# Human4AI

> Human4AI — ai-human4ai-collaboration. Use this tool when you need to generate synthetic support cases and collect agent feedback to improve AI performance. It solves problems related to AI training data and feedback loops, providing a platform for anonymous reads and scoped writes. Ideal for use cases requiring human-reviewed and validated AI training data, such as chatbot development and virtual assistant refinement.

Canonical page: https://skillsregistry.net/skills/ai-human4ai-collaboration  
JSON: https://api.skillsregistry.net/v1/skills/ai-human4ai-collaboration

## Description

Synthetic support cases and owner-reviewed Agent feedback. Anonymous reads; scoped writes.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.2.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-06

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.human4ai%2Fcollaboration)

## Use it

MCP endpoint published by the skill: `https://human4ai.ai/mcp`

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": "ai-human4ai-collaboration"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-human4ai-collaboration` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-human4ai-collaboration/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