lyndonkl

@lyndonkl source repo

269 skills
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1 day ago last updated

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Section Break Check · lyndonkl
Verifies the section-break style in a substacker draft matches the post register — asterisks (* * *) for essayistic posts under 2500 words, H2 for methodology / how-to / technical posts. Flags mixed registers (H2 in a reflective essay, asterisks in a structured how-to). Per the style-guide rhythm rule. Use every draft. Trigger keywords — section break, asterisk, H2, headers, register, essayistic vs methodology.

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Stress Test Analogy · lyndonkl
Stress-tests a proposed analogy by finding the edge where the mapping breaks, then frames that break as a teaching opportunity the writer can fold into the post. Every analogy has a boundary; the writer's style treats that boundary as a feature. Use after generate-analogy-set and map-analogy-to-concept, for each framing. Trigger keywords — where does it break, stress-test, boundary, edge case, fold the break, analogy limits.

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Structural Analysis · lyndonkl
Domain-neutral methodology for the second level of Adler-style reading - understanding what a document is about *as a whole* and how its parts relate. Classifies content (practical vs theoretical; sequential / categorical / structured / hybrid), states unity in one sentence, enumerates major parts and their organization, and defines the problems the document tries to solve. Reusable across any extraction workflow - skill creation from a methodology document, Pass-2 content grasp on an academic paper, structural review of a long-form document. Use when an agent has done inspectional reading and now needs to map structure before deeper component extraction. Trigger keywords - structural analysis, document structure, state unity, enumerate parts, Adler Level 2, content classification, define problems.

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Update Topic Ledger · lyndonkl
Maintains substacker shared-context/topic-ledger.md as an append-and-update index of all topics in the corpus. Each topic row tracks seed/draft/published counts, last-touched date, top-3 seed ids by density, and a hot/warm/cold temperature indicator. Use after any seed is created, promoted to draft, published, or killed. Trigger keywords — ledger, topic index, update index, topic ledger, hot/cold topics.

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Valuation Reporting · lyndonkl bundle
Assembles a finished company analysis into the deliverable a decision-maker reads — the executive summary, the value bridge, the assumptions that matter, the sensitivity range, and the recommendation with its catalysts and risks. Use when writing up a valuation, DCF, acquisition, IPO, restructuring or corporate finance analysis, when drafting REPORT.md or the verdict, or when deciding what belongs in the report.

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Voice Fitness Check · lyndonkl
Ranks a proposed set of framings against the writer's voice profile, especially the analogy-direction priority — biology > organizational > sports, with physics/military as voice violations. Produces a tier rating per framing and flags any framing that would break voice. Use in the Intuition Builder pipeline after generating framings, to order them by fit with the writer's register. Trigger keywords — voice fit, analogy direction, biology to AI, organizational to multi-agent, sports to calibration.

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Wc Tournament State · lyndonkl
Reads and updates the FIFA World Cup Fantasy tournament state machine (footballfantasy/context/tournament-state.md) — the temporal backbone tracking phase (pre-tournament → group MD1-3 → R32 → R16 → QF → SF → final), budget ($100m group / $105m knockouts), nation cap (3 group, loosening in knockouts), chips remaining, surviving nations, each owned player's elimination-risk horizon, and deadlines. Validates state on load (count/feasibility checks), applies phase transitions, and appends to the append-only state log (never silent overwrite). Use to load state at the start of a run and to commit state changes after the manager makes a move.

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Wc Transfer Planner · lyndonkl
Plans between-round FIFA World Cup Fantasy transfers — budgets the round's free transfer(s), forces out players whose nation has been eliminated, chases fixture-swing drops, upgrades on value, and decides when a rebuild is large enough to fire the Wildcard instead of spending free transfers one at a time. Ranks candidate in/out pairs by EV gain over each player's remaining survival horizon (delta xEV weighted by progression_carry) MINUS transfer cost (a free transfer is cheap, a points hit is real, churning the squad for marginal swings is a critic flag), and tags forced/fixture/upgrade priority. Emits a `transfer-plan` signal. Use when called by wc-squad-architect (whose transfer work this skill is the engine for) and by the strategists in the populate stage when their candidate is transfer-adjacent rather than a full rebuild.

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Write Weekly Digest · lyndonkl
Renders the Trend Scout ranked keep-and-drop lists into ops/trend-scout/YYYY-WW-digest.md using the agent voice profile and including an appendix of all sources surveyed. Use once per weekly run as the terminal skill. Trigger keywords — weekly digest, write digest, Trend Scout digest, Saturday morning digest.

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Write Weekly Report · lyndonkl
Composes the substacker final ops/growth-analyst/YYYY-WW-report.md from ingest + baseline + attribute + per-section + public-page outputs. Enforces 400-800 word budget, YAML frontmatter schema, seven-section body structure. Truncates weakest sections first when over budget. Injects data-caveats from any degraded-mode flags upstream. Use as the final compose step of the weekly pipeline. Trigger keywords — weekly report, compose report, growth report, Monday report.

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Analogy Weight Check · lyndonkl
For every analogy in a substacker draft, verifies it carries mechanical weight — the analogy does real work explaining the mechanism, not merely decorates it. Cross-references analogy-catalog.md for novelty (is this analogy reused from a prior post?) and domain fit (biology > organizational > sports preferred; physics/military disfavored). Use whenever an analogy appears in the draft. Trigger keywords — analogy weight, decorative, mechanical weight, reused analogy, catalog check, metaphor check.

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Cash Flow Forecaster · lyndonkl
Projects 30-90 days of daily cash flow per cash account by combining current balance, scheduled recurring inflows and outflows from recurring.json, and a 6-month rolling average of discretionary spend, then flags days where projected balance falls below a configurable safety floor. Use for forward planning, detecting upcoming overdrafts, sizing pre-funding for sinking funds, or when user mentions cash flow projection, runway, balance forecast, or upcoming bills coverage.

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Component Extraction · lyndonkl
Domain-neutral methodology for the third level of Adler-style reading - extracting structured components (terms, propositions, arguments, solutions) from a document section by section. Selects a reading strategy appropriate to document size and structure (section-based for documents under 50 pages with clear sections; windowing for long documents without breaks; targeted for hybrid content where only specific sections matter). Writes per-section extraction notes that downstream synthesis can consume. Reusable across any extraction workflow - skill creation from a methodology document, Pass-2 content grasp on a paper's full text, evidence-mining from a long-form report. Use when an agent has done structural analysis and now needs to extract the actual atomic content. Trigger keywords - component extraction, section-by-section extraction, extract terms, extract propositions, extract arguments, Adler Level 3, interpretive reading.

