maos

Slash commands for the multi-agent-os plugin. Commands are auto-discovered by Claude Code from this directory.

Display human-readable status of the agentic system (git + agents + sentinel + locks) using Status Map templates. Renamed from `status` (v1.5.1) to avoid collision with Claude Code built-in `/status`.

Forge a raw intent into the optimal reusable agentic-tool — research pre-existing internal+external solutions first (DRY), decide the best artifact TYPE (prompt/skill/command/agent/mcp/plugin/marketplace/rule), name it via 5-axis rigor, make it AI-agnostic + multi-agentic, then forge + save (operator-confirmed). Thin wrapper over the `agentic-tool-forge` skill. Genesis stage of the agentic-tool lifecycle.

Decide whether and HOW to take on a candidate tool that already exists (external repo/MCP/plugin/skill or internal proposal) — understand → research similars → compare/cross → validate viability → DECIDE among install/create-internally/absorb/adapt/sub-agent/abandon/defer-HITL → (gated) governed install. Thin wrapper over the `agentic-tool-intake` skill. The ADOPT stage of the agentic-tool lifecycle.

Ultra-fast parallel web research using sub-agents for 5-10x speedup

> **Single SSOT** for the autonomy posture of the cowork-team delivery agents

Agent definitions for the multi-agent-os plugin. These define specialized personas that can be spawned by the orchestrator.

Maher Saba thinking archetype — Apple VP of Engineering. Use when you need engineering excellence thinking, integration craftsmanship, pixel-perfect execution, or hardware-software polish at Apple-grade quality.

Elon Musk thinking archetype — Tesla/SpaceX/xAI founder. Use when you need first-principles thinking, 10x ambition, questioning every assumption, vertical integration strategy, or extreme velocity.

Agile product & delivery lead — composite of the product-management roles (Product Owner · Product/Project Manager · Scrum Master · Business Analyst). Use for backlog grooming, user-story authoring (INVEST), acceptance criteria + DoR/DoD, prioritization (MoSCoW/RICE/Eisenhower), sprint facilitation, requirements elicitation/analysis, and stakeholder framing. Composite by design (Gordian) — one delivery-leadership lens, not four agents.

Analyze tasks and recommend optimal sub-agent(s) for execution

Use when about to spawn a subagent/skill/task (Task tool, Agent tool, /command). Defines 6 decision criteria (decomposable/specialist-exists/audit-capacity/score≥MEDIUM/not-HUMAN-DOMAIN/time-budget), 10 mandatory briefing components (context/scope/motivation/purpose/objective/DoR/DoD/deliverables/feedback-loops/constraints), accountability preservation (parent NEVER delegates accountability — only execution; "delegating does not waive the responsibility received"), recursion ≤2, parallel ≤3. Harmonizes the agentic-inheritance principle (tree-returns-to-root · subordinate-is-parent's-full-responsibility · audit-output · zero-drift). Cross-vendor AAIF.

Generic, vendor-neutral session-observability engine (ASH — Agentic Session Harness). Per-session journals capturing goal · tasks · decisions[] · sources · transcript_hash, plus a decision-audit (why the agent decided X, spec_alignment drift). Ships CLIs (agentic-walkthrough timeline · agentic-decisions audit report · agentic-decide capture · agentic-reindex backfill) + SessionStart/Stop hooks. Use when you need an auditable record of what an agent did and WHY across sessions. Promoted from a host product 2026-06-02 (Layer-1 community engine).

Use when you need to evaluate, test, score, benchmark, or QA an agentic-tool (a skill/SKILL.md, agent, subagent, slash-command, prompt, or MCP-tool) — e.g. "is this skill any good?", "does this skill actually trigger?", "test this agent", "did my edit regress the skill?", "compare these two skill versions", "score this command". Produces a behavioral eval report; does NOT author or modify the tool.

Use when you want to turn a raw intent/instruction into a REUSABLE agentic-tool — e.g. "turn this into a skill", "forge an agentic-tool for X", "make this a recurring command/agent", "convert these instructions into a tool", "criar um agentic-tool para …", "research then build the best tool for …". Researches pre-existing internal + external solutions FIRST (DRY), decides the OPTIMAL artifact TYPE among {prompt · skill · command · agent/subagent · mcp · plugin · marketplace · rule/hook}, names it (delegating to `anima` when present, else 5-axis inline fallback), makes it AI-agnostic + multi-agentic, then forges + saves it (operator-confirmed). The genesis stage of the agentic-tool lifecycle (forge → evaluate → train → operate → deprecate). Hands off to agentic-tool-evaluator + -trainer. Cross-vendor AAIF (Claude / Cursor / Codex / Copilot / Gemini / Aider).

10 hooks across 5 events