ai-skill-collections

Plugin ai-skill-collections from marketplace ai-skill-collections in chanakya-net/Maestro-AI. Commands read from the repo's manifest — 6 days ago.

Skills (7)

• break-req

  Requirements discovery, dependency mapping, and technical constraint capture before implementation planning.

• create-git-issue

  Create a PRD from resolved requirements, break it into tracer-bullet implementation issues, and publish via GitHub when available or local files when not.

• help-me-debug

  Use when a user reports a bug, failure, regression, unclear root cause, or needs evidence-backed diagnosis artifacts before implementation work.

• pair-colleague

  Use when a problem deserves two independent AI solution colleagues exploring alternatives together — the invoking agent coordinates a bounded multi-round discussion between two user-configured harness/model pairs and writes a final decision dossier.

• run-with-it

  Two-layer orchestration runtime — Main Orchestrator fetches all issues, plans execution order, maintains a rolling pool of Sub-Coordinators (up to PARALLEL_JOBS concurrently), fills freed slots immediately on completion, and updates GitHub. Context stays bounded so the run can continue for hours or

• save-tokens

  Ultra-compressed response mode. Cuts token usage by dropping articles, filler, pleasantries, and hedging. Uses symbols for relationships. Technical terms and code blocks remain exact and uncompressed. Use when user says "save tokens", "RTU mode", or "compressed response mode".

• tdd-implementation

  Test-first implementation discipline for assigned work using a strict red-green-refactor loop.

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