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Found 257 Skills
Uncle Huang's Private Advisory Board — a business decision think tank composed of 12 top thinkers. With a structured private advisory board process, different cognitive frameworks collide to produce optimal decisions. Trigger scenarios: - Users say "start a private advisory board", "invite the think tank", "help me make decisions" - Users say "Private Advisory Board: [topic]", "Let the experts discuss this matter" - Users use the /私董会 or /advisory-board command - Users face major business decisions requiring multi-perspective analysis Non-trigger scenarios: - Simple operational issues (how to publish, how to typeset) - Pure technical issues (code debugging) - Daily content creation (use article-writer / topic-partner) - Personal emotional counseling (use life-coach)
Generate anime-style video prompts for Seedance 2.0 (Higgsfield). Use this when users want anime, Japanese animation style, shonen manga action, seinen manga drama, magical girl, mecha, isekai, slice-of-life anime, or any Japanese animation aesthetics. Trigger conditions: anime, Japanese animation, shonen manga, seinen manga, manga-style video, anime fight, anime opening, anime ending, cherry blossoms, chibi, cute style, mecha, isekai, or any anime-style request. Even phrases like "make it look like anime" or "Japanese cartoon style".
Generate cinematic film-style video prompts for Seedance 2.0 (Higgsfield). Use this skill when users want AI videos with cinematic, film-like, movie-quality, Hollywood-style, dramatic, or professional film-quality. Trigger words: cinematic, film-like, movie scene, dramatic lighting, depth of field, lens flare, anamorphic, letterbox, film noir, epic, stabilized camera, dolly shot, crane shot, or any cinematic video generation request. Use this skill even if users don't explicitly say "cinematic" but describe film aesthetics.
Choose GPT-Image2 / gpt-image-2 visual styles and industrial prompt templates from the awesome-gpt-image-2 style library. Use when an agent needs to create, rewrite, classify, or improve image-generation prompts with repository-backed templates, categories, style tags, scene tags, pitfalls, and example cases.
Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different' - products that solve specific problems with AI. Covers prompt engineering for products, cost management, rate limiting, and building defensible AI businesses. Use when: AI wrapper, GPT product, AI tool, wrap AI, AI SaaS.
Invokes Codex CLI as a second opinion. Use for reviewing plans, code, architectural decisions, or getting an independent perspective from OpenAI's reasoning models.
LLMs, prompt engineering, RAG systems, LangChain, and AI application development
Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.
Provides comprehensive guidance for Midjourney AI image generation including prompt engineering, image generation, parameters, and best practices. Use when the user asks about Midjourney, needs to generate AI images, create prompts, or work with Midjourney features.
Generate and edit high-quality images using Google's Nano Banana Pro (Gemini 3 Pro Image) AI model. Use this skill when working with AI image generation or editing tasks including (1) Creating images from text prompts with professional quality, (2) Editing existing images with natural language instructions, (3) Multi-turn iterative image refinement, (4) Product photography and marketing visuals, (5) Creating infographics and diagrams with text, (6) Photorealistic and artistic image generation, (7) Batch image generation workflows, (8) Testing and troubleshooting Gemini image generation API. Supports up to 4K resolution, multiple aspect ratios, reference images, and advanced prompting techniques for cinema-quality results.
Optimizes text, prompts, and documentation for LLM token efficiency. Applies 41 research-backed rules across 6 categories: Claude behavior, token efficiency, structure, reference integrity, perception, and LLM comprehension. Use when optimizing prompts, reducing tokens, compressing verbose docs, or improving LLM instruction quality.
Clarify ambiguous or conflicting requests by researching first, then asking only judgment calls. Use when prompts say "$grill-me"/"grill me", ask hard questions, request relentless interrogation, pressure-test assumptions, clarify scope/requirements, define success criteria, or request system-design/optimization decisions before implementation; stop before implementation.