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Found 3,098 Skills
Runs external LLM code reviews (OpenAI Codex or Google Gemini CLI) on uncommitted changes, branch diffs, or specific commits. Use when the user asks for a second opinion, external review, codex review, gemini review, or mentions /second-opinion.
Create a new Azure DevOps wiki page. Use when the user wants to add a new wiki page, write project documentation in Azure DevOps wiki format, or update wiki page structure with mermaid diagrams in Traditional Chinese.
Use when preparing a pull request for merge: inspect diffs, collect checks and review comments, classify findings, fix safe issues, verify, and loop until merge-ready.
Pre-flight before creating a pull request: run `greptile review` on the committed branch, VERIFY the review actually matches this branch's diff, triage its findings, apply safe fixes (propose risky ones), and only then `gh pr create`. Runs in repos where greptile is configured. Trigger ONLY on explicit PR-creation intent: "crea el PR", "create the PR", "abrí el PR", "open a PR", or immediately before a `gh pr create`. Do NOT fire on a bare commit.
Git-aware undo by logical work unit (track, phase, or task)
Use this skill immediately when the user mentions merge conflicts that need to be resolved. Do not attempt to resolve conflicts directly - invoke this skill first. This skill specializes in providing a structured framework for merging imports, tests, lock files (regeneration), configuration files, and handling deleted-but-modified files with backup and analysis.
Automated tech debt cleanup worker (L3). Reads codebase audit findings, applies safe auto-fixes for low-risk issues (unused imports, dead code, commented-out code, deprecated aliases). Confidence >=90% only. Creates single commit with summary.
Autonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy's autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, autonomous coding loop. DO NOT USE FOR: one-shot tasks, simple bug fixes, code review, or tasks without a measurable metric.
Identify and report potentially malicious software repositories masquerading as legitimate security tools
Comprehensive multi-stage code review using specialized subagents. Use when reviewing PRs with complex architectural impact, security concerns, or when thorough multi-perspective analysis is needed.
List my pull requests in the current repository
Commit, push, and open a PR with an adaptive, value-first description. Use when the user says "commit and PR", "push and open a PR", "ship this", "create a PR", "open a pull request", "commit push PR", or wants to go from working changes to an open pull request in one step. Produces PR descriptions that scale in depth with the complexity of the change, avoiding cookie-cutter templates.