Explore our collection of Agent Skills to enhance your AI workflow.
Organizes messy directories and manages file clutter using intelligent structure suggestions and duplicate detection.
Automates the sequential creation of OpenSpec artifacts to accelerate the transition from requirement to implementation.
Creates isolated git worktree environments for parallel branch development with auto-configured services and scripts.
Automates the creation of all OpenSpec artifacts required to begin implementation for a new feature or fix.
Validates that code implementations align perfectly with specification, task, and design artifacts before final archiving.
Synchronizes incremental requirement changes into main project specifications using intelligent AI-driven merging.
Guides users through their first complete OpenSpec workflow cycle by implementing real codebase improvements with step-by-step narration.
Synchronizes incremental requirement changes from delta specs into main specification files using intelligent merging.
Automates the sequential generation of OpenSpec artifacts to streamline the transition from design to implementation.
Diagnoses and resolves JUDO Dispatcher operation execution issues including validation failures, permission errors, and transaction rollbacks.
Validates that software implementations align with specifications, tasks, and design documents using the OpenSpec framework.
Enforces a rigorous, data-driven framework for designing and validating A/B tests through mandatory statistical gates and hypothesis locking.
Optimizes Large Language Model performance through expert-level prompt architecture, systematic evaluation, and structured instruction design.
Enforces code integrity through automated linting, static analysis, and multi-ecosystem type validation after every modification.
Designs and builds robust autonomous AI agent systems using sophisticated planning, memory, and tool-calling architectures.
Conducts comprehensive penetration testing and vulnerability exploitation using the Metasploit Framework within Claude Code.
Transforms complex, procedural Python scripts into maintainable, class-based architectures with guaranteed regression prevention.
Analyzes Java source code to ensure adherence to idiomatic patterns, modern features, and robust exception handling.
Optimizes development speed by orchestrating multiple Claude subagents to resolve independent tasks concurrently.
Optimizes web applications for speed and efficiency by improving Core Web Vitals, reducing bundle sizes, and implementing advanced caching strategies.
Implements high-performance search functionality using Algolia, React InstantSearch, and optimized indexing strategies.
Guides the implementation of ES6+ features and functional programming patterns for clean, performant, and maintainable JavaScript code.
Streamlines the cleanup of completed development changes by batch-archiving directories and intelligently syncing specifications.
Implements high-performance search experiences using Algolia, React InstantSearch, and optimized indexing strategies.
Configures and optimizes OpenClaw self-hosted AI gateways to connect LLMs with messaging platforms like Telegram, Discord, and WhatsApp.
Analyzes your recent Claude Code history to identify technical gaps and curates personalized learning resources via Slack.
Facilitates deep technical exploration and architectural thinking as an AI partner without modifying your source code.
Facilitates deep architectural exploration and requirement clarification as a strategic thinking partner within the OpenSpec ecosystem.
Guides users through a complete OpenSpec development cycle from initial task identification to final implementation and archiving.
Analyzes OpenAPI and Postman specifications to automatically generate Model Context Protocol (MCP) tool definitions and function signatures.
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