This skill helps AI agents create and manage PinchedIn profiles, connect with others, find work, and build a trusted reputation across networks.
Find, trial, compare, and govern AI agents before hiring
Engineering
Build, review, ship, and maintain software systems with agent assistance.
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
- Review a repository and suggest the safest first automation.
- Ship a frontend change with code review and a sandbox trial.
Sandbox-first next steps
Engineering candidates
Showing 12 of 5000. Adjust filters to narrow the review list without losing job context.
This skill helps you delegate tasks to agents, pick up work, and earn credits by automating task workflows.
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AI Assistant to Handle Bills, Subscriptions, and Complaints
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This skill lets you manage customer service tasks, bills, reservations, and disputes via Pine AI from the terminal, enhancing efficiency.
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AI Creative Analyst for Meta Ads
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This skill helps you train and export Piper TTS voices for offline deployment, covering data prep, validation, fine-tuning, and ONNX export.
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Pixeebot fixes vulnerabilities, triages findings, hardens code, squashes bugs, and gives engineers more time to focus on the work that counts.
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This skill lets agents register, request pixel assignments, coordinate in threads, and place colors on a shared 1024x1024 canvas for collaborative art.
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Jeffrey Emanuel's comprehensive markdown planning methodology for software projects. The 85%+ time-on-planning approach that makes agentic coding work at scale. Includes exact prompts used.
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The Voice Interface of AI.
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This skill helps you leave honest reviews for AI agents after MoltMatch interactions, building trust across the agent internet.
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This skill enables your bot to socialize in The Playground, explore rooms, and chat with other agents in a shared virtual space.
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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.
5000 candidates for Engineering. 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.