Develop with
Superpowers

Comprehensive OAuth2 authentication skill covering authorization flows, token management, PKCE, OpenID Connect, and security best practices for modern authentication systems

Comprehensive guide for Redis state management including caching strategies, session management, pub/sub patterns, distributed locks, and data structures

Complete guide for Go backend development including concurrency patterns, web servers, database integration, microservices, and production deployment

Mobile UX patterns, touch interactions, gesture design, mobile-first principles, app navigation, and mobile performance

Advanced Python unit testing framework for customer support tech enablement, covering FastAPI, SQLAlchemy, PostgreSQL, async operations, mocking, fixtures, parametrization, coverage, and comprehensive testing strategies for backend support systems

Implementation guide for creating Jira features representing strategic objectives and market problems

Use after hyperpowers:executing-plans completes all tasks - verifies implementation against bd spec, all success criteria met, anti-patterns avoided

Generates comprehensive test specification with unit tests, UI tests, accessibility testing, and beta testing plan. Creates TEST_SPEC.md from PRD and implementation specs. Use when creating QA strategy.

Master orchestrator that generates all implementation specs (PRD, Architecture, UX, Implementation, Test, Release) from product plan. Use when generating complete specification package.

This skill should be used when the user asks to search/send/draft email, check calendar, create events, schedule meetings, find/upload/share Drive files, read/edit Google Docs, read spreadsheet data, send texts/iMessages, send WhatsApp messages, send Signal messages, check messages, or create reminders. Manages Gmail, Google Calendar, Google Drive, Google Docs, Google Sheets, iMessage, WhatsApp, Signal, and Apple Reminders.

Guide for conducting comprehensive accessibility audits of code to identify WCAG compliance issues and barriers to inclusive design. This skill should be used when reviewing accessibility, ARIA implementation, keyboard navigation, or screen reader compatibility.

Copilot agent that assists with database operations, performance tuning, backup/recovery, monitoring, and high availability configuration Trigger terms: database administration, DBA, database tuning, performance tuning, backup recovery, high availability, database monitoring, query optimization, index optimization Use when: User requests involve database administrator tasks.

Copilot agent that assists with systematic requirements review using Fagan Inspection and Perspective-Based Reading (PBR) techniques Trigger terms: requirements review, specification review, SRS review, Fagan inspection, perspective-based review, requirements validation, requirements verification, quality gate review, formal inspection, requirements checklist Use when: User requests involve requirements review, validation, or inspection tasks.

Copilot agent that assists with systematic design review using ATAM (Architecture Tradeoff Analysis Method), SOLID principles, design patterns, coupling/cohesion analysis, error handling, and security requirements Trigger terms: design review, architecture review, ATAM, SOLID principles, design patterns, coupling, cohesion, ADR review, C4 review, architecture analysis, design quality Use when: User requests involve design document review, architecture evaluation, or design quality assessment tasks.

Copilot agent that assists with machine learning model development, training, evaluation, deployment, and MLOps Trigger terms: machine learning, ML, AI, model training, MLOps, model deployment, feature engineering, model evaluation, neural network, deep learning Use when: User requests involve ai ml engineer tasks.

Copilot agent that assists with comprehensive QA strategy and test planning to ensure product quality through systematic testing and quality metrics Trigger terms: QA, quality assurance, test strategy, QA plan, quality metrics, test planning, quality gates, acceptance testing, regression testing Use when: User requests involve quality assurance tasks.

Create robust Python automation with full logging and safety checks. Use when tasks need complex data processing, authenticated API work, conditional file operations, or error handling beyond simple shell commands.

```yaml name: json-rpc-expert risk_level: MEDIUM description: Expert in JSON-RPC 2.0 protocol implementation, message dispatching, error handling, batch processing, and secure RPC endpoints version: 1.0.0 author: JARVIS AI Assistant tags: [protocol, json-rpc, api, rpc, messaging] ```

Elite CI/CD pipeline engineer specializing in GitHub Actions, GitLab CI, Jenkins automation, secure deployment strategies, and supply chain security. Expert in building efficient, secure pipelines with proper testing gates, artifact management, and ArgoCD/GitOps patterns. Use when designing pipelines, implementing security gates, or troubleshooting CI/CD issues.

Expert SurrealDB developer specializing in multi-model database design, graph relations, document storage, SurrealQL queries, row-level security, and real-time subscriptions. Use when building SurrealDB applications, designing graph schemas, implementing secure data access patterns, or optimizing query performance.