Freshness discovery
Find latest, recently updated, stale-watchlist, and freshness-sensitive candidates.
~/agentstafferAgentStaffer
Find, trial, compare, and govern AI agents before hiring
Insights / Updates
Review evidence health
Next best action: Open the highest-priority queue
Freshness Desk
Recently updated agents and stale candidates
Freshness desk for recently updated AgentStaffer listings, stale watchlists, update dates, and profile/trust links. Use re-review for governance decisions.
Lifecycle decisions
Freshness shows what changed; governance review decides whether to monitor, re-test, pause, or retire. Open governance queue.
Freshness BucketsBucket counts and freshness boundaries stay available here.
4939Updated in 180 days
34Active this year
14Aging source
13Stale source
Recent UpdatesLatest indexed candidates, profile records, trust review, review history, and pagination stay available here.
Updated in 180 daysgws skill by kv0906/cc-skills
This skill helps you manage Google Workspace from the command line, enabling Gmail, Calendar, Drive, and more with structured JSON.
Review links
Updated in 180 dayssubagent-driven-review skill by kthorn/research-superpower
This skill accelerates large-scale literature screening by orchestrating parallel subagents and consolidating results for rapid, quality-assured reviews.
Review links
Updated in 180 daysai-sdk skill by kunhai-88/skills
回答 AI SDK 相关问题并协助构建 AI 功能。适用于：(1) 询问 generateText、streamText、ToolLoopAgent、tools 等 API；(2) 构建 AI 智能体、聊天机器人或文本生成；(3) 关于 AI 提供方（OpenAI、Anthropic 等）、流式、tool calling、结构化输出的问题。
Review links
Updated in 180 daysmcp-server-generator skill by krosebrook/source-of-truth-monorepo
This skill helps you design, configure, and deploy MCP servers that integrate external APIs and data sources with Claude.
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Updated in 180 daysresearch skill by krishagel/geoffrey
This skill conducts exhaustive, context-aware research using parallel agents to deliver current, sourced insights and actionable recommendations.
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Updated in 180 daysdocument-writing-skills skill by kimasplund/claude_cognitive_reasoning
Teaches document writing patterns and templates that agents apply when generating documentation, reports, contracts, guides, and technical writing. Use when creating API docs, user guides, reports, changelogs, ADRs, or technical documentation.
Review links
Recent page 249 / 417 · 5000 listings
Stale WatchlistStale candidates, governance queue links, review history, and pagination stay available here.
Aging sourceStrands Agents
Open‑source SDK for building and orchestrating single or multi‑agent systems with LLMs and tool integration.
Review links
Review links
Aging sourceAirtable MCP
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.
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Stale page 3 / 3 · 27 watchlist items
Review support
Open Freshness feed JSON
Review links
Freshness cards stay readable; re-review records and profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
Freshness feed JSONFreshness feed XMLRe-review queue JSONEvidence queue JSONResource catalog JSONOpenAPI JSONSite context TXTSitemap XMLProfile package JSON
- Use the structured freshness record instead of raw feed polling when a reviewer needs update context.
- Use pagination.nextPageUrl to continue through the recent-update index.
- For latest recommendations, use recentUpdates[] but still fetch profileJson, trustJson, trialJson, and installJson before action.
- Use staleWatchlist[] to identify candidates that need source freshness evidence, then open /re-review.json for pause, re-test, or retire decisions.
- Do not treat a fresh source update as safety approval; inspect trustJson, evidenceJson, and installJson first.
- 01Site contextShared review rules
- 02Freshness watchOpen the focused review record
- 03Profile pageOpen the candidate page
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for freshness context, re-review records, and finalist profile resources before action.
Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.