Explore our collection of Agent Skills to enhance your AI workflow.
Implements robust Retrieval-Augmented Generation (RAG) patterns to ground LLM responses with accurate, cited, and validated external data.
Implements high-performance, isolated unit testing patterns using the AAA methodology across TypeScript and Python environments.
Calibrates and positions precise video annotations, arrows, and callouts within Remotion compositions using interactive debug grids.
Compiles high-quality, programmatically generated demo videos and animations using the Remotion framework.
Manages the multi-agent curation of high-quality training and testing datasets with automated quality scoring and bias detection.
Coordinates multiple parallel Claude Code instances across Git worktrees to prevent file conflicts and synchronize architectural decisions.
Optimizes multi-directory context and specialized instructions for complex monorepo structures within Claude Code.
Automates GitHub release workflows using semantic versioning, automated changelog generation, and GitHub CLI integration.
Implements robust, scalable design systems with standardized tokens, atomic component architecture, and full accessibility compliance.
Automates GitHub release workflows using semantic versioning and changelog generation via the gh CLI.
Implements RFC 9457 Problem Details to provide standardized, machine-readable HTTP API error responses for modern backend services.
Generates professional, animated technical visualizations to showcase agent workflows, spawning logic, and system architectures using the Manim engine.
Builds type-safe, production-ready GraphQL APIs using the Strawberry library and FastAPI integration.
Implements robust API rate limiting and request throttling using Redis-backed distributed patterns like Token Bucket and Sliding Window.
Implements high-performance data fetching, caching, and optimistic UI updates using TanStack Query v5 best practices.
Optimizes Large Language Model inference for production environments using vLLM, advanced quantization, and speculative decoding techniques.
Implements a robust 8-layer security architecture to harden AI pipelines and protect LLM integrations from end-to-end vulnerabilities.
Generates high-conversion opening lines and attention-grabbing intros for video content using 12 proven copywriting patterns.
Automates end-to-end browser testing using Playwright 1.58+ with AI-assisted test generation and self-healing capabilities.
Implements automated quality gates, LLM-as-judge patterns, and RAGAS metrics to ensure reliable and grounded AI outputs.
Implements comprehensive LLM observability using Langfuse to trace calls, manage prompts, and track token costs in production AI applications.
Protects sensitive user data by implementing automated PII detection and redaction across LLM observability pipelines and logs.
Implements WCAG-compliant, accessible UI components using Adobe's React Aria hooks and React 19 implementation patterns.
Enforces strict layer separation and Clean Architecture patterns in FastAPI projects through automated, blocking validation.
Implements code splitting and lazy loading strategies to optimize React 19 bundle performance and Core Web Vitals.
Implements complex background task patterns, enterprise workflows, and production-grade monitoring for Celery in Python environments.
Manages database schema history and change management patterns across environments using industry-standard versioning strategies.
Analyzes and troubleshoots historical and real-time error patterns within Claude Code sessions to streamline debugging.
Implements high-performance Python concurrency using modern structured patterns, TaskGroups, and robust error handling for Python 3.11+ applications.
Conducts deep code reviews using a fleet of parallel specialized agents for quality, security, and architectural integrity.
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