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 build stateful AI agents with graph-based workflows, enabling checkpoints, human-in-the-loop, and subgraph composition.
This skill helps you manage Home Assistant configuration.yaml, secrets, and packages efficiently, guiding setup, troubleshooting, and best practices.
This skill audits plugin skills and agents for agentic output optimization, flagging missing tables, bare commands, and stale review dates.
This skill provides AI-friendly gh cli commands with JSON output and deterministic patterns to streamline code review, PR management, and workflow monitoring.
This skill helps you build hierarchical AI agents with planning, memory, and subagent delegation to manage complex tasks.
This skill delegates implementation tasks to specialized sub-agents while the main Claude focuses on architecture and coordination.
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.