Load automatically when planning, researching, or implementing ANY Medusa backend features (custom modules, API routes, workflows, data models, module links, business logic). REQUIRED for all Medusa backend work in ALL modes (planning, implementation, exploration). Contains architectural patterns, best practices, and critical rules that MCP servers don't pr...
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.
This skill helps you design and implement storefront features across pages, integrating best practices for UX, accessibility, and SEO to boost conversions.
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This skill helps you fetch and analyze football standings, schedules, and match stats across top leagues with zero config.
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An MCP Server Integration with Apple Shortcuts Browse Apple Shortcuts MCP Server for Claude, Cursor, VS Code, and other AI agents.
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Identify Azure cost savings from usage and spending data. USE FOR: optimize Azure costs, reduce Azure spending/expenses, analyze Azure costs, find cost…
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Programmatic Langfuse data access and documentation lookup via CLI and web resources. Query and modify Langfuse data (traces, prompts, datasets, scores, sessions) using the langfuse-cli via npx with full REST API schema discovery Access current Langfuse documentation through three methods: structured index (llms.txt), individual markdown pages, and cross-do...
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Instrument LLM applications with Langfuse tracing. Use when setting up Langfuse, adding observability to LLM calls, or auditing existing instrumentation.
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This skill guides Sanity developers in GROQ performance, schema design, and integration to optimize content workflows.
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Datadog skills for AI agents. Essential monitoring, logging, tracing and observability.
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Search, Query and interact with data in your Milvus Vector Database. Browse Milvus MCP Server for Claude, Cursor, VS Code, and other AI agents.
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Guidelines for implementing Auth0 authentication with best practices for security, rules, actions, and SDK integration
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AWS development best practices for Lambda, SAM, CDK, DynamoDB, IAM, and serverless architecture using Infrastructure as Code.
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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.