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 unifies access to multiple financial data sources, delivering real-time quotes, historical data, and financial metrics with a single interface.
This skill helps you develop, train, deploy, and monitor ML models and MLOps pipelines from data ingestion to serving.
This skill applies Graham's deep value framework to identify safe, discounted investments through Net-Net screening and margin-of-safety based valuation.
This skill helps you build fast, accessible, and maintainable web apps with React, Vue, and Angular, optimizing UX across devices.
This skill helps you design and implement robust CI/CD pipelines, infrastructure automation, and reliability practices across platforms to accelerate delivery.
This skill designs and implements CI/CD pipelines across GitHub Actions and GitLab, optimizing build, test, deploy automation for Rust applications.
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.