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Dcf Valuation Engine · lyndonkl bundle
Runs an intrinsic (discounted cash flow) valuation from value drivers — builds the year-by-year forecast with fading growth, margins and reinvestment, closes it with a terminal value, adjusts for failure risk, walks the bridge from operating assets to equity value per share, and runs sensitivity grids. Also reverse-engineers the market price into the growth or margin it already assumes. Use when valuing a company intrinsically, building a DCF or FCFF/FCFE model, computing terminal value or value per share, running valuation sensitivity, or asking what the market is pricing in.

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Ethics Safety Impact · lyndonkl bundle
Guides structured identification of potential harms, benefits, and differential impacts across stakeholder groups for decisions affecting people. Covers stakeholder mapping, fairness evaluation, risk mitigation design, and monitoring. Use when decisions could affect groups differently, need to anticipate harms/benefits, assess fairness and safety, identify vulnerable populations, or when user mentions ethical review, impact assessment, differential harm, safety analysis, bias audit, or responsible AI/tech.

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Extract Thread Spine · lyndonkl
Extracts the 5-7 point argument backbone of a published substacker essay into a structured _spine.json working artifact that downstream platform-rewrite skills consume. Pulls verbatim sentences where possible (not paraphrases). Tags each point with evidence anchor (paper, anecdote, formula, analogy), essay section, and translatability score. Use at the start of a Distribution Translator run. Trigger keywords — spine, backbone, extract claims, thread spine, argument skeleton.

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Fetch Substack Stats · lyndonkl
Pulls substacker's weekly Substack stats directly from the dashboard via Claude-in-Chrome browser automation. Navigates to substack.com/stats, parses the posts table and subscribers table, and produces the same typed WeekExport object that ingest-substack-csv produces — but without requiring a manual CSV export. The writer keeps Chrome signed in to Substack; this skill opens the dashboard in a new tab, reads the rendered stats, closes the tab. Primary data path for the Growth Analyst; ingest-substack-csv is the fallback when browser automation is unavailable. Trigger keywords — fetch stats, Substack dashboard, auto stats, Chrome stats, dashboard scrape, live stats, no CSV.

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Generate Analogy Set · lyndonkl
Generates exactly 5 distinct intuitive framings for a given technical topic — one everyday analogy, one physical metaphor, one contrarian take, one historical angle, one counterfactual. Each framing is a short scaffold (not prose), paired with its archetype and a one-line framing statement. Use when the writer invokes the Intuition Builder agent, as the core generation step before mapping, stress-testing, novelty checking, and voice fitness. Trigger keywords — generate framings, analogies for, give me 5, intuitive angles, framing set.

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Inspectional Reading · lyndonkl
Domain-neutral methodology for the first level of Adler-style reading - systematic skimming to determine what kind of document this is, what it's about as a whole, and whether deeper engagement is worth the time investment. Read title, metadata, table of contents or section headings, abstract or introduction, conclusion, and end-material at a glance. Classify document type (methodology, framework, tool, theoretical, reference, or hybrid). Decide whether to escalate to deeper reading. Reusable across any artifact-from-document workflow - paper extraction, skill creation from a methodology document, literature triage, reading-list pruning. Use when an agent needs to convert "I have a document, what is it" into structured downstream-actionable input. Trigger keywords - inspectional reading, systematic skimming, document classification, Adler reading, skim before reading, skill-worthiness check, paper triage, reading triage.

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Ml Primitive Decoder · lyndonkl bundle
Decomposes any ML construct (attention, layer norm, softmax, convolution, dropout, contrastive loss, diffusion step, gradient descent update, cross-entropy) into the small set of linear-algebra primitives it's built from, then explains why those primitives produce the observed behavior. Includes an ablation thought experiment that asks "what would break if you removed this piece?". Use when the user asks "why does X work?", "explain attention/conv/norm intuitively", "what's actually happening in this layer", or when reading an architecture paper and a particular block doesn't make sense yet.

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Mlb Matchup Analyzer · lyndonkl bundle
Analyzes a single MLB game from a fantasy perspective given home team, away team, and date. Emits structured matchup signals -- opp_sp_quality, park_hitter_factor, park_pitcher_factor, weather_risk, bullpen_state -- and a short narrative of platoon implications (handedness matchup for hitters). Use when preparing daily start/sit calls, evaluating a streaming pitcher's environment, sizing weather risk, or when user mentions matchup analysis, park factor, opposing pitcher, weather risk, or platoon.

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Narrative To Numbers · lyndonkl bundle
Builds the business story behind a valuation and connects it to the drivers that carry value — market size, growth, margin, reinvestment efficiency and risk. Tests a narrative as possible, plausible and probable, and keeps the feedback loop open. Use when starting a valuation, writing the story behind a company, setting growth or margin assumptions, sanity-checking a story against its numbers, choosing a target margin or sales-to-capital ratio, or when a valuation needs a defensible reason for its inputs.

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Numbers In Narrative · lyndonkl bundle
Writes quantities into prose so they land without overstating what the source supports. Applies a per-paragraph number-landing checklist (three numbers per paragraph, one per sentence, direction before magnitude, a comparison on the same screen), a unit-and-denominator lock that catches denominator drift, quantitative fidelity refusals (precision ceiling, rounding drift, percent vs percentage point, model output vs measurement), an uncertainty routing table, a declared likelihood-and-confidence ladder, and a chart-beat contract for exhibits that carry a claim. Use when drafting or editing prose that carries figures, statistics, benchmarks, forecasts or estimates, when a passage reads as a stat wall, when deciding how much precision or hedging a number can bear, or when the user mentions numbers in prose, rounding, denominator, per capita, percentage points, error bars, confidence, uncertainty, chart title, caption, or stat wall.

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PDF Statement Parser · lyndonkl
Parses a single financial statement PDF (checking, savings, credit card, brokerage, 401k, HSA, mortgage, tax form) and emits a normalized JSON record with institution, account mask, statement period, opening/closing balances, line-item transactions or holdings, and a confidence score. Use when extracting structured data from a bank, brokerage, retirement, or HSA PDF statement, when ingesting a drop of household finance documents, or when user mentions parsing a statement, extracting transactions from a PDF, or normalizing statement data.

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Per Section Tracking · lyndonkl
Breaks down weekly and trailing-4-week substacker performance per Substack section, keyed on section tags in corpus/published/ and section-map.md. Reports opens, clicks, subs-attributable-to-section per section with ≥3 posts. Skips if section-map has <2 sections. Feeds Curator with pruning candidates (sections with 4-week median z ≤ -1.0). Use when section-map has ≥2 live sections. Trigger keywords — per-section, section performance, section metrics, section pruning, differential engagement.

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Platform Voice Check · lyndonkl
Runs a voice-fidelity audit on each of the four substacker platform outputs (Substack Note, X thread, LinkedIn post, cross-post blurb) before reporting Distribution Translator completion. Checks for voice-don'ts (banned vocabulary, emoji, generic openers, marketing math without source), voice-do compliance (paper attribution preserved, hedges preserved, em-dash reframes present), platform-specific tonal shifts. Emits voice-check.md with pass/fail per artifact. Trigger keywords — platform voice check, voice-check, gate, distribution voice, slop-leak check.

