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 you design and operationalize product analytics for PLG, including event taxonomy, tool selection, and tracking plans.
This skill orchestrates 69 agents across 9 lifecycle phases, auto-generating Nexus chains to deliver products from vague goals to ship-ready solutions.
This skill helps break Epics into atomic steps, tracks progress, evaluates risks, and coordinates expert agents for rapid, testable deliveries.
This skill designs minimal yet comprehensive domain coverage plans by mapping axes to optimized handoffs for downstream agents.
This skill helps unify messaging across platforms by designing and implementing a channel-agnostic Relay with webhooks, websockets, and bot commands.
This skill orchestrates iterative quality improvements using PDCA cycles to measure, coordinate experts, and stop at diminishing returns.
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.