# Local Skills

> Use this tool when you need to leverage expert skills and knowledge in your local filesystem to enhance the capabilities of LLM or AI agents. It solves the problem of repetitive prompt writing by allowing you to create and reuse structured prompts across various MCP-compatible clients. This tool takes in SKILL.md files with YAML frontmatter as input and provides instant updates and multi-directory skill aggregation as output.

Canonical page: https://skillsregistry.net/skills/kdpa-local-skills  
JSON: https://api.skillsregistry.net/v1/skills/kdpa-local-skills

## Description

Universal MCP server enabling any LLM or AI agent to utilize expert skills from your local filesystem. Skills are structured prompts written once and reused across Claude Code, Claude Desktop, Cline, Continue.dev, or any MCP-compatible client. Features lazy loading (only ~50 tokens per skill initially), hot reload for instant updates, and multi-directory skill aggregation. Skills use portable SKILL.md format with YAML frontmatter.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kdpa-local-skills)
- **Repository:** <https://github.com/kdpa-llc/local-skills-mcp>

## 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": "kdpa-local-skills"
    }
  }
}
```

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