# ouyang

> Use this tool when you need to implement a local Retrieval-Augmented Generator (RAG) system for agent memory, leveraging ChromaDB and sentence-transformers to enhance knowledge retrieval and generation capabilities. It solves problems related to information storage, retrieval, and generation, providing a robust interface for inputting and outputting relevant data. Ideal for use cases requiring efficient and effective agent memory management, such as conversational AI and knowledge-intensive applications.

Canonical page: https://skillsregistry.net/skills/ttboy-ouyang  
JSON: https://api.skillsregistry.net/v1/skills/ttboy-ouyang

## Description

Local RAG system for agent memory using ChromaDB and sentence-transformers.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-05-18

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/ttboy-ouyang)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ttboy-ouyang"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ttboy-ouyang` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ttboy-ouyang/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt