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 turns opencode into an Arcanean creative workspace with 64 specialized agents and real-time multi-agent collaboration.
This skill helps expert agents self-review and correct their code before sniper validation by applying BMAD-METHOD elicitation techniques.
This skill helps implement and validate interactive button and input states using motion, focus, and loading cues for accessible UI.
This skill accelerates codebase exploration by mapping structure, detecting patterns, and outlining dependencies to reveal architecture quickly.
This skill detects the optimal commit type from git changes to streamline messaging and versioning.
This skill helps you design reusable component APIs and patterns such as children, slots, and render props to improve UI composition.
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.