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Skills IA development automation tools

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

Catégories: development automation tools

3,553–3,576 sur 8,095

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Explorer

GitHub

context-setter

j-greig

Generate comprehensive context-setting markdown files for coding tasks by intelligently exploring codebase and structuring work with ROLE, CONSTRAINTS, STYLE, file reading order, and structured tasks. Use proac...

GitHub

modernize

jschulte

Brownfield Upgrade - Upgrade all dependencies and modernize the application while maintaining spec-driven control. Runs after Gear 6 for brownfield projects with modernize flag enabled. Updates deps, fixes brea...

GitHub

analyze

jschulte

Perform initial analysis of a codebase - detect tech stack, directory structure, and completeness. This is Step 1 of the 6-step reverse engineering process that transforms incomplete applications into spec-driv...

GitHub

reverse-engineer

jschulte

Deep codebase analysis to generate 9 comprehensive documentation files. Adapts based on path choice - Greenfield extracts business logic only (tech-agnostic), Brownfield extracts business logic + technical impl...

GitHub

project-field-management

yebot

Comprehensive guide to GitHub Projects field types, configuration, and management strategies. Use when setting up fields, troubleshooting field issues, or optimizing field structures.

GitHub

project-workflow-patterns

yebot

Common GitHub Projects workflow patterns and best practices for team collaboration. Use when designing workflows, setting up new projects, or optimizing existing processes.

GitHub

universal-workflow-init

laguna821

Bootstraps new projects by running a 5-question intake and generating a minimal scaffold (WORKPLAN.md, BRIEF.md, OUTLINE.md, SOURCES.md, LOG.md) plus optional folders for writing/research/coding. Use when the u...

GitHub

pr-review

nprbst

Review GitHub pull requests with VSCode integration. Use when the user asks to "review a PR", "review PRs", "check pull requests", or wants AI-assisted code review with clickable navigation and one-click commen...

GitHub

security-check

timequity

Automatic OWASP security checks on generated code. Use when: any code is generated in the pipeline. Triggers: internal use only.

GitHub

code-review-auto

timequity

Automatic code review and fixes before showing to user. Use when: code generation is complete, before preview. Triggers: internal use only.

GitHub

code-review

timequity

Code review workflow and best practices. Use when: reviewing PRs, receiving feedback, or preparing code for review. Triggers: "code review", "review", "pr review", "pull request", "feedback", "review changes".

GitHub

auto-testing

timequity

Automatically generate and run tests after each code change. Use when: any code is generated or modified in the pipeline. Triggers: internal use only.

GitHub

secrets-guardian

timequity

Protect repositories from accidental secret commits. Essential when working with AI agents. Use when: setting up new project, adding pre-commit hooks, scanning for secrets, fixing leaked credentials. Triggers:...

GitHub

tidy-first

Fortiz2305

Execute structural refactoring with test verification before behavioral changes - use when tidying code before features, cleaning up duplication, or improving clarity

GitHub

claude-md

bandofai

Create and maintain CLAUDE.md files for Claude Code projects. Use when users want to create a new CLAUDE.md, improve an existing one, audit CLAUDE.md quality, set up Claude Code configuration for a repository,...

GitHub

roadmap-integration

marcusgoll

Standard Operating Procedure for /roadmap usage. Manage product roadmap via GitHub Issues (brainstorm, prioritize, track). Auto-validates features against project vision (from overview.md) before adding to road...

GitHub

project-initialization-phase

marcusgoll

Standard Operating Procedure for /init-project phase. Guide one-time project setup with interactive questionnaire, brownfield codebase scanning, 8-document generation (overview, architecture, tech-stack, data,...

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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