claude

langchain-py-pack

LangChain 1.0 + LangGraph 1.0 skill pack for Python. Pain-first skills anchored to a 68-entry pain catalog covering content blocks, streaming token accounting, structured-output, vector stores, checkpointing, HITL, middleware, Deep Agents, and native OTEL. Includes 33 skills across four epics.

2,917 on GitHubby Jeremy Longshorev2.7.0MITupdated 6 days agosaas-packs
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Plugin langchain-py-pack from marketplace claude-code-plugins-plus in jeremylongshore/tons-of-skills-marketplace. Commands read from the repo's manifest — 6 days ago.

What it installs

Skills (33)

  • langchain-ci-integration

    Wire LangChain 1.0 / LangGraph 1.0 tests into a GitHub Actions pipeline\

  • langchain-common-errors

    Paste-match catalog of 14 real LangChain 1.0 / LangGraph 1.0 exceptions\

  • langchain-content-blocks

    Works correctly with LangChain 1.0's typed content blocks on AIMessage.content\n\

  • langchain-core-workflow

    Compose LangChain 1.0 chains with RunnableParallel, RunnableBranch,\n\

  • langchain-cost-tuning

    Control LangChain 1.0 AI spend with accurate streaming token accounting,

  • langchain-data-handling

    Load and chunk documents for LangChain 1.0 RAG pipelines correctly \u2014\

  • langchain-debug-bundle

    Produce a reproducible, sanitized diagnostic bundle for a LangChain\

  • langchain-deep-agents

    Build a LangGraph 1.0 Deep Agent \u2014 planner + subagents + virtual\

  • langchain-deploy-integration

    Deploy a LangChain 1.0 / LangGraph 1.0 app to Cloud Run, Vercel, or LangServe correctly — with timeouts sized for chain length, cold-start mitigation, SSE anti-buffering headers, and Secret Manager over .env. Use when prepping a first production deploy, debugging a stream that hangs behind a proxy,

  • langchain-embeddings-search

    Build and query vector stores with LangChain 1.0 without getting burned

  • langchain-enterprise-rbac

    Enforce tenant isolation and role-based access across LangChain 1.0\

  • langchain-eval-harness

    Build reproducible evaluation pipelines for LangChain 1.0 chains and\

  • langchain-incident-runbook

    Triage LangChain 1.0 / LangGraph 1.0 production incidents \u2014 LLM-specific\

  • langchain-langgraph-agents

    Build a correct LangGraph 1.0 ReAct agent with create_react_agent — typed tools, error propagation, recursion caps, and stop conditions that actually stop. Use when writing a first tool-calling agent, migrating from AgentExecutor or initialize_agent, or diagnosing an agent that loops on vague prompt

  • langchain-langgraph-basics

    Build a correct LangGraph 1.0 StateGraph \u2014 typed TypedDict state\

  • langchain-langgraph-checkpointing

    Persist LangGraph agent state correctly with MemorySaver and PostgresSaver\

  • langchain-langgraph-human-in-loop

    Build LangGraph 1.0 human-in-the-loop approval flows with interrupt_before\

  • langchain-langgraph-streaming

    Pick the correct LangGraph 1.0 stream_mode ("messages" vs "updates

  • langchain-langgraph-subgraphs

    Compose LangGraph 1.0 subgraphs correctly \u2014 shared state key propagation,\n\

  • langchain-local-dev-loop

    Build a fast, deterministic local test loop for LangChain 1.0 / LangGraph\

  • langchain-middleware-patterns

    Build composable middleware for LangChain 1.0 chains and LangGraph 1.0\

  • langchain-model-inference

    Invoke Claude, GPT-4o, and Gemini through LangChain 1.0 without tripping

  • langchain-multi-env-setup

    Build reliable dev / staging / prod isolation for LangChain 1.0 services\

  • langchain-observability

    Wire LangSmith tracing and custom metric callbacks into a LangChain\

  • langchain-otel-observability

    Wire LangChain 1.0 / LangGraph 1.0 traces into an OpenTelemetry-native

  • langchain-performance-tuning

    Tune LangChain 1.0 / LangGraph 1.0 Python chains and agents for throughput,\n\

  • langchain-prompt-engineering

    Manage LangChain 1.0 prompts like code \u2014 LangSmith prompt hub versioning,\n\

  • langchain-rate-limits

    Rate-limit LangChain 1.0 calls correctly across multi-worker deployments\

  • langchain-reference-architecture

    A reference layered architecture for production LangChain 1.0 / LangGraph\

  • langchain-sdk-patterns

    Compose LangChain 1.0 Python runnables with the production defaults

  • langchain-security-basics

    Harden a LangChain 1.0 chain or LangGraph agent against prompt injection,\

  • langchain-upgrade-migration

    Migrate a LangChain 0.3.x Python codebase to LangChain 1.0 / LangGraph\

  • langchain-webhooks-events

    Dispatch LangChain 1.0 chain/agent events to external systems \u2014\

View source on GitHub tonsofskills.com

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