logo-creator
Creates logos with AI image generation based on style and aspect-ratio preferences. Supports variations, feedback-driven iteration, cropping, background removal, and SVG export for logos, icons, favicons, mascots, and emblems.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Creates logos with AI image generation based on style and aspect-ratio preferences. Supports variations, feedback-driven iteration, cropping, background removal, and SVG export for logos, icons, favicons, mascots, and emblems.
Reviews Xiaohongshu posts for content quality, keyword optimization, headline appeal, sensitive content risks, commercialization, and engagement potential. Supports prepublication review and content improvements aimed at increasing visibility.
Provides Java AWS Lambda integration patterns, including Micronaut and Raw Java approaches. Covers deployment, API Gateway or ALB integration, and optimization targeting cold starts below one second.
Reviews code for memory leaks and incorrect disposal of resources. Covers DOM handlers, event listeners, lifecycle callbacks, and patterns involving DisposableStore, MutableDisposable, Event.once, and onWillDispose.
Assists with provisioning Spanner instances and databases and designing performant schemas. Covers primary key design, SQL queries, client library code, and performance diagnosis.
Automates navigation, clicks, forms, JavaScript execution, snapshots, and screenshots in a real Chrome session. Inspects console and network activity, tests web flows, extracts content, and audits performance.
Guides database schema definition and validation with proper typing. Covers index configuration, optional fields, unions, and migration strategies for schema changes.
Implements stats and leveling, inventory and equipment, quests, and branching dialogue. Covers save/load and combat systems for RPGs and JRPGs.
Uses Cursor Agent CLI (cursor-agent) to implement coding tasks or task queues in the background. The delegating agent remains responsible for reviewing the diff and integrating the changes.
Examines 40 patterns in AI-generated Korean text, including excessive commas, translation-like phrasing, repetitive vocabulary, and monotonous structure. Uses three severity levels to guide revisions toward more natural writing.
Supports architecture, entity-relationship, sequence, class, and network diagrams, along with flowcharts, mockups, and wireframes. Handles draw.io files and diagram exports to PNG, SVG, and PDF.
Uses notebooklm-mcp-cli to interact with Google NotebookLM for retrieval and synthesis. Covers documentation queries, research notebook and source management, contextual knowledge-base queries, and generation of reports or audio podcasts.
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