m2ai-portfolio

@m2ai-portfolio source repo

184 skills
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10 hours ago last updated

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Action Outcome Postmortem · m2ai-portfolio bundle
Structured post-mortem for the failure mode where an agent executed the correct mechanical action but produced the wrong outcome — the action succeeded, the goal failed. Walks through what semantic context was missing, where to add it, and how to prevent recurrence. Use when an agent did exactly what it was told but the result was wrong, or the user says "/action-outcome-postmortem", "right action wrong result", "agent succeeded but outcome was bad", "mechanical success semantic failure".

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Hallucination Audit Trail · m2ai-portfolio bundle
Cross-checks an agent's self-reported processing log against filesystem evidence (file modification timestamps, existence, size) to detect hallucinated audit trails before they propagate downstream.

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Agent Readiness Audit · m2ai-portfolio bundle
Audit a codebase for agent-readiness across 8 pillars (style/validation, build systems, testing, docs, dev environment, code quality, observability, security governance). Generates a scored report with a prioritized fix list measured in estimated days. Use when the user says "audit readiness", "agent readiness", "codebase audit", "is this repo ready for agents", "readiness score", or wants to assess how well a project supports autonomous AI coding agents.

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Claude Design To Code · m2ai-portfolio bundle
Rapidly prototype UI wireframes and high-fidelity designs with Claude Design, then export to Claude Code with a single terminal command that preserves full design fidelity. Covers self-verification loops, mode switching (cinematic/editorial/responsive), Figma import, and bias-breaking prompting patterns. Use when saying "design to code", "wireframe to code", "prototype in Claude Design", "export Claude Design", or "Claude Design handoff".

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Self Healing Pipeline · m2ai-portfolio
Self-healing build pipeline with Planner/Builder/Judge loop. Planner writes test contracts, Builder implements and runs tests, Judge evaluates and auto-retries up to 3 times before escalating to the user. File-based state tracking survives session interrupts. Use when the user says "self-healing pipeline", "healing build", "auto-fix pipeline", "build with retries", or wants a resilient implementation workflow that self-corrects on test failures.

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Workbook Doctor · m2ai-portfolio bundle
Audits an existing or AI-generated Excel workbook for hidden risks before it is used in decisions. Runs four passes — structure map, formula risk scan, repair plan, verification memo — and produces a pass/fail checklist on formula consistency, source traceability, assumption clarity, and data freshness. Use before relying on any AI-generated spreadsheet for financial decisions, reporting, or client deliverables.

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Make Anticipatory · m2ai-portfolio bundle
Refactor any reactive slash-command skill or repeating manual workflow into an anticipatory one that fires automatically when the right condition is met. Produces a settings.json hook (PreToolUse, PostToolUse, Stop, or SessionStart) or cron trigger alongside any changes to the skill itself. Use when saying "make this anticipatory", "convert this to a hook", "make it fire automatically", "this skill never fires because I forget it", "add a trigger to this skill", or wanting to turn a reactive tool into a proactive one.

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Claude Architect Audit · m2ai-portfolio bundle
Audit your Claude Code setup against Anthropic's 5 Certified Architect domains. Checks CLAUDE.md layering, enforcement strategy (prompts vs hooks), tool descriptions, context management, and agent architecture. Use when you want to level up your Claude Code configuration, prepare for the architect certification, or diagnose why Claude isn't performing well in your project.

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Pretty But Wrong · m2ai-portfolio bundle
Final hostile-reviewer pass on any AI-generated document, deck, or workbook before sharing. Scans for unsourced claims, undated numbers, untraceable charts, inconsistent formulas, and logic gaps. Outputs a ranked must-fix/should-fix/polish issue list — never rewrites. Use before sharing any AI-generated deliverable with a decision-maker.

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Brand Memory Probe · m2ai-portfolio bundle
Probe how a brand appears in AI agent recall across multiple LLM providers. Simulates generic buyer intent queries (e.g. "best CRM for a 5-person team") against Claude, ChatGPT, Gemini, and Perplexity and produces a "memory share" report showing whether the brand surfaces, in what position, and with what caveats. Use when asked "does my brand appear in AI search", "brand memory probe", "AI recall audit", "how does ChatGPT describe us", or "agent share of voice".

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Executive Briefing · m2ai-portfolio
Takes a complex geopolitical, industry, or market event and produces a structured executive briefing with thesis, transmission channels, quantified exposure, counterarguments addressed, and recommended actions.

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Stress Test Finder · m2ai-portfolio bundle
Interview the user about their current workload, surface the task they've been avoiding because it felt too messy or fragile to delegate, and produce a complete AI delegation prompt for that task. Use when deciding what to hand off next or when stuck in indecision about AI delegation.

