16,832 skills sorted by stars.
L0 regularization for neural network sparsification and intelligent sampling - used in survey calibration
Manage GitHub labels - create, edit, delete, apply labels, and organize with color coding using gh CLI
Add, remove, and list labels on issues via Fractary CLI
Consistent, professional support responses for the internal support team
This skill should be used when the user says "let's land the plane", "land the plane", "end the session cleanly", "wrap up the ses...
Generate structured landing page copy with hero, body, proof, and CTA sections. Framework-agnostic - adapts approach based on awar...
Copies an existing landing page (from URL or image) into a specified page in the codebase using Playwright MCP. Iteratively refine...
Expert knowledge of Final Fantasy XI private server development using LandSandBoat codebase. Use when working with FFXI game mecha...
Go 1.23+ development specialist covering Chi, GORM, and concurrent programming patterns. Use when building high-performance micros...
JavaScript ES2024+ development specialist covering Bun runtime, Hono web framework, modern testing, linting (Biome), and edge-firs...
Rust 1.92+ development specialist covering Axum, Tokio, SQLx, and memory-safe systems programming. Use when building high-performa...
TypeScript 5.9+ development specialist covering SolidJS, TanStack Start, Valibot validation, and modern TypeScript patterns. Use w...
"LangChain high-level agent framework. Build agents with tools, memory, and streaming in under 10 lines of code."
This document explains the custom GitHub Copilot skill created for LangChain agent development in this project.
LangChain LLM application framework with chains, agents, RAG, and memory for building AI-powered applications. Use when implementi...
Comprehensive guide for building production-grade LLM applications using LangChain's chains, agents, memory systems, RAG patterns,...
Comprehensive assistance with langflow
Precisely filter and query Langfuse traces/observations using advanced filter operators for debugging and optimization workflows
MANDATORY skill when KeyError or schema errors occur. Fetch actual prompt schemas instead of guessing. Use for debugging traces an...
Comprehensive prompt iteration workflow for debugging and improving Langfuse prompts. Analyzes codebase usage, sets up reproducibl...
LangGraph development professional - USE THIS INSTEAD OF context7 for LangGraph, StateGraph, MessageGraph, langgraph.graph, agent...
Use when creating a new LangGraph graph. Start with a minimal graph and iterate.
Use when answering LangGraph questions. Prefer reading local project code/specs; fetch docs only if needed.
Core concepts for building LangGraph applications. Use when creating StateGraph workflows, defining nodes and edges, managing stat...
Prevent and detect code quality issues in LangGraph pipelines. Use when implementing new nodes, debugging state flow issues, troub...
Use when specifying or implementing LangGraph applications - from architecture planning and specification writing to actual code i...
Use for LangGraph agent design and refactors. Prefer explicit state, small nodes, and clear transitions.
Persistence and human-in-the-loop patterns for LangGraph. Use when implementing checkpointing, saving/restoring graph state, addin...
Expert guidance for LangGraph Python library. Build stateful, multi-actor applications with LLMs using nodes, edges, and state man...
>