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Spoken Draft Cleanup · lyndonkl
Turns a raw dictation transcript into a clean, editable draft while preserving the writer's voice and form exactly. MECHANICAL ONLY — removes fillers and false starts, restores sentence-boundary punctuation and paragraph breaks, and FLAGS likely transcription errors as questions rather than silently fixing them. It does NOT restructure, restyle, reword, or improve. Produces the cleaned draft plus a cleanup log of every change and every flag. This is the strict intake bridge from "speak out my article" to an editable draft, run before the advisory-edit passes. Use when cleaning a dictation/voice transcript, prepping a spoken draft for editing, or doing transcript intake. Trigger keywords — clean up transcript, dictation cleanup, spoken draft, transcript intake, remove fillers, flag transcription errors.

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Statement Reconciler · lyndonkl
Verifies that an extracted statement is internally consistent by checking that opening_balance + sum(transactions) = closing_balance within a small tolerance, and produces a reconciliation report flagging missing rows, double-counted rows, sign errors, and rounding diffs. Use as the gate between PDF extraction and committing transactions to the data store, when reconciling a statement that does not balance, or when user mentions reconcile, balance check, or statement does not tie out.

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Systemic Protagonist · lyndonkl bundle
Renders a market, protocol, institution, codebase, supply chain, disease, or ecosystem as a legible protagonist without faking agency. Builds the POSIWID character sheet (revealed objective function vs. stated purpose), the agency ledger of verb repairs, the gateway-proxy admission test, the traveling-object device, the instrumented threshold scene, and climax by constraint violation. Use when the subject of a piece is a system rather than a person, when a draft says "the market decided" or "the industry learned", when analysis reads as a data dump with no protagonist, or when user mentions systemic narrative, system as character, POSIWID, anthropomorphism, agency laundering, follow the flow, or institution as protagonist.

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Wc Clean Sheet Model · lyndonkl
Computes clean-sheet probability and defensive-returns EV for a team in a specific fixture from team defensive strength (xGA) against opponent attacking strength (xG), then models the STACK CORRELATION that turns a Clean-Sheet Spine (BB2) — GK + k same-team defenders — into a single correlated bet rather than k independent draws. Returns p_cs(team,fixture), a stack_corr_bonus capturing the amplified joint ceiling and shared downside (sign interacts with the rank objective θ — amplify when chasing, discount when protecting), and expected_ga with its conceding-points downside. Use when sizing a defensive stack, valuing a GK/DEF pick, scoring a candidate's BB2, or weighing the Clean Sheet Shield chip — called by wc-squad-architect, wc-matchday-tactician, wc-fitness-eval, and the strategists.

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Anomaly Fraud Scanner · lyndonkl
Scans transactions for fraud and anomaly signals — duplicate charges within 48 hours, transactions more than 3 standard deviations above a merchant's historical average, first-ever transaction with a new merchant above a high-dollar threshold, and unusual geography or time. Produces severity-tagged alerts with the transaction id, evidence, and a recommended action (call bank, freeze card, dispute, monitor). Use for vigilance scans on every drop, after any large unexplained outflow, or when user mentions fraud check, suspicious charge, anomaly detection, or duplicate charge.

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Attribute Performance · lyndonkl
For each substacker post that materially over- or under-performs the rolling baseline (|z| ≥ 1.0), produces a plain-English attribution paragraph with calibrated confidence (high / medium / low / unexplained). Considers subject-line effect, topic zeitgeist, external share, day-of-week, length effect, and audience-notes signals. Labels unexplained outliers explicitly rather than fabricating a story. Use after compute-baseline when outlier posts exist. Trigger keywords — attribution, why did this post work, outlier explanation, performance analysis.

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Check Analogy Novelty · lyndonkl
Cross-references each proposed analogy in a 5-framing set against substacker shared-context/analogy-catalog.md to flag reuse. Classifies each analogy as new, reused-from-catalog (and which entry), or adjacent-to-catalog (close to an existing entry but not identical). Prevents the writer from recycling "imagine a library" for the twentieth time. Use after generate-analogy-set and before presenting framings to the writer. Trigger keywords — novelty, catalog, analogy reuse, already used, imagine a library.

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Conf Theme Clustering · lyndonkl bundle
Cluster a conference's event records into a small set of coarse themes with finer sub-clusters, an explicit outlier bucket, and soft (multi-membership) affinities — using the hybrid embed-then-label pipeline (embed abstracts, reduce, density-cluster, then LLM-label the clusters) when embedding libraries are available, and an LLM-reasoned hierarchical fallback when they are not. Embeddings do the grouping; the LLM only names the groups. Conference-agnostic. Use when turning structured event records into a navigable theme map for preference elicitation and scheduling, when you need 6-8 reasonable themes rather than 20 muddy ones, or when overlapping talks must belong to more than one theme. Trigger keywords - theme clustering, cluster talks, embed then label, soft membership, outlier talks, conference themes, topic map.

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Cross Reference Claim · lyndonkl
Finds and cites a primary source for each substacker draft claim — original arXiv paper, official documentation, RFC, canonical textbook. Source hierarchy enforced — primary > secondary > tertiary > not-a-source. Records URL, title, passage/result that settles the claim. Use after classify-claim; runs once per claim unless classification is simplified-correct with high confidence on standard undergrad material. Trigger keywords — cross-reference, primary source, citation, arXiv, RFC, paper lookup, source hierarchy.

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Dedupe Against Corpus · lyndonkl
Checks a candidate seed against the existing substacker corpus (seeds, drafts, published) for exact duplicates (sha256 fingerprint) and near-duplicates (title Jaccard, first-200-word Jaccard, shared topic cluster). Exact match exits as SKIPPED. Near-match links via related_seeds rather than creating a duplicate. Use after topic tagging and density scoring, before writing the seed. Trigger keywords — dedupe, duplicate, already thought, near-match, related seed, fingerprint.

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Design Of Experiments · lyndonkl bundle
Generates structured experimental designs (factorial, response surface, Taguchi) to systematically discover how multiple factors affect outcomes while minimizing experimental runs. Use when optimizing multi-factor systems with limited experimental budget, screening many variables to find the vital few, discovering interactions between parameters, mapping response surfaces for peak performance, validating robustness to noise factors, or when users mention factorial designs, A/B/n testing, parameter tuning, or process optimization.

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Facilitation Patterns · lyndonkl bundle
Provides structured formats and techniques for running productive group sessions, from standups to multi-day workshops. Covers format selection, agenda design, participation management, decision methods, and handling difficult dynamics. Use when running meetings, workshops, brainstorms, design sprints, retrospectives, or team decision-making sessions, or when user mentions facilitation, workshop design, meeting patterns, session planning, or effective collaboration.

