aaddrick
- 62 skills
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- 10 hours ago last updated
- ▌ Help · aaddrickExplain what slushpile is, what each skill does, what order to run them in, where the workspace files live, and how to set up a voice agent. Use when the user asks how slushpile works, what to run next, or how to fix a workspace problem.
- ▌ Status · aaddrickRead every application.yaml in the workspace and report the state of the search — the ranked queue, what is waiting on you, what has gone quiet, and the regression of the pipeline's own predictions against actual outcomes. Writes the calibration findings back into job_search.md and preferences.yaml.
- ▌ Onboard · aaddrickSet up a slushpile workspace. Ingests an existing resume or LinkedIn export, interviews the user to fill the gaps, then writes profile.md, preferences.yaml, and stories.md. Run once per workspace, before any other slushpile skill.
- ▌ Outreach · aaddrickOpen the warm channel for a role the pipeline already assessed. Finds who the user already knows at the company, researches named targets from public professional presence when they know nobody, grades each path honestly, drafts the ask through the voice agent, and writes the contacts into the Referrals table in job_search.md.
- ▌ Job Board Search · aaddrickSearch a named company's careers board, or resolve a natural-language query into a company list and search each. Extract job descriptions, score pool-anchored and channel-conditional fit against the user's profile, run a contrarian gate before tiers are finalized, and create role folders with assessments. Updates the job search tracker.
- ▌ Slushpile · aaddrickAn adversarial job search that gets better as it goes. Set up a job-search workspace, search a careers board and score roles against the realistic applicant pool, build a resume and cover letter, review them with seven agents that return a verdict per submission channel, then write what the review finds back into the profile. Invoke with /slushpile and name what you want to do.
- ▌ Removing AI Tells · aaddrickIdentify and remove phrasing, structure, and word choices that signal AI authorship. Runs iterative passes through fresh voice-agent instances with the orchestrator acting as gatekeeper on every change. Use on a cover letter before submission, or on any prose that has to read as human-written.
- ▌ Adversarial Review · aaddrickRun a seven-agent adversarial pipeline against a resume and cover letter before submission. Produces channel-conditional verdicts anchored to the realistic applicant pool, separates materials quality from submission expected value, and ends with a contrarian pass that can overturn the verdict.
- ▌ Explore Experience · aaddrickInterview the user to surface experience that is real but undocumented, mapped against a specific role's requirements, then update the profile. Use when a fit assessment or an adversarial review flags a section as thin.
- ▌ Redesign Templates · aaddrickRedesign the resume and cover letter templates into your own house style. Changes typography, palette, and layout while holding the ATS constraints fixed, then proves the result still compiles and still extracts. Run any time; not a pipeline stage.
- ▌ Application Builder · aaddrickBuild a targeted resume and cover letter for a role folder that already has a job description and role analysis. Runs iterative adversarial review rounds until the materials stabilize, then hands off for human review before submission.
- ▌ Whisper Setup · aaddrickUse when the user wants to set up whisper for PTT (push-to-talk) voice input. Guides through choosing API vs local mode and configuring whisper.cpp if local.
- ▌ Lint · aaddrickRun shellcheck and actionlint on shell scripts and GitHub Actions workflows. Use before pushing or when fixing lint issues.
- ▌ Triage · aaddrickTrigger the automated issue triage GitHub Actions workflow for the specified issue.
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- ▌ Setup Build Tools · aaddrickInstall build and extraction tools needed for building Claude Desktop Debian packages
- ▌ Writing Skills · aaddrick bundleUse when creating new skills, editing existing skills, or verifying skills work before deployment
- ▌ Test Driven Development · aaddrick bundleUse when implementing any feature or bugfix, before writing implementation code
- ▌ Writing Agents · aaddrick bundleUse when creating new agents, editing existing agents, or defining specialized subagent roles for the Task tool
- ▌ Content Hydration · aaddrickUse when a data export contains URLs or IDs referencing external content that is not stored inline, when comments or replies are orphaned from their parent context, when voted or saved items exist only as permalinks with no content, or when downstream analysis agents need enriched records with conversational context reconstructed from linked references
- ▌ Nmf Topic Modeling · aaddrickUse when discovering latent themes in a text corpus, performing unsupervised topic extraction, comparing NMF vs LDA results, or needing to find hidden connections across documents. Triggers include topic modeling, theme discovery, TF-IDF vectorization, document clustering, coherence scoring, and cross-topic analysis.
