Documentation

Complete feature development lifecycle from research to deployment. Uses Gemini Search for best practices, architecture design, Codex prototyping, comprehensive testing, and documentation generation. Full 12-stage workflow.

Best practices for writing efficient, clean Stan programs

Best practices AutoHotkey v1. Use when writing AHK v1 scripts to avoid critical errors like auto-execute section issues, includes order, and COM object handling.

Comprehensive Confluence documentation management. Use when asked to"upload to Confluence", "download Confluence pages", "convert Markdownto Wiki Markup", "sync documentation to Confluence", "search Confluence","create Confluence page", "update Confluence page", "export Confluence","publish to Confluence", or "Confluence CQL query". Handles Wiki Markupconversion, Mermaid/PlantUML diagrams, image handling, large documentuploads without size limits, and Git-to-Confluence sync with mark CLI.

Master requirements gathering, user story writing, acceptance criteria definition, and scope management. Transform insights into clear, actionable specifications.

Deep codebase analysis to generate 8 comprehensive documentation files. Adapts based on path choice - Greenfield extracts business logic only (tech-agnostic), Brownfield extracts business logic + technical implementation (tech-prescriptive). This is Step 2 of 6 in the reverse engineering process.

Use this skill when you need to write utility functions for the Next.js app

Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof against rationalization

Expert documentation analysis including quality assessment, gap detection, and improvement recommendations

Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens.

Write secure, performant database queries using parameterized queries, eager loading, proper indexing, and transactions. Use this skill when writing database query code, ORM query methods, SQL statements, or data fetching logic. Use this when preventing SQL injection with parameterized queries, optimizing queries to avoid N+1 problems with eager loading, selecting specific columns instead of SELECT *, implementing database transactions for related operations, adding query timeouts, or caching expensive queries. Use this when working on repository files, service files with database access, query builder code, or any file that retrieves or manipulates data from databases.

Keep project documentation (CLAUDE.md, .env.example) in sync with actual configuration changes. Use after major configuration changes, environment setup modifications, or when user requests "update documentation" or "sync docs with current setup".

Produce first drafts that match a writer's authentic voice using their Voice DNA Document. Consumes DNA documents from writing-dna-discovery skill. Generates 2 meaningfully different drafts with headlines, confidence assessment, decision notes, and DNA refinement suggestions. Collaborative partner that evaluates, pushes back, and advocates for quality. Handles blog posts, essays, newsletters, and more.

This skill should be used when Claude needs to write a feature specification, create acceptance criteria, document requirements, define user stories, or structure feature documentation. Trigger phrases include "write a spec", "create specification", "document requirements", "define acceptance criteria", "write user stories".

Incident response patterns and runbooks. Use when handling production incidents, creating runbooks, performing root cause analysis, writing postmortems, or designing on-call procedures.

Use when working with database models or migrations. Contains schema documentation and relationship patterns.

Analyzes code quality, suggests improvements, and safely refactors code while preserving behavior. Use when improving code structure, addressing technical debt, or refactoring a React page or big component.

Interactive prompt builder for creating high-quality deep research prompts through adaptive interviewing. Use when users need to transform a basic research topic into a comprehensive, well-structured research prompt optimized for deep analysis. Helps build research prompts from vague ideas, enhance existing questions with best practices, and create structured prompts for any domain including product comparisons, technical documentation, academic literature, and market analysis.

Use this skill when you need to write configuration files in `src/config` for the Next.js app

Product Owner assistance for ticket refinement, epic breakdown, dependency analysis, and backlog management across multiple project management systems. Use this skill when working with tickets to create, analyze, propose amendments, or generate discussion questions. Supports Linear, Local Markdown, Jira, GitHub Issues, and other PM systems through extensible connectors.