# skillnet

> skillnet — icarus-chen-skillnet. Use this tool when you need to manage and optimize AI agent skills, as it enables searching, downloading, creating, evaluating, and analyzing reusable skills via a unified interface, solving problems related to skill discovery, development, and deployment. It accepts skill queries and parameters as inputs and produces evaluated and analyzed skills as outputs. This tool is ideal for use cases where efficient skill management and reuse are crucial for AI agent development and improvement.

Canonical page: https://skillsregistry.net/skills/icarus-chen-skillnet  
JSON: https://api.skillsregistry.net/v1/skills/icarus-chen-skillnet

## Description

Search, download, create, evaluate, and analyze reusable agent skills via SkillNet.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** search
- **Updated:** 2026-09-25

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/icarus-chen-skillnet)

## 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": "icarus-chen-skillnet"
    }
  }
}
```

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