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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 97 | Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. | wshobson/ | 40k | — | ~2k | Automated safety check: Pass | MIT | 6 days ago |
| 98 | Operating SOP for DSPy (Stanford NLP) — the declarative framework for "programming, not prompting" language models. | agentsope/ | 436 | — | ~7k | Automated safety check: Pass | MIT | 2 days ago |
| 99 | 99.Docs Guide Fetch and explain official documentation for any library, framework, API, or service using an llms.txt-first strategy — triggers on "How do I…", "What is…", "How does X work", "Best practice for…"… | fivetaku/ | 128 | — | ~3.5k | Automated safety check: Pass | MIT | 1 mo ago |
| 100 | 100.Model Serving LLM and ML model deployment for inference. An agent skill from ancoleman/ai-design-components. | ancoleman/ | 525 | — | ~3.4k | Automated safety check: Pass | MIT | 10 mo ago |
| 101 | Expert in designing and building autonomous AI agents. An agent skill from omer-metin/skills-for-antigravity. | omer-metin/ | 163 | — | ~558 | Automated safety check: Pass | Apache-2.0 | 8 mo ago |
| 102 | Design and optimize production-grade multi-agent systems with LangGraph, LangChain, and DeepAgents for complex AI workflows. | sickn33/ | 47k | 1 repo | ~3.1k | Automated safety check: Pass | MIT | 2 days ago |
| 103 | 103.N8n Agents Design n8n AI agents, chains, classifiers, extractors, tool calling, memory, RAG, structured output, and human-review flows. | sickn33/ | 47k | 1 repo | ~6k | Automated safety check: Pass | MIT | 2 days ago |
| 104 | 104.Sap Cloud SDK AI Integrates SAP Cloud SDK for AI into JavaScript/TypeScript and Java applications. | secondsky/ | 462 | — | ~3.2k | Automated safety check: Pass | GPL-3.0 | 5 days ago |
| 105 | Integrates the SAP Cloud SDK for AI for Python (sap-ai-sdk-gen, formerly generative-ai-hub-sdk) into Python applications. | secondsky/ | 462 | — | ~3.8k | Automated safety check: Pass | GPL-3.0 | 5 days ago |
| 106 | You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph. | aiskillstore/ | 433 | 7 repos | ~1.9k | Automated safety check: Pass | No licence | yesterday |
| 107 | Neutral, framework-agnostic decision tree for project kickoff: "which agent / RAG / LLM framework should I reach for?" Synthesizes the ecosystem sections of 7 landmark-project SOPs (LangGraph… | agentsope/ | 436 | — | ~5.8k | Automated safety check: Pass | MIT | 2 days ago |
| 108 | Build LangChain (Python) tools using Claude Code's fail-closed design pattern — unified name/schema/security/execution in one class, with automatic three-layer execution (validate → permission →… | simbajigege/ | 183 | — | ~2.3k | Automated safety check: Pass | MIT | 1 mo ago |
| 109 | Document new or changed docs-team tooling on the Notion tooling pages. | langchain-ai/ | 426 | — | ~1.7k | Automated safety check: Pass | MIT | yesterday |
| 110 | Scaffold a minimal local Deep Agent in Python by following the official quickstart, using provider-native web search instead of Tavily. | langchain-ai/ | 1.3k | — | ~549 | Automated safety check: Notes | MIT | 2 days ago |
| 111 | Scaffold a minimal local Deep Agent in TypeScript by following the official quickstart, using provider-native web search instead of Tavily. | langchain-ai/ | 1.3k | — | ~548 | Automated safety check: Notes | MIT | 2 days ago |
| 112 | Scaffold a minimal local LangGraph agent in Python by following the official quickstart. | langchain-ai/ | 1.3k | — | ~454 | Automated safety check: Notes | MIT | 2 days ago |
| 113 | Scaffold a minimal local LangGraph agent in TypeScript by following the official quickstart. | langchain-ai/ | 1.3k | — | ~455 | Automated safety check: Notes | MIT | 2 days ago |
| 114 | Re-ingest-correctness SOP for production RAG. An agent skill from agentsope/SkillAlchemy. | agentsope/ | 436 | — | ~6.8k | Automated safety check: Pass | MIT | 2 days ago |
| 115 | Operating-system distillation of LlamaIndex — the leading RAG / document-agent framework. | agentsope/ | 436 | — | ~6.4k | Automated safety check: Pass | MIT | 2 days ago |
| 116 | Security-first SOP for multi-tenant RAG systems. An agent skill from agentsope/SkillAlchemy. | agentsope/ | 436 | — | ~9.8k | Automated safety check: Pass | MIT | 2 days ago |
