Loading...
Loading...
Found 292 Skills
Build Model Context Protocol servers and implementations. Creates protocol-compliant tools and integrations for AI-powered applications.
Collaborate on document creation and refinement. Merges contributions, manages versions, and produces unified documents from multiple sources.
Research and investigate business prospects and leads. Gathers company information, contact details, and qualification data for sales.
Orchestrate multi-service AWS workflows with autonomous agents. Coordinates across compute, storage, identity, and observability services for intelligent cloud automation.
Develop software with validation requirements first. Emphasizes writing tests before implementation to guide design decisions.
Write or update backend feature documentation that follows a repo's DOCUMENTATION_GUIDELINES.md (or equivalent) across any project. Use when asked to create/update module docs, API contracts, or backend documentation that must include architecture, endpoints, payloads, Mermaid diagrams, and seeding instructions.
Structured learning roadmap for AI Agent development from LLM basics to multi-agent systems (bilingual Chinese/English)
Design, audit, and refactor production-safe agentic harnesses with provider-neutral best practices for tools, permissions, planning, context, and observability.
Build AI-driven security operations automation with ASP's agent-centric SIRP, modules, and playbooks
Bootstrap a fresh Ubuntu VPS into a complete multi-agent AI development environment with safety tools and coordination infrastructure in 30 minutes
Enable AI agents to safely make real-world merchant purchases using Snaplii's tokenized gift card payment layer with up to 10% savings.
Context layer for AI data agents - teach Claude Code, Codex, and AI agents to query data warehouses accurately with semantic layer, wiki knowledge, and MCP tools