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Fetch Preprint Recent · lyndonkl
Fetches preprints posted to bioRxiv or medRxiv within a given date window, then keyword-filters the results client-side. Wraps the public `api.biorxiv.org/details/{server}/{from}/{to}/{cursor}` endpoint, handles cursor pagination, normalizes records to a stable shape (doi, title, authors, abstract, date, server, version, url), and applies a keyword-OR match against title + abstract. Domain-neutral — usable for any biology / clinical preprint scan, not just one project. Use when user mentions bioRxiv, medRxiv, weekly preprint scan, fetch preprints, last-N-days preprints, or when a literature-scan agent needs structured preprint records.

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Focus Timeboxing 8020 · lyndonkl bundle
Combines Pareto prioritization (80/20), timeboxing, and deep work techniques to manage attention, eliminate context-switching, and maximize high-impact output. Use when managing time and attention, combating procrastination, prioritizing high-impact work, planning daily/weekly schedules, or when user mentions timeboxing, Pomodoro, deep work, 80/20 rule, Pareto principle, focus blocks, task batching, or energy management.

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Ladder Of Abstraction · lyndonkl bundle
Moves prose deliberately between the concrete and the abstract and stops it stranding in the middle rung where bureaucratic prose lives. Tags every paragraph R1 (named particulars) to R4 (meaning), enforces run rules, detects the middle-rung trap, repairs it by climbing down to a real particular rather than simplifying vocabulary, gates the top rung with a counter-sentence test, and closes with an A-frame descent. Use when a draft reads as dense, vague, or jargon-heavy, when a readability score fails, when a conclusion feels grandiose or unearned, when technical material will not land for a general reader, or when user mentions ladder of abstraction, too abstract, too vague, concrete example, middle rung, dead zone, jargon, altitude, zoom in, zoom out, and thus capitalism.

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Linkedin Post Rewrite · lyndonkl
Rewrites a published substacker essay as a LinkedIn post with a hook fitting the 210-char fold, practitioner framing (less confessional than Substack), short 2-3 line paragraphs, and 0-2 niche hashtags. 900-2500 characters. Emits linkedin-post.md. Use as the LinkedIn-native arm of the Distribution Translator. Trigger keywords — LinkedIn post, LinkedIn rewrite, practitioner, professional network, niche hashtags.

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Mlb Opponent Profiler · lyndonkl bundle
Weekly refresh of per-opponent archetype + behavioral profiles for the 11 opposing teams in the user's Yahoo Fantasy Baseball league (ID 23756). Thin baseball-specific wrapper around the domain-neutral `opponent-archetype-classifier` -- provides the 10-archetype MLB taxonomy (balanced, stars_and_scrubs, punt_sv, punt_sb, punt_wins_qs, hitter_heavy, pitcher_heavy, inactive, frustrated_active, unknown), extracts MLB features from Yahoo pages (draft distribution, FAAB spend, waiver pattern, roster composition, lineup consistency, trade activity, recent record, activity recency), invokes the classifier, and writes/updates `context/opponents/<team-slug>.md` files per `opponent-profile-schema.md`. Read-modify-write preserves manual notes. Emits a weekly summary signal at `signals/wkNN-opponent-profiles.md`. Use when user says "opponent profiling", "classify opposing manager", "update opponent profiles", "refresh opponents", "weekly opponent scout", or "MLB fantasy opponent archetype".

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Mlb Playoff Scheduler · lyndonkl bundle
Counts MLB games per team during the Yahoo fantasy playoff window (weeks 21, 22, 23 -- Aug 17 through Sep 6, 2026) and grades the quality of each team's opponents. Emits three signals per rostered player -- playoff_games (int, max ~21), playoff_matchup_quality (0-100), holding_value (0-100) -- that drive trade-deadline and playoff-lineup decisions. Use when the user mentions playoff weeks, weeks 21-23, playoff schedule, game count, holding value, or asks whether to keep/trade a player for the playoff run. Pre-July 1 this skill returns "insufficient signal -- too early"; from July 1 onward it fires weekly.

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Monte Carlo Valuation · lyndonkl bundle
Turns a point-estimate valuation into a distribution — samples the drivers you are least sure about from normal, lognormal, triangular, uniform or discrete-scenario distributions, re-runs the DCF engine on every draw, and reports percentiles, mean, standard deviation, the probability the value exceeds the market price, and the share of draws the engine refused as infeasible. Correlates drivers through a shared common factor. Use when running a Monte Carlo simulation or a probabilistic valuation, putting a range or confidence band around a value per share, asking how likely it is that a stock is under- or overvalued, valuing a commodity or cyclical company where one macro variable such as the oil price dominates, or turning a scenario grid into a probability-weighted expected value.

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Narrative Arc Mapping · lyndonkl bundle
Maps researched evidence onto Truby's twenty-two structural steps without fabricating the steps the evidence cannot fill. Runs the designing-principle discrimination test, step-fit triage (PRESENT / ABSENT / NOT APPLICABLE), per-slot warrant cards, the empty-slot decision table, the moral-argument spine, and the revelation-intensity audit, then stops at a tagged scene weave. Use when architecting a long-form nonfiction piece from a research corpus, structuring a post-mortem, market history, biography, or science writeup, or when user mentions Truby, 22 steps, designing principle, moral argument, revelation sequence, scene weave, or step-fit triage.

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Narrative Form Triage · lyndonkl bundle
Decides which narrative form a body of researched material can actually support, before any structure is imposed. Runs a six-question form-triage gate producing STORY NARRATIVE, EXPLANATORY NARRATIVE, MULTI-NODE GATHERING, or DO NOT NARRATE; runs the ABT (And/But/Therefore) spine diagnostic; selects a spine from a thirteen-structure table covering Truby arc, layer cake, pyramid/SCQA, OCAR, PR/FAQ, sparkline, Raskin five-slot, martini glass, drill-down, inverted pyramid and braided/mosaic; and writes an immutable spine contract with a boredom budget. Use before outlining or drafting any long-form nonfiction, report, post-mortem, market history, research writeup or case study, or when user mentions find the narrative, what's the story here, narrative arc, story structure, how should I structure this, does this have a story, or storytelling with data.

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Project Risk Register · lyndonkl bundle
Identifies, assesses, and prioritizes project risks using probability-times-impact scoring (risk matrix), then assigns owners, mitigation plans, contingencies, and triggers to track risk evolution over the project lifecycle. Use when managing project uncertainty, building a risk register, conducting risk assessments, defining risk mitigation plans, or when user mentions risk register, risk management, probability-impact matrix, or asks "what could go wrong with this project?".

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Security Threat Model · lyndonkl bundle
Systematically identifies vulnerabilities, threats, and mitigations for systems handling sensitive data using STRIDE methodology, trust boundary mapping, and defense-in-depth principles. Use when designing or reviewing systems with PII/PHI/financial/auth data, building security-sensitive features (auth, payments, file uploads, APIs), preparing for audits or compliance (PCI, HIPAA, SOC 2), investigating incidents, or integrating third-party services. Use when user mentions threat model, STRIDE, trust boundaries, attack surface, or security review.