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Weekly Signal Diff · m2ai-portfolio
Tracks N companies across M categories, re-ranks using user context (projects, interests, priorities), and produces a personalized "structural diff" of what changed and why it matters to YOU specifically. Saves analysis back so signal compounds over time.

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Context Fork Guide · m2ai-portfolio
Use when creating or modifying skills that do heavy research, search, or multi-tool work. Adds context:fork to isolate skill execution in a separate context window, keeping the main session clean. Trigger on "keep context clean", "skill is bloating my context", "run this in a separate window", or when building any research/search skill.

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Agent Cold Start Diagnostic · m2ai-portfolio
Evaluate an existing agent setup (CLAUDE.md, SOUL.md, memory files, cron config, agent.yaml) and score it on operational completeness -- flagging missing decision frameworks, vague delegation instructions, absent escalation rules, and gaps in rhythm/schedule coverage. Use when the user says "cold start diagnostic", "check agent config", "agent health score", "is my agent configured properly", "audit agent setup", or before deploying a new agent persona.

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Agent Environment Optimizer · m2ai-portfolio
Audit an agent's execution environment for cold-start patterns, missing warm caches, stale dependencies, and session persistence gaps. Scores against best practices from OpenAI Hosted Shell and METR research showing unoptimized environments negate AI productivity gains. Use when the user says "optimize agent environment", "cold start audit", "agent environment check", "why is my agent slow to start", "warm cache audit", "session persistence check", or wants to speed up agent execution by fixing the environment layer.

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Agent Commerce MCP Spec · m2ai-portfolio bundle
Take a business's existing storefront, catalog, or checkout flow and emit a complete MCP server spec that makes it agent-callable end-to-end — tool list, JSON schemas, auth model, payment rails, and idempotency guarantees. Optionally scaffolds a Python mcp-sdk server skeleton. Use when asked "make this storefront agent-callable", "generate MCP spec for my shop", "agent commerce spec", "MCP server for checkout", or "how do I expose my catalog to agents".

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Agent Commerce Scaffold · m2ai-portfolio bundle
Scaffold a new agentic-commerce product with all 8 commercial-responsibility domains pre-stubbed -- Identity, Authorization, Fraud, Payment credentials, Settlement, Refunds, Liability, CRM. Each domain gets a README, an interface contract, and a TODO:assign-owner marker so no layer silently goes un-owned. Use when the user says "scaffold an agent product", "agent commerce scaffold", "init agentic product", "commerce agent init", "agent commerce structure", "6-layer scaffold", "8-layer scaffold", or is starting a new agent that will touch money, wallets, or payment authorizations.

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Context Layer Generator · m2ai-portfolio
Generate three structured context artifacts for any module or service -- a structural manifest (what it does, dependencies, dependents), behavioral contracts (idempotency, retry semantics, failure modes, performance expectations), and a decision log pre-filled from git history explaining why architectural choices were made. Use when the user says "generate context layer", "context layer", "module context", "behavioral contracts", "decision log", "document this module", "why was this built this way", or wants structured understanding artifacts for a codebase component.

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Image To Implementation · m2ai-portfolio bundle
Generate a visual reference image for a UI or design concept, then produce a structured implementation prompt that hands the image to a code-capable model. Closes the "AI invents bad taste" failure mode by anchoring implementation to a concrete visual rather than a text description alone.

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Renewal Interrogation · m2ai-portfolio bundle
Generate a vendor-specific SaaS renewal playbook for contracts where agent workloads are in scope. Input vendor name, current contract terms summary, planned agent usage, and negotiation priorities; output a sequenced interrogation playbook — opening anchors, mid-conversation probes, closing protection clauses, and the one question each vendor will try to dodge. Use when the user says "renewal-interrogation", "renewal playbook", "SaaS renewal prep", "contract negotiation for agents", "help me prep for [vendor] renewal", or before any enterprise SaaS renewal where AI/agent usage has increased since the last contract.

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Kill Switch Audit · m2ai-portfolio bundle
Verify that a named agent in production has a real, one-step kill path at each of 5 layers (runtime cancel, credential revocation, gateway block, payment freeze, workflow interrupt). Use before shipping a new autonomous agent, during a security review, or any time you need to answer "can we actually stop this agent right now?"

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Reasoning Extractor · m2ai-portfolio bundle
Apply a four-question reasoning framework (situation → decision → risk → change) to any piece of work — from an individual task to a strategic bet — turning silent judgment into a documented reasoning trail. Use when the user says "extract my reasoning", "reasoning trail", "document my thinking", "why I made this call", "annotate this decision", "add context to this artifact", or wants to make implicit judgment explicit for a record, review, handoff, or promotion packet.

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Workflow Decomposer · m2ai-portfolio bundle
Turn a function, role, or process description into a list of discrete, scoreable workflows — the pre-step before any AI investment-motion decision. Trigger on "decompose this role", "break this function into workflows", "workflow decomposer", or before scoring any AI automation opportunity.

