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 learning through Socratic questioning, asking one focused question at a time to help you discover solutions.
This skill performs exhaustive research with full citations and structured findings to support critical decisions.
This skill helps you document architecture and high-level system design, emphasizing interfaces, data flows, and decision rationale.
This skill helps identify and eliminate technical debt by auditing code for smells, dead code, and unused imports, improving maintainability.
Quick reference for Mastra conventions. When to use agents vs workflows, required TypeScript config, project structure, and common code patterns.
Create distinctive, production-grade Svelte/TypeScript frontends with exceptional design quality
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.