Develop with
Superpowers

Work with Python (`uv` instead of `python`, modern type syntax, linting, formatting, etc.) properly!

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.

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.

software-developer skill Trigger terms: implement, code, development, programming, coding, build feature, create function, write code, SOLID principles, clean code, refactor Use when: User requests involve software developer 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.

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.

NautilusTrader algorithmic trading platform. Use for building trading strategies, backtesting, live trading, data handling, and quantitative finance applications.

Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.

Rules and checklist for preparing PRs, creating changesets, and releasing packages in the monorepo.

Analyze mistakes with conversation length as potential cause (CAT-specific)

Meta-skill that indexes, optimizes, and auto-generates Claude skills with GitOps automation, OCA GitHub bot integration, and Odoo developer tools. Use for skill creation, CI/CD workflows, OCA module management, and advanced Odoo development.

How to create and use our alembic database migration tool. Use when making changes to models.py.

High-performance monorepo build system with intelligent caching, task orchestration, and parallel execution for multi-package repositories and microservices.

Use this skill when contributing code to open source projects. The skill covers proper pull request creation, avoiding common mistakes that annoy maintainers, cleaning up personal development artifacts before submission, writing effective PR descriptions, following project conventions, and communicating professionally with maintainers. It prevents 16 common contribution mistakes including working on main branch, not testing before PR submission, including unrelated changes, submitting planning documents, session notes, temporary test files, screenshots, and other personal artifacts. Includes 3 Critical Workflow Rules that must NEVER be skipped: (1) Always work on feature branches, (2) Test thoroughly with evidence before PR, (3) Keep PRs focused on single feature. The skill includes automation scripts to validate PRs before submission, templates for PR descriptions and commit messages, and comprehensive checklists. This skill should be used whenever creating pull requests for public repositories, contributing to community projects, or submitting code to projects you don't own. Keywords: open source contributions, github pull request, PR best practices, contribution guidelines, feature branch workflow, PR description, commit messages, open source etiquette, maintainer-friendly PR, PR checklist, clean PR, avoid personal artifacts, session notes cleanup, planning docs cleanup, test before PR, unrelated changes, working on main branch, focused PR, single feature PR, professional communication, community contributions, public repository contributions, fork workflow, upstream sync

This skill provides project-specific coding conventions, architectural principles, repository structure standards, testing patterns, and contribution guidelines for the better-chatbot project (https://github.com/cgoinglove/better-chatbot). Use this skill when contributing to or working with better-chatbot to understand the design philosophy and ensure code follows established patterns. Includes: API architecture deep-dive, three-tier tool system (MCP/Workflow/Default), component design patterns, database repository patterns, architectural principles (progressive enhancement, defensive programming, streaming-first), practical templates for adding features (tools, routes, repositories). Use when: working in better-chatbot repository, contributing features/fixes, understanding architectural decisions, following server action validators, implementing tools/workflows, setting up Playwright tests, adding API routes, designing database queries, building UI components, handling multi-AI provider integration Keywords: better-chatbot, chatbot contribution, better-chatbot standards, chatbot development, AI chatbot patterns, API architecture, three-tier tool system, repository pattern, progressive enhancement, defensive programming, streaming-first, compound component pattern, Next.js chatbot, Vercel AI SDK chatbot, MCP tools, workflow builder, server action validators, tool abstraction, DAG workflows, shared business logic, safe() wrapper, tool lifecycle

Optionally checks, then commits code to the current or a new feature branch.

Guide for working within git worktrees in the Orient monorepo. Use this skill when you detect you're working in a worktree (path contains "skill-worktrees", "app-worktrees", or is outside the main project directory), when asked to "set up worktree", "install dependencies in worktree", "build in worktree", "merge worktree", or when troubleshooting worktree-specific issues. Covers pnpm/turbo commands, environment setup, git workflows (merging, conflict resolution, cleanup), and common worktree pitfalls.

VS Code productivity optimization with essential extensions, settings sync, profiles, keybindings, snippets, and workspace configuration

Serialization is the process of converting data structures into a format that can be stored or transmitted and later reconstructed. This skill covers JSON best practices, binary formats like Protocol Buffers and MessagePack, schema evolution strategies, and performance considerations.