Browse Content skills for Claude Code, Cursor, Codex and more AI coding agents.
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 apply context-driven testing decisions by analyzing project context and adapting methods to fit constraints and risks.
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This skill helps you understand and design efficient context windows for AI agents, optimizing loading and budgeting across systems.
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Design memory hierarchy with progressive loading for optimal context management. Use when organizing CLAUDE.md imports, implementing just-in-time context loading, or designing priming hierarchies for agents.
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This skill helps you manage long-running tasks and preserve state across context compaction by using persistent Task operations and delegated exploration.
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This skill analyzes your project to configure MCP servers and agents, generates context profiles, and saves token savings estimates.
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This skill maintains fast, consistent, and secure contextual data across distributed agents, optimizing retrieval, synchronization, and governance for scalable
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A Python framework for building agentic AI workflows.
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This skill provides a natural language interface to query Greek accounting data and retrieve answers across all system skills.
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Convex backend development - database, queries, mutations, actions, and real-time APIs
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This skill helps you build persistent AI agents with Convex, enabling streaming responses, tool usage, and durable workflows.
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This skill lets you tailor LLM context per call by customizing recent messages, search, and memory injection to improve relevance.
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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.