# burgess

> burgess — sergiparpal-burgess. Use this tool when you need to transform conceptual text into structured knowledge graphs, solving problems of data organization and relationship visualization. It takes Markdown or plain text as input and produces source-anchored graphs as output, enabling querying, visualization, and validation of relationships. Ideal for use cases requiring provenance tracking, failure analysis, and hypothesis management, particularly in git-based workflows.

Canonical page: https://skillsregistry.net/skills/sergiparpal-burgess  
JSON: https://api.skillsregistry.net/v1/skills/sergiparpal-burgess

## Description

Claude Code plugin that turns conceptual Markdown or plain text into source-anchored knowledge graphs. Build, ground, query, visualize, and challenge relationships with provenance, retained failures, and clearly separated unverified hypotheses.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/sergiparpal/burgess)

## 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": "sergiparpal-burgess"
    }
  }
}
```

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