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Workflow Fit Scorer · m2ai-portfolio bundle
Score a candidate workflow against 5 automation-fit properties and return a build / switch-tools / resolve-ambiguity verdict. Front-door diagnostic for any M2AI automation advisory engagement.

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Seedance Shot Prompt · m2ai-portfolio
Use when generating a Seedance 2 video prompt for a linear forward-motion shot — transitions, chase shots, establishing shots, A→B narrative clips. Trigger when the user asks for a "shot prompt", "transition shot", "video shot", "cinematic shot", "forward motion video", "A to B shot", "linear video generation", "narrative video clip", or describes a shot with a starting state and a different ending state. NOT for loops or backgrounds — for those use seedance-loop-prompt instead. Includes a 3-stage smoke-test protocol for identity-bound shots and a named taxonomy of 8 known failure modes (api_xor_constraint, identity_drift, motion_reversal, boomerang_interpolation, no_motion_reference_only, hallucination, text_garbling, input_stacking_ineffective) drawn from a 2026-04 production AAR.

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What Am I Forgetting · m2ai-portfolio
Comprehensive agenda recall across all of your active projects, phases, gates, queued work, ideas, and cleanups. Casts a wide net across roadmaps, memory files, project TODOs, daily notes, cron manifests, and project folders to produce a consolidated dashboard. Use whenever you ask "what's next", "what's on the agenda", "what am I working on", "what am I forgetting", "what's open", "what's in progress", "give me a recap", or invoke `/what-am-i-forgetting`. Gives a concrete list to disambiguate generic questions about priorities instead of guessing which project is meant.

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Agents Md Generator · m2ai-portfolio bundle
Generate or lint an AGENTS.md file from repository analysis. Discovers build commands, test commands, environment variables, architecture patterns, and coding conventions, then produces a comprehensive AGENTS.md that tells AI coding agents how to work in the repo. Use when the user says "generate agents.md", "create agents.md", "lint agents.md", "agents file", "agent instructions", or wants to create standardized agent onboarding docs for a repository.

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Heartbeat Generator · m2ai-portfolio
Takes a user's described operating rhythms (from structured elicitation, manual input, or existing CLAUDE.md) and generates a HEARTBEAT.md checklist plus cron schedule entries that map to their actual daily/weekly/monthly patterns. Use when the user says "generate heartbeat", "build my schedule", "create cron from rhythms", "heartbeat.md", "schedule my agent", or when setting up recurring tasks for a the agent platform agent.

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Failure Mode Tool Router · m2ai-portfolio bundle
Given any task description, classify it into the right AI tool category and explain why common alternatives are wrong for it. Prevents wasting time building agents for tasks that should use a different tool entirely.

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Validated Data Migration · m2ai-portfolio bundle
Migrate a shoebox of inconsistent files (CSV, Excel, JSON, PDFs, VCF) into a clean SQLite database with rejection logic, enum normalization, duplicate merges, source provenance, row-count checks, conflict tables, and a human review queue. Use when onboarding a client with legacy data or cleaning up a data dump before importing into a new system.

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AI Cost Exposure Audit · m2ai-portfolio bundle
Walk through a three-prompt sequential audit of your organization's AI inference cost-structure exposure -- inventory dependencies, stress-test sensitivity to subsidized-pricing collapse, and assess workload portability. Use when you want to map your exposure to the AI inference cost curve before it breaks your budget.

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Agent Blast Radius · m2ai-portfolio
Inventory everything an autonomous agent has actually touched over a time window — files modified, commits authored, APIs called, processes spawned, scheduled tasks created — and produce a blast-radius report. Use when the user says "blast radius", "what has my agent done", "agent footprint", "audit agent actions", or wants visibility into the expanding surface of a long-running autonomous agent.

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Viral Shorts Pipeline · m2ai-portfolio bundle
Generate and publish viral TikTok/YouTube Shorts from a single theme prompt. Produces 10 AI-generated videos (Kling AI), auto-trims dead intros (Gemini frame scan), burns captions, and posts to TikTok + YouTube via Blotato MCP. Use when asked to "make viral videos", "generate TikToks", "create shorts", "run the viral pipeline", or "generate and post videos".

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Build Spec Generator · m2ai-portfolio bundle
Takes a workflow that scored BUILD from workflow-fit-scorer and emits a deployment-ready build spec — trigger, I/O contract, tool connectors, success criteria, escalation conditions, and quality-check rubric. Output is platform-agnostic with per-platform variant notes.

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Decomposition Scorer · m2ai-portfolio bundle
Score whether a set of coding tasks are properly decomposed on boundaries of isolation. Detects conflicts where parallel agents would touch the same files, share state, or have ordering dependencies. Use before launching parallel agent workers, when planning task breakdown for yce-harness or similar, or when someone says "will these tasks conflict?", "score my decomposition", or "/decomposition-scorer".

