Runs a structured 15-minute interactive learning session: assesses level via one-question-at-a-time intake, delivers personalised concept teaching with live code execution and tool use, assigns a hands-on task, then saves a dated session report .md file. Use when user says "I want to learn X", "I am curious about X", "I want to master X", "teach me X", "help me understand X", "walk me through X", "I want to explore X", or "how does X work". Do NOT use for general Q&A, code debugging, file editing, or tasks with no learning intent.

Create X/Twitter cards that look like images, not marketing banners. Use when asked to "create OG images", "set up X cards", "make social cards", or "twitter card without text".

Create X/Twitter cards that look like images, not marketing banners. Use when asked to "create OG images", "set up X cards", "make social cards", or "twitter card without text".

Create a minimal working Apollo.io example. Use when starting a new Apollo integration, testing your setup, or learning basic Apollo API patterns. Trigger with phrases like "apollo hello world", "apollo example", "apollo quick start", "simple apollo code", "test apollo api".

Execute use when generating Helm charts for Kubernetes applications. Trigger with phrases like "create Helm chart", "generate chart for app", "package Kubernetes deployment", or "helm template". Produces production-ready charts with Chart.yaml, values.yaml, templates, and best practices for multi-environment deployments.

Use when building Python 3.11+ applications requiring type safety, async programming, or robust error handling. Generates type-annotated Python code, configures mypy in strict mode, writes pytest test suites with fixtures and mocking, and validates code with black and ruff. Invoke for type hints, async/await patterns, dataclasses, dependency injection, logging configuration, and structured error handling.

Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases, creates Kubeflow or Airflow DAGs for training orchestration, builds feature store schemas with Feast, deploys model registries, and automates retraining and validation workflows. Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, managing experiment tracking systems, setting up DVC for data versioning, tuning hyperparameters, or configuring MLOps tooling like Kubeflow, Airflow, MLflow, or Prefect.

Conducts structured requirements workshops to produce feature specifications, user stories, EARS-format functional requirements, acceptance criteria, and implementation checklists. Use when defining new features, gathering requirements, or writing specifications. Invoke for feature definition, requirements gathering, user stories, EARS format specs, PRDs, acceptance criteria, or requirement matrices.

Universal release workflow. Auto-detects version files and changelogs. Supports Node.js, Python, Rust, Claude Plugin, GitHub Releases, annotated tags, historical release backfill, and generic projects. Use when user says "release", "发布", "new version", "bump version", "push", "推送", "release notes", "GitHub Release", or "回填 Release".

Universal release workflow. Auto-detects version files and changelogs. Supports Node.js, Python, Rust, Claude Plugin, GitHub Releases, annotated tags, historical release backfill, and generic projects. Use when user says "release", "发布", "new version", "bump version", "push", "推送", "release notes", "GitHub Release", or "回填 Release".

Interact with MCP (Model Context Protocol) servers using the mcporter CLI. Use this skill when you need to list available MCP servers, view tool schemas, call MCP tools, manage OAuth authentication, or generate CLI wrappers and TypeScript types for MCP servers.

Start Tilt dev environment in tmux, monitor bootstrap to healthy state, fix Tiltfile bugs without hard-coding or fallbacks. Use when starting tilt, debugging Tiltfile errors, or bootstrapping a dev environment.

Align spec files with implementation. Detects drift between spec and code, surfaces discrepancies, user decides whether to update spec or code. Use when both a spec file and its implementation are in context.

Triage Joel's email inboxes via the joelclaw email CLI. Scan, categorize, archive noise, surface actionable items, and draft replies. Use when: 'check my email', 'scan inbox', 'triage email', 'what needs a reply', 'clean up inbox', 'archive junk', 'email summary', 'anything important in email', or any request involving email inbox review or cleanup.

Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".

Create, review, test, and rollback Alembic database migrations for OPRE OPS. Use this skill whenever the user mentions database migrations, alembic, schema changes, adding/modifying columns or tables, model changes that need migration, or "migrate the database". Also use when a model change has been made and the user needs to generate the corresponding migration.

Implement Customer.io load testing and horizontal scaling. Use when preparing for high traffic, running load tests, or designing queue-based architectures for scale. Trigger: "customer.io load test", "customer.io scale", "customer.io high volume", "customer.io k6", "customer.io performance test".

Implement security best practices with Clerk authentication. Use when securing your application, reviewing auth implementation, or hardening Clerk configuration. Trigger with phrases like "clerk security", "secure clerk", "clerk best practices", "clerk hardening".