task-search
Accelerate task retrieval with a high-performance, debounced search engine supporting multi-token AND logic, relevance ranking, and real-time text highlighting across task titles, descriptions, and tags.
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549 skills found
Accelerate task retrieval with a high-performance, debounced search engine supporting multi-token AND logic, relevance ranking, and real-time text highlighting across task titles, descriptions, and tags.
Integration patterns and best practices for TanStack Query, Router, and Start. Ensures type-safe data flow, efficient SSR, and unified caching.
Generates UI components, hero sections, and feedback forms with integrated accessibility checks, leveraging specialized design references and quality gates.
Structured, template-driven workflow for end-to-end feature development including coding, automated testing, verification, and session-based improvement.
Initiates automated reverse engineering by discovering codebase architecture, layers, and technology stacks to facilitate system modernization or documentation.
Mirror Android devices to macOS using scrcpy with integrated logcat monitoring. Perfect for developers needing real-time visual feedback and application log analysis.
Agentic AI-powered JSON i18n file translator with auto-terminology, format preservation, and incremental updates to streamline global software deployment.
Architectural expert for the SpecKit template, managing Spec-Driven Development, design patterns, and microservices lifecycle automation.
Search, discover, and refine AI prompts using the prompts.chat library. Access thousands of community-curated prompts for ChatGPT, Claude, and other AI models.
Automate PR quality checks by reviewing CodeRabbit comments, validating PR descriptions, running pre-commit hooks, and executing test suites.
Self-maintaining skill for OpenCode agents to update documentation, capture learnings, and extend tool/agent capabilities dynamically.
Handles large-scale tasks by automatically breaking them down into manageable, recursive sub-tasks to overcome context window limits and improve reasoning accuracy on large codebases and document sets.