Explore our collection of Agent Skills to enhance your AI workflow.
Enforces best practices for vanilla React development and Apollo Client state management to ensure clean, maintainable code.
Implements scalable vanilla CSS architectures using native design tokens, BEM naming conventions, and mobile-first responsive patterns.
Enforces robust architectural principles, module boundaries, and design patterns to ensure code maintainability and scalability.
Stress-tests software architecture and logic by simulating extreme operational scales to identify hidden vulnerabilities and scalability bottlenecks.
Applies official Go best practices and idiomatic patterns to ensure clean, efficient, and standard-compliant code.
Analyzes API codebases to generate comprehensive migration reports and risk assessments for Azure subscription transitions.
Implements production-ready LangChain patterns for robust LLM applications including LCEL chains, structured outputs, and fallback mechanisms.
Optimizes Git workflows by enforcing atomic commits, intelligent style detection, and advanced history management.
Enforces non-negotiable standards for 3-tier architecture, Test-Driven Development, and self-documenting code.
Initializes a structured, file-based memory system to maintain persistent project context for AI agents.
Transforms documents, transcripts, and PRDs into interactive, dark-themed HTML slide presentations automatically.
Manages structured task execution and verification using markdown implementation plans for AI agents.
Initializes a structured, file-based memory system to maintain long-term project context and state for AI coding agents.
Synchronizes session state and architectural decisions to persistent markdown files for long-term AI context retention.
Enforces baseline coding conventions and best practices for naming, formatting, and architectural patterns across projects.
Implements high-performance, type-safe GraphQL APIs using Apollo Server, Express, and Prisma best practices.
Optimizes full-stack application speed using Apollo caching, Redis strategies, and CloudFront infrastructure patterns.
Enforces non-negotiable documentation standards by integrating project roadmaps, feature specifications, and semantic versioning directly into the development workflow.
Automates the execution of detailed development tasks from ODIN plans by reading requirements, implementing code, and managing task states.
Generates comprehensive, structured development plans and task documentation by analyzing project requirements and codebase context.
Orchestrates automated software development workflows by managing task execution and quality review cycles based on structured plans.
Audits code quality and adherence to project standards following the execution of ODIN tasks.
Initializes a persistent, file-based memory system to maintain project context and decision history for AI agents.
Synchronizes session state and architectural decisions to local Markdown files for persistent AI context tracking.
Connects Claude to external data and services using the Model Context Protocol via a unified command-line interface.
Streamlines the creation, modification, and debugging of Claude Code plugins using automated scaffolding and strict schema validation.
Automates pre-deployment QA gates by scanning for secrets, auditing performance, verifying links, and performing visual regression checks.
Generates comprehensive handoff packages to ensure seamless task continuation across multiple AI chat sessions.
Manages production incident response and diagnostic procedures for Deepgram speech-to-text services.
Configures and optimizes Sentry error monitoring and observability across development, staging, and production environments.
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