# confluence-prd-converter

> confluence-prd-converter — hanifalkauni-confluence-prd-converter. Use this tool when you need to convert Confluence Product Requirements Documents (PRDs) into AI-ready Markdown format, preserving key elements like tables, Jira links, and attachments. It solves the problem of incompatible document formats, enabling seamless integration with AI tools like Antigravity, Cursor, and Claude Code. The converter takes Confluence PRD as input and outputs Markdown files, making it ideal for use cases involving git-based workflows and AI model training.

Canonical page: https://skillsregistry.net/skills/hanifalkauni-confluence-prd-converter  
JSON: https://api.skillsregistry.net/v1/skills/hanifalkauni-confluence-prd-converter

## Description

High-fidelity Confluence PRD to AI-ready Markdown converter & MCP Server. Preserves nested tables, Jira lozenges, alerts & attachments for Antigravity, Cursor, Claude Code, Windsurf, Kiro & Continue.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **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/hanifalkauni/confluence-prd-converter)

## 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": "hanifalkauni-confluence-prd-converter"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hanifalkauni-confluence-prd-converter` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hanifalkauni-confluence-prd-converter/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