# skills

> skills — skilder-ai-skills. Use this tool when you need to centralize and manage plugins, skills, and tools for AI agents, streamlining their development and deployment. It solves problems of fragmentation and version control, providing a unified interface for building, sharing, and governing AI capabilities. With git capabilities, it integrates seamlessly into existing development workflows, making it ideal for teams looking to efficiently manage their AI agents' skills and tools.

Canonical page: https://skillsregistry.net/skills/skilder-ai-skills  
JSON: https://api.skillsregistry.net/v1/skills/skilder-ai-skills

## Description

One place to build, share, and govern the plugins, skills and tools your AI agents use at work.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/skilder-ai/skills)

## 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": "skilder-ai-skills"
    }
  }
}
```

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