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 convert a web app into a hybrid MCP App, enabling seamless standalone and MCP-host rendering from a single codebase.
This skill helps you enrich an MCP server by adding interactive UI to tools using the MCP Apps SDK.
This skill creates or refactors Codex skills with minimal diffs, updating frontmatter, SKILL.md, and agents/openai.yaml while keeping lean.
This skill audits an API surface for SDK readiness, delivering a scorecard, concrete refactors, and OpenAPI fixes to improve client generation.
This skill discovers project constraints by running five parallel agents to map degrees of freedom and guide safe development.
This skill generates user-friendly release notes by analyzing code changes, PRs, and issues to inform stakeholders.
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.