m2ai-agent-architecture

Plugin m2ai-agent-architecture from marketplace m2ai-skills-pack in m2ai-portfolio/m2ai-skills-pack. Commands read from the repo's manifest — 2 days ago.

Skills (27)

• agent-architecture-audit

  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

• agent-sdk-layer-stack

  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.

• agents-md-generator

  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 ag

• anticipation-gap-audit

  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.

• bitter-lesson-scorecard

  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 a

• build-spec-generator

  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.

• classify-agent

  Classify a problem into one of four agent architectures: coding harness, dark factory, auto research, or orchestration framework. Implements the "one-question test" diagnostic from Nate Kadlac's agent taxonomy. Use when starting a new agent project, evaluating a build approach, or when someone says

• claude-code-memory-architect

  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, redesig

• claude-memory-architect

  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, compactio

• claudemd-router

  Restructure a bloated CLAUDE.md into a lean router that delegates to compartmentalized .claude/rules/ files. Use when CLAUDE.md exceeds ~80 lines, when adding a new domain of instructions, or when the user says "clean up my CLAUDE.md", "my CLAUDE.md is too long", or "organize my rules".

• compound-skill-orchestrator

  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 c

• context-fork-guide

  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 wh

• context-hygiene

  Reference for Claude Code context management. Use /by-the-way for side questions, /fork for path exploration, and context:fork in skills for isolated execution. Trigger on "context is getting large", "session feels slow", "Claude forgot what we were doing", "how do I manage context".

• decomposition-scorer

  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

• delegation-spec

  Generate a pre-flight delegation spec for any agent task -- context packages for memory-weak tools, review gates for opacity-prone tools, compounding checkpoints for stateless tools. The "test suite before the agent runs the work." Use when handing off a task to an agent, preparing a workflow for au

• dispatch-handoff-brief

  Generate structured delegation briefs for Anthropic Dispatch or any autonomous agent handoff with objective, success criteria, tools needed, verification, and escalation conditions

• dynamic-workflow-orchestration

  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 a

• heartbeat-generator

  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", "c

• hive-mind-shared-context

  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 con

• make-anticipatory

  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

• memory-fingerprint-architect

  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, th

• memory-system-assembler

  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 f

• prompt-goodies

  An escalating ladder of copy-paste delegation-prompt patterns, extracted from prompts a frontier model wrote for itself when orchestrating subagents. Use this skill whenever the user asks for "prompt goodies", wants to write or improve a prompt that delegates work (to a subagent, an agent team, a wo

• scheduled-agent-harness

  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.

• sensemaking-concentrator

  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.

• world-model-principles-scorecard

  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 simp

• world-model-readiness-diagnostic

  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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