Global Skills

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  • spec-before-code verified
    spec planning requirements acceptance-criteria scope

    Write a short spec (Objective, Acceptance Criteria, edge cases, non-goals) before touching code. Use when asked to build a feature and the requirements are fuzzy or underspecified.

  • refactoring dead-code simplicity maintainability

    Use when reducing codebase complexity — find dead code with vulture/ruff, collapse single-implementation interfaces, inline premature indirection. The 'could the next reader delete this?' test.

  • handoff continuity session context resume checkpoint

    Write a handoff note (where things stand, decisions made, exact next step) so a task can resume cleanly across sessions or agents. Use at the end of any work session, or when resuming one.

  • verification self-check done run-it finish confirm

    Before reporting any task done, actually run the code, read the diff, and confirm the output — never claim completion from memory. Use at the end of every task.

  • self-review diff quality-gate review-own-work verification

    Review your own diff line-by-line before calling work done — read the actual diff, run the checks, and fix your own issues first. Use before reporting any change complete.

  • secrets incident rotation git-history purge leak bfg

    Respond to a leaked secret — rotate immediately, purge from git history, and prevent recurrence. Use the moment a secret is found committed or exposed.

  • scope-discipline verified
    scope yagni minimal-change gold-plating discipline focus

    Do exactly what was asked — no gold-plating, no unrequested refactors or dependency additions — and ask before expanding scope. Use to keep changes small, reviewable, and reversible.

  • refactoring code-quality maintainability safety

    Use when changing code structure without changing behavior — the mechanical refactoring catalog (extract, rename, inline, move), small-step discipline, tests stay green throughout.

  • code-review severity blocking nitpick triage feedback

    Classify review findings into blocking vs non-blocking (nit) with clear criteria so reviews stay fast and fair. Use when writing or responding to review feedback.

  • ai-code-review llm-output verification hallucination generated-code

    Review LLM/agent-generated code with extra skepticism — verify claims, check for subtle bugs and invented APIs, and confirm it actually runs. Use for any AI-authored diff before trusting it.

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