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project-context-distiller

Distill software repositories into evidence-grounded context artifacts with structured tracking.

Updated May 3, 2026
Search Tags:#codebase analysis#opportunity mapping#research context#architecture synthesis#feature catalog#evidence ledger#project distillation
One-click install
npx skills add https://github.com/miethe/boxbrain-2 --skill project-context-distiller
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: project-context-distiller
Source: https://github.com/miethe/boxbrain-2/tree/main/.claude/skills/project-context-distiller
Command: npx skills add https://github.com/miethe/boxbrain-2 --skill project-context-distiller

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill solves the problem of scattered, difficult-to-understand project knowledge by transforming a software repository and supplemental documentation into structured, evidence-grounded context artifacts for future AI agents and engineering teams.

Core Features & Use Cases

  • Project Distillation: Synthesizes a codebase into a feature catalog, architectural fundamentals, research context pack, and opportunity map.
  • Evidence-Grounded Analysis: Classifies claims by evidence type, confidence, maturity, citations, and contradictions through an evidence ledger.
  • Governed Artifact Generation: Coordinates delegated inventory, architecture analysis, parallel artifact writing, contradiction review, and script-based verification.
  • Use Case: Apply it to a growing monorepo before planning new product capabilities so researchers and developers can understand current features, design constraints, technical risks, and high-value opportunities without re-analyzing the repository from scratch.

Quick Start

Use the project-context-distiller skill on the target repository to generate and verify its four research-ready context artifacts.

Frequently Asked Questions about project-context-distiller

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is codebase distillation for research context?▼

Codebase distillation synthesizes a software repository and supplemental project documentation into structured, evidence-grounded context artifacts. It generates a feature catalog, architectural fundamentals, and an opportunity map to provide research-ready insight for AI agents and engineering teams.

How do I generate an architectural analysis and feature catalog from a repository?▼

Provide a target repository path and optional supplemental materials to the distiller skill. It coordinates delegated inventory, architecture analysis, and parallel artifact writing to produce a synthesized feature catalog and architectural fundamentals verified through structured scripts.

Can I use project distillation for a growing monorepo before planning new features?▼

Yes, project distillation is designed for growing monorepos before planning new product capabilities. It maps current features, design constraints, technical risks, and high-value opportunities, allowing developers to plan AI-assisted project evolution without re-analyzing the repository from scratch.

Do I need supplemental documentation to perform codebase analysis?▼

Supplemental documentation is optional but recommended for thorough codebase analysis. Providing it alongside the repository path allows the distiller to synthesize richer architectural fundamentals and research context, classifying claims by evidence type, confidence, and citations in an evidence ledger.

What's the best way to track evidence and contradictions during architectural synthesis?▼

The best way to track evidence during architectural synthesis is using an evidence ledger that classifies claims by evidence type, confidence, maturity, and citations. The distiller coordinates a contradiction review process to ensure generated context artifacts remain grounded and verified.

Are there limitations to using automated project distillation for AI-assisted evolution planning?▼

Automated project distillation relies on script-based verification and structured artifact templates, meaning limitations arise if the repository lacks clear structural patterns or supplemental materials are highly unstructured. It should not replace manual review when resolving complex architectural contradictions.

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