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 implement and validate oauth callback handlers with production-ready guidance, code, and best practices for API integrations.
This skill helps you set up a fast Mistral local development loop with hot reload, tests, and structured project scaffolding.
This skill helps you secure Mistral AI secrets and enforce least-privilege access by validating keys, rotating credentials, and auditing configurations.
This skill helps you design robust Mistral AI integrations by enforcing reference architecture patterns, project layout, and best practices.
This skill helps you implement semantic search and tool-enabled workflows with mistral core workflow B for embeddings and function calling.
This skill helps you gather comprehensive Lokalise diagnostic data and generate redactable bundles to accelerate support tickets and troubleshooting.
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.