Total 55,943 skills, AI & Machine Learning has 9312 skills
Showing 12 of 9312 skills
Guide for writing skills that wrap CLI tools. Use when creating a new CLI skill. For review, run through the Checklist section.
Open Source Computer Vision Library (OpenCV) for real-time image processing, video analysis, object detection, face recognition, and camera calibration. Use when working with images, videos, cameras, edge detection, contours, feature detection, image transformations, object tracking, optical flow, or any computer vision task.
Generate images and videos using x402-protected AI models at StableStudio. USE FOR: - Generating images from text prompts - Generating videos from text or images - Editing images with AI - Creating visual content TRIGGERS: - "generate image", "create image", "make a picture" - "generate video", "create video", "make a video" - "edit image", "modify image" - "stablestudio", "nano-banana", "sora", "veo" ALWAYS use `npx agentcash fetch` or `npx agentcash fetch-auth` for stablestudio.dev endpoints.
Use when defending constitutional order and peaceful institutions against deliberate destabilization or revolutionary disruption tactics. Applies when identifying, analyzing, or responding to chaos exploitation strategies documented in the chaos-seize skill.
Analyze images using AI with the understand_image tool
AI agent development standards using golanggraph for graph-based workflows, langchaingo for LLM calls, tool integration, MCP, and LLM best practices (context compression, prompt caching, attention raising, tool response trimming).
Generate images in Ellen von Unwerth's playful vintage style. Use when users ask for von Unwerth style, playful sensuality, vintage film noir, whimsical feminine photography, retro glamour, narrative storytelling.
Multi-perspective code analysis using three AI personas (RYAN, FLASH, SOCRATES) for comprehensive decision-making. Use when complex code decisions need analysis from multiple viewpoints, or when avoiding single-perspective blind spots is critical.
After an agentic task completes, perform a retrospective analysis across 6 dimensions (goal alignment, efficiency, decision quality, error handling, communication, reusability). Score performance, identify inefficiency patterns, evaluate skill usage, and produce actionable improvement recommendations. Triggers on "how did it go", "retrospective", "review performance", "what could be better", or after any long agentic task completes.
Master skill for parallel subagent-driven execution with automatic fallback to single-agent sequential mode. Use when implementing plans with multiple independent sub-phases (SP1, SP2...) to dispatch parallel subagents, or when requiring code review between implementation and testing.
Local vision-language model for image analysis using SmolVLM-2B
Guide for creating and validating Claude Code plugin.json files. Use when creating plugins, validating plugin schemas, or troubleshooting plugin configuration.