Agent Skills Hub

spec-to-code-compliance

Verifies blockchain smart contract code against technical specifications, whitepapers, and design documents to ensure exact implementation compliance.

Verification & Quality Assurance

A robust verification and QA system for software agents featuring real-time truth scoring, automated code validation, and instant rollback capabilities to maintain high reliability.

parallel-worktrees

Create and manage git worktrees for parallel coding sessions. Enable zero-dead-time development by running tests, builds, and multiple branch sessions simultaneously without interference.

polars

High-performance in-memory DataFrame library for Python and Rust. Features lazy evaluation, parallel execution, and an Apache Arrow backend for efficient ETL, data processing, and faster pandas alternatives.

sequential-thinking

Structured reasoning tool for complex problem decomposition, step-by-step analysis, consistency verification, and evidence-based synthesis with confidence scoring.

frontend-design-review

Review, audit, and build production-grade frontend interfaces with high design quality, accessibility standards, and design system compliance.

pixel-art

Generate bespoke pixel art SVG illustrations for your documentation, READMEs, and presentations. Perfect for character sprites, chat dialogue visualizations, and custom branding.

pci-compliance

Implement PCI DSS compliance for secure payment processing, cardholder data protection, and audit preparation using standardized security patterns.

rds

AWS RDS management for provisioning, scaling, and operational maintenance of managed relational databases including MySQL, PostgreSQL, and Aurora.

tamagui-best-practices

Tamagui library best practices for architecture, configuration, compiler optimization, and component patterns.

tdd-enforce

Enforce Test-Driven Development (TDD) via pre-commit hooks and CI/CD coverage gates. Automates test execution and ensures compliance with minimum code coverage thresholds.

karpathy-guidelines

Behavioral guidelines for LLMs to reduce coding mistakes, follow best practices, and improve output quality by enforcing simplicity, surgical changes, and goal-driven verification.