# Skilder

> Skilder — ai-skilder-skilder. Use this tool when you need to manage and execute skills and MCP tools in a structured and governed manner, enabling version control and composition into roles. It solves problems related to workflow automation, tool integration, and access control, providing a robust interface for inputs and outputs. Ideal for use cases requiring scalable and auditable skill execution, such as production environments and large-scale deployments.

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

## Description

Run skills and MCP tools like production software: versioned, composed into roles, governed.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.10.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.skilder%2Fskilder)

## Use it

MCP endpoint published by the skill: `https://app.skilder.ai/mcp`

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": "ai-skilder-skilder"
    }
  }
}
```

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