Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
103 skills found
Manage, sync, and apply AI agent skills, kits, and presets using the Skills Hub CLI. Streamline your project setup by browsing catalogs, inspecting configurations, and deploying curated instruction policies and skill packages.
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.
Comprehensive secure coding guidelines for 15+ languages, covering OWASP Top 10, infrastructure security, and best practices to identify vulnerabilities in code, configurations, and cloud setups.
Generate Software Bill of Materials (SBOM) for container images and filesystems using Syft. Supports 28+ ecosystems, multiple formats like CycloneDX and SPDX, and integration into CI/CD for supply chain security.
Create, manage, and debug dlt (data load tool) pipelines for ingesting data from APIs, databases, and custom sources into destinations like DuckDB, BigQuery, and Snowflake.
Perform comprehensive code reviews with a focus on security vulnerabilities, performance optimization, maintainability, and code correctness.
Package entire code repositories into single, AI-optimized files. Ideal for providing codebase context to LLMs like Claude, ChatGPT, and Gemini for analysis, security audits, and bug investigations.
Automate regulatory compliance testing for GDPR, CCPA, HIPAA, SOC2, and PCI-DSS to ensure legal adherence, prepare for audits, and secure sensitive data.
6-phase read-only Python analysis workflow that identifies design principle violations, code smells, and modernization opportunities based on specific project types (POC to Open Source).
Map the attack surface of smart contract codebases by identifying and categorizing state-changing entry points.
Find similar vulnerabilities and bugs across codebases using pattern-based analysis. Use when hunting bug variants, building CodeQL/Semgrep queries, or performing systematic code audits.
A systematic code auditing framework for identifying technical debt, security vulnerabilities, dead code, and code quality issues in software projects.