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 helps you build, evaluate, and deploy AI agents with Google ADK Python for multi-agent systems, tooling, and Vertex AI deployment.
This skill helps you build robust MCP servers for LLM-external service integration, enabling tool design, API access, and scalable workflows.
This skill helps you build and coordinate Cloudflare Workers-based AI agents with WebSockets, durable objects, and scheduling for scalable workflows.
This skill enables fast, accurate semantic search and RAG workflows by generating Gemini embeddings and guiding batch, normalization, and error handling.
This skill performs data analysis and statistical computation on structured data, delivering insights, summaries, and actionable metrics for business, finance,
This skill delivers verifiable, sourced news briefs with timestamps and links, ensuring trustworthiness and traceability for every item.
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.