impeccable

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Every LLM was trained on the same pile of generic tutorials. Out of the box, that gets you:

• <div> soup with emoji headings
• cyan-on-dark "cyber" dashboards nobody asked for
• controllers that own validation, business logic, and persistence
• N+1 queries nobody notices until prod
• tests that pass by not asserting anything

Techneuma injects expert-level context — opinionated, specific, version-pinned — directly into your AI's config so your next /frontend-design or /audit produces something a senior would ship.

Quickstart

# Interactive — pick one or more providers
npx techneuma init

# Direct
npx techneuma init cursor
npx techneuma init claude
npx techneuma init opencode --prefix     # installs i-prefixed variants

# Check what's installed
npx techneuma doctor

# Remove
npx techneuma uninstall cursor
npx techneuma uninstall all

The CLI drops a dotfolder (e.g. .cursor/, .claude/) into your repo with all 59 skills ready to use. Commit it, share it, done.

What you get

20 steering commands

Invoke them from your AI chat to get targeted, expert workflows:

/audit scope=a11y        — accessibility-only deep scan
/critique scope=frontend — UX + visual critique with scoring
/optimize scope=bundle   — bundle size diet
/polish                  — final quality pass, alignment + spacing
/harden                  — error states, i18n, overflow, edge cases
/extract                 — pull repeated UI into design system tokens
/distill                 — strip noise, progressive disclosure
/bolder   /quieter       — amplify or tone down visual intensity
/colorize /typeset       — targeted color or typography pass
/arrange  /normalize     — layout rhythm, design-system alignment
/animate  /adapt         — motion and responsive passes
/delight  /overdrive     — personality; ambitious motion work
/clarify  /onboard       — UX writing; first-run flows
/frontend-design         — new interfaces with anti-AI-slop defenses
/teach-impeccable        — one-time project design context setup

All 20 commands are invokable with narrow scope, so /audit frontend stays on the frontend and doesn't dump a report about your database schema.

39 expertise skills

Auto-activate when the AI detects relevant context (imports, config files, language):

Frontend frameworks — react, vue, svelte, angular, solidjs, nextjs, nuxt, remix, astro, flutter, react-native, threejs, web-components Backend — fastapi, go-web, nestjs, laravel, graphql, database, api-design, state-management Quality & ops — testing, accessibility, performance, security-review, backend-design, devops-delivery Platform — typescript, tailwind, css-architecture, vite, storybook, monorepo, docker, websockets, llm-integration, internationalization, cli Meta — audit, critique, frontend-design, teach-impeccable (the 20 commands are also expertise-aware)

Why it doesn't make everything look the same

The #1 AI failure mode is convergence: every landing page ends up a cyan-on-dark gradient hero with three feature cards. Techneuma ships explicit defenses: