القائمة
جمع SkillsMP عدد ٩ من skills من langchain-ai/docs. افتح أي skill لمراجعة مصدره وتفاصيله.
عرض ٩ من أصل ٩ skills مجمعة.
Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API,…
لغة النص الأصلي: الإنجليزية
Use this skill when migrating inline code samples from LangChain docs (MDX files) into external, testable code files that are extracted by this repo’s snippet scripts and used as Mintlify snippets. Applies when extracting code blocks from documentation,…
لغة النص الأصلي: الإنجليزية
Process open LangChain docs integration PRs against the hosted-guide featuring policy (50K monthly downloads or maintainer feature override). Rebase an integration PR, convert to external YAML, feature an integration, or check package downloads for docs…
لغة النص الأصلي: الإنجليزية
Build agents with a prebuilt architecture and integrations for any model or tool. Use when creating tool-calling agents, switching model providers, or adding structured output.
لغة النص الأصلي: الإنجليزية
Build batteries-included agents with planning, context management, subagent delegation, and sandboxed execution. Use for complex, multi-step tasks that need built-in capabilities.
لغة النص الأصلي: الإنجليزية
Build stateful, durable agent workflows with LangGraph. Use when you need custom graph-based control flow, human-in-the-loop, persistence, or multi-agent orchestration.
لغة النص الأصلي: الإنجليزية
Common pandas and matplotlib patterns for data analysis and visualization
لغة النص الأصلي: الإنجليزية
Trace, evaluate, and deploy AI agents and LLM applications with LangSmith. Use when adding observability, running evaluations, engineering prompts, or deploying agents to production.
لغة النص الأصلي: الإنجليزية
Use when the user wants the current date and time written to a file via the bundled script inside the sandbox.
لغة النص الأصلي: الإنجليزية