# cursor-council

> cursor-council — xiaoyaner0201-cursor-council. Use this tool when you need to manage multiple tasks simultaneously and require collaborative decision-making from AI agents. The cursor-council tool enables parallel task execution and facilitates AI council deliberation, solving problems of complex workflow management and collective intelligence. It accepts multiple input tasks and outputs coordinated execution plans and consensus-based decisions.

Canonical page: https://skillsregistry.net/skills/xiaoyaner0201-cursor-council  
JSON: https://api.skillsregistry.net/v1/skills/xiaoyaner0201-cursor-council

## Description

Multi-Cursor orchestration for parallel task execution and AI council deliberation.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/xiaoyaner0201-cursor-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": "xiaoyaner0201-cursor-council"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xiaoyaner0201-cursor-council` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xiaoyaner0201-cursor-council/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