Skills & Agent Building
5,949 results
- LeanreaaicodekingReverse engineer shipped software with plain local CLI tools, no MCP needed. Covers Electron/JS bundles, native Mach-O/ELF/PE, Go/Rust/.NET/Flutter/WASM binaries, APKs, SQLite, pcaps, firmware and websites. Use to explain how a feature works, extract versions/deps, compare builds, or rebuild a feature.
- cclank/news-aggregator-skilllanshuCollection这是一个为您定制的全网新闻聚合skill,支持多个信息源，支持深度获取，能够阅读文章正文并提供有理有据的深度解读。
- Travel PlannerrevfactoryA full pipeline where an agent team collaborates to generate everything from destination analysis to local information for travel planning. Used for 'plan a trip', 'Japan travel itinerary', 'Europe backpacking', 'weekend getaway', 'international travel prep', 'travel budget', 'accommodation recommendations', 'travel itinerary', 'local restaurants', 'travel route recommendations', etc.
- Re0 MergelilmgeniusReview and land an external contribution the way this suite does: gate it against the thesis, land it with the author's credit intact, complete a new skill rather than merging it raw, then approve, credit, and explain before closing. Use when reviewing a pull request, as any collaborator or maintainer, not only the author.
- Re0 UpgradelilmgeniusBring your installed paperthin skills up to the full current catalog in one step: retire what's been renamed, add every skill you don't have yet, and refresh the rest, all shown and confirmed before anything changes.
- Deep Agents Corelangchain-aiINVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options.
- Deep Agents Memorylangchain-aiINVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.
- Deep Agents Orchestrationlangchain-aiINVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.
- Deepagents Python Quickstartlangchain-aiScaffold a minimal local Deep Agent in Python by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent locally.
- Deepagents Typescript Quickstartlangchain-aiScaffold a minimal local Deep Agent in TypeScript by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent locally.
- Langchain Dependencieslangchain-aiINVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents. Covers required packages, minimum versions, environment requirements, versioning best practices, and common community tool packages for both Python and TypeScript.
- Langchain Fundamentalslangchain-aiCreate LangChain agents with create_agent, define tools, and use middleware for human-in-the-loop and error handling.
- Langchain Middlewarelangchain-aiINVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output. Covers HumanInTheLoopMiddleware for human approval of dangerous tool calls, creating custom middleware with hooks, Command resume patterns, and structured output with Pydantic/Zod.
- Langchain Python Quickstartlangchain-aiScaffold a minimal local LangChain agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent locally.
- Langchain Raglangchain-aiINVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).
- Langchain Typescript Quickstartlangchain-aiScaffold a minimal local LangChain agent in TypeScript by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent locally.
- Langgraph Human In The Looplangchain-aiINVOKE THIS SKILL when implementing human-in-the-loop patterns, pausing for approval, or handling errors in LangGraph. Covers interrupt(), Command(resume=...), approval/validation workflows, and the 4-tier error handling strategy.
- Langgraph Persistencelangchain-aiINVOKE THIS SKILL when your LangGraph needs to persist state, remember conversations, travel through history, or configure subgraph checkpointer scoping. Covers checkpointers, thread_id, time travel, Store, and subgraph persistence modes.
- Langgraph Python Quickstartlangchain-aiScaffold a minimal local LangGraph agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangGraph agent locally.
- Langgraph Typescript Quickstartlangchain-aiScaffold a minimal local LangGraph agent in TypeScript by following the official quickstart. Use when the user wants to quickly build or try a LangGraph agent locally.
- Swarmlangchain-aiDispatches many independent items in parallel: create a table, fan out to subagents, aggregate results. One row = one unit of work.
- Percom Review Processbrycewang-stanfordUse when reasoning about how an IEEE PerCom research submission is evaluated, covering double-blind review, the three-TPC-member model, the early-rejection stage, the single-round bounded rebuttal gated by a "weak accept," the accept/reject decision, and how PerCom's process differs from ACM UbiComp/IMWUT's journal revise cycle.
- vshulcz/deja-vuVlad ShulczCollectionCoding agent memory for Claude Code, Codex, Cursor and 39 more, built from the session history already on your disk. Local search, MCP and hooks, no LLM, one Go binary.
- Find Skillgooseworks-aiFind and install skills from the Orthogonal skill library. Use when you need capabilities you don't have, want to discover available skills, or need to add new tools to your agent.