- ▌ Archetype Assignment · aaddrickUse when synthesizing outputs from multiple prior analyses (taxonomy, sentiment, engagement, temporal patterns, psycholinguistic profile, personality traits, network position) into a single persona archetype classification, when needing to assign user role labels from multi-dimensional behavioral evidence, or when combining heterogeneous analysis outputs into a composite user profile with confidence scoring
- ▌ Big Five Personality · aaddrickUse when inferring Big Five (OCEAN) personality traits from a text corpus, mapping linguistic markers to personality dimensions, converting trait profiles into writing style constraints for voice replication, or needing to characterize an author's personality tendencies from their writing patterns
- ▌ Network Social Graph · aaddrickUse when mapping a user's interaction network from reply chains or parent-child relationships, identifying frequent interlocutors, measuring reciprocity patterns, detecting audience-dependent voice shifts, or extracting ego networks from conversation data
- ▌ Speech Act Pragmatic · aaddrickUse when categorizing texts by communicative function (asserting, advising, explaining, questioning, challenging, agreeing), determining dominant speech acts and their proportions across a corpus, building a pragmatic signature for voice profiling, or comparing speech act distributions across contexts or time periods
- ▌ CSV Metadata Forensic · aaddrickUse when analyzing structured data exports containing multiple CSV files, reconstructing user activity timelines from metadata headers, calculating account lifespan or content creation baselines, or cross-referencing schemas across export files to identify data gaps and quality issues
- ▌ Liwc Psycholinguistic · aaddrickUse when categorizing vocabulary into psychological dimensions (cognitive processes, social drives, biological needs, emotional states), identifying dominant psycholinguistic registers in a text corpus, performing dictionary-based word categorization for style profiling, or needing to map linguistic dimension distributions to style replication priorities
- ▌ LLM Relevance Scoring · aaddrickUse when assigning quality or relevance scores to individual pieces of content in a text corpus, when distinguishing substantive contributions from low-effort content, when identifying authority peaks where a user served as a primary knowledge source, or when building a scoring pipeline with local or remote LLMs via Ollama or API
- ▌ Automated Orchestration · aaddrickUse when building multi-stage analysis pipelines that need checkpoint/resume, when long-running jobs fail mid-execution and lose progress, when processing large data archives that exceed memory or rate limits, or when analysis depth should adapt to data volume
- ▌ Pipeline Summary Report · aaddrickUse when all pipeline analysis reports are complete and a unified summary is needed, when combining findings from multiple analysis phases into a single executive overview, or when producing a final deliverable that summarizes both the composite picture and individual report findings
- ▌ Supplementary Engagement · aaddrickUse when correlating sentiment scores with engagement metrics, measuring thread depth as an influence signal, auditing content exports for PII exposure, identifying discursive catalysts in comment threads, or needing scatter plots of sentiment vs. engagement with statistical significance testing
- ▌ Vader Sentiment Analysis · aaddrickUse when scoring sentiment in social media text, informal writing, or user-generated content using VADER, tracking affective trajectories over time, performing multi-tiered sentiment analysis across titles and body text, or needing lexicon-based polarity scoring that preserves capitalization and emoticon signals
- ▌ Taxonomic Shift Detection · aaddrickUse when analyzing longitudinal content data for interest migration patterns, detecting when a user or entity shifts from one category subgroup to another over time, identifying change points in categorical distributions, determining which historical era best represents the current voice, or measuring the magnitude and permanence of topic drift across temporal windows
- ▌ Aaddrick Voice Replication · aaddrick bundleUse when generating text, drafting responses, composing messages, or producing any written content that should sound like aaddrick, when the user asks to write in their voice or style, or when the aaddrick-voice agent needs a reference for voice constraints and few-shot examples
- ▌ Longitudinal Growth Curves · aaddrickUse when tracking a user's evolution over time through activity stages, modeling temporal trajectories of engagement or participation, detecting phase transitions in longitudinal behavioral data, classifying digital maturity stages from activity metadata, or comparing growth curve model fits on time-series activity data
- ▌ Stylometric Fingerprinting · aaddrickUse when extracting a stable writing fingerprint from a text corpus based on function word frequencies, sentence structure patterns, and punctuation habits, defining syntactic constraints that make an author's writing identifiable regardless of topic, or building a replicable style profile from distributional features rather than content words
- ▌ Tiered Processing Pipeline · aaddrickUse when processing raw data exports through staged pipelines, cleaning text corpora with CLI tools before deeper Python analysis, building multi-stage ETL for CSV/JSON data, or integrating LLM analysis with traditional NLP pipelines
- ▌ Mdpi Hypernetwork Archetype · aaddrickUse when classifying users or accounts along Score, Sentiment, and Toxicity axes into behavioral archetypes (HHH through LLL), analyzing engagement patterns in online community data, combining visibility/influence with affective and toxicity dimensions, or needing to assign behavioral archetype labels from multi-axis normalized user metrics
