Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
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Run score Not tested
See how to installReview the instructions the agent will receive before you install.
This skill takes your images and screenshots and makes them look better—sharper, clearer, and more professional.
Improve the image quality of screenshot.png
Enhance all images in this folder
Upscale this image to 4K resolution
Sharpen this blurry screenshot
Reduce compression artifacts in this image
Improve the quality of all PNG files in this directory
User: "Improve the image quality of screenshot-2024.png"
Output:
Analyzing screenshot-2024.png...
Current specs:
- Resolution: 1920x1080
- Format: PNG
- Quality: Good, but slight blur
Enhancements applied:
✓ Upscaled to 2560x1440 (retina)
✓ Sharpened edges
✓ Enhanced text clarity
✓ Optimized file size
Saved as: screenshot-2024-enhanced.png
Original preserved as: screenshot-2024-original.png
Inspired by: Lenny Rachitsky's workflow from his newsletter - used for screenshots in his articles
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Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.
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Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
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Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.
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This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
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Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
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Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
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