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Cross Model Peer Review · m2ai-portfolio bundle
Implements a cross-model peer review loop where Model A grades Model B's output on a structured rubric, catching errors that neither model's self-assessment reliably detects.

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MCP Portability Auditor · m2ai-portfolio
Scan an agent stack (Claude Code plugins, Conway .cnw.zip files, Gemini extensions, ChatGPT GPTs) and flag which capabilities are locked to one platform vs portable via open MCP. Outputs a portability score per tool and a migration checklist. Use when the user asks to audit their agent extensions, score MCP portability, check for vendor-proprietary extension formats, or plan a move to open standards.

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Model Release Deep Dive · m2ai-portfolio bundle
Produce a structured capability-delta brief for any AI model release -- what actually changed beyond benchmark scores, what breaks, what improves, and what it means for current workflows. Triggered by a new model release or when benchmarks alone don't explain real-world behavior changes.

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Action Class Policy · m2ai-portfolio bundle
Interview the user about their agent usage patterns and risk tolerance, then generate a tiered action-class policy document. Each tier gets classification criteria, required approvals, rollback procedures, and monitoring expectations. Use when someone says "/action-class-policy", "define action classes", "agent permissions policy", "what actions can my agent take unsupervised", or wants a governance framework for agent autonomy.

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Agent Authority Map · m2ai-portfolio
Audit and visualize what an agent is actually allowed to do — parses Claude Code settings, hooks, MCP server configs, and tool permissions to surface authority gaps where the agent takes actions no human explicitly approved. Use when the user says "agent authority map", "what can my agent do", "permission audit", "authority gaps", or wants to inventory autonomous actions before a deployment review.

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Describability Gate · m2ai-portfolio bundle
Eight-field readiness gate that blocks any automation project until inputs, outputs, decision rules, exceptions, owner, success metric, failure mode, and rollback are explicitly defined. Use before kicking off any automation build, as a pre-dispatch check, or when reviewing automation specs. Trigger on "describability gate", "automation readiness", "is this ready to automate", "can I build this now".

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Structured Elicitation · m2ai-portfolio
A conversational skill that interviews the user across five layers of operational knowledge -- operating rhythms, recurring decisions, dependencies, institutional knowledge, and friction -- with checkpoint approvals between each layer. Generates agent config artifacts (SOUL.md, USER.md, HEARTBEAT.md, operating-model.json, schedule-recommendations.json). Use when the user says "elicitation", "interview me", "extract my workflows", "bootstrap agent persona", "build my SOUL.md", "help me document what I do", or when onboarding a new agent that needs to understand a human's work patterns.

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Agent Sdk Layer Stack · m2ai-portfolio bundle
Build a personal multi-agent AI command center using Claude Code as the immutable foundation with independently swappable specialized layers — Agent SDK bridge, voice interface (Gemini Live + Pipecat), cross-agent hive mind, self-managing memory with decay/promotion, and a mission control dashboard. Use when designing a personal AI stack, replacing an agent framework, building a multi-agent system, or asking "how do I build my own agent platform".

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Tool Build Guide Generator · m2ai-portfolio bundle
Generate a hands-on, machine-ready build guide for any tool or library — takes a tool name and produces a runnable, annotated project that closes the gap between "I've heard of it" and "I can build with it". Not a hello-world demo; a real build that develops genuine fluency. Trigger: "build guide for [tool]", "help me actually learn [library]", "I know what [tool] does but can't build with it", "heard-of to can-build-with for [tool]".

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Pre Turn Budget Guardian · m2ai-portfolio
Enforce a token budget ceiling on Claude Code sessions by checking projected usage BEFORE each turn and halting with a structured stop reason if the budget would be exceeded. Prevents runaway loops and silent token burn. Completes the token management trilogy alongside boot-tax-monitor (measures startup) and token-burn-auditor (measures waste).

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Destructive Op Guard · m2ai-portfolio bundle
Design or audit a PreToolUse hook that intercepts high-blast-radius shell operations (DROP TABLE, rm -rf, git push --force to main, kubectl delete, docker system prune, etc.) and requires explicit authorization before they execute. Use when adding a safety hook to a Claude Code project, reviewing an existing hook's coverage, or after an incident where an autonomous agent ran an irreversible operation unchecked.

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Knowledge Work Tests · m2ai-portfolio
Generate evaluation criteria, acceptance checks, and scoring rubrics for knowledge work outputs -- the missing "test suite" for non-code deliverables. Given a task spec (brief, memo, analysis, report, strategy doc), produce a rubric an agent can self-evaluate against before delivering. Use when defining quality gates for agent outputs, building acceptance criteria for delegated work, or reviewing knowledge work deliverables.

