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Find, trial, compare, and govern AI agents before hiring
Design
Prototype, inspect, and improve product UI, UX, and design implementation flows.
What team job or business role does the user need filled?
Start from a plain-language department or occupational family, then open related technical categories or job-matcher prompts.
- department or team-role discovery
- plain-language job briefs
- business outcome shortlists
- non-technical browsing
Start from user language
- Audit a product screen for UI, accessibility, and implementation drift.
- Turn a design brief into build-ready frontend tasks.
Sandbox-first next steps
Design candidates
Showing 12 of 4988. Adjust filters to narrow the review list without losing job context.
Long-lived, stateful compute for AI agents, multiplayer apps, and workflow automation. Actors are persistent in-memory processes that maintain state across requests without database round trips, with automatic scaling from zero to millions of concurrent instances. Built-in realtime communication via WebSockets and events, durable queues for ordered message...
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This skill helps you implement VoltAgent best practices across agents, workflows, memory, servers, and observability to improve architecture and reliability.
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Agent S: an open agentic framework that uses computers like a human
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Use when the user wants to use the UCP CLI to find, compare, buy, or track products from online merchants, or to set up and troubleshoot the local UCP profile required for merchant-scoped operations. Covers global catalog search (\"find me X under $Y\"), named-merchant transactions (\"buy this from Z.com\"), order tracking, `ucp profile init`, `ucp doctor`,...
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This is your go-to when you're deploying AI agents on AWS Bedrock AgentCore and need to navigate its nine services without constantly context-switching between docs. It covers the full stack: Gateway for wrapping REST APIs as MCP tools, Runtime for agent deployment, Identity for credential management, and newer additions like Agent Registry for cataloging r...
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This is for when you need multiple Claude instances working together on something complex. You get four swarm topologies (mesh for research, hierarchical for dev workflows, star for testing, ring for pipelines) and can spawn specialized agents like researchers, coders, and QA engineers. The documentation walks through three real patterns: a research swarm t...
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A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: indirect prompt injection defenses, emerging agent runtimes, and production AI workflow patterns.
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Build AI agents with structured access to Sanity content via Agent Context. Use when setting up a Sanity-powered chatbot, connecting an AI assistant to Sanity…
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This skill helps sales teams prepare for calls with tailored company intel, stakeholder background, and discovery questions to accelerate wins.
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Implement web accessibility (a11y) best practices following WCAG guidelines to create inclusive, accessible user interfaces.
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Expert guidance for LangChain and LangGraph development with Python, covering chain composition, agents, memory, and RAG implementations.
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Review links
Role-family pages stay focused on plain-language job review; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
4988 candidates for Design. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role familyOpen 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 role-family candidates, job brief context, and finalist profile resources before action.