# opencode-docs

> Use this tool when you need to access and query local documentation efficiently, solving problems of information retrieval and knowledge management for AI assistants. It scrapes and stores documentation, then searches it locally, providing a seamless interface for querying via MCP. Ideal for use cases where documentation is extensive or frequently updated, and AI agents require rapid access to accurate information.

Canonical page: https://skillsregistry.net/skills/salmenkhelifi1-opencode-docs  
JSON: https://api.skillsregistry.net/v1/skills/salmenkhelifi1-opencode-docs

## Description

Scrapes, stores, and searches documentation locally, enabling AI assistants to access and query documentation via MCP.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jqylix8gp2)
- **Repository:** <https://github.com/salmenkhelifi1/opencode-docs>

## 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": "salmenkhelifi1-opencode-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/salmenkhelifi1-opencode-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/salmenkhelifi1-opencode-docs/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