claudekit-engineer-codex

Automate browsers and apps with agent-browser. Use for testing, screenshots, forms, scraping, Browserbase/cloud browsers, and Electron when real Chrome cookies are not required.

Add authentication with Better Auth (TypeScript). Use for email/password, OAuth providers (Google, GitHub), 2FA/MFA, passkeys/WebAuthn, sessions, RBAC, rate limiting.

Target a real Google Chrome profile for browser automation through Chrome DevTools MCP or claude-in-chrome. Provides a chrome-profile CLI, profile discovery, bridge diagnostics, setup playbooks, and the URL-anchor workflow for selecting the correct profile tab.

Review code quality with evidence-based rigor. Supports input modes: pending changes, PR number, commit hash, and codebase scan. Focuses on bugs, regressions, maintainability, reliability, and verification gaps.

Debug systematically with root cause analysis before fixes. Use for bugs, test failures, unexpected behavior, performance issues, call stack tracing, multi-layer validation, log analysis, CI/CD failures, database diagnostics, system investigation.

Plan implementations, design architectures, create technical roadmaps with detailed phases. Use for feature planning, system design, solution architecture, implementation strategy, phase documentation.

Implement features, plans, and fixes with structured workflow. Use for feature development, plan execution, code implementation pipelines.

Analyze cyber threat intelligence and OSINT cases. Use for exposure reviews, domain recon, breach checks, username/email/phone research, image forensics, blockchain tracing, darknet checks, cloud tenant recon, vulnerability lookup, threat modeling, and structured reports.

Design brand identity, logos, banners, and visual assets. Use for brand systems, design tokens, corporate identity programs. Not for UI code patterns.

Fix bugs, errors, test failures, and CI/CD issues with intelligent routing. Use for type errors, lint issues, log errors, UI bugs, code problems.

Build AI agents with Google ADK Python. Multi-agent systems, A2A protocol, MCP tools, workflow agents, state/memory, callbacks/plugins, Vertex AI deployment, evaluation.

Build MCP servers for LLM-external service integration. Use for FastMCP (Python), MCP SDK (Node/TypeScript), tool design, API integration, resource providers.

Build video content with Remotion in React. Use for programmatic video creation, animated sequences, data-driven video rendering.

Pack repositories into AI-friendly files with Repomix (XML, Markdown, plain text). Use for new-project onboarding, codebase snapshots, LLM context preparation, security audits, third-party library analysis.

Run unit, integration, e2e, and UI tests. Use for test execution, coverage analysis, build verification, visual regression, and QA reports.

Generate short handoff reports from Git branches, remote refs, worktrees, and unfinished plans. Use when the user asks what's in flight, wants progress/next steps, is in a fresh worktree or detached checkout, or needs end-of-session status.

Build with Next.js (App Router, RSC, SSR, ISR), Turborepo monorepos. Use for React apps, server rendering, build optimization, caching strategies, shared dependencies.

Generate production-quality SVG+PNG technical diagrams — architecture, data flow, flowchart, sequence, agent/memory, or concept maps — across 7 visual styles. Use when user wants "generate diagram", "draw diagram", "visualize", "architecture diagram", "flowchart", or any system/flow they want illustrated. Pairs with /ck:preview --diagram for visual self-review and /ck:mermaidjs-v11 for inline-doc diagrams; this skill is the publish-grade output mode.

Brainstorm solutions with trade-off analysis and brutal honesty. Use for ideation, architecture decisions, technical debates, feature exploration, feasibility assessment, design discussions.

Convert a codebase, feature, or module into an AI-agent-friendly CLI and/or MCP server. Covers npm packaging, stdio/SSE/Streamable HTTP surfaces, credential resolution, docs, tests, CI, and a companion Claude skill for users who need an existing capability exposed as a reusable agent tool.

Generate product mockups, marketing assets, brand visuals, and concept art via Nano Banana with 129 curated prompts. Mandatory validation interview refines style/mood/colors (use --skip to bypass). 3 modes: search, creative, wild. Styles: Ukiyo-e, Bento grid, cyberpunk, cinematic, vintage patent.

Analyze images/audio/video with Gemini API (better vision than Claude). Generate images (Imagen 4, Nano Banana 2, MiniMax), videos (Veo 3, Hailuo), speech (MiniMax TTS), music (MiniMax). Use for vision analysis, transcription, OCR, design extraction, multimodal AI.

Answer technical and architectural questions with expert analysis. Use for design decisions, best practices evaluation, solution comparison.

Build backends with Node.js, Python, Go (NestJS, FastAPI, Django). Use for REST/GraphQL/gRPC APIs, auth (OAuth, JWT), databases, microservices, security (OWASP), Docker/K8s.

Bootstrap new projects with research, tech stack, design, planning, and implementation. Modes: full (default interactive), auto (explicit autonomous), fast (skip research), parallel (multi-agent).

Autoresearch is the upstream meta-framework (Udit Goenka, MIT) for autonomous goal-directed iteration with safety guardrails. Locally split into 4 specialized skills. Start here to learn the pattern, then route to the right specialized skill.

Build queryable knowledge graphs from code, docs, papers, and images. Use for codebase understanding, architecture analysis, cross-file relationship discovery, token-efficient navigation.

Autonomous iterative optimization loop — run N iterations against a mechanical metric, learn from git history, auto-keep/discard changes. Use for improving measurable metrics (coverage, performance, bundle size, etc.) through repeated experimentation.

5 expert personas debate proposed changes before implementation. Catches architectural, security, performance, and UX issues early. Use before major features or risky changes.

Generate comprehensive edge cases and test scenarios by decomposing features across 12 dimensions. Use for pre-implementation risk discovery, QA planning, regression design, and iterative saturation when coverage must be exhaustive.

STRIDE + OWASP-based security audit with optional red-team persona discovery loop and auto-fix. Scans code for vulnerabilities from multiple attacker perspectives (auth attacker, supply chain, insider, infrastructure), categorizes by severity, and can iteratively fix findings using ck:autoresearch pattern.

Set coding experience level for tailored output. Use for adjusting explanation depth, code complexity, and response format to user expertise.

Check context usage limits, monitor time remaining, optimize token consumption, debug context failures. Use when asking about context percentage, rate limits, usage warnings, context optimization, agent architectures, memory systems.

Conversion copywriting formulas, headline templates, email copy patterns, landing page structures, CTA optimization, and writing style extraction. Activate for writing high-converting copy, crafting headlines, email campaigns, landing pages, or applying custom writing styles from assets/writing-styles/ directory.

Design schemas, write queries for MongoDB and PostgreSQL. Use for database design, SQL/NoSQL queries, aggregation pipelines, indexes, migrations, replication, performance optimization, psql CLI.

Deploy projects to any platform with auto-detection. Use when user says "deploy", "publish", "ship", "go live", "push to production", "host this app", or mentions any hosting platform (Vercel, Netlify, Cloudflare, Railway, Fly.io, Render, Heroku, TOSE, Github Pages, AWS, GCP, Digital Ocean, Vultr, Coolify, Dokploy). Auto-detects deployment target from config files and docs/deployment.md.

Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm). Use for serverless, containers, CI/CD, GitOps, security audit.

Search library/framework documentation via llms.txt (context7.com). Use for API docs, GitHub repository analysis, technical documentation lookup, latest library features.

Analyze codebase and manage project documentation. Use for doc initialization, updates, summaries, codebase analysis.

Create, edit, analyze .docx Word documents. Use for document creation, tracked changes, comments, formatting preservation, text extraction, template modification.