Use when producing a technical design spec for a feature or Jira story. Enforces consistent spec structure covering data model, API surface, permissions, offline-sync rules where applicable, and web/mobile UI. Run before writing-plans.

Control Apple TV, HomePod, and AirPlay devices via pyatv (scan, stream, playback, volume, navigation).

Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices. Use when creating Node.js servers, REST APIs, GraphQL backends, or microservices architectures.

Create structured incident response runbooks with step-by-step procedures, escalation paths, and recovery actions. Use when building runbooks, responding to incidents, or establishing incident response procedures.

Use when the user asks for a fortune reading, daily destiny, life reading, horoscope, hexagram, I-Ching, 운세, 사주, 명리, or invokes /destiny. Produces TWO sections — (1) today's daily fortune, (2) life destiny from the user's 사주 — written in plain language anyone can follow, with no untranslated jargon. Computes real 사주 + 일진 + 매화역수 hexagram via lunar-python; stores birth profile after first use. Default English.

Search and view prediction market data from Polymarket, Kalshi, Manifold, and Metaculus

Donate to 501(c)(3) charities onchain via Endaoment - tax-deductible crypto donations

Expert in building browser extensions that solve real problems - Chrome, Firefox, and cross-browser extensions. Covers extension architecture, manifest v3, content scripts, popup UIs, monetization strategies, and Chrome Web Store publishing. Use when: browser extension, chrome extension, firefox addon, extension, manifest v3.

Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants.

Write and maintain Architecture Decision Records (ADRs) following best practices for technical decision documentation. Use when documenting significant technical decisions, reviewing past architectural choices, or establishing decision processes.

Design, audit, and improve analytics tracking systems that produce reliable, decision-ready data. Use when the user wants to set up, fix, or evaluate analytics tracking (GA4, GTM, product analytics, events, conversions, UTMs). This skill focuses on measurement strategy, signal quality, and validation— not just firing events.

Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different' - products that solve specific problems with AI. Covers prompt engineering for products, cost management, rate limiting, and building defensible AI businesses. Use when: AI wrapper, GPT product, AI tool, wrap AI, AI SaaS.

Audit the whole repo for over-engineering. A ranked list of what to delete, simplify, or replace with stdlib or native features.

Market regime detection and regime-specific trading strategies. Use when analyzing market conditions to select appropriate strategy.

Manage Jira Agile boards and sprints. Use when listing boards, creating sprints, or moving issues to/from sprints.

Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.

Implement Stripe payment processing for robust, PCI-compliant payment flows including checkout, subscriptions, and webhooks. Use when integrating Stripe payments, building subscription systems, or implementing secure checkout flows.

Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and alerting. Use when establishing reliability targets, implementing SRE practices, or measuring service performance.

Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.

Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting up automated testing and deployment.