Explore our collection of Agent Skills to enhance your AI workflow.
Ensures application reliability by implementing multi-layered validation patterns that make structural bugs and data corruption impossible to reproduce.
Automates a multi-agent design review process immediately following the creation of design documents to ensure technical and product readiness.
Automates GitHub Issue resolution through a coordinated swarm of specialized AI agents and deterministic task tracking.
Stores architectural decisions, coding patterns, and lessons learned in a persistent knowledge graph for Claude Code.
Ensures the integrity and quality of AI evaluation datasets through automated schema validation, duplicate detection, and coverage analysis.
Eliminates flaky tests and race conditions by replacing arbitrary timeouts with smart, deterministic condition polling.
Automates GitHub release workflows using semantic versioning and the gh CLI to streamline production delivery.
Provides expert guidance for creating secure, context-aware Latte templates with intuitive syntax and powerful inheritance for Nette applications.
Creates reusable, agent-executable slash commands to automate repetitive developer workflows.
Optimizes Nette framework configuration by managing NEON files, service definitions, and dependency injection patterns.
Optimizes LLM context windows through strategic positioning, token budgeting, and attention-aware design to maximize signal and reduce costs.
Provides non-invasive PHP debugging, profiling, and execution tracing tools powered by Xdebug.
Implements rigorous end-to-end type safety and runtime validation using Zod, tRPC, and Prisma for robust TypeScript and Python applications.
Executes multi-step implementation plans in controlled batches with built-in review checkpoints and mandatory verification.
Implements high-performance parallel execution patterns for LangGraph workflows using fan-out, fan-in, and map-reduce strategies.
Persists and retrieves long-term semantic information across sessions to maintain technical context and project continuity.
Enforces modern testing best practices and quality gates by validating patterns, naming, and coverage thresholds.
Accelerates repository onboarding and architectural understanding through parallel multi-agent codebase analysis.
Architects scalable, accessible UI design systems using design tokens, atomic component patterns, and WCAG-compliant implementation guides.
Standardizes a rigorous, technical-first approach to processing and implementing code review feedback without performative agreement.
Manages multiple parallel Claude Code instances across Git worktrees to prevent file conflicts and synchronize architectural decisions.
Implements production-grade fault tolerance patterns like circuit breakers, bulkheads, and retries for robust distributed systems and LLM integrations.
Implements dynamic, state-based routing and retry logic for complex LangGraph AI agent workflows.
Streamlines the process of contributing custom Claude Code skills to upstream repositories using standardized Git and GitHub CLI workflows.
Generates comprehensive GitHub issues with embedded TDD plans and autonomous agent instructions for full pull request lifecycle management.
Optimizes Claude's memory by compressing conversation history while preserving critical task data and session intent.
Guides the architectural design of Nette web applications using modern best practices and domain-driven organization.
Optimizes Nette framework frontend workflows by integrating modern build tools like Vite, SCSS, and TypeScript with the Nette Assets system.
Coordinates complex multi-agent workflows using a central supervisor to route tasks among specialized LangGraph workers.
Implements robust state management patterns for LangGraph workflows using TypedDict, Pydantic, and custom reducers.
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