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Creates comprehensive GitHub project documentation including README, CONTRIBUTING, CODE_OF_CONDUCT, CHANGELOG, architecture docs, and API documentation. Analyzes codebase to generate accurate, well-styled documentation with modern GitHub aesthetics. Use when setting up a new project, improving existing documentation, or generating missing docs.

Manage multilingual content for JSON messages and MDX files. Use when adding new UI strings, translating blog posts, creating multilingual pages, or updating content across locales (pt-BR, es, ja, fr).

Automates updating mistralai_dart when Mistral AI OpenAPI spec changes. Fetches latest spec, compares against current, generates changelogs and prioritized implementation plans. Use for: (1) Checking for API updates, (2) Generating implementation plans for spec changes, (3) Creating new models/endpoints from spec, (4) Syncing local spec with upstream. Triggers: "update api", "sync openapi", "new endpoints", "api changes", "check for updates", "update spec", "api version", "fetch spec", "compare spec", "what changed in the api", "implementation plan".

Table-driven tests, mocking strategies, and comprehensive testing patterns. Use when writing tests.

Use when receiving code review feedback (especially if unclear or technically questionable), when completing tasks or major features requiring review before proceeding, or before making any completion/success claims. Covers three practices - receiving feedback with technical rigor over performative agreement, requesting reviews via code-reviewer subagent, and verification gates requiring evidence before any status claims. Essential for subagent-driven development, pull requests, and preventing false completion claims.

Creates feature specifications capturing requirements and acceptance criteria. Use when writing specs, documenting features, or defining requirements.

Create detailed implementation plans with bite-sized tasks for engineers with zero codebase context. Use this when design is complete and you need detailed implementation tasks for engineers with zero codebase context

Best practices AutoHotkey v2. Use when writing AHK v2 scripts - covers global variable declarations, SetTimer usage, event handlers, and GUI positioning.

Fetch Kit (ConvertKit) newsletter broadcasts for writing context. Use when asked to download newsletters, get past email content for style reference, or fetch broadcasts for analysis.

ALWAYS invoke this skill BEFORE writing or modifying ANY Rust code (.rs files) even for simple Hello World programs. Enforces Microsoft-style Rust development discipline and requires consulting the appropriate guideline files before any coding activity. This skill is MANDATORY for all Rust development.

Use when developing BigQuery Dataform transformations, SQLX files, source declarations, or troubleshooting pipelines - enforces TDD workflow (tests first), ALWAYS use ${ref()} never hardcoded table paths, comprehensive columns:{} documentation, safety practices (--schema-suffix dev, --dry-run), proper ref() syntax, .sqlx for new declarations, no schema config in operations/tests, and architecture patterns that prevent technical debt under time pressure

This skill automatically detects when CLAUDE.md files need updates based on codebase analysis. It identifies new patterns, code violations, stale documentation, and anti-patterns, then proposes specific markdown diffs showing exactly what CLAUDE.md sections should be added, modified, or removed. When codebase architecture changes, new patterns emerge, or documented practices diverge from actual code, this skill analyzes the robo-trader project structure and generates actionable recommendations with confidence scores. Should be invoked after major feature completions, during code reviews, or as periodic maintenance scans.

Use when implementing any feature or bugfix, before writing implementation code

Use when creating, auditing, or optimizing web content for search engines - routes to specialized sub-skills for content writing, keyword strategy, meta optimization, structure, authority building, snippet optimization, content planning, freshness updates, and cannibalization detection

Storybook CSF3 story authoring methodology for UI component catalogs.Prioritizes visual showcase patterns over exhaustive argTypes enumeration.Reference for creating scannable, maintainable component documentation.

Expert guidance for writing clean, simple, and effective unit, integration, component, microservice, and API tests. Use this skill when reviewing existing tests for violations, writing new tests, or refactoring tests. NOT for end-to-end tests that span multiple processes - use testing-e2e skill instead. Covers AAA pattern, data factories, mocking strategies, DOM testing, database testing, and assertion best practices.

Analyzes property listings to extract key data, generate comparisons, identify insights, and create professional real estate documentation for agents and investors.

Standards and methods for conducting research, gathering information, and presenting findings with proper source attribution. Use when researching topics, analyzing documentation, or synthesizing information from multiple sources.

Automates updating googleai_dart when Google AI OpenAPI spec changes. Fetches latest spec, compares against current, generates changelogs and prioritized implementation plans. Use for: (1) Checking for API updates, (2) Generating implementation plans for spec changes, (3) Creating new models/endpoints from spec, (4) Syncing local spec with upstream. Triggers: "update api", "sync openapi", "new endpoints", "api changes", "check for updates", "update spec", "api version", "fetch spec", "compare spec", "what changed in the api", "implementation plan".

Generate Japanese documentation from spec files. Use AUTOMATICALLY after writing or editing any file matching specs/**/*.md (excluding specs/**/docs/*). Also use when user says "generate spec docs", "spec docs", "PM docs", "architect docs", or "implementation guide". (user)