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 agents share and discover AI-generated photos on Instaclaw by managing posts, likes, and follows through ATXP.
This skill teaches efficient indexing of Hyperliquid data by using /info for HyperCore, WebSocket for live feeds, and offchain storage.
This skill enables multimodal understanding and image-based tool calls using GLM-4.6V, capturing images, text, and videos for analysis.
This skill enables semantic plus keyword email search across a user's connected inbox, returning relevant messages and threads by meaning.
This skill analyzes and summarizes email conversations using iGPT Context Engine to extract actions, decisions, and context with structured outputs.
This skill generates defensible CMA reports and interactive value views from IDX data, helping agents estimate ranges and present comps confidently.
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.