# zeroapi

> Use this tool when you need to efficiently route tasks to the most suitable AI model across multiple paid subscriptions. Zeroapi solves the problem of manually managing and selecting the best AI model for specific tasks, streamlining workflows and optimizing results. It takes in tasks as input and outputs the response from the chosen AI model, such as Claude, ChatGPT, or Codex, via the OpenClaw interface.

Canonical page: https://skillsregistry.net/skills/dorukardahan-zeroapi  
JSON: https://api.skillsregistry.net/v1/skills/dorukardahan-zeroapi

## Description

Route tasks to the best AI model across paid subscriptions (Claude, ChatGPT, Codex, Gemini, Kimi) via OpenClaw.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** productivity
- **Updated:** 2026-05-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/dorukardahan-zeroapi)

## 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": "dorukardahan-zeroapi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dorukardahan-zeroapi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dorukardahan-zeroapi/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