# skill-depot

> Use this tool when you need to efficiently retrieve specific skills from a large database, reducing context waste and improving performance. It enables semantic searches and tiered detail levels, allowing AI agents to load only the necessary skills through targeted tool calls. Ideal for applications requiring dynamic skill loading and management, such as task automation and knowledge retrieval systems.

Canonical page: https://skillsregistry.net/skills/ruhal-doshi-skill-depot  
JSON: https://api.skillsregistry.net/v1/skills/ruhal-doshi-skill-depot

## Description

Enables AI agents to semantically search and retrieve relevant skills from a local Markdown skill database, reducing context waste by loading only needed skills through tiered detail levels and tool calls.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yf7fen0wf5)
- **Repository:** <https://github.com/Ruhal-Doshi/skill-depot>

## 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": "ruhal-doshi-skill-depot"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ruhal-doshi-skill-depot` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ruhal-doshi-skill-depot/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