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 write effective specs and design documents by guiding fidelity, prototyping, and focus on moving pieces.
This skill helps you define an AI product strategy by guiding build vs buy, architecture, and iteration plans.
Interpret validation errors and guide fixing them. Use when encountering validation errors, validation warnings, false positives, operator structure issues, or need help understanding validation results. Also use when asking about validation profiles, error types, or the validation loop process.
This skill helps you configure n8n nodes efficiently by guiding operation-aware fields, dependencies, and the right discovery method.
This skill installs and configures the appropriate data-client package for your project type and protocol, then delegates to protocol-specific setup.
This skill configures @data-client/endpoint to wrap custom async functions for non-REST/GraphQL patterns with Data Client hooks.
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.