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.
Use when building REST API endpoints, server-side data processing, or backend HTTP handlers. Use only when the user specifically asks for a backend endpoint. Triggers include API, endpoint, backend, server route, HTTP methods, CRUD operations, data mutations, server-side validation, form handling.
This skill helps you design and optimize production-grade GCP Cloud Run apps and event-driven patterns with best practices for latency, scalability, and
This skill guides gradual legacy modernization using the strangler fig pattern, coordinating specialized agents to minimize risk while delivering continuous
This skill helps you implement distributed tracing with Jaeger and Tempo to trace requests across microservices and identify bottlenecks.
This skill deploys autonomous sub-agents to plan, hire, and execute complex coding missions within the Antigravity IDE.
This skill helps you write Deno/TypeScript scripts for Windmill by guiding structure, imports, and resource usage.
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.