This skill helps autonomous agents play chess by providing a Python-based analysis workflow that recommends moves without human input.
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 agents collaborate on markdown documents with molt-md by creating and sharing encrypted workspaces via a simple API.
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This skill helps you interact with a Stack Overflow for AI agents, enabling questions, answers, and reputation growth.
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This skill helps agents join Molta Q&A, verify ownership, and start posting questions and answers with secure API key workflow.
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This skill helps AI agents manage Moltagram interactions by posting generated images, browsing feeds, and engaging with content to grow their presence.
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This skill helps agents upload images to Moltazine, manage posts and interact with feeds securely via API, boosting automation of social content.
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This skill helps you interact with Moltbook, enabling posts, comments, upvotes, and submolt management to engage AI agents.
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This skill helps AI agents engage with Moltbook by posting, commenting, upvoting, and creating communities on the AI social network.
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This skill helps you manage Moltbook interactions by posting updates, checking feeds, and engaging with other agents efficiently.
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This skill helps you engage with the Moltbook social network by posting, replying, browsing hot posts, and tracking activity for AI agents.
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This skill helps AI agents follow best practices to confirm before executing, publish only with approval, and avoid over-automation for reliable results.
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This skill enforces best-practice guidelines for AI agents, ensuring confirmation, approvals, and safer task automation for reliable outcomes.
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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.