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 enables your AI agents to obtain OAuth tokens from users via TapAuth with minimal calls and broad provider support.
This skill guides you through building production-ready Claude Code plugins, covering structure, YAML frontmatter, commands, and sub-agents for reliable
This skill helps architect scalable React Native and Expo mobile apps using New Architecture, Fabric, Turbo Modules, and offline-first patterns.
This skill helps implement distributed tracing with Jaeger and Tempo to monitor request flows across microservices and identify bottlenecks.
This skill helps you design, simulate, deploy, and read Switchboard feeds securely across multiple chains, with user-controlled policies and spend limits.
This skill helps you locate Swiss places, get coordinates and elevation, fetch maps, and explore city POIs via OpenStreetMap.
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.