Explore our collection of Agent Skills to enhance your AI workflow.
Enforces real-time TypeScript type checking and linting standards immediately after code modifications.
Generates structured, professional Git commit messages by analyzing staged changes to ensure clarity and consistency in project version history.
Optimizes Docker containers using multi-stage builds, efficient layer caching, and secure base image selection for production environments.
Enhances Claude's problem-solving capabilities using advanced search strategies like Beam Search and Monte Carlo Tree Search.
Spawns and manages autonomous sub-agents to perform parallel research and complex delegated tasks within Claude Code.
Implements high-performance adaptive learning and experience replay for AI agents using the AgentDB vector engine.
Integrates SurrealDB into Dart and Flutter applications with support for embedded databases, ORM features, and AI-powered vector search.
Automates complex multi-step web workflows and dynamic site interactions autonomously using session-based execution.
Implements a systematic five-phase development framework with multi-agent orchestration to accelerate software engineering from specification to deployment.
Coordinates complex multi-agent workflows using a queen-led architecture and collective intelligence to solve high-level development tasks.
Implement high-performance semantic vector search and intelligent document retrieval for RAG-based AI applications.
Transforms requirements into a comprehensive, navigable design catalog using EventStorming methodology and Mermaid diagrams.
Automates cross-repository synchronization, dependency alignment, and architecture management using AI swarm intelligence.
Deploys and manages a standardized self-hosted infrastructure stack featuring secrets management, identity providers, and reverse proxying.
Generates technology-agnostic feature specifications focusing on user needs and success criteria to streamline the development workflow.
Automates and coordinates Claude Code operations through intelligent pre- and post-task hooks with MCP integration and neural pattern learning.
Orchestrates cloud-based AI agent swarms and event-driven workflows for complex, multi-agent automation tasks.
Train, deploy, and manage distributed neural networks across sandboxed E2B environments using multiple architectures and federated learning.
Analyzes project structures and tech stacks to generate production-ready CI/CD pipelines and deployment scripts.
Implements persistent, high-performance memory and learning patterns for AI agents using AgentDB.
Orchestrates multi-phase investigations across codebases and documentation using specialized parallel agents to generate evidence-based insights.
Defines and structures database schemas with robust naming conventions, data integrity constraints, and optimized relationship mappings.
Delivers evidence-based diagnostic and treatment guidance for Feline Infectious Peritonitis based on ABCD guidelines and UC Davis research.
Implements and trains autonomous agents using nine specialized reinforcement learning algorithms for self-improving behavior.
Implements high-performance, production-ready database architectures using async patterns and modern ORM best practices.
Designs and implements progressive delivery pipelines using the Kargo GitOps platform for continuous promotion.
Generates professional, data-driven presentations and technical whitepapers with robust citation management and reproducibility standards.
Generates standardized, professional commit messages by analyzing staged git changes and repository history.
Streamlines the creation of cross-platform extensions, commands, and agents for Claude Code and OpenCode using a unified build system.
Validates and repairs markdown documentation by verifying technical claims against source code and identifying undocumented features.
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