ai-kit

Audit a codebase against the 12-Factor App methodology and report compliance.

Check browser support for web platform features against the project's browser targets.

Очеловечить русскоязычный текст — убрать признаки AI-генерации.

Remove signs of AI-generated writing from English text.

Write, fix, or review JSDoc documentation for JavaScript/TypeScript code.

Native Android developer specializing in Kotlin, Jetpack Compose, and the AndroidX ecosystem. Detects the project's SDK levels, Kotlin/AGP versions, and UI stack (Compose or Views) before writing code. Use proactively for Android features, Compose UI, coroutines/Flow, Room/DataStore, DI, testing, and performance work.

Software architecture reviewer for system design, architectural patterns, and technology choices at the macro level. Use proactively to evaluate service boundaries, assess scalability and coupling, review tech-stack decisions, identify architectural debt, and plan modernization strategies. Assesses and advises — does not implement.

BDD specialist for Gherkin scenarios and acceptance tests. Turns user stories and acceptance criteria into Feature files with step definition stubs, detects the project's BDD runner (Cucumber, Behave, pytest-bdd, Reqnroll/SpecFlow, godog), and reviews existing Feature files for style violations. Use for writing or reviewing .feature files, ATDD workflows, and scenario design from requirements.

Business analyst and product specialist for requirements analysis, feature specifications, user stories, acceptance criteria, and product documentation. Use for analyzing business requirements, writing specs, creating user stories, and product research.

CLI developer specializing in command-line tools and terminal applications. Covers argument parsing, interactive prompts, shell completions, cross-platform compatibility, and distribution.

Perform 12-Factor App compliance analysis on any codebase. Use when evaluating application architecture, auditing SaaS applications, or reviewing cloud-native applications against the original 12-Factor methodology.

Automated technical website audit via the squirrelscan CLI: crawls a live or local site and checks 230+ rules across SEO, performance, security, technical, content, and 16 other categories, returning an LLM-optimized report with a health score, broken links, meta-tag analysis, and actionable fixes (with an optional confirm-first fix loop). Use for a fast, tool-driven scan of a website or webapp. For manual SEO strategy and content review without a crawler, use the seo-audit skill instead.

Check browser support for web platform features (CSS, JS APIs, HTML) against the project's actual browser targets. Resolves the project's browserslist config, queries caniuse/MDN compatibility data, reports Baseline status, and recommends fallbacks or progressive enhancement. Use when asking "can I use X", choosing between modern and legacy approaches, reviewing code for unsupported features, or auditing browser compatibility.

Analyzes code diffs and files to identify bugs, security vulnerabilities (SQL injection, XSS, insecure deserialization), code smells, N+1 queries, naming issues, and architectural concerns, then produces a structured review report with prioritized, actionable feedback. Use when reviewing pull requests, conducting code quality audits, identifying refactoring opportunities, or checking for security issues.

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, passive voice, negative parallelisms, and filler phrases.