- ▌ Temporal Circadian Patterns · aaddrickUse when analyzing timestamped activity data to reconstruct activity profiles, detect hourly or daily or weekly or seasonal patterns, identify circadian regularity, find activity bursts, or classify engagement style from posting times across any time-series of user actions
- ▌ Weighted Engagement Scoring · aaddrickUse when combining multiple engagement signals into a single composite score, ranking content by influence or value, needing to identify high-value discussions from heterogeneous metrics like votes upvote-ratio comments sentiment and recency, or when raw engagement counts are misleading due to scale differences across metrics
- ▌ Style Specification Building · aaddrickUse when translating completed linguistic analysis outputs into a unified style specification document, resolving conflicts between analysis findings, mapping quantitative metrics to actionable writing constraints, or producing an implementable voice profile from personality, stylometric, psycholinguistic, rhetorical, or archetype analysis results
- ▌ Cat Linguistic Style Matching · aaddrickUse when measuring how a user's writing style converges toward or diverges from community norms, computing Linguistic Style Matching scores from function words, comparing accommodation strength across multiple communities, tracking stylistic convergence over time, or identifying which communities a user accommodates most strongly
- ▌ Readability Lexical Diversity · aaddrickUse when computing quantitative text complexity metrics from a corpus, measuring readability scores (Flesch-Kincaid, Coleman-Liau, Gunning Fog, SMOG, ARI), lexical diversity (TTR, MTLD, MATTR, hapax legomena), or translating complexity measurements into LLM prompt constraints such as target grade levels and vocabulary diversity ranges
- ▌ Rhetorical Discourse Structure · aaddrickUse when analyzing how an author constructs arguments beyond the word level, examining argument ordering patterns, rhetorical devices like hedging and concessions, discourse marker usage, paragraph structure distributions, or needing to produce replicable structural constraints from a text corpus for voice replication or argumentation profiling
- ▌ Register Variation Code Switching · aaddrickUse when measuring how much a user's writing voice varies across different contexts or communities, comparing vocabulary, formality, sentence length, and sentiment distributions across sub-corpora, classifying register as stable vs. context-dependent, or producing conditional style rules that capture context-sensitive voice shifts
- ▌ Taxonomic Interest Classification · aaddrickUse when classifying a user's interests from a text corpus, measuring interest diversity or concentration, mapping content to hierarchical categories, determining whether a profile is polymathic or specialist, or computing orthogonality scores across interest domains
- ▌ Subagent Instruction Operationalization · aaddrickUse when translating a completed style specification into an LLM subagent prompt that reproduces a target voice, converting psycholinguistic analysis outputs into concrete prompt directives, operationalizing stylometric fingerprints and archetype classifications as generative instructions, or building a testable persona prompt from upstream analysis results
- ▌ Implement Issue · aaddrickUse when given a GitHub issue number and base branch to implement end-to-end
- ▌ Write Docblocks · aaddrickUse when documentation coverage is low, after composer docs:coverage shows gaps, or when asked to batch-write PHPDoc blocks across multiple files
- ▌ Improvement Loop · aaddrickUse after resolving a bug, failed task, or unexpected agent behavior to improve the pipeline skills, agents, hooks, or scripts that contributed to the problem. Also proactively suggest improvements when recurring patterns or inefficiencies are observed.
- ▌ Using Git Worktrees · aaddrickUse when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees in .worktrees/
- ▌ Bulletproof Frontend · aaddrick bundleBulletproof CSS and frontend design principles from "Handcrafted CSS" by Dan Cederholm. Apply when writing CSS, HTML, Blade templates, or reviewing frontend code. CSS is king — refactor Tailwind when encountered.
- ▌ Systematic Debugging · aaddrick bundleUse when encountering any bug, test failure, or unexpected behavior, before proposing fixes
- ▌ Adapting Claude Pipeline · aaddrickUse when adapting the generic .claude pipeline folder to a specific codebase - adjusting skills, agents, hooks, scripts, prompts, and settings for the target project's tech stack and workflows
- ▌ Subagent Driven Development · aaddrick bundleUse when executing implementation plans with independent tasks in the current session
- ▌ Investigating Codebase For User Stories · aaddrickUse when asked to create user stories from a codebase, document existing features as stories, or reverse-engineer requirements from code
- ▌ Review UI · aaddrick bundleComprehensive UI/CSS review using parallel agents. Each agent reviews against a specific UI design fundamentals section. Use when reviewing frontend code, CSS, Blade templates, or components.
- ▌ Process Pr · aaddrickProcess PR based on code review - if approved, create follow-up issues, merge, close; if changes requested, re-run implement-issue
- ▌ Using Skills · aaddrickUse when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
- ▌ Brainstorming · aaddrickYou MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
- ▌ Writing Plans · aaddrickUse when you have a spec or requirements for a multi-step task, before touching code
- ▌ Executing Plans · aaddrickUse when you have a written implementation plan to execute in a separate session with review checkpoints