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Port the two genuinely-novel ideas from Command Code's /design skill into our existing claude-design skill (skill-only, zero model-tool footprint): - Surface-First: commit to one of 7 surface archetypes (Monitor/Operate/ Compare/Configure/Decide/Explore/Command) before any visual tokens. Most AI design slop is compositional, not cosmetic — conditioning generation on a surface choice collapses entropy the way a CoT step does. Workflow step 3. - Slop Diagnostic: the ~10 tells that account for ~90% of the 'this is AI' signal, as a score-out-of-10 self-audit. Diagnose-then-treat: the report is context not a to-do list; repair only what fired, matched to the tell (re-layout vs recolor vs de-decorate). Workflow step 7 (Verify). Did NOT clone /design's 16-mode CLI, proprietary reference corpus, or make it a core tool. Docs page regenerated via generate-skill-docs.py. |
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| i18n/zh-Hans/docusaurus-plugin-content-docs/current | ||
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| docusaurus.config.ts | ||
| package-lock.json | ||
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| README.md | ||
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Website
This website is built using Docusaurus, a modern static website generator.
Installation
yarn
Local Development
yarn start
This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.
Build
yarn build
This command generates static content into the build directory and can be served using any static contents hosting service.
Deployment
Using SSH:
USE_SSH=true yarn deploy
Not using SSH:
GIT_USER=<Your GitHub username> yarn deploy
If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the gh-pages branch.
Diagram Linting
CI runs ascii-guard to lint docs for ASCII box diagrams. Use Mermaid (````mermaid`) or plain lists/tables instead of ASCII boxes to avoid CI failures.