I've spent months building my AI agent infrastructure with cost-efficient models (DeepSeek + Qwen), using them daily for content creation, strategy, and automation. I built SplitBrain after hitting the same wall every solo brainstorm: by round 3, a single AI just parrots you. Two complementary models, 10 minutes max, signal over noise. No corporate team. No committee. Just a self-taught creator who optimized the brainstorming loop and wants you to stop burning tokens on diminishing returns.
Turn a rough skill idea into a structured blueprint: named, prompted, differentiated, and listing-ready.
Stop copy-pasting prompts from a doc. Research Writing Assistant routes your academic writing task to the right expert prompt automatically — translation (ZH↔EN, LaTeX & Word), polishing, compression, expansion, de-AI, figure generation, caption writing, experiment analysis, mock review, and chart recommendation. Built from workflows used at MSRA, ByteDance Seed, and top CS PhD programs.
Catch AI hallucinations before you hit publish. This skill scans articles, blog posts, marketing copy, and AI-drafted text for unsourced stats, vague "studies show" claims, fabricated quotes, and inflated social proof numbers. It flags each claim by risk level and offers three modes: a fast pre-publish scan, a detailed claim-by-claim report, or honest rewrites. Built-in safeguard: it never invents a source or "verified" status to fill a gap — unverifiable stays labeled unverifiable.
Meta-Skill Architect is a systems-engineering framework that transforms ideas into production-ready AI skills. It combines prompt engineering, software architecture, quality assurance, knowledge management, and validation workflows to create scalable, reusable, marketplace-ready skill packages with high reliability, traceability, and triggering accuracy.
Building practical AI agents that help people work smarter, create faster, and automate everyday tasks. We focus on reliable, easy-to-use AI solutions for productivity, content creation, coding, business, and more.
My 82M+ view YouTube video did not work because every frame was beautiful; it worked because people kept watching. After growing to nearly 800K YouTube subscribers and over 1.19M followers across platforms, with dozens of 10M+ and 1M+ videos, I learned to judge clips by retention, not just style. This AI Skill applies that judgment to short AI videos, shaping the first frame, pacing, motion, visual rhythm, and ending so viewers have a reason to stay to the last frame.
AI Integration — Plans and builds LLM API connections (OpenAI, Anthropic, and more) into real apps. Covers model selection, cost estimation, key safety, error handling, and working code. Adapts to non-engineers and developers alike. Stops the #1 mistake: shipping your API key to the browser.
I’ve spent 4 years focused on social media content creation, growing to nearly 800K YouTube subscribers, 281K TikTok followers, and 112K Instagram followers. That work made me sensitive to what feels human, copied, over-polished, or templated. I built this AI Skill to apply that editorial judgment to AI-drafted text: it identifies patterns that trigger AI-style risk, then rewrites by genre, voice, rhythm, and structure while preserving citations, names, numbers, technical terms, and links.