AI-native email for business
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.
An empathetic treatment coordinator for every patient that boosts case acceptance. Educate and build trust with your patients even when they're out of the ch…
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An experimental open-source attempt to make GPT-4 fully autonomous.
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Drive customer revenue with AI built for retention, cross-sell and upsell.
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This skill helps you manage long-term, context-aware memories for LLM agents by storing, synthesizing, and retrieving intelligent memories.
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Scrape Websites and turn them into APIs
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Simulate your customer base
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Sint Protocol is an open-source runtime security and governance layer for AI agents, MCP tools, robotics, industrial automation, and physical AI. It is written in TypeScript and enforces policies on autonomous actions and system interactions.
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This skill enables AI agents to manage Siyuan notes via CLI, enabling fast notebook handling, document operations, and content search.
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Be yourself at Scale through AI email automation
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Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
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Evaluates agent skills against Anthropic's best practices. Use when asked to review, evaluate, assess, or audit a skill for quality. Analyzes SKILL.md structure, naming conventions, description quality, content organization, and identifies anti-patterns. Produces actionable improvement recommendations.
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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.