LangChain · For developers

Scaffold a minimal local Deep Agent in TypeScript by following the official quickstart, using provider-native web search instead of Tavily.

langchain-ai/langchain-skills

Scaffold a minimal local LangGraph agent in Python by following the official quickstart.

langchain-ai/langchain-skills

Scaffold a minimal local LangGraph agent in TypeScript by following the official quickstart.

langchain-ai/langchain-skills

Re-ingest-correctness SOP for production RAG. An agent skill from agentsope/SkillAlchemy.

agentsope/SkillAlchemy

Operating-system distillation of LlamaIndex — the leading RAG / document-agent framework.

agentsope/SkillAlchemy

Security-first SOP for multi-tenant RAG systems. An agent skill from agentsope/SkillAlchemy.

agentsope/SkillAlchemy

Tool skill — the first move in any LM-debugging session: dump the actual rendered prompt the framework sent to the model, before changing anything else.

agentsope/SkillAlchemy

Build and deploy AI agents with CloudBase Agent SDK (TypeScript & Python).

TencentCloudBase/CloudBase-AI-Toolkit

Scaffold a minimal local LangChain agent in Python by following the official quickstart.

langchain-ai/langchain-skills

Scaffold a minimal local LangChain agent in TypeScript by following the official quickstart.

langchain-ai/langchain-skills

Process open LangChain docs integration PRs against the hosted-guide featuring policy (50K monthly downloads or maintainer feature override).

langchain-ai/docs

Check that a code sample, API signature, default, or behavior claim in the docs is actually true, by running it or reading the product source.

langchain-ai/docs

Enhancement overlay for multi-agent / tool-using coder agents.

agentsope/SkillAlchemy

Setup Sentry AI Agent Monitoring in any project. An agent skill from getsentry/sentry-for-ai.

getsentry/sentry-for-ai

Decision protocol for wrapping a REST / GraphQL / RPC API as a tool an LLM agent can call.

agentsope/SkillAlchemy

Enhancement-overlay decision protocol for STREAMING the output of long-running LLM / agent runs from the backend, not just wiring a typing animation in the UI.

agentsope/SkillAlchemy

Tools are how AI agents interact with the world. An agent skill from aiskillstore/marketplace.

aiskillstore/marketplace

A production-ready Python AI Agent engine using LangChain. An agent skill from kennyzir/7deer_skills.

kennyzir/7deer_skills

Instrument an application with Sentry — detect the platform, install and initialize the SDK if needed, and wire up any signal — error monitoring, tracing/performance, logging, metrics, profiling…

getsentry/sentry-for-ai

Ingests unstructured and semi-structured documents into Neo4j as a knowledge graph.

neo4j-contrib/neo4j-skills

Build GraphRAG retrieval pipelines on Neo4j using the neo4j-graphrag Python package (v1.22.0+).

neo4j-contrib/neo4j-skills

Wire LangChain 1.0 / LangGraph 1.0 tests into a GitHub Actions pipeline — unit tests with FakeListChatModel, VCR-gated integration tests, warning-filter policy, and eval-regression merge gates.

jeremylongshore/tons-of-skills-marketplace

Paste-match catalog of 14 real LangChain 1.0 / LangGraph 1.0 exceptions with named causes and named fixes, plus a triage decision tree.

jeremylongshore/tons-of-skills-marketplace

Works correctly with LangChain 1.0's typed content blocks on AIMessage.content — text, tooluse, image, thinking, document — across Claude, GPT-4o, and Gemini, including multi-modal composition and…

jeremylongshore/tons-of-skills-marketplace

Load and chunk documents for LangChain 1.0 RAG pipelines correctly — language-aware splitters, table-safe PDF loaders, Cloudflare-compatible web loaders, chunk-boundary strategies that survive…

jeremylongshore/tons-of-skills-marketplace

Produce a reproducible, sanitized diagnostic bundle for a LangChain / LangGraph incident — environment snapshot, version manifest, filtered astreamevents(v2) transcript, propagating callback stack…

jeremylongshore/tons-of-skills-marketplace

Build a LangGraph 1.0 Deep Agent — planner + subagents + virtual filesystem + reflection loop — without the state-growth and prompt-inheritance traps.

jeremylongshore/tons-of-skills-marketplace

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…

jeremylongshore/tons-of-skills-marketplace

Build and query vector stores with LangChain 1.0 without getting burned by flipped score semantics, embedding-dim mismatches, reranker quirks, and chunk-splitter bugs.

