Individual skill

agentsop-llamaindex

Operating-system distillation of LlamaIndex — the leading RAG / document-agent framework. Activate when the calling agent must build, debug, harden, or evaluate a Retrieval-Augmented Generation pipeline over unstructured/private data, decide between RAG primitives (Index types, retrievers, query engines, routers, agents), or pick LlamaIndex vs LangChain / Haystack / raw vector store for a coding task. Encodes the 5-layer mental model (Documents → Nodes → Indices → Retrievers → Query Engines / Response Synthesizers), the canonical RAG bootstrap SOP from baseline `VectorStoreIndex` through hybrid + reranker + eval-loop hardening, the official 13-failure-mode checklist, and 5 dilemma cases distilled from docs, GitHub issues, and 2025 production post-mortems.

skills/agentsop-llamaindex/SKILL.md

Read pinned source

Source commit cf4376869e5f23f82404c3021a2a1315dfca318d

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Instructions only
Last checked
Nov 6, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
463
Repository last updated
Oct 24, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# LlamaIndex · SOP

> Third-person analytical view of how LlamaIndex *thinks* about turning private
> documents into a grounded answering system. The skill is for an LLM agent that
> writes / reviews / debugs RAG code — not for an end user reading docs.

---

## 何时激活 (Activation Rules)

Activate this skill when any of the following holds:

1. The user's request involves building, modifying, or debugging a **RAG pipeline** (retrieval over private/unstructured data + LLM synthesis).
2. The user mentions **LlamaIndex** (`from llama_index...`), **LlamaParse**, **LlamaCloud**, or a LlamaIndex-style primitive (`VectorStoreIndex`, `SummaryIndex`, `IngestionPipeline`, `QueryEngine`, `SubQuestionQueryEngine`, `RouterQueryEngine`, `Settings`, `Workflows`).