eng0ai/eng0-template-skills
3 skills1.8k installs15 starsGitHub
Install
npx skills add https://github.com/eng0ai/eng0-template-skillsSkills in this repo
1Awwwards Landing Pageawwwards-landing-page is an agent skill that walks a solo builder through cloning Eng0AI’s designer portfolio template and getting it running locally and in production. It targets indie makers who need a credible validate-phase landing—showreel, agency-style portfolio, or product teaser—with smooth scroll and timeline animation rather than a generic SaaS shell. The workflow covers shallow git clone into an empty or non-empty directory, npm install, npm run build, and deployment to Vercel (prebuilt production flow with token flags) or Netlify. Because the README flags VM constraints, it also notes not to run the dev server in certain hosted VM environments. Use it when motion and editorial layout matter more than dashboard UI, and you already accept a Next.js + animation-library stack. It is a procedural template, not a design critique or copywriting skill.782installs2Gsap Awwwards WebsiteGSAP Awwwards Website is an agent skill that walks solo builders through cloning the Eng0AI gsap-awwwards-website template, installing dependencies, and running a React 19 + Vite + Tailwind CSS 4 landing focused on GSAP scroll choreography. It targets indie founders who want a polished marketing page without designing motion from scratch, and it encodes opinionated deploy paths for Vercel and Netlify so the agent does not guess CI/CD flags. Use it when you are in the Build phase and need a credible hero, product story, and scroll-driven sections before you wire backend logic or growth experiments. The readme emphasizes npm workflows, optional git re-init after clone, and the prebuilt Vercel production sequence—details that matter for one-person teams shipping fast.534installs3Financial Deep Researchfinancial-deep-research is a Claude Code skill that extends deep-research patterns for financial services work. It walks an agent through scoping a question, planning retrieval, parallel fetching, triangulation across sources, outline refinement, synthesis, critique, refinement, and final packaging. Source policy elevates regulatory and market data tiers—SEC filings, Fed data, and issuer materials—before lower-credibility pages, with awareness of SEC, FINRA, and banking regulators called out in the overview. Builders validating a fintech idea, drafting investor memos, or preparing launch content can invoke it when terminal-side research must look diligence-ready rather than anecdotal. Modes from quick scans to ultra-deep runs let one person trade time for depth without leaving the agent workflow.528installs