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Found 9,682 Skills
Use when ALL tasks in an epic or branch are closed and you are ready to integrate the entire body of work - never after individual task completions, never mid-epic
Use when the user says /bye, "wrap up", "end session", or similar. Reconstructs full session history including compacted context, creates a sessionlog, commits changes, and summarizes next steps.
Create work-order with minimal context for isolated subagent execution, optionally linked to GitHub issue
Motto: The LLM is the dice. It narrates the outcome.
Find, install, configure, and integrate Tool UI components in React apps using shadcn registry entries, compatibility checks, scaffolded runtime wiring, and troubleshooting workflows. Use when developers ask to add one or more Tool UI components, choose components for a use case, verify compatibility, or wire Tool UI payloads into assistant-ui or an existing chat/runtime stack.
This skill should be used when building, modifying, or debugging a react-admin application — including creating resources, lists, forms, data fetching, authentication, relationships between entities, custom pages, or any CRUD admin interface built with react-admin.
Setup and manage Kernel authentication connections for any website (Gmail, GitHub, Outlook, or custom domains). Handles managed auth flows with automatic reauthentication support.
Guide users through creating high-quality GitHub Copilot prompts with proper structure, tools, and best practices.
Extract color palettes from images, websites, or designs. Identifies dominant colors, generates complementary schemes, and exports in multiple formats (HEX, RGB, HSL, Tailwind, CSS variables). Use when users need color schemes from images, brand colors, or design system palettes.
Add "Open in molab" badge(s) linking to marimo notebooks. Works with READMEs, docs, websites, or any markdown/HTML target.
Use when working with Anthropic Claude Agent SDK. Provides architecture guidance, implementation patterns, best practices, and common pitfalls.
Expert guidance for LangChain and LangGraph development with Python, covering chain composition, agents, memory, and RAG implementations.