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 identify error-prone APIs and dangerous configurations to prevent bugs, security risks, and reliability issues.
This skill guides building and deploying the same feature across web, mobile, and desktop via API-first contracts and parallel implementation.
This skill helps you author, validate, and publish OpenAPI 3.1 specifications with interactive docs and AI-assisted SDK generation.
This skill helps design multi-layer memory architectures from working to temporal knowledge graphs, enabling persistent agents and robust reasoning.
This skill orchestrates 100+ agents to convert PRDs into revenue-generating products with zero human intervention.
This skill helps you design and implement robust LLM applications by applying production-ready patterns for RAG, agents, prompts, and observability.
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.