AI model or service
LlamaIndex agent skills for Claude Code, Codex and other agents.
- skills
- 39
- official
- 1
- Type
- AI model or service
- Website
- llamaindex.ai
- Official GitHub
- run-llama
LlamaIndex skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
Official (1 skill)
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Guides designing and building an official Apify integration for a company's product: workflow-automation apps, AI agent plugins, AI framework packages or direct API clients. | apify/ | 2.4k | — | ~3.1k | Automated safety check: Pass | No licence | today |
Community
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 2 | Adds persistent memory to AI apps with the Mem0 Python and TypeScript SDKs: store, search, update and delete user memories, with framework integrations. | mem0ai/ | 67k | 1 repo | ~1.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 3 | Sets up FAISS for fast nearest-neighbor search over large collections of dense vectors, choosing between Flat, IVF, HNSW and product quantization indexes. | Orchestra-Research/ | 13k | 7 repos | ~1.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 4 | Guides Stripe integration decisions — API selection (Checkout Sessions vs PaymentIntents), Connect platform setup (Accounts v2, controller properties), billing/subscriptions, Treasury financial… | kanchengw/ | 175 | 3 repos | ~925 | Automated safety check: Pass | Apache-2.0 | 3 mo ago |
| 5 | Guide for upgrading Stripe API versions and SDKs. An agent skill from kanchengw/cnllm. | kanchengw/ | 175 | 4 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | 3 mo ago |
| 6 | Build production-ready AI agent backends using the CloudBase Agent Python SDK — create agents with LangGraph/CrewAI/LlamaIndex, serve them via FastAPI with AG-UI protocol streaming +… | TencentCloudBase/ | 1.1k | 2 repos | ~2.9k | Automated safety check: Notes | MIT | yesterday |
| 7 | RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers. | llama-farm/ | 837 | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | 3 mo ago |
| 8 | Shows how to use Pinecone, a managed vector database, for production RAG, semantic search and recommendations: indexes, upserts, queries, filters and namespaces. | Orchestra-Research/ | 13k | 6 repos | ~2k | Automated safety check: Pass | MIT | 3 mo ago |
| 9 | LlamaIndex 官方用户文档离线知识库,用于检索并回答 LlamaIndex Python 框架的安装、RAG、数据加载、索引、检索与查询、Agent、Workflow、模型、Embedding、向量库、评估、可观测性、部署、LlamaCloud 和 LlamaParse 等问题,也可生成有文档依据的示例代码与排障建议。当用户提到… | chujianyun/ | 740 | — | ~480 | Automated safety check: Pass | Unknown | 12 days ago |
| 10 | Generates text embeddings locally with the sentence-transformers library for RAG, semantic search, clustering and similarity, with model picks for general, multilingual and legal text. | Orchestra-Research/ | 13k | 3 repos | ~1.6k | Automated safety check: Pass | MIT | 3 mo ago |
| 11 | 11.Llamaindex Data framework for building LLM applications with RAG. An agent skill from Orchestra-Research/AI-Research-SKILLs. | Orchestra-Research/ | 13k | 2 repos | ~3.7k | Automated safety check: Pass | MIT | 3 mo ago |
| 12 | Sets up Arize Phoenix to trace, evaluate and monitor LLM applications, with instrumentation for OpenAI, LangChain and LlamaIndex and a self-hosted server. | Orchestra-Research/ | 13k | 2 repos | ~2.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 13 | Developer notes for working inside the Opik Python SDK: layered design, async versus blocking calls, integration styles, batching and dependency rules. | comet-ml/ | 22k | — | ~684 | Automated safety check: Pass | Apache-2.0 | today |
| 14 | UiPath Coded Functions — deterministic Python or TypeScript/JavaScript units built with the uip function CLI (new -l py|ts|js, init, serve, run, pack, publish); the functions map in uipath.json… | UiPath/ | 166 | — | ~3.6k | Automated safety check: Notes | MIT | today |
| 15 | Designs multiscale chunking for RAG by embedding small units for retrieval precision and returning larger context for synthesis. | agentsope/ | 457 | — | ~4.9k | Automated safety check: Pass | MIT | 1 mo ago |
| 16 | 16.Langfuse Expert in Langfuse - the open-source LLM observability platform. | davila7/ | 32k | 5 repos | ~1.4k | Automated safety check: Pass | MIT | today |
| 17 | Adds and tunes a reranker stage for RAG using the retrieve-wide, rerank-narrow pattern. | agentsope/ | 457 | — | ~4.9k | Automated safety check: Pass | MIT | 1 mo ago |
| 18 | LLM and ML model deployment for inference. An agent skill from ancoleman/ai-design-components. | ancoleman/ | 526 | 1 repo | ~3.4k | Automated safety check: Pass | MIT | 10 mo ago |