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Vendor Pressure Test · m2ai-portfolio bundle
Run a vendor pitch, RFP response, or internal proposal through the 7-row agent control-layer lens to identify which rows are answered, dodged, or hidden behind buzzwords, and what each dodge costs in production. Use when evaluating a vendor for an agent deployment, responding to an RFP, or stress-testing your own internal proposal before presenting it.

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Agent System Touch Map · m2ai-portfolio bundle
Map every workflow to the SaaS systems it touches, the operations performed on each system, and the vendor billing meter each operation triggers. Input a workflow description and list of integrated SaaS vendors; output a system-by-system table with operation classifications, meter hits, identity model, and flagged cost-risk rows. Use when the user says "agent-system-touch-map", "map agent costs", "SaaS meter map", "what will this agent cost to run", "agent licensing exposure", or before a SaaS contract renewal where agent workloads are involved.

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Anticipation Gap Audit · m2ai-portfolio bundle
Scores any agent definition or skill manifest against the four consumer-AI breakthrough problems (context, reliability, permission, judgment) plus a reactive-vs-anticipatory axis. Outputs a heatmap and ranked vulnerability list.

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Dispatch Handoff Brief · m2ai-portfolio
Generate structured delegation briefs for Anthropic Dispatch or any autonomous agent handoff with objective, success criteria, tools needed, verification, and escalation conditions

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Fair Agent License Rubric · m2ai-portfolio bundle
Score an agent license or SaaS contract term sheet against a 9-trait rubric distinguishing fair agent licensing (transparent, capped, portable, identity-aware) from rent-seeking (opaque, uncapped, lock-in, double-billing). Outputs a numeric score, flagged red clauses, and a verdict.

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Model Migration Preflight · m2ai-portfolio bundle
Audit your prompts, system instructions, and Claude Code configuration before switching model versions. Flags deprecated API parameters, prompts that depend on implicit model inference, scaffolding code the new model handles natively, and estimates the tokenizer cost delta. Use before any model version upgrade that affects production workflows.

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Strategic Timing Matrix · m2ai-portfolio
Map your biggest pending decisions (hiring, fundraising, product launches, home purchase, job change) against macro events and market windows to recommend which decisions to accelerate, delay, or hedge. Use when the user says "timing matrix", "when should I", "decision timing", "should I wait", "accelerate or delay", "macro timing", "strategic window", or has multiple pending decisions and wants to sequence them against external forces.

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Thesis Cluster Detector · m2ai-portfolio bundle
Ingests a batch of enterprise AI or technology news items (from RSS, Substack previews, or pasted headlines) and clusters them by underlying investment thesis using embedding similarity or keyword co-occurrence, then emits a "what is the underlying bet" briefing when a cluster reaches a configurable threshold. Use when the user says "thesis cluster", "what's the underlying bet here", "cluster these stories", "detect the pattern", "what do these announcements have in common", or pastes multiple news items and wants to know if they are separate events or a single coordinated bet.

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Bitter Lesson Scorecard · m2ai-portfolio
Score an agent system design against the Bitter Lesson principle — how much "how" is encoded vs "what", how much bets on model improvement vs locks in current limitations. Flags procedural lock-in, hardcoded orchestration, and domain hacks. Produces a simplification roadmap. Use when designing new agent systems, reviewing agent architecture, or deciding what to simplify. Trigger on "bitter lesson", "score architecture", "agent complexity audit", "simplification roadmap", "how vs what ratio", "are we fighting the model".

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Claude Memory Architect · m2ai-portfolio bundle
Interview-driven skill that designs a custom Claude Code memory system tailored to how the user actually works. Clones open-source memory repos, audits their patterns, then builds a personal memory spec using building blocks — decay, promotion, multi-signal retrieval, salience, disclosure, compaction — deployed via CLAUDE.md entries, hooks, or agent-scoped files. Trigger phrases: "build my memory system", "design my CLAUDE.md memory", "memory architect", "personal memory spec", "I keep repeating context to Claude".

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Memory System Assembler · m2ai-portfolio bundle
Build a personalized Claude Code memory system by auditing open-source memory repos, cherry-picking patterns that match your workflow, and assembling them into a coherent design. Use when setting up memory for the first time, redesigning an existing memory system, or evaluating new memory patterns from the OSS ecosystem.

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Scheduled Agent Harness · m2ai-portfolio bundle
Define and document a complete scheduled-agent contract for any recurring automated task. Produces a standardized harness spec covering trigger config, memory folder, input contract, output destination, and failure alerts — ready to wire into Claude Code or any agent runner.

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Comprehension Interview Loop · m2ai-portfolio
Conduct a Socratic pushback interview about something the user has built. Detects hand-waving, vague claims, and gaps in understanding, then assembles the result into a clean explanation artifact. Use when the user says "interview me", "comprehension interview", "Socratic review", "pushback interview", "do I actually understand this", "quiz me on my project", "challenge my understanding", or wants rigorous verification of their own comprehension before shipping or presenting work.

