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 develop interactive proofs using typed holes in the Narya proof assistant, guiding gap filling and proof construction.
This skill enables advanced hive mind coordination with queen-led agents, consensus, and persistent memory to optimize multi-agent collaboration.
This skill enables temporal versioning and ACSet-driven schema generation for DuckDB, empowering historical queries and schema automation.
This skill helps you compare compositional ACSet schemas across DuckDB and LanceDB to reveal density, versioning, and traversal trade-offs.
This skill analyzes bmorphism's starred repositories and MCP server constellation to reveal top trends in applied category theory and tooling.
This skill maps research community collaborations by querying GitHub data and presenting interconnected cobordisms across topological science ecosystems.
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.