7. Writing & Documentation

Documents explicit deltas for bugs, upgrades, refactors, and behavioral changes against existing feature specifications, preserving intent and defining verification.

Generates research-grade Product Requirements Documents (PRDs) defining problems, goals, scope, constraints, and success criteria for product initiatives.

Automates synchronization of technical documentation (e.g., DATABASE.md, API.md) with codebase changes, triggered by feature completion or user commands.

Generates a comprehensive Product Requirements Document (PRD) for software projects, outlining features, goals, and technical specifications.

Comprehensive reference guide for OpenCode and OhMyOpenCode configuration, covering agents, tools, MCP, skills, and Sisyphus orchestration patterns.

Creates Architecture Design Documents (ADD) and AGENTS.md files to define product architecture and agent instructions for software projects.

Generates hierarchical module overviews and functional summaries for codebases, producing structured documentation (modules.md) from directory structure.

Generates Product Requirement Documents via structured interviews to capture and document product requirements.

Converts content to and from Logseq note format, supporting block references and graph structures for knowledge organization.

Features Justice Matrix items to structure and enhance storytelling and content creation workflows.

Verifies specification documents for context preservation and quality, ensuring upstream requirements are maintained after generation.

Updates project documentation (CLAUDE.md and PRD) and aligns structure with framework standards using @doc-updater after context drift or upgrades.

Applies test-driven development to documentation creation, using subagents for pre-writing validation and iterative refinement to ensure robustness.

Drafts and refines Markdown documents, ensuring clean formatting for headings, lists, code blocks, tables, and links.

Enterprise-grade documentation framework leveraging Nextra and Next.js for creating and managing technical documentation sites.

Intelligently loads and caches project-specific documentation based on user intent and context, filling gaps for new technologies and domain questions.

AI-enhanced documentation tool providing unified validation for technical content accuracy and consistency.

Assists in creating high-quality content through research, citation integration, hook improvement, and real-time writing feedback.

Fixes broken markdown links in technical documentation to ensure accurate navigation and content integrity.

Creates concise CS learning documents including topic summaries, daily CS updates, and recent issue explanations.

Generates and publishes original articles on specified topics, providing ready-to-use content without manual editing.

Critically reviews written content for logical gaps, unsupported claims, and potential counterarguments without altering the original text.

Generates test instructions and QA handover documentation by synthesizing Linear issues and git commit data for completed features or bug fixes.

Analyzes content strengths and suggests expansion opportunities, including new topics and connections for enhanced documentation and written materials.