القائمة
Router for LangChain, LangGraph, and Deep Agents skills. Load this ONCE — it tells you which sub-skill file to read for the specific task.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | langchain-stack |
| description | Router for LangChain, LangGraph, and Deep Agents skills. Load this ONCE — it tells you which sub-skill file to read for the specific task. |
| triggers | ["langchain","langgraph","deep agents","agent framework","create agent","state graph"] |
Do NOT load all sub-skills. Read ONLY the file(s) relevant to the current task.
If unsure which framework to use, read framework-selection first:
→ ~/.skills-library/langchain/framework-selection/SKILL.md (163 lines)
| When | Read |
|---|---|
| Creating agents, defining tools, basic agent loop | ~/.skills-library/langchain/langchain-fundamentals/SKILL.md (394 lines) |
| Human-in-the-loop approval, custom middleware, structured output | ~/.skills-library/langchain/langchain-middleware/SKILL.md (388 lines) |
| RAG: document loaders, splitters, embeddings, vector stores | ~/.skills-library/langchain/langchain-rag/SKILL.md (517 lines) |
| Package versions, installation, dependency management | ~/.skills-library/langchain/langchain-dependencies/SKILL.md (419 lines) |
| When | Read |
|---|---|
| StateGraph, nodes, edges, Command, Send, streaming | ~/.skills-library/langchain/langgraph-fundamentals/SKILL.md (811 lines) |
| interrupt(), approval workflows, error handling tiers | ~/.skills-library/langchain/langgraph-human-in-the-loop/SKILL.md (532 lines) |
| Checkpointers, thread_id, time travel, Store, subgraph persistence | ~/.skills-library/langchain/langgraph-persistence/SKILL.md (560 lines) |
| When | Read |
|---|---|
| create_deep_agent(), harness architecture, SKILL.md format | ~/.skills-library/langchain/deep-agents-core/SKILL.md (423 lines) |
| SubAgentMiddleware, TodoList planning, HITL interrupts | ~/.skills-library/langchain/deep-agents-orchestration/SKILL.md (471 lines) |
| StateBackend, StoreBackend, FilesystemMiddleware, CompositeBackend | ~/.skills-library/langchain/deep-agents-memory/SKILL.md (301 lines) |
~/.skills-library/langchain is a symlink to the langchain-skills submodule — don't hardcode the submodule path, use this alias so the skill stays portable if the submodule moves.
Address Greptile PR review comments — read inline comments and summary, fix issues locally, push, reply to each thread, then tag Greptile to re-score and resolve threads.
End-to-end feature development loop. You describe a feature, iterate on the plan, then the team implements, reviews, ships a PR, and handles the configured PR-review bot autonomously. Notifies you at milestones. Use ONLY when the user wants the full autonomous implement→review→PR→verify loop for a multi-file feature. Do NOT use for: quick bug fixes, single-file edits, exploratory/discussion tasks, or anything the user wants to drive step-by-step.
Fetches and debugs a Langfuse trace OR session by ID or URL. A `.../sessions/<id>` URL renders a turn-by-turn conversation transcript (USER → TOOLS → ANNIE) across all the session's traces. A trace renders a span-tree overview with auto-suggested drill targets, then drills into a chosen section to surface system prompts, tool calls, and tool results. Renders both Anthropic block-style and langchain `tool_calls`-key messages, and strips noise (tool-call ids — incl. the giant gemini `__thought__` ids — plus `additional_kwargs`/`response_metadata`/message ids). Supports comparing two spans side-by-side. Use when the user provides a Langfuse trace/session ID or URL, mentions a langfuse.* link, or asks to debug, inspect, diagnose, or compare an LLM trace or conversation. Defaults to anyformat credentials (LANGFUSE_TRACING_*) and host (langfuse.anyformat.ai); other hosts work if LANGFUSE_HOST and LANGFUSE_PUBLIC_KEY/LANGFUSE_SECRET_KEY are set.
Query and debug anyformat's Datadog observability (logs, metrics, traces, monitors, incidents) via the plugin:datadog:mcp server, accounting for our non-standard loguru log structure. Use when searching or debugging anyformat logs/metrics/traces/monitors/incidents in Datadog, or when a Datadog log search for anyformat-core/backend returns 0 results.
Commit changes grouped by logical chunks, push to a feature branch, link a Linear ticket, and create a labelled PR. Targets 'dev' if it exists on origin (anyformat convention), otherwise the repo's default branch. Triggers on: commit, push, create PR, ship it, send PR.
Address failing CI checks on the current PR — group failures by root cause, fix locally, push, then watch the re-run. Pairs with react-to-greptile (comments) for full PR clean-up.