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Substack Note Rewrite · lyndonkl
Rewrites a published substacker essay as a Substack Note using the extracted spine and chosen hook. Closest voice to the essay. Bolded maxim closer. Single link line. 60-180 words. Emits substack-note.md in the post's distribution folder. Use as the Substack-native arm of the Distribution Translator. Trigger keywords — Substack Note, note rewrite, note post, tease, Notes feed.

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Synthesis And Analogy · lyndonkl bundle
Synthesizes information from multiple sources into coherent insights and applies analogical reasoning to transfer knowledge across domains. Use when conducting literature reviews, integrating stakeholder feedback, reconciling conflicting viewpoints, identifying cross-source patterns, creating explanatory analogies ("X is like Y"), finding creative solutions through cross-domain transfer, or testing whether analogies hold (surface vs deep). Use when user mentions "synthesize", "combine sources", "analogy", "similar to", "transfer from", "integrate findings".

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Synthesis Application · lyndonkl
Domain-neutral methodology for evaluating completeness and logical soundness of an extracted set of components, then transforming them into actionable guidance. Runs the "is it true / is it complete / what of it" critical evaluation pass before any final artifact is built. Checks for completeness gaps, logical consistency, contradictions, and practical applicability. Reusable across any extraction workflow - skill creation (evaluating extracted components before building SKILL.md), paper extraction (evaluating Pass 2 extraction notes before deep reading), report writing (evaluating gathered evidence before synthesis). Use when an agent has extracted structured components from a source and needs to gate-check before downstream commitment. Trigger keywords - synthesis evaluation, completeness check, logic check, critical evaluation, fact-check before synthesis, gap analysis, what is not said.

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Update Audience Notes · lyndonkl
Appends one structured YAML observation block to substacker shared-context/audience-notes.md iff the week produced at least one observation with confidence ≥ medium. Includes supporting evidence (post slugs + numbers) and reviewed_by_curator flag. Never rewrites or deletes prior entries. Append-only discipline protects downstream agents' shared context. Use at the end of each weekly pipeline after write-weekly-report. Trigger keywords — audience notes, append observation, audience insight, confidence-rated.

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Wc Archetype Mutation · lyndonkl
The mutation operator for the FIFA World Cup Fantasy evolution engine. Applies small, bounded, feasibility-preserving perturbations to a recombined offspring squad/plan — swap one differential for an adjacent-price alternative, reorder the bench by kickoff, shift one captain-ladder step, try one fixture-swing transfer, nudge one enabler. Mutation rate is low by default and raised on demand by the diversity governor when the population has collapsed. Each mutation stays inside budget/nation/formation feasibility. Use in the mutate stage after recombination, or when wc-population-diversity calls for more exploration.

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Write Review Artifact · lyndonkl
Composes the final Technical Reviewer artifact at ops/technical-reviewer/YYYY-MM-DD-{slug}-review.md. Enforces frontmatter schema, section order (Summary → Blockers → Claims → Boundary-Break Suggestions → Glossary Alignment → Could-Not-Verify → Research Log), go/no-go decision rule, and never-modify-draft principle. Use exactly once per Technical Reviewer run as the last step. Trigger keywords — write review, technical review artifact, compose review, claim review output.

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Write Section Promise · lyndonkl
Crafts the one-sentence promise a substacker section makes to its reader — specific, testable, non-overlapping with other sections, written in the writer's voice (not marketing). Use when propose-section stages a new section or when an existing promise is being revised. Trigger keywords — section promise, one-sentence promise, section statement, reader promise.

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Check Corpus Readiness · lyndonkl
Checks whether the substacker corpus has enough material to justify a Curator run. Counts published posts, time-gates against the last review, and reports go/no-go with the specific gate that failed. Use before any Curator run, and on cold start to decide whether to propose sections yet. Trigger keywords — readiness, corpus ready, gate check, cadence gate, pre-flight.

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Cross Ref Topic Ledger · lyndonkl
For each Trend Scout candidate item, checks substacker shared-context/topic-ledger.md and tags with NEW | OVERLAPS seed:{slug} | OVERLAPS draft:{slug} | OVERLAPS published:{slug}. Adds a reinforcement_angle note for items overlapping with published posts ("external confirmation of X"). Read-only against the ledger. Use after summarize-signal, before rank-by-user-fit. Trigger keywords — cross-ref, ledger check, overlap, reinforcement, dedup external.

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Graphrag System Design · lyndonkl bundle
Designs complete GraphRAG systems integrating graph databases, vector stores, orchestration frameworks, and LLM reasoning. Guides through pattern selection, technology stack decisions, integration pipeline design, and domain-specific customizations. Use when designing GraphRAG systems, choosing technology stacks for graph-augmented retrieval, combining Neo4j with LLM, using LangChain/LlamaIndex knowledge graphs, applying community detection for RAG, building hybrid symbol-vector pipelines, or deploying production or domain-specific GraphRAG.

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Map Analogy To Concept · lyndonkl
Produces an explicit component-by-component mapping from the analogy's source domain to the target technical concept. Rejects vague analogies by forcing each source element to map to a specific target element, and flags unmapped elements as voice-breaking ("it's like a brain" is rejected because "brain" is unmapped). Use after generate-analogy-set, for each of the 5 framings. Trigger keywords — map, component mapping, source target, explicit mapping, what does the X correspond to.

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Mlb Regression Flagger · lyndonkl bundle
Identifies fantasy baseball players whose surface stats (wOBA, ERA, batting average) are diverging from their underlying Statcast quality (xwOBA, FIP, xBA) — emits a `regression_index` from -100 (very lucky, sell high) to +100 (very unlucky, buy low). Primary signal for buy-low/sell-high decisions on trades and waivers. Use when user mentions "buy low", "sell high", "regression candidate", "lucky", "unlucky", "xwOBA gap", "ERA-FIP gap", "BABIP", "due for regression", or is deciding whether to trade for / trade away a player based on over- or under-performance.

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Paper Cluster By Theme · lyndonkl
Groups a set of kept papers into 2-5 thematic clusters before synthesis, using abstract semantics + matched-keyword overlap. Names each cluster with a short noun phrase that describes what the cluster argues, not just the topic. Surfaces an "outliers" bucket for single-paper themes that don't fit. Domain-neutral - usable for any literature-scan workflow. Use after relevance filtering and before writing the synthesis report. Trigger keywords - cluster papers, group by theme, thematic clusters, paper themes, organize papers.

