7. Writing & Documentation

Provides standardized guidelines for writing and maintaining clear, consistent documentation in Python, HTML, CSS, and JavaScript codebases to ensure readability and maintainability.

Provides writing guidance and editing assistance based on Strunk & White's Elements of Style for clarity, grammar, and composition.

Guides users in creating Architecture Decision Records (ADRs) using the Alexandrian pattern-based format for structured software design documentation.

Provides guidance on evaluating, improving, and maintaining high-quality architectural decision records through checklists and examples.

Provides guidance for writing, editing, and reviewing economics and finance papers based on McCloskey's 'Economical Writing' principles.

Provides the Tyree-Akerman format for creating enterprise-grade Architecture Decision Records (ADRs) with comprehensive templates and guidelines.

Guides users on Architecture Decision Records (ADRs), covering their purpose, creation timing, best practices, and lifecycle management.

Guides users in creating concise Architecture Decision Records (ADRs) using the Y-Statement format for clear, standardized decision documentation.

Provides syntax guidance and best practices for writing documents using the Typst typesetting language.

Automates generation and maintenance of technical documentation for software projects and APIs.

Generates detailed implementation plans stored as persistent markdown files for complex technical tasks.

Assists in drafting, editing, and formatting law review articles and legal papers following Volokh's academic legal writing standards.

Guides users in creating Architecture Decision Records (ADRs) using the Structured MADR format with YAML frontmatter and audit sections for clear, auditable documentation.

Transforms text into Ken Sū's signature style: concise, visual rhythm, and conclusion-first structure for mobile-friendly readability.

Detects and eliminates unnatural AI-generated Japanese text, transforming it into natural, human-like language through prompt engineering and post-editing.

Provides consistent handling of specification documents through quality criteria, editing methods, and a three-layer framework (Intent/Design/Consistency).

Brainstorms writing topics and gathers references from reading highlights using Readwise MCP.

Validates documentation quality by checking frontmatter, links, READMEs, and changelogs for consistency and correctness.

Assesses Chuukese-English translation quality with cultural context, linguistic accuracy, and automated metrics.

Automates creation of professional changelogs and release notes from git commit history for clear software release communication.

Specialized English-to-Korean patent translation with 4-agent collaboration, dynamic term base, and 95-point quality threshold.

Ensures consistent formatting of ASCII and box-drawing diagrams used in technical documentation and code comments.

Automates synchronization of project documentation (e.g., README.md, AGENTS.md) with codebase changes to ensure consistency.

Provides a list of available skills with names, descriptions, and trigger commands by scanning AGENTS.md configuration file.