subagent-driven-development
[ En vedette ]Subagent-driven development automates independent tasks using fresh subagents, ensuring high-quality results and fast iteration for developers. It streamlines AI coding workflows.
Best productivity workflow skills for AI agents. Connect Notion, Slack, calendars, and workflow tools to automate daily execution.
This directory brings installable AI Agent skills into one place so you can filter by search, category, topic, and official source, then install them directly into Claude Code, Cursor, Windsurf, and other supported environments.
Subagent-driven development automates independent tasks using fresh subagents, ensuring high-quality results and fast iteration for developers. It streamlines AI coding workflows.
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Use when implementing any feature or bugfix, before writing implementation code
Use when you have a spec or requirements for a multi-step task, before touching code
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Cette compétence d'agent IA pour Cursor vous permet de recevoir et de répondre aux revues de code de manière efficace, en vérifiant l'exactitude technique et en évitant la mise en œuvre aveugle
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
La révision de code est le processus d'évaluation et d'amélioration de la qualité du code
La compétence d'exécution de plans permet aux agents IA de charger, de réviser et d'exécuter des plans d'implémentation de manière efficace.
La compétence de l'Agent AI pour PPTX permet de créer et d'éditer des présentations de manière efficace, y compris la lecture et l'extraction de texte, l'édition de modèles et la combinaison de fichiers.