libragent-quality
Comprehensive code quality validation for LibrAgent, covering TypeScript frontend and Rust/Tauri backend via automated linting, formatting, type checking, and build verification.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
225 skills found
Comprehensive code quality validation for LibrAgent, covering TypeScript frontend and Rust/Tauri backend via automated linting, formatting, type checking, and build verification.
🛡️ GDPR & LGPD Privacy Guardian: Automated compliance scanner that detects PII exposure, insecure logging, and tracking violations in your codebase to prevent regulatory fines.
Comprehensive guide for integrating Stripe payments, including one-time charges, subscriptions, and security best practices.
Scaffold and implement authentication in TypeScript/JavaScript apps using Better Auth. Detects frameworks, configures database adapters, sets up route handlers, adds OAuth providers, and scaffolds UI pages.
Automated LaTeX compilation, error diagnosis, and PDF verification pipeline for academic paper submissions.
Automated compliance validation tool for collector bot packages using 8 specialized parallel agents.
Base ecosystem skill for Refly. Creates, discovers, and runs domain-specific skills, routes user intent to workflows via symlinks, and automates multi-step pipelines via the Refly CLI.
Project bootstrap for Claude Code with safety guardrails, git workflow automation, project auditing, and structured multi-phase planning.
The foundational skill for the Superpowers methodology. Ensures agents correctly identify and invoke required development skills before starting any task or conversation.
Implement PCI DSS compliance for secure payment processing, cardholder data protection, and audit preparation using standardized security patterns.
Generate, maintain, and validate OpenAPI 3.1 specifications for RESTful APIs. Streamline documentation, SDK generation, and contract compliance.
Accelerate software delivery by shifting testing to the earliest development phases, using AI-driven requirements validation, TDD, and automated CI pipelines to reduce defect costs.