airflow
Query, manage, and troubleshoot Apache Airflow workflows using the af CLI. Features include DAG inspection, task log retrieval, run triggering, error diagnosis, and system health monitoring.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
ascii-art
A generative agent skill for creating ASCII art, optimized for rapid, single-pass artistic output without iterative refinement.
skill-vetter
Security-first vetting protocol for AI agent skills. Detects red flags like credential theft, obfuscated code, and unauthorized data exfiltration before installation.
certification-proflie
A project-specific template skill for maintaining architectural consistency, coding standards, and deployment workflows in AI-powered full-stack applications.
prd
Generate professional Product Requirements Documents (PRD) and structure features for autonomous development cycles.
gopls-mcp
Semantic Go code navigation and analysis tool using the Language Server Protocol (LSP) for accurate, high-performance project intelligence.
kungfu
Search, retrieve, and manage your KUNGFU.SH bookmarks programmatically to streamline your research and knowledge management workflows.
java-coding-standards
Enforce high-quality Java 17+ coding standards, Spring Boot conventions, and maintainable project structures.
massive-context-mcp
Process massive files and large codebases (10M+ tokens) by recursively chunking, sub-querying, and aggregating results to overcome LLM context limits.
PRISM.unified
UI component patterns and touch input handling for M5Stack Tab5 applications using M5GFX and LVGL.
frontend-design-pro
Build $50k-grade frontend interfaces with production-ready code, professional typography, and high-fidelity image integration.
2077 skills found
Query, manage, and troubleshoot Apache Airflow workflows using the af CLI. Features include DAG inspection, task log retrieval, run triggering, error diagnosis, and system health monitoring.
Automate multi-stakeholder marketing asset approvals with tiered routing, real-time status tracking, and automated escalations.
Detects AI-generated patterns in writing and suggests authentic, human-like alternatives to improve content quality and natural voice.
Operational hub for LLM system lifecycle, architecture, and deployment. Features include PEFT/LoRA fine-tuning, RAG pipelines, vLLM throughput optimization, automated drift detection, and CI/CD-integrated evaluation frameworks.
Patterns and reference implementation for integrating the Claude API into applications, including chat, streaming, tool use, and structured JSON output.
The primary entry point for orchestrating Agently projects, managing model-powered tools, defining workflows, and structuring application architectures from initial business requirements.
Orchestrate advanced Quality Engineering workflows using a fleet of 19+ AI agents, PACT principles, and automated test-to-deployment quality gates.
Quantum-resistant, self-learning version control and multi-agent coordination for AI developers and engineering teams.
Build autonomous, multi-step AI agents using Pydantic AI (Python) and Claude Agent SDK (Node.js/TypeScript).
High-performance vector search engine for AI agents featuring sub-millisecond retrieval, HNSW indexing, and quantization for efficient RAG, similarity matching, and knowledge base management.
Optimize AgentDB performance using quantization, HNSW indexing, caching, and batch operations to improve speed, memory, and scalability.
Implement high-performance persistent memory and self-learning patterns for AI agents using AgentDB. Features session memory, long-term vector storage, and hierarchical context management for stateful agent workflows.