Design DAG-based MLOps pipeline architectures with Airflow, Dagster, Kubeflow, or Prefect. Activates for DAG orchestration, workflow automation, pipeline design patterns, CI/CD for ML. Use for platform-agnostic MLOps infrastructure - NOT for SpecWeave increment-based ML (use ml-pipeline-orchestrator instead).

Comprehensive MLOps workflows for the complete ML lifecycle - experiment tracking, model registry, deployment patterns, monitoring, A/B testing, and production best practices with MLflow

Use the MIDI Markdown Compiler (mmdc) CLI for compiling MMD to MIDI, validating syntax, real-time playback with TUI, exporting to different formats (JSON, CSV, table), and managing device libraries. Use when the user wants to compile, validate, play, inspect MMD files, or work with device libraries.

Troubleshoot and debug MIDI Markdown (MMD) files including validation errors, timing issues, value ranges, syntax problems, and compilation failures. Use when the user encounters MMD errors, validation failures, unexpected behavior, or needs help diagnosing MMD issues.

Create custom MIDI device libraries for MIDI Markdown with aliases, parameters, and documentation. Use when the user wants to create device-specific aliases for hardware (guitar processors, synthesizers, effects units), document MIDI implementations, or build reusable command libraries.

Write MIDI Markdown (MMD) files with correct syntax, timing paradigms, MIDI commands, and advanced features like loops, sweeps, random values, and modulation. Use when the user wants to create or edit .mmd files, needs help with MMD syntax, is implementing MIDI automation sequences, or is troubleshooting MMD validation errors.

**Enterprise SPEC-First TDD Development Orchestration**

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Enterprise artifact management with governance, lifecycle, SBOM, and supply chain security for November 2025 standards

Automatically suggest tests for new functions and components. Use when new code is written, functions added, or user mentions testing. Creates test scaffolding with Jest, Vitest, Pytest patterns. Triggers on new functions, components, test requests, testing mentions.

Auto-generate API documentation from code and comments. Use when API endpoints change, or user mentions API docs. Creates OpenAPI/Swagger specs from code. Triggers on API file changes, documentation requests, endpoint additions.

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

When the user wants to create, generate, edit, or optimize images for marketing — blog heroes, social graphics, product mockups, profile banners, listing visuals, or brand assets. Also use when the user mentions 'AI image generation,' 'generate an image,' 'create a graphic,' 'product mockup,' 'hero image,' 'social media graphic,' 'banner image,' 'cover photo,' 'profile banner,' 'listing screenshot,' 'Flux,' 'Midjourney,' 'DALL-E,' 'GPT Image,' 'Ideogram,' 'Gemini image,' 'Canva,' 'Figma,' 'image optimization,' 'compress images,' 'WebP,' or 'OG image.' Use this for general-purpose marketing image creation and optimization. For paid ad image creative and platform-specific ad specs, see ad-creative. For video production, see video.

When the user wants to create sales collateral, pitch decks, one-pagers, objection handling docs, or demo scripts. Also use when the user mentions 'sales deck,' 'pitch deck,' 'one-pager,' 'leave-behind,' 'objection handling,' 'deal-specific ROI analysis,' 'demo script,' 'talk track,' 'sales playbook,' 'proposal template,' 'buyer persona card,' 'help my sales team,' 'sales materials,' or 'what should I give my sales reps.' Use this for any document or asset that helps a sales team close deals. For competitor comparison pages and battle cards, see competitor-alternatives. For marketing website copy, see copywriting. For cold outreach emails, see cold-email.

Use when building HTML email templates with React components, adding a visual email editor to an application using the React Email visual editor, rendering emails to HTML, or sending emails with Resend. Covers welcome emails, password resets, notifications, order confirmations, newsletters, transactional emails, and the embeddable email editor component.

Analyzes the founder's business context to deliver the 3 highest-impact next moves for growth (marketing or sales). Asks up to 10 diagnostic questions when needed to uncover bottlenecks, struggles, and opportunities. Use when user needs strategic guidance, next steps, growth planning, or actionable business strategy.

Format-specific document extraction workflows

Customize resume for specific job postings while maintaining truthfulness

Guide for creating effective skills using a TDD-based approach. This command treats skill creation as Test-Driven Development applied to process documentation.

Verify skills work under pressure and resist rationalization using the RED-GREEN-REFACTOR cycle. Critical for discipline-enforcing skills.

Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.

Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure

Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration

Create and configure git hooks with intelligent project analysis, suggestions, and automated testing

Guide for creating effective skills. This command should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. 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

Use when creating or editing any prompt (commands, hooks, skills, subagent instructions) to verify it produces desired behavior - applies RED-GREEN-REFACTOR cycle to prompt engineering using subagents for isolated testing

Update and maintain project documentation for local code changes using multi-agent workflow with tech-writer agents. Covers docs/, READMEs, JSDoc, and API documentation.

Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering

Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification

Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.

creates draft task file in .specs/tasks/draft/ with original user intent

Implement a task with automated LLM-as-Judge verification for critical steps

Refine, parallelize, and verify a draft task specification into a fully planned implementation-ready task

Systematically fix all failing tests after business logic changes or refactoring

Use when implementing any feature or bugfix, before writing implementation code - write the test first, watch it fail, write minimal code to pass; ensures tests actually verify behavior by requiring failure first

Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component --json` shows complexity > 50 or lineCount > 300, when the user asks for code splitting, hook extraction, or complexity reduction, or when `pnpm analyze-component` warns to refactor before testing; avoid for simple/well-structured components, third-party wrappers, or when the user explicitly wants testing without refactoring.

Design comprehensive test cases using PICT (Pairwise Independent Combinatorial Testing) for any piece of requirements or code. Analyzes inputs, generates PICT models with parameters, values, and constraints for valid scenarios using pairwise testing. Outputs the PICT model, markdown table of test cases, and expected results.

AWS Aurora Serverless v2, RDS Proxy, Data API, connection pooling

Analyze existing repositories, maintain structure, setup guardrails and best practices

E2E testing with Playwright - Page Objects, cross-browser, CI/CD

PostHog analytics, event tracking, feature flags, dashboards

React web development with hooks, React Query, Zustand

Create Jira/Asana/Linear tickets optimized for Claude Code execution - AI-native ticket writing

User experience flows - journey mapping, UX validation, error recovery

Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, or build a new skill.

Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through

Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps

'Analyzes malware command-and-control (C2) communication protocols to understand beacon patterns, command structures,

Parse and analyze email headers to trace the origin of phishing emails, verify sender authenticity, and identify

'Performs runtime mobile security exploration of iOS applications using Objection, a Frida-powered toolkit that