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 enhances an existing plan by assigning parallel research agents to each section, delivering depth, best practices, and concrete implementation
This skill helps you build type-safe, modular, testable LLM apps in Ruby using DSPy.rb to define signatures, tools, and optimized prompts.
This skill helps you verify Claude Code Skill content accuracy by auditing SKILL.md and references, ensuring claims stay current.
This skill performs a comprehensive agent-native architecture audit by launching parallel sub-agents to score and report gaps against eight core principles.
This skill helps you design agent-native systems where agents are first-class, enabling atomic tools, loop execution, and open-ended capability.
Create and manage Home Assistant YAML configuration files including automations, scripts, templates, blueprints, Lovelace dashboards, and file organization. Use when working with Home Assistant configuration files (.yaml, .yml) or discussing HA automations, scripts, sensors, or dashboards.
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.