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 orchestrates multiple Claude Code agents to decompose tasks, assign roles, and coordinate subtasks across a team for faster delivery.
This skill orchestrates parallel scientist agents to conduct comprehensive research with optional AUTO mode for autonomous end-to-end results.
This skill helps generate and validate OpenAPI 3.1 specifications from code or design-first inputs, ensuring accurate API contracts and documentation.
This skill orchestrates parallel external context searches by routing facets to document-specialist agents and synthesizing results for actionable insights.
This skill generates comprehensive, hierarchical AGENTS.md documentation across the codebase to guide AI agents through structure and dependencies.
This skill analyzes emails, summarizes content, determines whether a reply is needed, and drafts professional responses using contextual knowledge.
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.