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17 changes: 17 additions & 0 deletions partner-built/magellan/.claude-plugin/plugin.json
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{
"name": "magellan",
"version": "2.0.0",
"description": "Enterprise knowledge discovery — extracts structured knowledge from code, documents, and transcripts, then builds a shared, queryable knowledge graph with contradictions and open questions as primary output",
"author": {
"name": "Slalom"
},
"license": "Apache-2.0",
"keywords": [
"knowledge-discovery",
"knowledge-graph",
"enterprise",
"architecture",
"due-diligence",
"legacy-systems"
]
}
30 changes: 30 additions & 0 deletions partner-built/magellan/CLAUDE.md
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# CLAUDE.md

Magellan is an enterprise knowledge discovery plugin. It extracts structured
knowledge from collected materials and builds a queryable knowledge graph.

## Commands

- `/magellan` — Run the discovery pipeline or show status
- `/magellan:add <path>` — Add a file or directory
- `/magellan:add --correction "..."` — Record a verbal correction
- `/magellan:ask <question>` — Query the knowledge graph

## Four Principles

1. Every fact traces to a source document. Nothing is invented.
2. Contradictions and open questions are the primary output, not a side effect.
3. Nothing is silently skipped. Every file gets a recorded disposition.
4. The model does the heavy lifting. Humans steer and correct.

## Key Skills

- `skills/file-conventions/` — JSON schemas for all KG file types. Read this
before writing any file to `.magellan/`.
- `skills/ingestion/` — Fact extraction rules and language guides for legacy code.
- `skills/pipeline-review/` — Quality gate criteria. Run after every pipeline step.

## Output Location

All outputs go in `<workspace>/.magellan/`. See the file-conventions skill for
the complete directory layout and JSON schemas.
33 changes: 33 additions & 0 deletions partner-built/magellan/CONNECTORS.md
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# Connectors

Magellan is a **self-contained** knowledge discovery plugin. It does not require
connections to external SaaS tools to function — all knowledge extraction, graph
building, and querying happens locally using the files in your workspace.

## Optional Tool Integrations

While the core pipeline is self-contained, you can optionally connect external tools
to enhance Magellan's workflows:

| Category | Use Case | Example Tools |
|----------|----------|---------------|
| ~~project-tracker~~ | Route open questions to your team as tickets | Jira, Linear, Asana, GitHub Issues |
| ~~chat~~ | Send contradiction summaries to team channels | Slack, Microsoft Teams |
| ~~knowledge-base~~ | Fetch referenced documents from team wikis | Confluence, Notion, Guru |

These integrations are **tool-agnostic** — any MCP server in the category works.
Add the relevant MCP servers to your `.mcp.json` to enable them.

## No Required Connectors

Unlike plugins that depend on external data sources, Magellan works entirely from
local files. Point it at a folder of collected materials (code, documents, transcripts,
diagrams) and it builds the knowledge graph from those files directly.

## System Requirements

Magellan has no system requirements beyond Claude Code. It reads files directly
using Claude's built-in capabilities — no external tools needed.

> **Note:** Claude does not yet natively read DOCX, PPTX, or XLSX files. Until it
> does, convert these to PDF before adding them to your workspace.
191 changes: 191 additions & 0 deletions partner-built/magellan/LICENSE
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83 changes: 83 additions & 0 deletions partner-built/magellan/README.md
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# Magellan

Enterprise knowledge discovery. Point Magellan at a folder of collected materials —
code, documents, meeting transcripts, API specs, diagrams — and it builds a structured,
queryable knowledge graph organized by business domain. Contradictions and open questions
are surfaced as primary outputs, not side effects.

## Quick Start

```bash
claude plugin install magellan@knowledge-work-plugins
```

```
/magellan Run the discovery pipeline
/magellan:add /path/to/document.pdf Add a file
/magellan:add --correction "..." Record a verbal correction
/magellan:add --resolve c_001 "..." Resolve a contradiction
/magellan:add --resolve oq_003 "..." Answer an open question
/magellan:ask How does billing work? Query the knowledge graph
```

## What You Get

```
.magellan/
contradictions_dashboard.md ← Contradictions & open questions (the priority)
contradictions_dashboard.html ← Print-friendly version
onboarding_guide.md ← Briefing for new team members
diagrams/ ← C4 architecture diagrams (Mermaid + PlantUML)

domains/<domain>/
facts/ ← Atomic facts from source documents
entities/ ← One file per knowledge graph entity
relationships.json ← How entities connect within this domain
summary.json ← Plain language domain narrative
contradictions.json ← What disagrees
open_questions.json ← What's unknown
deliverables/ ← Business rules, DDD specs, API specs, contracts
```

## How It Works

The pipeline runs in two phases with quality gates after every step:

**Phase 1 — Discovery**: Read files → extract atomic facts → build entities and
relationships → detect contradictions → link across domains → summarize each domain
→ generate onboarding guide, dashboard, and C4 diagrams.

**Phase 2 — Design**: Formalize business rules (HARD / SOFT / QUESTIONABLE) → generate
DDD specs → implementation contracts → export rules as DMN, JSON, CSV, Gherkin →
generate OpenAPI and AsyncAPI specs.

Every fact traces to a source document with an exact quote. Nothing is invented.
On subsequent runs, only new and modified files are processed.

## Input Files

Magellan reads anything Claude can read — text, code, markdown, CSV, JSON, YAML, XML,
PDF, images, and meeting transcripts.

> **Note:** Claude does not yet natively read DOCX, PPTX, or XLSX files. Until it
> does, convert these to PDF before adding them to your workspace.

Includes 12 language guides for legacy systems (RPG, COBOL, CL, DDS, JCL, CICS,
Assembler/370, NATURAL/ADABAS, IDMS, Easytrieve, PL/I, REXX) that improve extraction
precision. Add your own for proprietary languages.

## Installation

```bash
claude plugin install magellan@knowledge-work-plugins
```

Requires only Claude Code. No Python, no build steps, no system dependencies.

## Contributing

- **Skills**: Add or improve domain expertise in `skills/`
- **Language guides**: Add guides for new languages in `skills/ingestion/language_guides/`
- **Feature requests**: Open an issue

Apache 2.0 license.
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