skillsaw

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.

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 to triage and label incoming issues, not to fix them.

Onboard a repository to skillsaw — run the linter, apply autofixes, manually fix remaining violations, set up CI, and create a baseline. Use when adopting skillsaw on a new or existing project.

Review open PRs in skillsaw, fix failing CI, address reviewer feedback, and push updates. Use for triaging and fixing up existing pull requests.

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

Serial multi-specialist code review panel for skillsaw PRs. Runs 6 specialist reviewers (Architecture, Python Expert, Security & Supply Chain, QA Engineer, Technical Writer, Ecosystem) inline then synthesizes a single verdict.

Deploy the application to staging or production and roll back failed releases

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

Skill whose only name lives inside a flow-mapping continuation line

Generates styled spreadsheet reports with custom fonts and validates the output against the bundled schema. Use when the user asks for a formatted report file.

Draft changelog entries from merged pull requests since the last release tag

Use this skill when deploying a service through the rollout pipeline

Use this skill when tagging a release for the deployment pipeline

Use this skill when auditing duplicate pipeline definitions

Skill that handles legacy deployment workflows

Step-by-step workflow for {{SKILL_NAME}} tasks. Update this description to say what the skill does and when the agent uses it.

Automate deployment steps and environment bootstrapping for the service.

Automate deployment steps and environment bootstrapping for the service.

Parse application logs, surface error clusters, and summarize failure patterns

Build weekly status reports from git history and issue tracker exports

Deploy the application to the staging environment, including building artifacts, running the pre-deployment validation suite, uploading the artifacts to the staging bucket, rolling the staging cluster, verifying health checks, and posting a deployment summary to the team channel. Use when the user asks to deploy, ship, or release to staging.

Summarize open incidents from the pager rotation and produce a morning handoff report. Use when the user asks for an incident summary, a handoff report, or the current pager status. Includes links to each incident, the owning team, current severity, and the latest status update for every open incident.

Investigate a production incident from start to finish. Use when the user reports an outage, a spike in error rates, or asks for an incident investigation. Collects the recent deploy history, correlates it with the alert timeline, and pulls the relevant service logs for the affected window. Summarizes the most likely root causes with supporting evidence and links to the dashboards used. Prepares a draft incident report with an impact assessment, a timeline of events, and the follow-up actions the team agreed on. Posts the report to the incident channel and files tracking issues for each follow-up action so nothing is lost after the incident is closed. Keeps a record of every command it ran so the investigation can be audited or replayed later. Escalates to the on-call engineer when the evidence points at an ongoing problem rather than a resolved one. Works across the API, worker, and frontend services and understands the standard deployment topology. Never restarts services or rolls back deploys on its own; i

Generate release notes from merged pull requests since the last tag. Use when the user asks to draft release notes, prepare a changelog, or summarize what shipped in a release. Groups entries by product area and labels any breaking changes for maintainers.

Use this skill when working with the data parsing pipeline

A skill with a mismatched directory name to trigger agentskill-name rename

Browser-based UI test execution against live clusters

A skill with an unrecognized subdirectory and no evals

Review code changes for correctness, style, and potential issues

This skill is designed to perform extremely comprehensive and detailed code analysis across all supported programming languages including but not limited to Python, JavaScript, TypeScript, Go, Rust, Java, Kotlin, Swift, Ruby, PHP, C, C++, C#, Scala, Haskell, Elixir, Clojure, Dart, Lua, Perl, R, MATLAB, Julia, Fortran, COBOL, Assembly, Bash, PowerShell, SQL, GraphQL, HTML, CSS, SASS, LESS, XML, JSON, YAML, TOML, INI, Markdown, LaTeX, reStructuredText, AsciiDoc and many more, providing thorough static analysis, linting, formatting suggestions, security vulnerability detection, performance optimization recommendations, code complexity metrics, dependency analysis, dead code detection, test coverage estimation, documentation quality assessment, naming convention enforcement, architecture pattern recognition, design pattern identification, anti-pattern detection, code smell detection, refactoring suggestions, accessibility compliance checking, internationalization readiness evaluation, API compatibility verificati

Skill that handles alert trigger operations

Skill that handles database backup operations

Skill that handles API testing

Skill that handles code review operations

Skill that handles deploy service operations