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Found 3,748 Skills
Audits and improves the pull request workflow for a GitHub repository. Covers PR description templates, auto-labelling, CODEOWNERS, PR size checks, and branch protection rules. Invoked when the user asks to improve the PR process, set up PR automation, or add a PR template.
Triage failed CI runs on a GitHub-Actions–driven repo — classify regression vs flake vs infra, maintain a single rolling `main-red` issue when main is broken, and point humans at the suspect commit. Use when a workflow fails on `main`, or when a human asks "is main red?", "why did CI fail on main?", "triage this workflow run", "classify this failure". Paired with the consumer repo's `<repo>-pr-lifecycle` skill (PR-side CI triage) and the `web-testing` skill (invoked for `e2e` failures).
Analyze an in-progress git branch, compare it with the current master/main using a subagent, derive practical lessons, and generate a concise redo handoff. Use when restarting a messy branch, redoing work cleanly, extracting lessons from current changes, or preparing another agent to verify the handoff, align with the user, and rebuild from the default branch.
Cluster a GitHub issue backlog by root cause into a small set of plan-master issues, redirect children with a standardized comment, and bundle architectural-fix PRs that close clusters atomically. Use when an issue tracker has accumulated dozens of reports that share underlying defects, when asked to triage / consolidate / cluster / dedupe issues, when asked to build a plan series or roadmap from open issues, or when routing a new incoming bug into an existing plan.
Research and draft a response to a GitHub issue or question from an external contributor.
Investigate a failing GitHub Actions run or job and create a GitHub issue for the failure.
Create a pull request in a mitodl GitHub repository using the org's standard PR template. Triggered by /olpr or whenever the user asks to open a pull request in a repo whose remote is under the mitodl GitHub organization. Guides branch inspection, title/body population, and gh pr create invocation.
Detect and analyze fraudulent software distribution repositories masquerading as legitimate security products
This skill should be used when the user asks to "create a changelog", "generate a changelog", "update my changelog", "fill in the changelog", "add a changelog", "CHANGELOG is missing entries", "changelog is out of date", "what's missing from my changelog", "changelog from git history", "write changelog", "release notes", or says "my project needs a CHANGELOG".
Runs ML experiments reproducibly — single runs or autonomous BFS batches. Single mode: isolated venv, time-budgeted, failure-handled, logs to RESEARCH.md. BFS mode (opt-in): designs N hypotheses, runs each for a fixed budget, compares via a single verifiable metric, keeps improvements and git-resets failures — fully autonomous until done. Respects the RESEARCH.md supervision policy for notifications, approvals, and stop limits. Trigger phrases: "run experiment", "train model", "explore design space", "find best config", "autoresearch".
Reply to every PR review comment — from GitHub Copilot, other review bots, and human reviewers — with code fixes or reasoned push-backs. Fetches all comments via the GitHub API, triages each one, fixes code, commits, and posts an inline reply to every comment. Use whenever the user wants to address PR feedback, respond to review comments, handle Copilot's review, clear out reviewer comments, or says 'address the review', 'reply to the comments', 'handle the PR feedback' — even if no specific reviewer is named. Not complete until every comment has a response posted.
Use when researching another Git repository