Explore our collection of Agent Skills to enhance your AI workflow.
Guides the creation of high-performing Claude Code sub-agents by applying architectural best practices and avoiding common implementation pitfalls.
Designs and executes controlled failure experiments to validate system resilience and recovery mechanisms.
Creates distinctive, production-grade frontend interfaces that avoid generic AI aesthetics through bold design thinking and meticulous styling.
Provides expert guidance and implementation patterns for designing robust, deterministic Claude Code hooks.
Standardizes the development lifecycle by orchestrating specialized agents through a structured requirement-to-merge workflow.
Systematically tests web UI functionality, validates design fidelity with AI visual analysis, and monitors browser console logs for real-time debugging.
Automates the creation and editing of end-to-end (E2E) testing scenarios for the Probitas ecosystem using a specialized AI agent.
Architects high-performance Python backends using FastAPI, SQLAlchemy 2.0, and modern Pydantic validation.
Validates implementation readiness by assessing technical feasibility, architectural alignment, and duplicate code checks before execution.
Generates production-ready, well-documented Terraform modules and infrastructure-as-code structures from natural language requirements.
Implements industry-standard testing patterns and best practices to ensure code reliability and quality across any development framework.
Stratifies project specifications into complexity-based layers and assigns tasks to specialized AI agents for optimized parallel execution.
Guides visual direction by applying historical design principles and modern CSS patterns from Bauhaus to Postmodernism.
Monitors PostgreSQL and MySQL health using real-time metrics and predictive alerts to ensure database performance and uptime.
Streamlines the development of high-performance TypeScript APIs using modern frameworks like Hono, NestJS, and Drizzle ORM.
Orchestrates end-to-end machine learning pipelines from automated data preparation through model training, validation, and production deployment.
Generates professional, brand-consistent PDF ebooks, checklists, and cheatsheets directly from Markdown content.
Conducts professional security audits, vulnerability scans, and compliance checks across codebases and infrastructure configurations.
Manages the organization, pairing logic, and scoring systems for Americano and Mexicano padel tournaments.
Prevents common testing mistakes like mocking internal behavior and polluting production code with test-only methods.
Automatically transforms blog posts into optimized formats for social media, newsletters, and cross-platform distribution.
Transforms prediction market datasets into standardized Nixtla formats for seamless time-series forecasting.
Validates implementation readiness through a rigorous 90% confidence threshold to prevent architectural errors and code duplication.
Orchestrates complex multi-agent workflows and autonomous graph architectures using the LangGraph framework.
Tracks end-to-end document flows in Odoo, automates financial audits, and manages complex bank reconciliations.
Generates production-ready infrastructure-as-code configurations across multiple cloud providers using natural language prompts.
Manages project tasks and issue tracking workflows directly within Claude Code using the Beads issue tracker.
Automates the creation of structured Draft Pull Requests using GitHub CLI with semantic titles and template-based descriptions.
Streamlines the development of Tauri commands by managing cross-platform communication, naming conventions, and error handling between TypeScript and Rust.
Optimizes neural network performance by automatically applying advanced training algorithms, learning rate schedules, and regularization techniques.
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