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Paper Relevance Filter · lyndonkl
Scores a candidate paper against a keyword watchlist and a relevance-criteria document, returning KEEP/DROP/REVIEW with a one-line rationale and a 0-100 relevance score. Combines keyword-match strength, criteria-fit, and a historical-context check (was this paper or its preprint already covered in a recent digest). Domain-neutral - usable for any literature-scan workflow. Use after fetching candidate papers from bioRxiv, medRxiv, or PubMed and before clustering or synthesis. Trigger keywords - paper relevance, filter papers, keep or drop, score papers, relevance rationale.

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Paragraph Rhythm Check · lyndonkl
Checks paragraph rhythm in a substacker draft — long/short mix, one-sentence paragraph at pivots, no walls, avoid monotony. Flags drafts where >3 consecutive paragraphs share the same length bucket, where the pivot lacks a one-sentence paragraph, or where any paragraph exceeds 120 words. Use in the Editor's structural pass. Trigger keywords — rhythm, paragraph length, wall of text, one-sentence paragraph, pivot, monotone.

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Payout Policy Analysis · lyndonkl bundle
Assesses whether a company returns the right amount of cash to shareholders. Computes FCFE over a history under three debt assumptions, compares it against dividends plus buybacks to give the cash surplus or deficit, places the firm in the dividend matrix of affordability against project quality, projects forward FCFE and buyback capacity, and benchmarks payout ratio and dividend yield against peers and the market. Handles bank FCFE from regulatory capital. Use for dividend policy, payout ratio, dividend yield, potential dividends, FCFE, cash returned, buybacks, share repurchase capacity, excess cash, dividend cut or increase, cash accumulator or overpayer, or the dividend matrix.

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Propose Counterfactual · lyndonkl
Produces the counterfactual framing in an Intuition Builder 5-set — "what if this component were not here?" Reveals the function of a technical element by subtracting it and observing what breaks. Uses Pearl's causal ladder (counterfactual = level 3) as the theoretical spine. Use as the 5th archetype slot of generate-analogy-set, or invoked standalone when the writer wants to build intuition for why a specific element exists. Trigger keywords — counterfactual, what if not, remove, subtract, reveal function, why does this exist.

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Prose Force And Rhythm · lyndonkl bundle
Runs Jack Hart's Wordcraft line passes in strict order (Structure, Force, Brevity, Clarity, Rhythm, Humanity, Color, Voice, Mechanics) followed by a slop audit, one pass per edit class, with a claim-strength invariant that stops verb strengthening and hedge cutting from silently overclaiming. Enforces upward escalation instead of downward compensation, a protected-hedge list, a clarity split log the rhythm pass may not undo, and rhythm metrics reported as diagnostics rather than optimized. Use when line-editing a draft, tightening flabby prose, fixing weak verbs or monotonous sentence rhythm, de-slopping AI-sounding copy, or when user mentions line edit, force pass, punch it up, tighten this, passive voice, wordy, sentence variety, sounds like AI, burstiness, or Wordcraft.

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Update Analogy Catalog · lyndonkl
Appends an entry to substacker shared-context/analogy-catalog.md when the writer PUBLISHES a post that uses a new analogy. Not invoked on seed or draft — only on publish. Records source, target, post, freshness, mapping, where-it-breaks, and why-it-worked. Prevents silent recycling in future Intuition Builder runs. Use at publish time for any post that contains a non-trivial analogy. Trigger keywords — catalog, analogy catalog, update catalog, publish, analogy archive.

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Wc Fixture Progression · lyndonkl
Rates fixture difficulty (separately for an attacking and a defending fantasy asset, 1-5 each way, from opponent xGA/xG), computes team progression probabilities (group qualification odds from the mini-table; round-by-round knockout survival down the bracket) by reference-class forecasting updated Bayesianly on observed form and group state, detects weak-group/mismatch fixtures (powerhouse-vs-minnow -> captain candidates and clean-sheet locks), and builds a multi-round swing calendar of where each team's difficulty flips so transfers can be planned ahead. Emits the `fixture` signal. Use when called by wc-fixture-analyst, by the strategists in the populate stage, and by wc-fitness-eval for its progression_carry term — and never re-derive these once the signal exists.

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Adverse Selection Prior · lyndonkl bundle
Produces a Bayesian prior probability that an offered transaction is +EV for the recipient, given that the counterparty chose to propose it. Applies Akerlof market-for-lemons logic -- if they offered it, they believe it is +EV for them, so the prior that it is +EV for us is materially below 50%. Reusable across trade evaluation, waiver drops (another team dropping a player is also adverse selection), job-offer analysis, M&A, and any "someone offered me this" situation. Use when you receive an unsolicited trade/offer/proposal, analyzing incoming trade prior, evaluating why a counterparty proposed a deal, or when user mentions adverse selection, market for lemons, why did they offer this, incoming trade prior, they proposed it, Bayesian adjustment on received offer.

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Category Trend Analyzer · lyndonkl
For each spending category, computes current-period spend, 6-month rolling average, year-over-year delta, and budget variance, then flags categories that are outliers (>1.5x rolling average or >130% of budget). Produces a ranked list of categories that grew, shrank, or stayed flat, plus the top transactions driving each outlier. Use for monthly spending reviews, identifying lifestyle creep, evaluating budget adherence, or when user mentions category trends, spending changes, budget variance, or outlier spend.

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Chain Spec Risk Metrics · lyndonkl bundle
Chains together clear specifications, proactive risk analysis (premortem/register), and measurable success metrics into a comprehensive planning artifact for high-stakes initiatives. Use when planning migrations, launches, or strategic changes that need implementation roadmaps, risk mitigation, and instrumentation. Invoke when user mentions "plan this migration", "launch strategy", "implementation roadmap", "what could go wrong", "how do we measure success", or when high-impact decisions need comprehensive planning.

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Cluster Corpus By Theme · lyndonkl
Performs axial-coding-style thematic clustering over the substacker corpus of published posts to surface candidate sections. Uses Braun & Clarke's six-phase thematic analysis — familiarization, initial coding, searching for themes, reviewing themes, defining themes, naming. Reads full bodies, not titles. Use when re-opening the section question. Trigger keywords — cluster, theme, axial coding, thematic analysis, candidate sections.

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Conf Program Extraction · lyndonkl
Parse a heterogeneous conference program (markdown, HTML, PDF-derived text, or JSON) into normalized event records with per-field confidence scores and independent classification axes (topic, depth, format, prerequisites, recorded, capacity). Detects the program's format before extracting, treats every inferred field as uncertain (present vs inferred vs missing), and flags thin or missing abstracts so downstream enrichment can target them. Conference-agnostic. Use when ingesting a conference or event schedule into a structured store, normalizing a talk/session list, or extracting per-session metadata with calibrated confidence. Trigger keywords - program ingestion, parse schedule, session extraction, event records, conference program, talk metadata, per-field confidence.

