Corpus Reconcile

Synthesize raw project files into canonical documentation via automated clustering and subagents.

6|3|Updated Apr 12, 2026

Search Tags:#automation #workflow #documentation #knowledge management #synthesis #corpus

Ready to run

npx skills add https://github.com/carson-sweet/sweetclaude --skill corpus-reconcile

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Corpus Reconcile
Source: https://github.com/carson-sweet/sweetclaude/tree/main/skills/corpus-reconcile
Command: npx skills add https://github.com/carson-sweet/sweetclaude --skill corpus-reconcile

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill solves the challenge of managing fragmented project documentation by automating the synthesis of raw, staged files into clean, approved, and canonical project records.

Core Features & Use Cases

Intelligent Clustering: Automatically groups related raw files based on content similarity and triage metadata.
Structured Synthesis: Uses subagents to propose merging, superseding, or copying content into a canonical format.
Version Control Integration: Ensures every approved document is tracked via Git commits, maintaining a clear audit trail of project knowledge.

Quick Start

Run the corpus reconcile skill to begin synthesizing your staged files into canonical documentation.

Frequently Asked Questions about Corpus Reconcile

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

FAQPage Schema

How do I synthesize raw project files into canonical documentation?▼

Synthesize raw project files into canonical documentation by running the corpus reconcile skill, which automatically clusters related files and uses subagents to draft structured project records. It transitions staged brainstorming notes into finalized assets within a defined repository structure.

What is the best way to automate clustering for fragmented project notes?▼

Automated clustering for fragmented project notes groups related raw files based on content similarity and triage metadata. This intelligent grouping enables structured synthesis, proposing actions like merging, superseding, or copying content into a canonical format for final approval.

Do I need an initialized project environment to reconcile a corpus?▼

An initialized SweetClaude project environment is required to reconcile a corpus. You must also complete the corpus triage phase beforehand to ensure data integrity before the automated synthesis and subagent-driven drafting processes can begin.

Can I maintain version control audit trails when merging raw documentation?▼

Maintaining version control audit trails is fully supported when merging raw documentation. Every approved canonical document is tracked via Git commits, ensuring a clear and traceable history of project knowledge updates.

How does subagent-driven drafting work for canonical knowledge management?▼

Subagent-driven drafting for knowledge management works by proposing how to merge, supersede, or copy clustered raw files into a canonical format. This structured synthesis automates the transition from raw research notes to approved project assets.

When should I not use automated synthesis for project documentation?▼

Automated synthesis should not be used before completing the corpus triage phase, as data integrity is required for accurate clustering. It is also not intended for unstructured repositories outside a defined SweetClaude project environment.