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Platform Dependency Mapper · m2ai-portfolio
Audit an org's or individual's AI stack and produce an exit-cost estimate across four axes — data, integrations, behavioral context, and billing. Outputs a ranked dependency map and a "what you'd lose if you left tomorrow" report. Use when the user asks to audit AI lock-in, map vendor dependencies, estimate switching costs, or assess platform risk on their AI stack.

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Data Fabric Fit Assessor · m2ai-portfolio bundle
Given a client's or team's existing data infrastructure (Microsoft 365, Google Workspace, Salesforce, custom RAG, etc.), recommend which AI agent products will benefit from native data-graph access vs. which will require costly migration. Maps four major data fabrics to agent products optimized for each.

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Middleware Trap Detector · m2ai-portfolio
Diagnose whether an agent deployment is falling into the "middleware trap" — wrapping legacy systems without redesign, mirroring manual bottlenecks at machine speed, or pass-through pipelines with no validation. Use when the user says "middleware trap", "deployment health", "is this deployment safe", "wrapping legacy", "automated bottleneck", or wants a pre-deployment risk scan of an existing agent integration.

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Workflow Tier Classifier · m2ai-portfolio bundle
Paste a product description or pitch and get back a five-tier verdict (Decoration → Full Stack) with the missing implementation layers called out. Lightweight lead-magnet classifier and self-assessment tool. Use on "workflow-tier-classifier", "am I decorating a model", "classify my AI product", "what tier is my deployment".

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Agent Architecture Audit · m2ai-portfolio
Evaluate an agent codebase against 12 infrastructure primitives (permission model, token budget, crash recovery, tool assembly, streaming events, state machine, provenance, stop reasons, boot sequence, verification harness, memory decay, health checks) and return a severity-ranked gap analysis with prioritized upgrade path. Use when auditing agent architecture, reviewing agent readiness, or planning what infrastructure to build next.

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Hive Mind Shared Context · m2ai-portfolio bundle
Design a shared context store for a multi-agent team -- write policies, decay rules, pinning, and consolidation schedules -- so specialized agents can delegate to each other without losing state. Use when building a multi-agent system where agents need to share memory, designing memory decay and consolidation for an agent team, or wiring a routing layer over a group of specialized agents.

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Sensemaking Concentrator · m2ai-portfolio
Audit a multi-agent system for distributed sensemaking anti-patterns and recommend where to concentrate interpretation into a single agent, reducing conflicting signals and improving decision quality.

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API Breaking Change Scanner · m2ai-portfolio bundle
Scans a codebase for deprecated API parameters and patterns that break silently or return 400 errors when migrating to a new model version, reporting exact file/line locations and migration actions.

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Provider Availability Scout · m2ai-portfolio bundle
Scheduled task that probes model provider availability, pricing changes, restriction announcements, and API deprecations across configured providers (Anthropic, OpenAI, Google, OpenRouter, etc.). Diffs against last run and optionally updates a routing defaults file so your model routing layer stays current without manual tracking.

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Amdahl Ceiling Calculator · m2ai-portfolio
Map a workflow's time allocation between AI-accelerable and non-accelerable steps, calculate the theoretical maximum speedup via Amdahl's Law, and identify which tool-layer bottleneck to fix first. Use when the user says "amdahl ceiling", "workflow bottleneck", "max speedup", "where's my ceiling", "why isn't AI faster", "calculate speedup", or wants to understand why their AI-augmented workflow isn't as fast as expected.

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News Narrative Decomposer · m2ai-portfolio
Takes a month of AI/tech news and extracts the structural shifts underneath the headlines -- classifying each story by altitude (physics, monetization, geography, business models, geopolitics), finding the through-line, and outputting the 3-5 things that actually changed. Fights "absorbed a lot of takes but couldn't name what changed."

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Explanation Artifact Generator · m2ai-portfolio
Walk through a 4-question comprehension template for any project artifact (repo, feature, tool) and produce a structured explanation artifact that lives alongside the code. Questions cover what it is, why this approach, what would break, and what you learned. Use when the user says "explanation artifact", "explain this project", "comprehension template", "4-question template", "what did I learn", "document my understanding", or wants to create a proof-of-understanding for something they built.

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Compute Availability Tracker · m2ai-portfolio bundle
Poll the status pages of major AI providers (Anthropic, OpenAI, Google, OpenRouter) and produce a current availability table with routing recommendations. Use when a model call is failing, before routing important work, or on a schedule to detect degradation early.

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Promotion Packet Auditor · m2ai-portfolio bundle
Adversarial reviewer that scores a promotion packet or performance self-review for real judgment signal versus AI-generated polish. Surfaces unproven claims, impact assertions without decision context, and output descriptions that lack the reasoning a skeptical reviewer would demand. Use when the user says "audit my promo packet", "signal check", "promotion review", "does this show real impact", "what will a reviewer challenge", "stress test my self-review", or wants adversarial pressure-testing before submitting.