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Cost Of Capital Toolkit · lyndonkl bundle
Estimates discount rates and the optimal financing mix — riskfree rate in any currency, equity risk premium including country risk, bottom-up and total betas, synthetic credit ratings from interest coverage, cost of debt, market value of debt, WACC, the implied equity risk premium solved from current index levels, and the cost-of-capital schedule across debt ratios that locates the optimal debt ratio, with an APV cross-check and a stress test under rating constraints. Bundles Damodaran's rating and spread tables, Altman default probabilities, industry-average betas and multiples, and country risk premiums, each tagged with its vintage. Use when estimating a discount rate, WACC, hurdle rate, cost of equity or cost of debt, unlevering or relevering a beta, when a company has no credit rating, when estimating the equity risk premium priced into the market, when looking up a sector beta or country risk premium, when converting a rate between currencies, or when finding or stressing an optimal capital structure.

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Design Evaluation Audit · lyndonkl bundle
Systematically evaluates existing designs against cognitive science principles using repeatable checklists, scoring rubrics, and severity-classified fix recommendations. Use when conducting design reviews or critiques, evaluating designs for cognitive alignment, performing quality assurance before launch, diagnosing usability issues, or choosing between design alternatives with objective criteria.

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Fetch Public Page Stats · lyndonkl
Uses WebFetch to pull publicly visible subscriber count and per-post public view count from substacker's Substack archive page and individual post URLs. Supplements the CSV when subscriber-count field is stale (>24h old) or when a post has public shares not yet reflected. Rate-limited to ≤10 fetches per invocation. Use when CSV subscribers-end field may have drifted or when external-share attribution needs a public signal. Trigger keywords — public stats, Substack public page, subscriber count check, post views supplement, WebFetch.

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Fetch Watchlist Sources · lyndonkl
Fetches the last 7 days of updates from every entry in the substacker Trend Scout watchlist — blogs, paper aggregators (arXiv, Hugging Face papers), social feeds. Returns normalized {title, url, author, published, excerpt, source_type} tuples. Use at the start of a weekly Trend Scout run. Trigger keywords — watchlist, fetch sources, weekly fetch, last 7 days, source normalization.

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Financial Data Sourcing · lyndonkl bundle
Maps every input a company analysis needs to where it comes from — filing line items, market data, Damodaran reference datasets, macro series — with units, update frequency, acceptable fallbacks and the consistency rules that bind them. Use when gathering data for a valuation, when an input is missing and a substitute is needed, when deciding whether a user-supplied figure can be accepted at face value, or when checking that figures are internally consistent.

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Meta Prompt Engineering · lyndonkl bundle
Transforms vague or unreliable prompts into structured, constraint-aware prompts with explicit roles, task decomposition, output formats, and quality checks. Use when prompts produce inconsistent outputs, need explicit structure and constraints, require safety guardrails, involve multi-step reasoning that needs decomposition, need domain expertise encoding, or when user mentions improving prompts, prompt templates, structured prompts, prompt optimization, reliable AI outputs, or prompt patterns.

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Mlb Beginner Translator · lyndonkl bundle
Converts baseball and fantasy-baseball jargon into plain English for a user with zero baseball knowledge. Wraps every user-facing sentence produced by the MLB agent team (morning briefs, trade recommendations, waiver calls, chat summaries). Detects jargon terms, attaches an inline parenthetical plain-English gloss on first mention in a document, enforces the action-verb ladder (START / SIT / ADD / DROP / BID $X / ACCEPT / COUNTER / REJECT), and rejects assumed-knowledge phrases like "hot streak" or "positive matchup." Use when asked to translate for beginner, explain in plain English, translate this, write without jargon, make it beginner-friendly, or produce any user-facing MLB output for K L D'Souza's Fantasy Baseball 2K25 team.

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Mlb League State Reader · lyndonkl bundle
Parses Yahoo Fantasy Baseball league state (roster, standings, current matchup, FAAB remaining, free agents) from authenticated Yahoo team pages via Claude-in-Chrome browser automation, then grounds it against league-config.md and team-profile.md to emit a normalized league-state bundle every other agent can consume without re-scraping. Use when the coach or any downstream agent needs to read Yahoo roster, refresh team profile, pull league state, get current matchup, check FAAB remaining, list free agents, or when user mentions "what's on my roster", "who am I playing this week", "how much FAAB do I have left", or "refresh my team".

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Narrative Fallacy Guard · lyndonkl bundle
Stops a true set of facts from being assembled into a false story. Runs the retrospective slot audit, the outcome-blind rewrite (flip test, separation test), the inevitability audit with its overshoot check, the survivorship graveyard pass, the counterfactual admissibility gate, and the expensive proportion and omission audits. Every check labels and discloses; none deletes. Use when drafting or reviewing history, post-mortems, biography, market or protocol narratives, research writeups, or any account written after the outcome was known, or when user mentions hindsight bias, narrative fallacy, survivorship bias, inevitability, halo effect, outcome bias, just-so story, teleology, or Whig history.

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Prototyping Pretotyping · lyndonkl bundle
Guides validation of ideas before full development using pretotyping (fake doors, concierge MVPs, Wizard of Oz) and prototyping at appropriate fidelity (paper, clickable, coded) to test assumptions about demand, pricing, and feasibility. Use when testing ideas cheaply before building, choosing prototype fidelity, running experiments to validate assumptions, or when user mentions prototype, MVP, fake door test, concierge, Wizard of Oz, landing page test, smoke test, or asks "how can we validate this idea before building?".

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Scene Construction Scam · lyndonkl bundle
Builds scenes that are reported rather than generated, by running a four-slot SCAM qualification gate (Setting, Character, Action, Meaning) with a source required per slot, a scene floor and ceiling, the 1-of-20 telling-detail cut with a provenance veto, the RUE pass, and a scene/summary narrative-distance audit against per-form ratio targets. Every technique has a person variant and a system variant (market, protocol, institution, codebase, supply chain). Use when turning research notes into a scene, opening a section with a moment, deciding whether a passage is a scene or summary, or auditing whether a vivid paragraph is actually sourced, or when user mentions scene, SCAM, show don't tell, telling detail, scene vs summary, summary in costume, establishing shot, make this vivid, or in medias res.

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Score Intuition Density · lyndonkl
Computes a 0-10 intuition-density score for a seed body using 8 concrete measurable signals — analogy presence, concrete worked example, counterfactual offered, reframe against default, biology-to-AI transfer, question posed, calibrated hedge, math-to-metaphor handoff. Emits both the numeric score and the list of triggered signals for auditability. Use after topic tagging to enrich seed frontmatter in the substacker Librarian pipeline. Trigger keywords — intuition density, score, signals, analogy count, worked example, density proxy.

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Stakeholders Org Design · lyndonkl bundle
Provides frameworks for mapping stakeholder influence networks, designing team structures aligned with system architecture (Conway's Law), defining team interface contracts (APIs, SLAs, decision rights), and assessing capability maturity (DORA, CMMC, agile models). Use when designing org structure or team topologies, mapping stakeholders for change initiatives, defining team interfaces, assessing capability maturity, planning restructures, or when user mentions org design, team structure, stakeholder map, Conway's Law, or RACI.

