skillsaw

In the author's own words, from each skill's SKILL.md — showing the first 14 of 314 files.

• skillsaw-create-plugin

  Create a skillsaw rule plugin — a pip-installable Python package that adds custom lint rules to skillsaw. Walks through scaffolding the package, writing rules against the lint tree, testing, and publishing to PyPI. Use when a user wants to share skillsaw rules across repositories or publish them for others.

  skills/skillsaw-create-plugin/SKILL.md on GitHub (opens in a new tab)

• skillsaw-fix

  Fix skillsaw lint violations — apply deterministic autofixes, then resolve the remaining violations with targeted edits guided by `skillsaw explain`. Use when skillsaw reports violations, when asked to clean up lint findings, or after `skillsaw fix` leaves violations behind.

  skills/skillsaw-fix/SKILL.md on GitHub (opens in a new tab)

• skillsaw-issue

  Use when skillsaw reports a likely false positive, misses an edge case, behaves incorrectly, or needs an RFE. Gather a safe report and, only with explicit user permission, create a feedback bundle or open a GitHub issue.

  skills/skillsaw-issue/SKILL.md on GitHub (opens in a new tab)

• skillsaw-lint

  Use when modifying agentic contextual building blocks like skills (SKILL.md), slash commands, agents, hooks, plugins, marketplaces, and instruction files (CLAUDE.md, AGENTS.md, GEMINI.md, QWEN.md, Cursor, Copilot, Cline, or Kiro rules), tool configuration such as an OpenCode `opencode.json`, Muse Code hooks (`.muse/hooks.json`), a Grok Build `.grok/` project layer or a Google Antigravity customiz…

  skills/skillsaw-lint/SKILL.md on GitHub (opens in a new tab)

• skillsaw-onboard

  Onboard a repository to skillsaw — run the linter, triage the findings by rule, apply autofixes, manually fix what remains, set up CI, and create a baseline. Use when adopting skillsaw on a new or existing project.

  skills/skillsaw-onboard/SKILL.md on GitHub (opens in a new tab)

• skillsaw-update

  Update a repository to the newest skillsaw — upgrade the install, report new rules and their findings in your repo, and bump version pins (GitHub Action SHAs, Makefile targets, pre-commit hooks). Use when a new skillsaw release is out and you want its latest checks.

  skills/skillsaw-update/SKILL.md on GitHub (opens in a new tab)

• skillsaw-ecosystem-scout

  Survey the AI coding assistant and agentic tool ecosystem, assess skillsaw's competitive position, identify emerging patterns and missing capabilities, and produce a prioritized strategic report as a GitHub issue. Use when evaluating ecosystem trends and product gaps.

  .agents/skills/skillsaw-ecosystem-scout/SKILL.md on GitHub (opens in a new tab)

• skillsaw-issue-solver

  Pick up open GitHub issues from collaborators and create PRs to solve them. Use when triaging and resolving reported bugs or feature requests.

  .agents/skills/skillsaw-issue-solver/SKILL.md on GitHub (opens in a new tab)

• skillsaw-issue-triage

  Triage a GitHub issue filed against skillsaw — classify it (bug, feature, docs, question, other), verify its claims against the codebase, enrich it with missing details, and post one structured triage comment. Use when triaging and labeling incoming issues, not to fix them.

  .agents/skills/skillsaw-issue-triage/SKILL.md on GitHub (opens in a new tab)

• skillsaw-maintenance

  Analyze upstream specs (agentskills.io, Claude Code plugin/marketplace format, OpenAI Codex plugins/marketplace, OpenClaw, MCP and MCP Registry, CodeRabbit, APM) for changes, identify gaps in skillsaw's rule coverage, and create or update PRs to close those gaps. Use when performing periodic maintenance on the skillsaw linter.

  .agents/skills/skillsaw-maintenance/SKILL.md on GitHub (opens in a new tab)

• skillsaw-pr-followup

  Follow up on open PRs in skillsaw — fix failing CI, address reviewer feedback, push updates, and validate backward compatibility. Use when an open PR needs maintenance.

  .agents/skills/skillsaw-pr-followup/SKILL.md on GitHub (opens in a new tab)

• skillsaw-release-ready

  Audit skillsaw for release readiness — test new rules against real repositories, audit core architectural dimensions, independently verify proposed fixes, and ship improvements in clean, focused batches. Use before cutting a release.

  .agents/skills/skillsaw-release-ready/SKILL.md on GitHub (opens in a new tab)

• skillsaw-release

  Bump the version, generate release notes, and publish a new skillsaw release to PyPI. Use when cutting a new release.

  .agents/skills/skillsaw-release/SKILL.md on GitHub (opens in a new tab)

• skillsaw-review-panel

  Use when reviewing a skillsaw PR. Dispatches 7 specialist reviewers (Architecture, Python Expert, Security & Supply Chain, QA Engineer, Technical Writer, Ecosystem, Slopinator) as parallel sub-agents by default, then synthesizes a single verdict. Use --serial for cheaper inline execution.

  .agents/skills/skillsaw-review-panel/SKILL.md on GitHub (opens in a new tab)

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