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O SkillsMP coletou 9 skills de kenryu42/skills. Abra uma skill para revisar a origem e os detalhes.
Mostrando 9 de 9 skills coletadas.
Generate a project-local verification skill that drives your app the way a user does — any language, framework, or platform. Use for /create-verification-skill, "make a control skill for this repo", or when a project has no scripted way to prove…
Idioma do texto original: inglês
Periodic pass that keeps a project's verification skill and feature map honest: parallel source readers per feature, one live session driving every feature, at most one PR of proven corrections. Use for /maintain-verification-skill or "audit the verify skill".
Idioma do texto original: inglês
Pre-commit/ship code review: Codex default; optional Claude or Pi.
Idioma do texto original: inglês
Watch an open PR on this repo — fix failing CI, wait out the review bots (coderabbitai, greptile-apps, pullfrog), handle the straightforward findings, and drive the PR to a mergeable state without re-prompting.
Idioma do texto original: inglês
Find what a change could break somewhere else before it ships, beyond the diff, and prove the one fact it's safe because of by running real code instead of writing it up. Use for 'blast radius of X', 'what could this break', or reviewing a small diff you…
Idioma do texto original: inglês
Create a coherent Conventional Commit with concise, high-signal context. Use when the user explicitly asks to commit current work or invokes $commit-with-context. Keep unrelated changes out and avoid splitting one task into artificial micro-commits.
Idioma do texto original: inglês
Analyze GitHub issues (bugs or feature requests)
Idioma do texto original: inglês
Find and verify potential sponsors for a GitHub repository by mining sponsor data from peer repos: README sponsor sections, sponsorkit SVGs, the GitHub Sponsors API, and Open Collective. Use when the user provides a target GitHub repo URL and wants sponsor…
Idioma do texto original: inglês
USE PROACTIVELY for any implementation request that spans multiple files, has several independent work items, or needs new tests — "implement this plan", "add feature X", "fix all these findings". It delegates execution to cheaper models (Fable plans and…
Idioma do texto original: inglês