# prolog-agent-toolkit

> prolog-agent-toolkit — dougransom-prolog-agent-toolkit. Use this tool when you need to develop and deploy intelligent agents with reusable skills, leveraging neurosymbolic AI and safe multi-engine execution. It solves problems in agent development, such as integrating multiple Prolog engines and ensuring secure execution, through its MCP Server Pattern and Scryer, SWI, Trealla, and Tau engines. Ideal for use cases requiring flexible, modular, and reliable agent frameworks, with git integration for version control.

Canonical page: https://skillsregistry.net/skills/dougransom-prolog-agent-toolkit  
JSON: https://api.skillsregistry.net/v1/skills/dougransom-prolog-agent-toolkit

## Description

Prolog Agent Framework, Reusable Agent Skills, MCP Server Pattern, Neurosymbolic AI, and Safe Multi-Engine Execution (Scryer, SWI, Trealla, Tau).

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/dougransom/prolog-agent-toolkit)

## 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": "dougransom-prolog-agent-toolkit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dougransom-prolog-agent-toolkit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dougransom-prolog-agent-toolkit/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