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 Feishu-driven R&D delivery from intake to closure using PM, developer, reviewer, and tester subagents.
This skill helps AI agents manage long-term memory and personal knowledge by storing, organizing, and retrieving memories for context and continuity.
This skill helps AI agents discover and execute external MCP tools to access legal databases, APIs, and data sources.
This skill enables OpenClaw agents to manage Microsoft Intune via Graph API, covering devices, apps, policies, users, Autopilot, scripts, and reports.
This skill lets you control your Home Assistant devices from chat, managing lights, climate, media, scenes, sensors, and automations.
This skill helps you access and analyze Google Ads campaigns and performance data via the API for OpenClaw agents.
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.