Projects sharing features with Superpowers

Everything Claude Code is an agentic framework designed to orchestrate complex software development workflows through specialized subagent delegation. It functions as a control plane that manages agent behavior, tool access, and context window efficiency, allowing developers to break down large tasks into focused, scoped sub-processes that prevent system overload. The framework distinguishes itself through a robust security and automation layer that includes automated static analysis and adversarial red-teaming to audit agent configurations. It enables the creation of reusable behavioral patt

Claude Code skill for analyzing Move packages against the official Move Book Code Quality Checklist

An IOS Simulator Skill for ClaudeCode. Use it to optimise Claude's ability to build, run and interact with your apps. I mainly use it as an xcodebuild wrapper to save context.

A claude skill that generate test cases using N-wise test cases using the pypict library

DeepAnalyze is an autonomous data science agent and research pipeline designed to transform raw datasets into comprehensive analysis reports. It operates by generating and executing Python code to perform data preparation, modeling, and visualization. The system utilizes a secure, containerized execution environment to run generated scripts in isolation from the host system. It includes a benchmarking tool to evaluate the accuracy and performance of large language models against standardized data science tasks and a standardized API gateway for managing model completions and file uploads. Th

This project is a skill integration that connects external applications to NotebookLM for source-grounded document querying and knowledge base retrieval. It functions as a tool for retrieving answers based on specific source material stored within a remote notebook service. The system includes a knowledge base organizer that uses metadata and tags to categorize and switch between multiple notebook links. It also features a web-based authentication flow to establish and persist secure access to Google account services. The integration handles state persistence through local files and manages

A kernel architecture for governing autonomous AI agents

Experimental skills for Claude Code Superpowers - new techniques and tools

This project is a generative development environment designed to build reactive, modular user interfaces through natural language prompts. It functions as a declarative framework that translates descriptive requirements into functional code, structured layouts, and interactive components. By utilizing a reactive state architecture, the system ensures that application data remains synchronized across components, triggering automatic updates whenever state values are modified. The platform distinguishes itself through its automated design system generation and cross-platform capabilities. It em

The open agent control plane. Govern autonomous AI agents with pre-execution policy enforcement, approval gates, and audit trails. Works with LangChain, CrewAI, MCP, and any framework.

Claude Code Skills for software engineering workflows - Git automation, testing, and code review

Humanlayer is an LLM coding agent orchestrator and AI-driven workflow manager designed to coordinate multiple agents in researching, designing, and implementing features across complex codebases. It provides a multi-agent development workspace that groups AI sessions, versioned design artifacts, and worktrees into collaborative team tasks. The system features a bring-your-own-key LLM gateway to connect external AI model subscriptions and API keys. It utilizes remote AI agent daemons to run long-term coding sessions on cloud infrastructure, maintaining progress independently of the user's acti

This project serves as a centralized directory and resource hub for extending the functional capabilities of AI agents. It provides a structured collection of tools and integration patterns that enable large language models to interact with external software platforms, facilitating autonomous task execution and data retrieval across a wide range of business applications. The repository distinguishes itself by standardizing communication between AI models and external services through the Model Context Protocol. It utilizes declarative skill manifests and machine-readable tool-calling schemas

Agent-skills is a collection of structured instructions and behavioral personas designed to standardize how AI coding agents perform engineering tasks. It functions as a workflow orchestrator that maps natural language intent to repeatable technical sequences and verification checklists. The project distinguishes itself through the use of specialized markdown-defined roles, such as security auditors or test engineers, to apply targeted domain expertise. It employs an evidence-based verification model that requires runtime data or passing tests as mandatory exit criteria to ensure AI-generated

This project is an AI agent workflow framework and development toolkit designed for AI-driven software engineering. It provides a system of modular instructions, prompt libraries, and standardized routines to orchestrate complex engineering sequences and automate the decomposition of plans into technical tasks. The system differentiates itself through advanced context management and prompt engineering, using state compression and handoff documents to preserve conversation history between different AI sessions. It employs a structured library of prompt skills and high-signal trigger words to e

Automatically updates terminal window titles based on Claude Code tasks—stop guessing which terminal is which.

A Claude skill for d3.js.

A Claude Code plugin that turns natural language into blueprints, blueprints into parallel build plans, and build plans into working software with automated iteration, validation, and cross-model peer review.

Multi-agent AI discussion CLI for structured debates between LLMs

Spec-kit is a specification-driven development framework designed to manage the entire software project lifecycle, from initial requirements gathering to final validation. It functions as a command-line environment that orchestrates complex development workflows by chaining shell tasks, human checkpoints, and conditional logic into repeatable, state-aware sequences. By enforcing formal specifications and organizational guardrails before technical implementation begins, the system ensures that project goals and requirements remain the foundation for all subsequent development activities. The p

Mastra is an orchestration framework designed for building, deploying, and managing autonomous AI agents and multi-agent systems. It provides a comprehensive suite of primitives for creating resilient AI applications, including durable workflow orchestration, event-driven agent loops, and semantic memory management. By integrating these core components, the platform enables developers to build complex, multi-step processes that can reason about goals and execute tasks without manual intervention. The framework distinguishes itself through its focus on observability and secure, isolated execut

Zero-configuration MCP server that unifies multiple AI coding assistants (Codex, Claude Code, Cursor, Gemini) through intelligent auto-discovery and standardized interface

Hand-crafted Claude Code Skills focused on improving agent results quality. Compatible with OpenCode, Cursor, Antigravity, Gemini CLI, and others.