| 117 | 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/ | 436 | — | ~8.4k | Automated safety check: Pass | MIT | 2 days ago |
| 118 | 118.Cloudbase Agent Build and deploy AI agents with CloudBase Agent SDK (TypeScript & Python). | TencentCloudBase/ | 1.1k | 2 repos | ~479 | Automated safety check: Pass | MIT | yesterday |
| 119 | Scaffold a minimal local LangChain agent in Python by following the official quickstart. | langchain-ai/ | 1.3k | — | ~368 | Automated safety check: Notes | MIT | 2 days ago |
| 120 | Scaffold a minimal local LangChain agent in TypeScript by following the official quickstart. | langchain-ai/ | 1.3k | — | ~377 | Automated safety check: Notes | MIT | 2 days ago |
| 121 | Process open LangChain docs integration PRs against the hosted-guide featuring policy (50K monthly downloads or maintainer feature override). | langchain-ai/ | 426 | — | ~1.7k | Automated safety check: Pass | MIT | yesterday |
| 122 | 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/ | 426 | — | ~1.6k | Automated safety check: Pass | MIT | yesterday |
| 123 | Enhancement overlay for multi-agent / tool-using coder agents. | agentsope/ | 436 | — | ~4.5k | Automated safety check: Pass | MIT | 2 days ago |
| 124 | Setup Sentry AI Agent Monitoring in any project. An agent skill from getsentry/sentry-for-ai. | getsentry/ | 268 | — | ~5.5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 125 | Decision protocol for wrapping a REST / GraphQL / RPC API as a tool an LLM agent can call. | agentsope/ | 436 | — | ~5.9k | Automated safety check: Pass | MIT | 2 days ago |
| 126 | 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/ | 436 | — | ~5.3k | Automated safety check: Pass | MIT | 2 days ago |
| 127 | Tools are how AI agents interact with the world. An agent skill from aiskillstore/marketplace. | aiskillstore/ | 433 | 3 repos | ~4.8k | Automated safety check: Pass | No licence | yesterday |
| 128 | A production-ready Python AI Agent engine using LangChain. An agent skill from kennyzir/7deer_skills. | kennyzir/ | 322 | — | ~423 | Automated safety check: Notes | MIT | 12 days ago |
| 129 | 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/ | 268 | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 130 | Ingests unstructured and semi-structured documents into Neo4j as a knowledge graph. | neo4j-contrib/ | 114 | — | ~5.4k | Automated safety check: Notes | MIT | yesterday |
| 131 | Build GraphRAG retrieval pipelines on Neo4j using the neo4j-graphrag Python package (v1.22.0+). | neo4j-contrib/ | 114 | — | ~4.2k | Automated safety check: Notes | MIT | yesterday |
| 132 | 132.Data Specialist 提供数据库设计、优化、数据工程和数据分析能力。当需要处理数据库操作、数据管道或数据分析时使用. An agent skill from Prorise-cool/Claude-Code-Multi-Agent. | Prorise-cool/ | 306 | — | ~1k | Automated safety check: Pass | No licence | 25 days ago |
| 133 | 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 |
| 134 | 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 |
| 135 | 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/ | 2.8k | — | ~3.6k | Automated safety check: Pass | MIT | yesterday |
| 136 | Compose LangChain 1.0 chains with RunnableParallel, RunnableBranch, RunnablePassthrough.assign, and RunnableLambda — correct input/output shapes, debug probes, and typed composition that catches… | jeremylongshore/ | 2.8k | — | ~4.3k | Automated safety check: Pass | MIT | yesterday |
| 137 | Control LangChain 1.0 AI spend with accurate streaming token accounting, model tiering, provider-specific cache hit tuning, per-tenant budgets, and retry dedup. | jeremylongshore/ | 2.8k | — | ~4.9k | Automated safety check: Pass | MIT | yesterday |
| 138 | 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/ | 2.8k | — | ~4.1k | Automated safety check: Pass | MIT | yesterday |
| 139 | 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 |
| 140 | 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 |
| 141 | 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 |
| 142 | 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/ | 2.8k | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 143 | 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 |
| 144 | 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 |