7. Writing & Documentation

Guides users in creating Agent Skills for Cursor, including structure, best practices, and SKILL.md documentation.

Generates structured plans for multi-step technical tasks using requirements/specifications, ensuring clarity before code development begins.

Generates and manages DocC documentation for Swift projects, including API comments, tutorials, and GitHub Pages hosting for iOS/macOS development.

Updates and completes JournalOS translation JSON files by running a command and fixing missing or empty translations.

Summarizes YouTube video content by extracting key points, timelines, and core arguments with structured output formats.

Cleans DeepResearch report files by removing reference links and extra punctuation for professional documentation.

Automates updating README.md Features section to list journal modules in categorized, collapsible sections for documentation consistency.

Creates and edits Obsidian Flavored Markdown with wikilinks, callouts, and frontmatter for documentation and knowledge management.

Generates side-by-side English-Chinese translations for documents and content upon user request.

Refines AI-generated subtitles by correcting terminology, optimizing sentence structure, and standardizing formatting for improved readability in SRT/VTT files.

Validates cross-document consistency and identifies traceability gaps within System Design Document (SDD) frameworks for project-wide documentation integrity.

Generates Layer 6 System Requirements (SYS) artifact defining functional specifications and quality attributes for software systems.

Provides real-time feedback on documentation quality during artifact creation, ensuring adherence to style and content standards.

Generates implementation-ready technical specifications in YAML format for software development teams.

Creates structured technical requirements documents in REQ v3.0 format with SPEC and IMPL readiness scoring for software specifications.

Automates review of technical documents for typos, inconsistencies, reference errors, and unclear terminology using parallel processing.

Generates Business Requirements Documents (BRD) as Layer 1 artifacts per SDD methodology, defining business needs and objectives.

Generates formal requirements documents using the EARS syntax (WHEN-THE-SHALL-WITHIN) for Layer 3 artifacts.

Analyzes project structure to extract and surface context for efficient technical documentation creation.

Generates supplementary reference documents not part of formal traceability, providing additional technical context for projects.

Generates Product Requirements Documents (PRD) using SDD methodology, defining product features and user needs as a Layer 2 artifact.

Automates synchronizing project documentation with the current codebase state to ensure README.md accuracy and relevance.

Generates Architecture Decision Records (ADRs) using Context-Decision-Consequences format to document software architecture decisions.

Intelligent engine that analyzes user intent and project context to recommend relevant documentation skills.