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…
$ npx skills add chujianyun/skills --skill llama-index-wiki -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install chujianyun/skills llama-index-wiki --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/chujianyun/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/llama-index-wiki .claude/skills/llama-index-wiki && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "llama-index-wiki" agent skill from https://github.com/chujianyun/skills/tree/main/skills/llama-index-wiki into .claude/skills/llama-index-wiki/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llama-index-wiki", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/chujianyun/skills/tree/main/skills/llama-index-wikiType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add chujianyun/skills --skill llama-index-wiki -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install chujianyun/skills llama-index-wiki --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chujianyun/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/llama-index-wiki .agents/skills/llama-index-wiki && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "llama-index-wiki" agent skill from https://github.com/chujianyun/skills/tree/main/skills/llama-index-wiki into .agents/skills/llama-index-wiki/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llama-index-wiki", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add chujianyun/skills --skill llama-index-wiki -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install chujianyun/skills llama-index-wiki --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chujianyun/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/llama-index-wiki .cursor/skills/llama-index-wiki && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "llama-index-wiki" agent skill from https://github.com/chujianyun/skills/tree/main/skills/llama-index-wiki into .cursor/skills/llama-index-wiki/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llama-index-wiki", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/chujianyun/skills.git --path skills/llama-index-wiki--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add chujianyun/skills --skill llama-index-wiki -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install chujianyun/skills llama-index-wiki --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chujianyun/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/llama-index-wiki .gemini/skills/llama-index-wiki && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "llama-index-wiki" agent skill from https://github.com/chujianyun/skills/tree/main/skills/llama-index-wiki into .gemini/skills/llama-index-wiki/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llama-index-wiki", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install chujianyun/skills llama-index-wikiInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add chujianyun/skills --skill llama-index-wiki -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/chujianyun/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/llama-index-wiki .github/skills/llama-index-wiki && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "llama-index-wiki" agent skill from https://github.com/chujianyun/skills/tree/main/skills/llama-index-wiki into .github/skills/llama-index-wiki/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llama-index-wiki", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add chujianyun/skills --skill llama-index-wiki -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install chujianyun/skills llama-index-wiki --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chujianyun/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/llama-index-wiki .opencode/skills/llama-index-wiki && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "llama-index-wiki" agent skill from https://github.com/chujianyun/skills/tree/main/skills/llama-index-wiki into .opencode/skills/llama-index-wiki/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llama-index-wiki", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
llama-index-wikiLlamaIndex 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…
Llama Index Wiki is an agent skill from chujianyun/skills. 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 LlamaIndex、llama-index、LlamaParse、VectorStoreIndex、QueryEngine、Retriever、AgentWorkflow 或相关集成用法时使用；纯源码贡献、内部实现审查或与 LlamaIndex 无关的通用 AI 问题不使用。
Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. The skill folder holds 944 other files, including scripts and reference files (for example `README.md`, `agents/openai.yaml` and `references/INDEX.md`).
It sits in AI & LLM Engineering, covering Embeddings. It works with LlamaIndex and Python. The repository describes itself as: WuMing's Claude Skills.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 13b27aa. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Llama Index Wiki loads about 480 tokens when it runs, and up to ~1.3M if it reads all its reference files. Until then it costs about 82 tokens; SKILL.md has 86 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 86 words (~480 tokens).
“使用随 Skill 打包的 LlamaIndex Python 用户文档回答问题。把离线文档作为第一依据；只有文档不足、用户要求核对最新版或问题涉及内部实现时，才补查官方源码仓库。”
SKILL.md and 934 other files (scripts, references) in skills/llama-index-wiki of chujianyun/skills.
Open the folder on GitHubat commit 13b27aa
Llama Index Wiki next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Llama Index Wiki this skillchujianyun/skills | 742 | — | ~480 | Automated safety check: Pass | Custom licence | |
| Sentence Transformers EmbeddingsOrchestra-Research/AI-Research-SKILLs | 13k | 2 repos | ~1.6k | Automated safety check: Pass | MIT | |
| RAG Skillsllama-farm/llamafarm | 836 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| FAISS Similarity SearchOrchestra-Research/AI-Research-SKILLs | 13k | 6 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Upgrade Stripekanchengw/cnllm | 173 | 3 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 |
Orchestra-Research/AI-Research-SKILLs
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.
llama-farm/llamafarm
RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers.
