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 evaluate AI applications with built-in and custom evaluators from Azure AI Evaluation SDK, ensuring quality, safety, and measurable
This skill helps you build and manage AI projects with the Azure AI Projects Python SDK, enabling versioned agents, connections, deployments, datasets, and
This skill helps you perform real-time and batch Azure AI transcription with diarization and timestamps from Python applications.
This skill helps you build and manage Azure AI Agents using the Python SDK to deploy threads, messages, runs, and tools.
This skill helps you build and run Python-based AI agents with Strands SDK, enabling autonomous workflows, tool creation, and multi-agent coordination.
This skill fetches AWS CloudWatch metrics for ECS, EC2, and RDS and returns concise text summaries with actionable insights.
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.