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Transaction Categorizer · lyndonkl
Assigns a category and subcategory to a financial transaction by matching its raw description against a configurable taxonomy and rules table, falling back to LLM inference when no rule matches. Emits a normalized merchant name, category path, recurring flag, and confidence score, and proposes new rules from confirmed classifications. Use when categorizing bank, credit-card, or brokerage transactions, building or refining a category taxonomy, or when user mentions transaction categorization, merchant normalization, expense classification, or category rules.

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Wc Population Diversity · lyndonkl
Measures and protects diversity in the FIFA World Cup Fantasy evolution engine — the anti-inbreeding / selection-pressure governor from the Evolution document. Computes how collapsed an offspring set is (pairwise squad overlap %, captain overlap, ownership-profile spread, variance-band coverage); if the population has converged toward one template (premature convergence / local optimum), it injects an under-represented genotype's blocks and/or raises the mutation rate and signals a re-run; and it tunes selection pressure (too high collapses the gene pool, too low makes the board noise). Ensures the manager's board always offers a real choice across the variance spectrum. Use after recombination + mutation, before emitting offspring.

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Classify Post To Section · lyndonkl
Assigns a substacker draft or published post to the best-fitting section (or to unassigned) based on content + section promises in section-map.md. Used by the Editor on every draft review (to load the right voice overlay) and by the Curator in batch mode. Trigger keywords — classify post, section assignment, which section, route post, per-draft section.

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Concept Rediscovery Walk · lyndonkl bundle
Guides a learner to invent a math or ML concept themselves through a Socratic walk — a sequence of small guessable questions that ends with the learner stating the formal definition unprompted. The 3Blue1Brown signature move. Use when the learner is meeting a foundational concept (eigenvectors, gradient, attention, softmax, KL divergence) for the first time, when prior exposure produced memorization without understanding, or when the user says "explain it from scratch", "I want to really get it", "build it up for me", or "where does this come from".

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Conf Abstract Enrichment · lyndonkl
Thicken a thin or missing conference-session abstract through targeted web research so short, noisy text becomes classifiable — pulling the speaker's recent work, the linked repo or paper, and the company/product to add signal. Every enriched claim carries provenance (source URL + retrieval date) and a confidence, the enriched text is stored separately from the original (never overwriting it), and enrichment is gated so already-rich abstracts are left alone. Conference-agnostic. Use when an event record has been flagged thin by program extraction, when a session lacks enough text to classify, or when a key axis (depth, topic) is low-confidence. Trigger keywords - abstract enrichment, thicken abstract, enrich session, speaker research, thin abstract, runtime web search for talks.

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Financial Unit Economics · lyndonkl bundle
Analyzes profitability per customer, product, or transaction to determine business model viability and scalability. Covers CAC, LTV, contribution margin, cohort analysis, and growth-readiness assessment. Use when evaluating business model viability, validating startup metrics (CAC, LTV, payback period), making pricing decisions, comparing business models, or when user mentions unit economics, CAC/LTV ratio, contribution margin, customer profitability, or break-even analysis.

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Glossary Alignment Check · lyndonkl
For each technical term in a substacker draft's claims, checks shared-context/glossary.md for a writer-specific definition and compares to field-standard. Emits a note for terms where the two diverge (aligned / diverged-safe / diverged-risky). Feeds into classify-claim (which definition governs) and write-review-artifact's Glossary Alignment section. Use on every claim. Trigger keywords — glossary alignment, term definition, writer vs field, load-bearing term.

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Grant Proposal Assistant · lyndonkl bundle
Guides creation and review of competitive grant proposals (NIH R01/R21/K, NSF, foundations) by applying reviewer-perspective thinking to ensure clear hypotheses, compelling significance, genuine innovation, and feasible approaches. Use when writing or reviewing grant proposals, crafting specific aims, drafting significance/innovation/approach sections, or when user mentions R01, R21, K-series, grant writing, proposal review, study section, or fundable hypothesis.

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Information Architecture · lyndonkl bundle
Organizes, structures, and labels content so users can find and manage information effectively. Guides through content audits, card sorting, taxonomy design, navigation structure, and tree testing validation. Use when organizing content for digital products, designing navigation systems, restructuring information hierarchies, improving findability, creating taxonomies or metadata schemas, or when users mention information architecture, IA, sitemap, navigation design, content structure, card sorting, tree testing, taxonomy, or findability.

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Kill Criteria Exit Ramps · lyndonkl bundle
Establishes pre-defined, objective conditions for stopping projects and specific decision points for continue/pivot/kill evaluations. Guides through defining kill criteria, setting go/no-go gates, avoiding sunk cost fallacy, and executing disciplined stopping decisions. Use when defining stopping rules for projects, avoiding sunk cost fallacy, setting objective exit criteria, deciding whether to continue/pivot/kill initiatives, or when users mention kill criteria, exit ramps, stopping rules, go/no-go decisions, project termination, or sunk costs.

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Learning In Public Voice · lyndonkl
House style for learning-in-public essays — a curious practitioner thinking out loud while learning a hard technical subject (here, ML-driven crop genetics / genomic selection). First-person, concrete-first, honest about the edge of understanding, mechanism over vocabulary. Provides the register, the hook patterns, the anti-slop hard rules, and the rule for reading a per-writer voice-profile.md so the voice stays the writer's own. Use when drafting a vault-style post from evergreen notes, or as the lens an advisory editor critiques against. This skill never imposes voice; it describes defaults and defers to the writer's profile.

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Market Mechanics Betting · lyndonkl bundle
Translates beliefs (probabilities) into optimal actions (bet/pass/hedge) using quantitative frameworks including edge calculation, Kelly Criterion bet sizing, forecast extremizing, and Brier score optimization. Use when converting probabilities into decisions, calculating edge against market odds, sizing bets optimally, extremizing aggregated forecasts, improving Brier scores, or when user mentions betting strategy, Kelly Criterion, edge calculation, Brier score, extremizing, or translating belief into action.

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Narrative Fidelity Audit · lyndonkl bundle
Runs the hard gate on invention in fact-based narrative — a bright-line refusal sweep, an interior-state provenance ladder ([A] said-so / [B] contemporaneous document / [C] behavioural inference / [D] unsourced, where any [D] blocks publication), an LLM-specific fabrication red-flag scan, a three-altitude "How do you know?" prosecution at sentence, paragraph and passage level, a subtraction-log set review, and a note on sources generated from the deviation log. Use before shipping any narrative built on real evidence — market history, incident post-mortem, biography, ML writeup, supply-chain reconstruction, science writing — or when the user mentions fact-check, fidelity audit, fabrication check, invented detail, sourcing pass, did I make this up, composite scene, note on sources, or is this defensible.

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269 published skills · page 2 of 3