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 provides a senior release review for macOS and iOS apps, identifying security, privacy, UX, and distribution issues with actionable fixes.
This skill generates a complete feature flag infrastructure with local defaults, remote config, SwiftUI integration, and a debug menu for iOS/macOS apps.
This skill generates a protocol-based analytics setup with swappable providers to track events without changing app code.
This skill guides you to build a WebRTC signaling server with PocketBase, enabling peer-to-peer video calls and SSE-based real-time updates.
This skill helps you design and query a graph database in Flutter using Drift and SQLite to model and traverse relationships.
This skill explains how to embed a Lit web component inside a Flutter app to access native APIs and enable hybrid functionality.
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.