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Spec Driven Dev Enforcer · m2ai-portfolio
Enforce a spec-first development workflow that gates code generation behind explicit specification approval. Before any code is written, forces creation of (1) a requirements doc, (2) a design doc, (3) a task decomposition. Each phase produces a reviewable artifact. Code generation only begins after specs are approved. Use when the user says "spec first", "spec driven", "write the spec before coding", "requirements first", "design doc first", "no code until spec", "enforce specs", or wants to prevent AI from jumping straight to implementation.

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Decision Interview Builder · m2ai-portfolio bundle
Conduct a structured multi-turn interview through one real past decision the user made — walking situation, decision, risk, and change — and produce a sanitized, shareable judgment artifact that documents the reasoning without leaking confidential details. Use when the user says "interview me about a decision", "build my judgment artifact", "extract my reasoning", "decision interview", "show my thinking", or wants to generate career evidence from a real work decision.

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Workflow Investment Scorer · m2ai-portfolio bundle
Score each workflow on six dimensions (frequency, mistake cost, judgment, model-improvement trajectory, market maturity, company specificity) and emit a capital-allocation recommendation — automate / build / buy / hire / wait. Trigger on "score this workflow", "investment motion", "should I automate or buy", "build buy hire wait".

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Transaction History Builder · m2ai-portfolio
Aggregate completed projects, commits, PRs, shipped features, and explanation artifacts into a running transaction history -- a living portfolio that shows trajectory, not just a static resume. Auto-pulls from GitHub repos, local project directories, and project manifests. Use when the user says "transaction history", "build my portfolio", "aggregate my work", "show my trajectory", "living resume", "proof of work", "what have I shipped", or wants a consolidated view of everything they've built over time.

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Cross Runtime Skill Converter · m2ai-portfolio bundle
Convert a Claude Code skill to Codex format or vice versa. Trigger on: "convert my skill to Codex", "port this skill to Claude Code", "make this skill work in both runtimes", "cross-runtime skill", "skill doesn't work in [provider]", "convert [skill-name] to Codex", "bring this Codex skill into Claude Code", "polyskill". Handles structural differences in tool declarations, description truncation, sidecar YAML generation, and dynamic injection syntax translation.

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Management Function Audit · m2ai-portfolio
Takes an org change description and classifies which management functions (routing, sensemaking, accountability) were removed, retained, or weakened. Predicts failure modes and recommends mitigations based on historical precedents.

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Counterargument Stress Test · m2ai-portfolio
Takes any strategic argument, business case, or thesis and systematically generates and addresses the N strongest counterarguments, forcing rigorous thinking before publishing or deciding.

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Compound Skill Orchestrator · m2ai-portfolio
Build orchestrator skills that chain multiple existing skills in sequence using context:fork, passing output between stages for a unified result. Use when the user says "chain skills", "combine skills", "orchestrator skill", "compound skill", "run skills in sequence", "skill pipeline", or wants to create a single command that runs multiple skills end-to-end.

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Geopolitical Signal Enricher · m2ai-portfolio
Enriches a market or technology signal with geopolitical context -- affected regions, supply chain nodes, timeline estimates, and second-order effects on tech infrastructure.

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Claude Code Memory Architect · m2ai-portfolio bundle
Interviews the user to design and build a personalized Claude Code memory system — choosing which building blocks (decay, promotion, multi-signal retrieval, salience, compaction) to include, then wiring the result into CLAUDE.md, hooks, or agent-scoped memory. Use when a user wants to build, redesign, or consolidate their Claude Code memory layer. Trigger phrases: "build my memory system", "design memory for Claude Code", "memory architect", "7 levels of memory", "personalize my CLAUDE.md memory", "memory fingerprint".

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Memory Fingerprint Architect · m2ai-portfolio bundle
Design a personalized Claude Code memory system by cloning existing open-source memory frameworks, auditing them with Claude Code, and cherry-picking the patterns that fit your workflow. Produces a lightweight memory spec with salience rules, decay/promotion schedules, and multi-signal retrieval, then wires the system via CLAUDE.md, hooks, or agent-scoped memory. Use when saying "design my memory system", "build my memory", "personalize my CLAUDE.md memory", "memory architect", or "memory fingerprint".

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Adversarial Dual Model Workflow · m2ai-portfolio
Set up and run a two-AI coding workflow where a primary assistant handles planning and code generation while an adversarial auditor stress-tests the plan, catches edge cases, and reviews output before shipping. Use when the user wants complementary AI tool pairing, a structured code review gate, an adversarial planning loop, or a background audit running in parallel with active development.

