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 high-quality MCP servers that enable LLMs to safely interact with external services via well-structured tools across Python or
This skill helps you secure and automate IoT deployments by guiding protocol selection, hardening, and Home Assistant integration.
This skill helps you leverage LangChain prompt templates to design reusable prompts, boosting consistency and efficiency in building AI tools.
This skill helps you create and reuse a summarize article prompt template in LangChain to streamline content summarization tasks.
This skill enables autonomous agents to route secure peer-to-peer messaging, contracts, and optional value transfers through a private, configurable network.
This skill helps manage Google Cloud resources via gcloud CLI, enabling compute, storage, and functions tasks efficiently.
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.