jeremylongshore/tons-of-skills-marketplace

Enforce tenant isolation and role-based access across LangChain 1.0 chains and LangGraph 1.0 agents — per-request retriever construction, tenant-scoped rate limits, role-scoped tool allowlists, and…

jeremylongshore/tons-of-skills-marketplace

Build reproducible evaluation pipelines for LangChain 1.0 chains and LangGraph 1.0 agents — golden datasets, LangSmith evaluate(), ragas RAG metrics, deepeval LLM-as-judge, agent trajectory…

jeremylongshore/tons-of-skills-marketplace

Build a correct LangGraph 1.0 ReAct agent with createreactagent — typed tools, error propagation, recursion caps, and stop conditions that actually stop.

jeremylongshore/tons-of-skills-marketplace

Build a correct LangGraph 1.0 StateGraph — typed TypedDict state with reducers, nodes, edges, compile, and recursion budgets — without hitting the silent-termination and state-replacement traps.

jeremylongshore/tons-of-skills-marketplace

Persist LangGraph agent state correctly with MemorySaver and PostgresSaver — threadid discipline, JSON-serializable state rules, time-travel, schema migration.

jeremylongshore/tons-of-skills-marketplace

Build LangGraph 1.0 human-in-the-loop approval flows with interruptbefore / interruptafter and Command(resume=...) — JSON-serializable state, clean resume semantics, and UI wiring for approval…

jeremylongshore/tons-of-skills-marketplace

Pick the correct LangGraph 1.0 streammode ("messages" vs "updates" vs "values"), wire it into SSE or WebSocket without proxy-buffering gotchas, and filter astreamevents(v2) server-side before…

jeremylongshore/tons-of-skills-marketplace

Compose LangGraph 1.0 subgraphs correctly — shared state key propagation, Send / Command(graph=...) dispatch, callback scoping, per-subgraph recursion budgets, and testing each subgraph in isolation.

jeremylongshore/tons-of-skills-marketplace

Build a fast, deterministic local test loop for LangChain 1.0 / LangGraph 1.0 — FakeListChatModel fixtures, pytest config, VCR cassettes with key redaction, warning-filter policy.

jeremylongshore/tons-of-skills-marketplace

Invoke Claude, GPT-4o, and Gemini through LangChain 1.0 without tripping on the content-block, token-accounting, and structured-output quirks that silently break production code.

jeremylongshore/tons-of-skills-marketplace

Build reliable dev / staging / prod isolation for LangChain 1.0 services — Pydantic Settings + SecretStr, cloud Secret Manager in prod, per-env prompt and model version pinning, env-specific…

jeremylongshore/tons-of-skills-marketplace

Wire LangSmith tracing and custom metric callbacks into a LangChain 1.0 chain or LangGraph 1.0 agent correctly — env-var spelling, subgraph propagation, per-tenant dimensions, cost and latency…

jeremylongshore/tons-of-skills-marketplace

Wire LangChain 1.0 / LangGraph 1.0 traces into an OpenTelemetry-native backend (Jaeger, Honeycomb, Grafana Tempo, Datadog) with LLM-specific SLOs, safe prompt-content policy, and subgraph-aware span…

jeremylongshore/tons-of-skills-marketplace

Tune LangChain 1.0 / LangGraph 1.0 Python chains and agents for throughput, latency, and cost — streaming modes, explicit batch concurrency, semantic plus exact caches, persistent message history…

jeremylongshore/tons-of-skills-marketplace

Manage LangChain 1.0 prompts like code — LangSmith prompt hub versioning, XML-tag conventions for Claude, few-shot example selection, discriminated-union extraction schemas, and A/B test wiring.

jeremylongshore/tons-of-skills-marketplace

Rate-limit LangChain 1.0 calls correctly across multi-worker deployments — Redis-backed limiters, asyncio.Semaphore, narrow exception whitelists, and provider-specific throttle handling.

jeremylongshore/tons-of-skills-marketplace

A reference layered architecture for production LangChain 1.0 / LangGraph 1.0 services — LLM factory with version-safe defaults, chain/graph registry, retriever and tool DI, Pydantic-validated…

jeremylongshore/tons-of-skills-marketplace

Compose LangChain 1.0 Python runnables with the production defaults the docs do not warn about: parallel batching, narrow fallbacks, and brace-safe prompts.

jeremylongshore/tons-of-skills-marketplace

Migrate a LangChain 0.3.x Python codebase to LangChain 1.0 / LangGraph 1.0 without breaking production — named breaking changes, codemod patterns, and a phased rollout.

jeremylongshore/tons-of-skills-marketplace