# AgentSkills

> AgentSkills — jeremylongworth-source-agentskills. Use this tool when you need to equip AI coding agents with portable skills and templates to streamline coding tasks. It solves problems related to agent configuration and coding efficiency by providing reusable skillsets, presets, and routing templates. With Git integration, it accepts codex skillsets and MCP presets as inputs and outputs customized agent configurations.

Canonical page: https://skillsregistry.net/skills/jeremylongworth-source-agentskills  
JSON: https://api.skillsregistry.net/v1/skills/jeremylongworth-source-agentskills

## Description

Portable Agent Skills, Codex skillsets, MCP presets, and routing templates for AI coding agents.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-23

## Source

- **Source listing:** [GitHub](https://github.com/jeremylongworth-source/AgentSkills)

## 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": "jeremylongworth-source-agentskills"
    }
  }
}
```

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