// Use this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance.
Search arXiv preprint repository for papers in physics, mathematics, computer science, quantitative biology, and related fields
Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Use this skill when the user asks to: create a skill, make a skill, build a skill, set up a skill, initialize a skill, scaffold a skill, update or modify an existing skill, validate a skill, learn about skill structure, understand how skills work, or get guidance on skill design patterns.
Create new eval suites for the deepagentsjs monorepo. Handles dataset design, test case scaffolding, scoring logic, vitest configuration, and LangSmith integration. Use when the user asks to: (1) create an eval, (2) write an evaluation, (3) add a benchmark, (4) build an eval suite, (5) evaluate agent behaviour, (6) add test cases for a capability, or (7) implement an existing benchmark (e.g. oolong, AgentBench, SWE-bench). Trigger on phrases like 'create eval', 'new eval', 'add eval', 'benchmark', 'evaluate', 'eval suite', 'write evals for'.
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research
| name | langgraph-docs |
| description | Use this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance. |
This skill explains how to access LangGraph Python documentation to help answer questions and guide implementation.
Use the fetch_url tool to read the following URL: https://docs.langchain.com/llms.txt
This provides a structured list of all available documentation with descriptions.
Based on the question, identify 2-4 most relevant documentation URLs from the index. Prioritize:
Use the fetch_url tool to read the selected documentation URLs.
After reading the documentation, complete the users request.
