This skill helps you evaluate emergent cognition in AI agents by guiding structured self-assessment, creative reasoning, and meta cognitive probing across
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 evaluate and improve Claude Code agents by applying multi-dimensional rubrics, non-determinism considerations, and context engineering
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This skill automates creation of production-ready Claude Code agents with enhanced frontmatter, tool patterns, and MCP integration.
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This skill creates new agents, switches between them, and auto-updates the config to streamline task delegation.
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This skill helps you implement governance, safety, and audit controls for AI agents, enabling policy enforcement, threat detection, and trusted tooling.
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This skill helps you create and manage a personal home page and public inbox for agents, enabling profile updates and messaging.
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This skill enables cryptographic identity for AI agents, allowing on-chain registration, signing, verification, and linking across platforms for trusted
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This skill coordinates and optimizes persistent memory across agents, enabling cross-session retrieval, sharing, and efficient data management.
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This skill helps agents improve learning from errors by logging concise one-line learnings and promoting recurring issues to memory.
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This skill provides durable memory persistence for AI agents using SQLite-backed storage, semantic retrieval, and lifecycle management across sessions.
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This skill provides a unified memory brain for agents, enabling semantic recall, structured storage, and graph-aware memory across vector, graph, and SQL data.
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This skill provides a cross-agent semantic memory store with TTL decay and SQLite persistence to easily store, search, and retrieve memories across agents.
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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.