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AI & LLM Engineering · LangGraph
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 97 | 97.AWS Harness Build a new AI agent on AWS and deploy it easily, OR wrap and deploy an agent you already have, using the Amazon Bedrock AgentCore harness. | hoodini/ | 282 | — | ~4.2k | Automated safety check: Notes | No licence | 3 mo ago |
| 98 | 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/ | 2.8k | — | ~4.4k | Automated safety check: Pass | MIT | yesterday |
| 99 | 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/ | 2.8k | — | ~3.7k | Automated safety check: Pass | MIT | yesterday |
| 100 | Produce a reproducible, sanitized diagnostic bundle for a LangChain / LangGraph incident — environment snapshot, version manifest, filtered astreamevents(v2) transcript, propagating callback stack… | jeremylongshore/ | 2.8k | — | ~4.6k | Automated safety check: Pass | MIT | yesterday |
| 101 | Build a LangGraph 1.0 Deep Agent — planner + subagents + virtual filesystem + reflection loop — without the state-growth and prompt-inheritance traps. | jeremylongshore/ | 2.8k | — | ~4.9k | Automated safety check: Pass | MIT | yesterday |
| 102 | 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/ | 2.8k | — | ~3.9k | Automated safety check: Notes | MIT | yesterday |
| 103 | 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/ | 2.8k | — | ~4k | Automated safety check: Pass | MIT | yesterday |
| 104 | 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/ | 2.8k | — | ~3.7k | Automated safety check: Pass | MIT | yesterday |
| 105 | Triage LangChain 1.0 / LangGraph 1.0 production incidents — LLM-specific SLOs, provider outage runbook, latency spike decision tree, cost-overrun response, agent loop containment. | jeremylongshore/ | 2.8k | — | ~3.8k | Automated safety check: Pass | MIT | yesterday |
| 106 | Build a correct LangGraph 1.0 ReAct agent with createreactagent — typed tools, error propagation, recursion caps, and stop conditions that actually stop. | jeremylongshore/ | 2.8k | — | ~3.7k | Automated safety check: Pass | MIT | yesterday |
| 107 | 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/ | 2.8k | — | ~3.4k | Automated safety check: Pass | MIT | yesterday |
| 108 | Persist LangGraph agent state correctly with MemorySaver and PostgresSaver — threadid discipline, JSON-serializable state rules, time-travel, schema migration. | jeremylongshore/ | 2.8k | — | ~3.9k | Automated safety check: Pass | MIT | yesterday |
| 109 | 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/ | 2.8k | — | ~4k | Automated safety check: Pass | MIT | yesterday |
| 110 | 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/ | 2.8k | — | ~4k | Automated safety check: Pass | MIT | yesterday |
| 111 | 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/ | 2.8k | — | ~4.1k | Automated safety check: Pass | MIT | yesterday |
| 112 | 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/ | 2.8k | — | ~4.1k | Automated safety check: Pass | MIT | yesterday |
| 113 | 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/ | 2.8k | — | ~3.9k | Automated safety check: Notes | MIT | yesterday |
| 114 | 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/ | 2.8k | — | ~3.6k | Automated safety check: Pass | MIT | yesterday |
| 115 | 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/ | 2.8k | — | ~3.5k | Automated safety check: Pass | MIT | yesterday |
| 116 | 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/ | 2.8k | — | ~4.7k | Automated safety check: Notes | MIT | yesterday |
| 117 | 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/ | 2.8k | — | ~3.3k | Automated safety check: Pass | MIT | yesterday |
| 118 | Dispatch LangChain 1.0 chain/agent events to external systems — webhooks, Kafka, Redis Streams, SNS — via async fire-and-forget callbacks, subgraph-aware wiring, and HMAC-signed delivery with… | jeremylongshore/ | 2.8k | — | ~3.9k | Automated safety check: Pass | MIT | yesterday |
| 119 | 119.Langgraph Docs A skill your agent uses for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance. | Microck/ | 404 | 1 repo | ~264 | Automated safety check: Pass | Unknown | 1 mo ago |
| 120 | Automate molecular simulations with the ChemGraph agentic framework | wentorai/ | 298 | 1 repo | ~894 | Automated safety check: Pass | MIT | 3 mo ago |
| 121 | 121.Langchain Build LLM applications with LangChain and LangGraph. An agent skill from hoodini/ai-agents-skills. | hoodini/ | 282 | — | ~1.2k | Automated safety check: Pass | No licence | 3 mo ago |
| 122 | Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. | aiskillstore/ | 433 | 3 repos | ~7.5k | Automated safety check: Pass | No licence | yesterday |
| 123 | 123.Langgraph LangGraph 1.x (LTS) Python workflow patterns for state management, delta channels, resilience (node timeouts, error handlers, graceful drain), routing, parallel execution, supervisor-worker, tool… | yonatangross/ | 292 | — | ~4.2k | Automated safety check: Pass | MIT | yesterday |
| 124 | 124.Langgraph A skill your agent uses when building or debugging LangGraph workflows — designing state graphs, adding conditional routing, wiring checkpointers, streaming tokens, implementing human-in-the-loop… | kid-sid/ | 190 | — | ~3.4k | Automated safety check: Pass | MIT | 2 mo ago |
| 125 | 125.Langchain Build LLM applications with LangChain. An agent skill from magnus919/agent-skills. | magnus919/ | 115 | — | ~2.3k | Automated safety check: Pass | MIT | yesterday |
| 126 | 126.Pydanticai Build type-safe AI agents and graph-based workflows with PydanticAI and PydanticGraph. | magnus919/ | 115 | — | ~4.3k | Automated safety check: Pass | MIT | yesterday |
| 127 | 127.Dreams Agentic materials discovery and DFT simulation framework using ASE, Quantum ESPRESSO, and Claude LLMs via LangGraph. | lamm-mit/ | 246 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 128 | Searches and retrieves MLflow documentation from the official docs site. | Kilo-Org/ | 190 | — | ~666 | Automated safety check: Pass | Apache-2.0 | 13 days ago |