# AnnealBridge

> AnnealBridge — thetsungying-annealbridge. Use this tool when you need to optimize complex problems using AI agents, and require a middleware solution to describe the problem as JSON and receive verified, ranked solutions. AnnealBridge provides an interface for inputting problem descriptions and outputs optimized solutions over MCP, CLI, or Python. Ideal for use cases where optimization and verification are crucial, such as resource allocation or scheduling tasks.

Canonical page: https://skillsregistry.net/skills/thetsungying-annealbridge  
JSON: https://api.skillsregistry.net/v1/skills/thetsungying-annealbridge

## Description

Optimization middleware for AI agents — describe the problem as JSON, get verified, ranked solutions over MCP, CLI or Python.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/TheTsungYing/AnnealBridge)

## 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": "thetsungying-annealbridge"
    }
  }
}
```

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