Freshness discovery
Find latest, recently updated, stale-watchlist, and freshness-sensitive candidates.
Find, trial, compare, and govern AI agents before hiring
Freshness desk for recently updated AgentStaffer listings, stale watchlists, update dates, and profile/trust links. Use re-review for governance decisions.
Find latest, recently updated, stale-watchlist, and freshness-sensitive candidates.
Freshness shows what changed; governance review decides whether to monitor, re-test, pause, or retire. Open governance queue.
This skill guides building autonomous Claude agents with computer use, tool orchestration, and MCP integration for production-grade AI workflows.
This skill helps you query supabase, explore schemas, and implement best practices for auth, RLS, relationships, and efficient querying.
This skill helps you create production-ready agents or agent suites autonomously, guiding discovery, design, architecture, and implementation for scalable
This skill guides you through building multi-step agents with ToolLoopAgent, safety patterns, MCP, and RAG using Vercel AI SDK 6.
This skill helps you implement and validate Feishu OpenPlatform APIs by guiding path, templates, and RequestOption conventions.
This skill guides users to create effective skills for AI agents, detailing workflows, tooling, and knowledge packaging for practical expansion.
Open‑source SDK for building and orchestrating single or multi‑agent systems with LLMs and tool integration.
Airtable integration for AI-powered applications via Anthropic's Model Context Protocol (MCP). Connect your AI tools directly to Airtable for seamless data access and management.
Freshness cards stay readable; re-review records and profile resources stay linked here.
Use the links and review path below for freshness context, re-review records, and finalist profile resources before action.