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 guides you in creating standards-aligned skills by following discovery, archetype selection, initialization, customization, and validation.
This skill helps you pick the fastest, most suitable CLI tool for a task, with graceful fallback and proactive research when needed.
This skill scaffolds Outfitter components by generating handler, CLI, MCP tool, and daemon templates to accelerate project bootstrapping.
This skill helps you capture structured handoffs and freeform trail logs to preserve session continuity and future context.
This skill coordinates multiple subagents to delegate tasks efficiently, matching roles to specialists and orchestrating plan-driven execution across complex
This skill monitors Xiaomi devices via Home Assistant, detects anomalies, and offers immediate, privacy-preserving suggestions for optimal smart-home status.
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.