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 daysfrontend-developer skill by olehsvyrydov/ai-development-team
Senior Frontend Developer with 10+ years web and mobile experience. Use when implementing React/Next.js features, building React Native/Expo apps, writing TypeScript, creating UI components, implementing state management, or styling with TailwindCSS.
Review links
Updated in 180 daysplatform-strategy skill by oldwinter/skills
Create a Platform Strategy Pack (platform-as-product charter, interface map, lifecycle stage, ecosystem/moat model, governance, metrics, roadmap). Use for platform strategy, developer platforms, APIs, AI platforms, and ecosystems.
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Updated in 180 daysaws-cli skill by oldwinter/skills
This skill should be used when users need to interact with AWS services via CLI. It covers all AWS services including EC2, ECS, EKS, Lambda, S3, RDS, DynamoDB, VPC, Route53, CloudFront, Bedrock, Support, Billing, and more. Supports querying, creating, modifying, deleting resources, monitoring, debugging, and cost analysis. Triggers on requests mentioning AW...
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Updated in 180 daysworkflow-creator skill by oimiragieo/agent-studio
This skill creates enterprise multi-agent orchestration workflows, coordinating phases and agents to automate complex tasks across systems.
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Updated in 180 daysolakai-create-agent skill by olakai-ai/olakai-skills
Create a new AI agent with Olakai monitoring from scratch. AUTO-INVOKE when user wants to: build a new AI agent, create an AI workflow, set up a new chatbot or copilot, implement an autonomous agent, design an AI-powered feature, start a new project with AI observability, or add KPI tracking and governance to a new AI system. TRIGGER KEYWORDS: olakai, creat...
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Updated in 180 daysolakai-troubleshoot skill by olakai-ai/olakai-skills
Troubleshoot Olakai monitoring issues when something isn't working. AUTO-INVOKE when user mentions: events not appearing, KPIs showing wrong values, KPIs showing strings instead of numbers, custom data missing, null KPIs, authentication errors, CLI not working, events not associated with agent, monitoring broken, SDK errors, or any Olakai-related problem. T...
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Recent page 225 / 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.
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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.