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Skills IA documentation automation tools

Découvrez les skills documentation automation tools, comparez leurs dépôts et consultez leurs instructions.

Catégories: documentation automation tools

6,505–6,528 sur 8,302

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GitHub

code-reviewer

johnmog

Comprehensive code review for pull requests and local branch changes. Use when the user requests a code review, asks to review changes, provides a PR URL, or wants feedback on branch modifications. Focuses on l...

GitHub

frontend-design

Yosolita1978

Create distinctive, mobile-first Next.js interfaces with high design quality. Use when building pages, components, or layouts. Generates polished code that avoids generic AI aesthetics.

GitHub

flow-next-export-context

raydocs

Export RepoPrompt context for external LLM review (ChatGPT, Claude web, etc.). Use when you want to review code or plans with an external model. Triggers on /flow-next:export-context.

GitHub

flow-next-worktree-kit

raydocs

Manage git worktrees (create/list/switch/cleanup) and copy .env files. Use for parallel feature work, isolated review, clean workspace, or when user mentions worktrees.

GitHub

flow-next-impl-review

raydocs

John Carmack-level implementation review via RepoPrompt or OpenCode. Use when reviewing code changes, PRs, or implementations. Triggers on /flow-next:impl-review.

GitHub

flow-next-impl-review

raydocs

John Carmack-level implementation review via RepoPrompt or Codex. Use when reviewing code changes, PRs, or implementations. Triggers on /flow-next:impl-review.

GitHub

commit

jorgeavaldez

Reviews staged git changes and drafts a concise commit message. Use when the user wants to commit, needs a commit message, or asks to review staged changes for committing.

GitHub

product-roast

laurenj3250-debug

Comprehensive product audit skill combining brutal UX/code roasting with behavioral psychology-informed vision crafting. Use when analyzing apps to find bugs, missed opportunities, and transformative improvemen...

GitHub

pro

laurenj3250-debug

Professional engineering skill combining senior engineer thinking patterns, adaptive task assessment, and Google-grade standards. Invoke with /pro before any coding task to ensure production-quality work with p...

GitHub

code-reviewer

tariron

Expert code review for Python, microservices, security, and production best practices. Automatically activated when code review is needed to identify bugs, security issues, and quality problems.

GitHub

pr-review-loop

dundas

Monitor PR for code review, analyze feedback with AI, implement fixes, and merge when approved with CI green.

GitHub

changelog-manager

dundas

Create and update CHANGELOG.md with entries that include AI model/CLI attribution, PRD context, and task references.

GitHub

changelog-manager

dundas

Create and update CHANGELOG.md with entries that include AI model/CLI attribution, PRD context, and task references.

GitHub

frontend-design-concept

dundas

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoid...

GitHub

pr-review-loop

dundas

Monitor PR for code review, analyze feedback with AI, implement fixes, and merge when approved with CI green.

GitHub

pr-review-loop

dundas

Monitor PR for code review, analyze feedback with AI, implement fixes, and merge when approved with CI green.

GitHub

changelog-manager

dundas

Create and update CHANGELOG.md with entries that include AI model/CLI attribution, PRD context, and task references.

GitHub

frontend-design

Yosolita1978

Create distinctive, mobile-first Next.js interfaces with high design quality. Use when building pages, components, or layouts. Generates polished code that avoids generic AI aesthetics.

GitHub

system-tools

wsylvest

CLI toolkit for infrastructure, development, and system administration. Use when Claude needs to execute git operations or GitHub CLI commands, provision AWS/GCP/Azure/DigitalOcean infrastructure, build or debu...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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