Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
326 skills found
Foundational architectural principles for MoAI-ADK, featuring TRUST 5, SPEC-First TDD, delegation patterns, and token-efficient agent orchestration workflows.
Automates the creation of Betty Framework skills by scaffolding directory structures, generating YAML manifests, and handling registry registration.
C programming language expert for memory management, systems programming, low-level optimization, and debugging best practices.
Generate a production-ready Go API service with boilerplate for observability, local development, and clean architecture.
Expert SQL agent for modern database systems, query optimization, HTAP environments, and data architecture patterns. Optimize performance, schema design, and analytical workloads effectively.
A professional code quality suite for software engineers, implementing SOLID principles, design patterns, refactoring techniques, and technical debt management to ensure clean, maintainable, and production-ready code.
A security scanner for Claude Skills to detect malicious code, data exfiltration risks, and unauthorized system access before installation.
Manage Python environments and packages using uv. Expert guidance for fast, modern project setup, dependency management, script execution, and tool installation as a drop-in replacement for pip, virtualenv, and poetry.
Develop, test, sign, and publish governance plugins for Memoria using Rhai or gRPC runtimes. Manage the full plugin lifecycle from scaffolding to activation.
Upstash Vector DB setup, semantic search, namespaces, and embedding models. Ideal for building high-performance vector search features in Next.js 16/Vercel projects.
Production-grade observability stack featuring Prometheus metrics, Grafana dashboarding, PromQL query language, alerting rules, and AI-powered anomaly detection for cloud-native applications.
Enforces disciplined Test-Driven Development (TDD) by requiring a failing test before implementation, ensuring code reliability and preventing premature over-engineering.