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Found 437 Skills
Systematic LLM prompt engineering: analyzes existing prompts for failure modes, generates structured variants (direct, few-shot, chain-of-thought), designs evaluation rubrics with weighted criteria, and produces test case suites for comparing prompt performance. Triggers on: "prompt engineering", "prompt lab", "generate prompt variants", "A/B test prompts", "evaluate prompt", "optimize prompt", "write a better prompt", "prompt design", "prompt iteration", "few-shot examples", "chain-of-thought prompt", "prompt failure modes", "improve this prompt". Use this skill when designing, improving, or evaluating LLM prompts specifically. NOT for evaluating Claude Code skills or SKILL.md files — use skill-evaluator instead.
Generate AI images using Gemini or GPT APIs directly. Covers model selection (Gemini for scenes, GPT for transparent icons), the 5-part prompting framework, API calling patterns, multi-turn editing, and quality assurance. Produces photorealistic scenes, icons, illustrations, OG images, and product shots. Use when building websites that need images, creating marketing assets, or generating visual content. Triggers: 'generate image', 'ai image', 'create hero image', 'make an icon', 'generate illustration', 'create og image', 'ai art', 'image generation'.
Generate infographic images from user descriptions using Gemini API (Nano Banana Pro). Converts natural language descriptions into structured infographic prompts, then calls Gemini image generation to produce PNG images. Supports 11 visual styles (sketchnote, kawaii, professional, scientific, anime, claymation, editorial, storyboard, bento grid, bricks), 3 orientations (landscape/portrait/square), 3 detail levels (brief/standard/detailed), and multiple languages. Use when user asks to create infographics, generate visual summaries, make data visualizations, or produce illustrated explanations. Trigger words include 信息图, infographic, 生成图, 可视化, visual summary, data visualization.
Generate professional flyers and leaflets using each::sense AI. Create event flyers, promotional materials, real estate listings, restaurant menus, and more with eye-catching designs optimized for print and digital distribution.
Generate and edit high-quality images with AI. Emphasize strong prompt design, structured JSON prompting, reference-image workflows, text rendering, and iterative refinement. Use any time the user needs an image generated.
Use when the user wants to tailor a workflow for a specific industry, domain, or vertical with specialized expertise, terminology, and guardrails.
Use when any Maestro command is invoked — provides foundational workflow design principles across prompt engineering, context management, tool orchestration, agent architecture, feedback loops, knowledge systems, and guardrails.
Use when creating specialized subagents for Claude Code plugins or the Task tool - covers description writing for auto-delegation, tool selection, prompt structure, and testing agents
Compress LLM responses to pure signal — Rocky's early notation style. Drop articles, filler, hedging. Best for pipelines and coding.
Converting markdown plans into beads (tasks with dependencies) and polishing them until they're implementation-ready. The bridge between planning and agent swarm execution. Includes exact prompts used.
Vision and multimodal capabilities for Claude including image analysis, PDF processing, and document understanding. Activate for image input, base64 encoding, multiple images, and visual analysis.
Builds AI-native products using Dan Shipper's 5-product playbook and Brandon Chu's AI product frameworks. Use when implementing prompt engineering, creating AI-native UX, scaling AI products, or optimizing costs. Focuses on 2025+ best practices.