Orchestra-Research/AI-Research-SKILLs
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/AI-Research-SKILLs
Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.
kanchengw/cnllm
Guide for upgrading Stripe API versions and SDKs. An agent skill from kanchengw/cnllm.
google/adk-recipes
Builds a retail product search agent on Google Cloud, from catalog ingestion into BigQuery and Vector Search to ADK scaffolding, evaluation and Cloud Run deployment.
chujianyun/skills
将公开或用户有权访问的 Wiki 完整转换为面向 Agent 的离线知识 Skill，并按原 Wiki 层级保存 Markdown、生成检索索引和逐文档哈希清单，支持无变化不落盘的手动或自动增量更新。当用户要求把 Wiki、文档站或帮助中心做成 Skill、同步已有 Wiki Skill、保持文档目录树或设置 Wiki Skill 自动更新时使用；不用于只摘要单篇网页或绕过登录、付费墙和访问控制。
chujianyun/skills
为照片、身份证、护照、学位证、毕业证、资格证、营业执照等证件或证书扫描件及 PDF 添加本地文字水印。用户提出照片加版权水印、身份证或学历证件添加“仅限某用途”水印、资质文件批量加水印、生成水印预览，或需要保持头像、二维码、印章等区域可辨认时使用。支持 JPEG、PNG、WebP 和 PDF，默认先预览、保留原件并清除图片元数据。不用于去除水印、伪造或篡改证件内容，也不用于仅设计 Logo…
chujianyun/skills
GitHub 源码解读助手。适用于用户提供 GitHub 仓库链接，并希望解读源码、理解原理、分析架构、生成学习报告或快速上手文档时使用。会在 working 目录下生成源码解读和快速上手两份文档。默认先交付初稿，不自动复查；如果用户明确同意，再安排后续复查。不适用于仅克隆仓库或只要一句简介的场景。
chujianyun/skills
论文解读助手。适用于用户发送 arXiv 论文链接，并希望下载论文、解读论文、生成读书笔记、做论文拆解或输出详细报告时使用。会在工作目录创建论文文件夹、下载 PDF 与 TeX Source（如有）、生成中文 Markdown 报告。默认先交付初稿，不自动复查；如果用户明确同意，再安排后续复查。不适用于只要简短推荐语的情况。
chujianyun/skills
千问AI平台（Qianwen AI Platform / DashScope）官方文档离线知识库，用于检索并回答模型选择、API Key、OpenAI 兼容接口、DashScope SDK、文本与多模态生成、图像/视频/语音、Realtime API、Embedding、Reranking、Function Calling、MCP、批量调用、计费、Token Plan、API/SDK/CLI…
chujianyun/skills
千问办公（QwenWork）官方文档 Wiki，用于查询网页端和桌面端使用、安装、工作台、技能与连接器、定时任务、IM 频道、企业管理及排障；也用于定位企业管理 API 文档。不用于千问AI平台、百炼或 DashScope 模型 API 接入，也不因普通办公任务而触发。
Works with
Categories
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…. Llama Index Wiki is an agent skill from chujianyun/skills.
Llama Index Wiki fits situations like: tasks that involve Embeddings.
Run `npx skills add chujianyun/skills --skill llama-index-wiki -a claude-code`. Or copy the skill folder (skills/llama-index-wiki in chujianyun/skills) into .claude/skills/llama-index-wiki in your project. Claude Code loads it when a task matches its description.
Run `npx skills add chujianyun/skills --skill llama-index-wiki -a codex`. Or copy the skill folder (skills/llama-index-wiki in chujianyun/skills) into .agents/skills/llama-index-wiki in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add chujianyun/skills --skill llama-index-wiki -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/llama-index-wiki, .gemini/skills/llama-index-wiki, .github/skills/llama-index-wiki and .opencode/skills/llama-index-wiki in your project.
Going by SKILL.md and its folder, Llama Index Wiki needs the command-line tools its instructions call (python3). Our summary lists: Python 3.
SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Llama Index Wiki has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 480 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.3M tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Llama Index Wiki: Sentence Transformers Embeddings (Orchestra-Research/AI-Research-SKILLs, 13k stars), RAG Skills (llama-farm/llamafarm, 836 stars), FAISS Similarity Search (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
chujianyun (a GitHub user) maintains it in chujianyun/skills, which has 742 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on October 9, 2026.
Source: chujianyun/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