| 19 | 19.Liteparse Parse local document files into LLM-ready content on the daemon itself — PDFs → Markdown / structured JSON (with bounding boxes) / page screenshots via the bundled lit CLI. | Prismer-AI/ | 1.6k | — | ~2.1k | Automated safety check: Pass | MIT | 7 days ago |
| 20 | 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/ | 457 | — | ~5.8k | Automated safety check: Pass | MIT | 1 mo ago |
| 21 | Migrates Airflow projects from airflow-ai-sdk to apache-airflow-providers-common-ai 0.4.0+. | astronomer/ | 450 | — | ~4.7k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 22 | Enhancement-overlay SOP for adding sparse (BM25 / keyword) retrieval alongside dense (embedding) retrieval. | agentsope/ | 457 | — | ~6.5k | Automated safety check: Pass | MIT | 1 mo ago |
| 23 | Re-ingest-correctness SOP for production RAG. An agent skill from agentsope/SkillAlchemy. | agentsope/ | 457 | — | ~6.8k | Automated safety check: Pass | MIT | 1 mo ago |
| 24 | Operating-system distillation of LlamaIndex — the leading RAG / document-agent framework. | agentsope/ | 457 | — | ~6.4k | Automated safety check: Pass | MIT | 1 mo ago |
| 25 | Security-first SOP for multi-tenant RAG systems. An agent skill from agentsope/SkillAlchemy. | agentsope/ | 457 | — | ~9.8k | Automated safety check: Pass | MIT | 1 mo ago |
| 26 | Lifecycle SOP for per-model prompt artifacts — the compiled prompts, instructions, few-shot demos, edit-format pins, and embedding-bound indices that change behavior when the underlying LM, dataset… | agentsope/ | 457 | — | ~8k | Automated safety check: Pass | MIT | 1 mo ago |
| 27 | Build a held-out eval set, run it on every prompt/model change, and block regressions in CI. | agentsope/ | 457 | — | ~6.1k | Automated safety check: Pass | MIT | 1 mo ago |
| 28 | 28.Langfuse Expert in Langfuse - the open-source LLM observability platform. | majiayu000/ | 666 | 3 repos | ~3.1k | Automated safety check: Pass | MIT | today |
| 29 | Ingests unstructured and semi-structured documents into Neo4j as a knowledge graph. | neo4j-contrib/ | 114 | — | ~5.4k | Automated safety check: Notes | MIT | today |
| 30 | Decision protocol for the map-reduce / dynamic fan-out pattern in LM pipelines — "given list L, run f(item) for each item in parallel, then combine". | agentsope/ | 457 | — | ~8.1k | Automated safety check: Pass | MIT | 1 mo ago |
| 31 | 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 | today |
| 32 | 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/ | 305 | — | ~1k | Automated safety check: Pass | No licence | 21 days ago |
| 33 | Authoritative reference for the neo4j-agent-memory Python package — a graph-native memory system for AI agents built on Neo4j — and for the hosted service (NAMS) at memory.neo4jlabs.com. | neo4j-contrib/ | 114 | — | ~5.8k | Automated safety check: Pass | MIT | today |
| 34 | Load local files or raw text into LlamaIndex Documents, split them into metadata-aware nodes, and run ingestion pipelines with cache/docstore controls. | VectorSpaceLab/ | 328 | — | ~931 | Automated safety check: Pass | MIT | 1 mo ago |
| 35 | 35.Rags Use this repo skill for RAGs, a Streamlit app that builds configurable LlamaIndex RAG agents from natural-language setup, data sources, and model settings. | VectorSpaceLab/ | 328 | — | ~1k | Automated safety check: Pass | MIT | 1 mo ago |
| 36 | 36.Llama Cpp Operate, configure, benchmark, and troubleshoot llama.cpp across CPU, Metal, CUDA, HIP/ROCm, Vulkan, SYCL, and hybrid or multi-GPU systems. | magnus919/ | 111 | — | ~2.3k | Automated safety check: Pass | MIT | today |
| 37 | 37.Llamaindex Build LLM applications with the LlamaIndex framework. An agent skill from magnus919/agent-skills. | magnus919/ | 111 | — | ~3k | Automated safety check: Pass | MIT | today |
| 38 | Integrate applications with RouterBase, the OpenAI-compatible model gateway at https://routerbase.com/v1. | aiskillstore/ | 430 | — | ~964 | Automated safety check: Pass | No licence | today |
| 39 | Invoke when: User needs help with LlamaIndex RAG pipelines, index types, query engines, or vector stores. | theneoai/ | 183 | — | ~3.6k | Automated safety check: Pass | MIT | 4 mo ago |
Questions, answered from the data.
What is the best LlamaIndex skill?
Apify Integration Development (official) from apify/agent-skills ranks first of the 39 LlamaIndex skills listed here, with the highest score: its repository has 2.4k GitHub stars, its SKILL.md loads about 3.1k tokens and it passes the automated safety check with no findings. Next come Mem0 Platform SDK and FAISS Similarity Search.
Is there an official LlamaIndex skill?
1 of the 39 LlamaIndex skills are official, published by the vendor's own GitHub organization: Apify Integration Development.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.