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 plan and execute Juicebox SDK upgrades safely, minimizing disruption while applying breaking-change migrations.
This skill installs the Juicebox SDK, configures API key authentication, and verifies connectivity for seamless Juicebox integration.
This skill provides production-ready Juicebox SDK patterns including error handling, retries, caching, and observability for robust integrations.
This skill enriches candidate profiles by aggregating contact, experience, education, and skills into a structured, freshness-tracked profile.
This skill helps you set up Juicebox CI/CD with GitHub Actions and tests, streamlining integration and deployment workflows.
This skill configures a fast Juicebox local development loop with mock data, test utilities, and hot reload for rapid iteration.
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.