# agent-council

> Use this tool when you need to create and manage autonomous AI agents, and require a comprehensive toolkit for designing, training, and deploying intelligent systems. The agent-council tool solves problems related to agent development, deployment, and management, accepting inputs such as agent specifications and training data, and producing outputs like trained models and agent performance metrics. It is ideal for use cases involving complex decision-making, multi-agent systems, and autonomous problem-solving.

Canonical page: https://skillsregistry.net/skills/itsahedge-agent-council  
JSON: https://api.skillsregistry.net/v1/skills/itsahedge-agent-council

## Description

Complete toolkit for creating autonomous AI agents and managing.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-08-24

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/itsahedge-agent-council)

## 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": "itsahedge-agent-council"
    }
  }
}
```

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

---
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