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 analyzes Python and framework contexts to apply security best-practices and suggest secure-by-default improvements.
This skill provides up-to-date OpenAI developer docs with citations from MCP, helping you access authoritative guidance for OpenAI APIs and products.
This skill uses the Figma MCP server to fetch design context, screenshots, assets, and translate nodes into production code.
This skill generates or edits images using the OpenAI Image API via a bundled CLI, ensuring deterministic results from local runs.
This skill gathers Notion sources, synthesizes findings, and produces cited briefs or reports tailored to user goals.
This skill deploys projects to Netlify using the Netlify CLI, auto-detecting config and handling production or preview deployments for you.
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.