Browse and Install AI Agent Skills

langgenius

Un modèle de requête et de mutation frontend qui utilise TanStack Query et oRPC pour créer des contrats dans web/contract

langgenius

Guide for implementing oRPC contract-first API patterns in Dify frontend. Trigger when creating or updating contracts in web/contract, wiring router composition, integrating TanStack Query with typed contracts, migrating legacy service calls to oRPC, or deciding whether to call queryOptions directly vs extracting a helper or use-* hook in web/service.

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Use when creating new skills, editing existing skills, or verifying skills work before deployment

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Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

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Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification

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Subagent-driven development automates independent tasks using fresh subagents, ensuring high-quality results and fast iteration for developers. It streamlines AI coding workflows.

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Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

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Use when implementing any feature or bugfix, before writing implementation code

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Use when you have a spec or requirements for a multi-step task, before touching code

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Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions

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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

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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.