image-enhancer
Enhance image quality, resolution, and sharpness for screenshots and digital media. Perfect for professional documentation, blogs, and presentations.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
149 skills found
Enhance image quality, resolution, and sharpness for screenshots and digital media. Perfect for professional documentation, blogs, and presentations.
Generate high-quality visual content, characters, and scenes using structured JSON prompts and automated Python execution for guided image synthesis.
A standardized template for creating and documenting modular Agent Skills to ensure consistent, efficient context engineering across AI agent systems.
Style template specification for AI-driven visual generation, defining artistic direction through standardized markdown templates.
Expert guidance for building production-ready applications with Anthropic's Claude API. Covers SDKs, prompt caching, batch processing, streaming, tool use, and cost optimization strategies.
Unified local ML inference server for ASR, TTS, Translation, Image Generation, and Vision on Apple Silicon, powered by MLX.
Token-efficient virtual task management for AI-assisted development. Manage task lifecycles, dependencies, and TDD workflows with surgical context injection.
Advanced workflow orchestration for AI agents, featuring multi-model routing, Codex sandbox iteration, parallel swarm execution, and persistent memory across complex pipelines.
Analyze UI/UX quality against 4 authoritative standards (NNg, Laws of UX, Apple HIG, WCAG) to receive actionable design and accessibility improvements for mobile and web components.
Clean up your current Claude Code session and automatically resume in a fresh, optimized terminal window.
Draft and optimize LinkedIn posts for 0 Finance using performance-backed hooks, professional storytelling, and strict regulatory compliance guidelines.
Analyzes markdown files to identify token-wasting patterns, providing actionable suggestions to optimize documentation for LLM consumption and token efficiency.