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.
Setup and configure assistant-ui in a project. Use when installing packages, configuring runtimes, or troubleshooting setup issues.
This skill helps you accelerate metadata integrations and automation with OpenMetadata SDKs and REST APIs for querying, ingesting, and governance.
This skill enables you to author, validate, and package Claude skills using test-driven documentation to ensure reliable deployment.
This skill helps you build high-quality MCP servers to enable LLMs to safely interact with external services through well-designed tools.
This skill helps you design and publish robust .NET libraries with multi-targeting, clean APIs, and NuGet packaging best practices.
This skill guides systematic bug investigation, regression testing, and documentation, generating a formal bugfix report and coordinating branch work.
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.