qwen-asr
Transcribe audio files (wav, mp3, ogg) to text using the Qwen ASR model. Fast, local-friendly, and requires no API keys.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
165 skills found
Transcribe audio files (wav, mp3, ogg) to text using the Qwen ASR model. Fast, local-friendly, and requires no API keys.
Guidance for Model Context Protocol (MCP) server development, including tool design, resource handling, and AI/ML integration patterns.
A comprehensive security auditing and hardening assistant that applies best practices for authentication, input validation, secrets management, and SQL injection prevention to your codebase.
Master design system architecture: implement design tokens, multi-brand theming, component libraries, and automated design-to-code pipelines for scalable UI foundations.
A configuration and usage guide for the XRequest tool within the Ant Design X SDK, streamlining network integration for streaming AI interfaces.
Pre-implementation confidence assessment tool for developers. Ensures 90%+ readiness via duplicate checks, architecture compliance, official docs verification, and root cause analysis.
Master cross-language error handling patterns: exceptions, Result types, and graceful degradation for resilient application development.
Architectural guidance and pattern implementation for Java Spring Boot backends, covering REST API design, JPA, caching, async processing, and logging.
Refactor MoonBit code for idiomatic style: minimize public APIs, implement methods, leverage pattern matching with views, and enforce high test coverage for maintainable MoonBit projects.
Framework for building Vertesia plugins with a dual tool-server and UI architecture, featuring Hot Module Replacement, build-tools, and asset management.
Plan mode on steroids. Push engineers to think with a product mindset before building with structured intake and concrete technical options.
Automated toolkit for creating, maintaining, and enhancing CLAUDE.md files to ensure your project's AI-assisted development guidelines are always accurate, modular, and best-practice compliant.