Can I use my own company templates?

Yes, the Context Gathering phase specifically asks for templates or existing formats to ensure the final document follows your team's standards.

What document types does this skill support?

It is optimized for any structured content, including technical specs, design documents, proposals, PRDs, RFCs, and decision logs.

How does the 'Reader Testing' stage work?

The skill uses a 'fresh' sub-agent without your previous chat context to read the draft and identify sections that might be confusing or require more background for an external reader.

Does it pull context from my existing tools?

If you have MCP servers or integrations enabled for tools like Slack, Teams, or Google Drive, the skill can directly fetch and reference context from those platforms.

Why shouldn't I just edit the document myself?

While you can edit manually, providing feedback to the agent allows it to learn your specific tone and preferences, leading to higher quality drafts in subsequent sections.

Doc Co-Authoring Agent

Name: Doc Co-Authoring Agent
Author: partme-ai

bypartme-ai

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Content Management

Guides users through a structured three-stage workflow for collaborative documentation, technical specs, and project proposals.

About

The Doc Co-Authoring Agent provides a comprehensive, guided framework for creating high-quality technical documentation and decision logs. It moves through three distinct phases: comprehensive context gathering to bridge knowledge gaps, iterative section-by-section drafting with brainstorming and curation, and a unique 'Reader Testing' stage where sub-agents identify blind spots. This systematic approach ensures that complex documents like PRDs, RFCs, and design docs are clear, thorough, and optimized for both human readers and AI understanding.

Key Features

Blind testing via sub-agents to verify clarity for readers without prior context
Iterative brainstorming for every document section to ensure comprehensive coverage
Structured 3-stage workflow: Context Gathering, Refinement, and Reader Testing
Integration with external tools like Slack, Teams, and Google Drive for context ingestion
37 GitHub stars
Surgical document editing using granular text replacement to maintain high-fidelity drafts

Use Cases

Writing structured decision logs that capture organizational context and trade-offs
Creating detailed Product Requirement Documents (PRDs) and project proposals
Drafting complex technical design documents or architectural RFCs

About

Key Features

Blind testing via sub-agents to verify clarity for readers without prior context
Iterative brainstorming for every document section to ensure comprehensive coverage
Structured 3-stage workflow: Context Gathering, Refinement, and Reader Testing
Integration with external tools like Slack, Teams, and Google Drive for context ingestion
37 GitHub stars
Surgical document editing using granular text replacement to maintain high-fidelity drafts

Use Cases

Writing structured decision logs that capture organizational context and trade-offs
Creating detailed Product Requirement Documents (PRDs) and project proposals
Drafting complex technical design documents or architectural RFCs