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Step-by-step workflow for {{SKILL_NAME}} tasks. Update this description to say what the skill does and when the agent uses it.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Create a Pull Request for the current branch
Review an open PR before approving it
Analyze upstream specs (agentskills.io, Claude Code plugin/marketplace format, OpenClaw, MCP, 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.
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.
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.
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.
Based on SOC occupation classification
| name | {{SKILL_ID}} |
| description | Step-by-step workflow for {{SKILL_NAME}} tasks. Update this description to say what the skill does and when the agent uses it. |
Use this section to summarize what the skill does and the outcome it produces. Keep the body focused on instructions the agent follows.
Use this skill when you need to:
Check which files, arguments, and context the task requires — update
this step to include the specific inputs (for example config.yaml).
Update these steps with the actual workflow the skill performs. Keep
each instruction specific, and include the exact commands to run (for
example make test).
Include a typical request here, and update it with the steps the agent takes to handle it.