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Compensating Complexity Auditor · m2ai-portfolio
Audit system prompts and agent pipelines for compensating complexity — scaffolding, procedural hacks, and duct tape built around previous model limitations that should be tested for deletion before a model upgrade. Use when upgrading models, reviewing system prompts, or preparing for model migration. Trigger on "audit prompt", "compensating complexity", "model upgrade prep", "prompt scaffolding", "what can I delete".

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Context Cost Line Item Analyzer · m2ai-portfolio bundle
Decompose an agent's token spend into context-as-input vs output-as-output, identify the specific context drivers (startup overhead, system prompt bloat, MCP tool registration, plugin chain, CLAUDE.md chain), and produce targeted reduction recommendations. Use when the user says "context cost breakdown", "why is context eating my budget", "context line items", "decompose my token spend", "what's consuming my context window", or asks why context -- not output -- is the expensive line item in their agent economics.

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Inference Vendor Lock In Scorer · m2ai-portfolio bundle
Scan agent and skill manifests for AI vendor lock-in exposure -- hardcoded model names, non-portable API surfaces, absent fallback chains, opaque key management. Outputs a per-artifact lock-in score and a prioritized remediation queue. Use before a vendor migration or portability planning sprint.

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Artifact Contract Validator · m2ai-portfolio bundle
Validate a directory of claimed deliverables for file-type authenticity, formula presence in spreadsheets, embedded media in presentations, and PDF metadata sanity. Catches AI-generated fakes (HTML renamed as .pptx, empty spreadsheet cells passed off as data). Use before shipping any AI-generated deliverable set to a client or reviewer.

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Institutional Taste Encoder · m2ai-portfolio
Formalize implicit quality judgments, style preferences, and "taste" into structured constraint specifications that agents can follow. Turns the unwritten rules in someone's head into grep-able, enforceable constraints. Use when the user says "encode my taste", "formalize quality rules", "taste encoder", "write my style constraints", "capture my preferences", "turn my judgment into rules", or wants to create a taste profile, style guide, or quality spec that agents can reference.

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Multi Artifact Work Package · m2ai-portfolio bundle
Turn a messy business situation into a full deliverable set with an explicit artifact contract — Word, PowerPoint, Excel, PDFs, press releases, FAQs — and verify each file is real (not HTML with a wrong extension). Use when a client engagement, proposal, or agent task requires multiple coordinated output formats.

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Automation Platform Decision Guide · m2ai-portfolio bundle
Decision-support skill for choosing between agent automation platforms. Given a use case and org context, recommends between scheduling platforms (n8n, Make, Workspace Agents), custom agent frameworks (Claude Code, SDK), and personal AI assistants — and explains the governance, cost, and lock-in tradeoffs of each.

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Agent Memory Architecture Matrix · m2ai-portfolio
Interactive decision matrix that walks a builder through choosing between provider-hosted memory (fast, locked) and self-owned memory (portable, more maintenance), weighted to their actual constraints. Outputs an architectural decision record with rationale. Use when the user is designing an agent's memory layer, comparing memory backends, deciding between Claude memory, Mem0, Zep, SQLite, or custom, or writing a memory architecture ADR.

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Dynamic Workflow Orchestration · m2ai-portfolio bundle
Invoke Claude Code's dynamic workflow orchestration to coordinate teams of 10–50+ agents for large-scale, comprehensive tasks requiring parallel analysis and cross-validation. Trigger phrases: "build a workflow", "dynamic workflow", "/workflows", "spin up agents for", "comprehensive audit across", "workflow that reads every".

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Inference Layer Ownership Auditor · m2ai-portfolio bundle
Map your AI stack to identify who controls each inference layer -- model provider, hosting, hardware -- and score substitutability at each layer. Flags layers where you have no alternative if the current vendor's economics break. Use before a strategic AI vendor decision or during portability planning.

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Info Judgment Boundary Auditor · m2ai-portfolio
Audit an agent system, workflow, or AI implementation to map where information retrieval ends and judgment calls begin. Flags implicit judgment that looks like retrieval, preventing the silent degradation of decision quality. Use when reviewing agent designs, deploying AI into decision workflows, or diagnosing "it was working fine then decisions got worse" failures.

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World Model Principles Scorecard · m2ai-portfolio
Score an agent system or knowledge base against five principles that determine whether a world model compounds value or silently rots — signal fidelity, earned structure, outcome encoding, organizational resistance, and accumulated reality. Complementary to bitter-lesson-scorecard (architecture simplicity) — this measures knowledge/decision quality.

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World Model Readiness Diagnostic · m2ai-portfolio bundle
Interactive diagnostic that maps an organization to a world model paradigm (vector DB, structured ontology, or signal-driven) and recommends a starting sequence for implementation. Use when assessing organizational AI readiness, choosing a knowledge architecture, or starting a consulting engagement.

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184 published skills · page 1 of 2