Impeccable
impeccable.style- Category
- Developer Tools
- Rank
- No. 22Tools index
- Pricing
- Free
- Platform
- cli · extension
- Type
- TOOL
- Builder
- @pbakaus
- GitHub
- 66.6k stars
- Latest release
- skill-v4.3.0
- Date
About
A design skills package for AI coding assistants that provides 17 commands and curated anti-patterns to help developers create better frontend designs. Works with popular AI harnesses like Cursor, Claude Code, and Gemini CLI to bring design vocabulary and expertise to AI-generated code.
What it does
The package gives a coding agent persistent product and design context before it edits an interface. From there, users can request focused work such as shaping, auditing, polishing, adapting, or clarifying a frontend. A live mode connects the agent to a local browser, while deterministic checks flag known interface anti-patterns without an API key.
Why it's ranked here
The strongest case is the combination of design direction, automated checks, and browser-based iteration in one local workflow. Setup records audience, voice, colors, typography, and components for later work. The command set covers both visual judgment and technical concerns such as accessibility, responsiveness, performance, error handling, and internationalization.
What's good
The initial setup reduces repeated prompting by preserving project context for later commands. Users can ask for broad work or target a specific page or element. Deterministic checks run without an LLM or API key, and supported editor hooks can surface findings after edits. Live mode lets users select interface elements, compare generated variants, and accept or discard them in the browser.
Tradeoffs
Its scope is frontend interface work, not database tuning or standalone bitmap generation. Hook support varies by coding harness, and Codex requires project trust while its hooks are disabled on Windows. Some installations require preview features, restarts, or provider-specific directories. Live mode adds a local server, browser state, generated working files, and framework-dependent behavior to the workflow.
How to use it well
Use it when an AI coding agent already edits your frontend and needs consistent design context, targeted critique, or visual iteration. Start by recording the product and design constraints, then use focused commands before a final audit and polish pass. Keep normal engineering tests and browser verification in the loop. Choose separate tools for backend optimization, authentication, deployment, or raster asset creation.
Technical notes+
package.json defines an ES module npm package requiring Node 22.18 or newer, with a CLI binary, a detector library export, a browser detector export, six runtime dependencies, and optional Puppeteer support. scripts/build.js transforms the canonical skill into provider-specific distributions, validates counts and prose, stages plugin output, and creates ZIP bundles. docs/DEVELOP.md describes a config-driven provider factory, Bun-based builds, and unit, detector, framework, live, end-to-end, and model-backed test groups. docs/HARNESSES.md records provider-specific frontmatter, directories, hooks, and subagent emission targets. docs/adr-live-variant-mode.md describes localhost communication using server-sent events, fetch requests, and agent long-polling. docs/openai-plugin-submission.md states that the OpenAI package has no MCP server and that its edit hook runs locally.
Observed
- License
- Apache-2.0
- Primary implementation
- JavaScript using ES modules
- Runtime requirement
- Node.js 22.18 or newer
- Install surface
- npm CLI installer, Git submodule linking, provider plugins, downloadable ZIPs, or manual copying
- Interfaces
- Command-line tool, detector library export, browser detector export, coding-agent skill, browser extension, and local hooks
- Supported harnesses
- Documented distributions include Cursor, Claude Code, Gemini CLI, Codex CLI, GitHub Copilot, Grok Build, OpenCode, Pi, Qoder, Trae, Rovo Dev, Mistral Vibe, and Antigravity
- Network architecture
- Live mode uses a localhost HTTP server with server-sent events, fetch requests, and agent long-polling
- MCP surface
- No MCP server
Read from README.md, package.json, docs/STYLE.md, docs/DEVELOP.md, docs/HARNESSES.md, docs/LIVE-REWRITE-PLAN.md, docs/adr-live-variant-mode.md, docs/openai-plugin-submission.md, scripts/build.js, scripts/release.mjs.
What it can do
Provide design commands to AI coding assistants
AI coding assistant integration → 17 specific design commands
Guide AI assistants to avoid design anti-patterns
Code generation request → Curated anti-pattern warnings and alternatives
Enhance AI-generated frontend code with design expertise
AI-generated frontend code → Design-improved frontend code
Integrate design vocabulary into AI coding workflows
AI harness (Cursor, Claude Code, Gemini CLI) → Design-aware coding assistant
Apply design principles to AI code generation
Development request through AI assistant → Design-compliant code implementation
Intel on Impeccable
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