Frontend Design
udecode/plate
Build web interfaces with genuine design quality, not AI slop.
Create distinctive, production-grade frontend interfaces with high design quality.
$ npx skills add mims-harvard/OptimusKG --skill impeccable -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mims-harvard/OptimusKG impeccable --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mims-harvard/OptimusKG.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/impeccable .claude/skills/impeccable && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "impeccable" agent skill from https://github.com/mims-harvard/OptimusKG/tree/main/.agents/skills/impeccable into .claude/skills/impeccable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "impeccable", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mims-harvard/OptimusKG/tree/main/.agents/skills/impeccableType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mims-harvard/OptimusKG --skill impeccable -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mims-harvard/OptimusKG impeccable --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mims-harvard/OptimusKG.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/impeccable .agents/skills/impeccable && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "impeccable" agent skill from https://github.com/mims-harvard/OptimusKG/tree/main/.agents/skills/impeccable into .agents/skills/impeccable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "impeccable", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mims-harvard/OptimusKG --skill impeccable -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mims-harvard/OptimusKG impeccable --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mims-harvard/OptimusKG.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/impeccable .cursor/skills/impeccable && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "impeccable" agent skill from https://github.com/mims-harvard/OptimusKG/tree/main/.agents/skills/impeccable into .cursor/skills/impeccable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "impeccable", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mims-harvard/OptimusKG.git --path .agents/skills/impeccable--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mims-harvard/OptimusKG --skill impeccable -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mims-harvard/OptimusKG impeccable --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mims-harvard/OptimusKG.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/impeccable .gemini/skills/impeccable && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "impeccable" agent skill from https://github.com/mims-harvard/OptimusKG/tree/main/.agents/skills/impeccable into .gemini/skills/impeccable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "impeccable", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mims-harvard/OptimusKG impeccableInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mims-harvard/OptimusKG --skill impeccable -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mims-harvard/OptimusKG.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/impeccable .github/skills/impeccable && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "impeccable" agent skill from https://github.com/mims-harvard/OptimusKG/tree/main/.agents/skills/impeccable into .github/skills/impeccable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "impeccable", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mims-harvard/OptimusKG --skill impeccable -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mims-harvard/OptimusKG impeccable --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mims-harvard/OptimusKG.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/impeccable .opencode/skills/impeccable && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "impeccable" agent skill from https://github.com/mims-harvard/OptimusKG/tree/main/.agents/skills/impeccable into .opencode/skills/impeccable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "impeccable", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
impeccableCreate distinctive, production-grade frontend interfaces with high design quality.
Impeccable is an agent skill from mims-harvard/OptimusKG. Create distinctive, production-grade frontend interfaces with high design quality. Generates creative, polished code that avoids generic AI aesthetics. Use when the user asks to build web components, pages, artifacts, posters, or applications, or when any design skill requires project context. Call with 'craft' for shape-then-build, 'teach' for design context setup, or 'extract' to pull reusable components and tokens into the design system.
Its SKILL.md is about 5.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including scripts (for example `reference/color-and-contrast.md`, `reference/craft.md` and `reference/extract.md`).
It sits in Frontend & Design, covering Design review and critique and Design systems. The repository describes itself as: A modern multimodal knowledge graph with type-specific metadata across biomedical domains. The licence is Apache-2.0.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 4fb3529. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (JavaScript), which the agent can run.
Shell commands in SKILL.md call:
nodeFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Impeccable loads about 5.5k tokens when it runs. Until then it costs about 114 tokens; SKILL.md has 2,990 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from mims-harvard/OptimusKG at commit 4fb3529, republished under its Apache-2.0 licence (© mims-harvard). 2,990 words, ~5,480 tokens.
.claude/skills/impeccable/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.<post-update-cleanup>
BEFORE doing any design work, run this one-time maintenance step. Tell the user:
Impeccable was updated. A few skills were renamed or merged in this version (e.g.
/arrangeis now/layout,/normalizewas folded into/polish). I'll clean up the old skill files so they don't clutter your project. This only runs once after an update.
Then run:
node .agents/skills/impeccable/scripts/cleanup-deprecated.mjsIf the script removed files, briefly confirm what was cleaned up. If it found nothing, skip any output and move on.
After running the script, delete this entire section (from <post-update-cleanup> through </post-update-cleanup> inclusive) from THIS file so it does not run again until the next update. Save the file.
</post-update-cleanup>
This skill guides creation of distinctive, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. Implement real working code with exceptional attention to aesthetic details and creative choices.
Design skills produce generic output without project context. You MUST have confirmed design context before doing any design work.
Required context (every design skill needs at minimum):
Individual skills may require additional context. Check the skill's preparation section for specifics.
CRITICAL: You cannot infer this context by reading the codebase. Code tells you what was built, not who it's for or what it should feel like. Only the creator can provide this context.
Gathering order:
.impeccable.md from the project root. If it exists and contains the required context, proceed.Commit to a BOLD aesthetic direction:
CRITICAL: Choose a clear conceptual direction and execute it with precision. Bold maximalism and refined minimalism both work. The key is intentionality, not intensity.
Then implement working code that is:
→ Consult typography reference for OpenType features, web font loading, and the deeper material on scales.
Choose fonts that are beautiful, unique, and interesting. Pair a distinctive display font with a refined body font.
<typography_principles> Always apply these — do not consult a reference, just do them:
rem scales for app UIs and dashboards (no major design system uses fluid type in product UI).<font_selection_procedure> DO THIS BEFORE TYPING ANY FONT NAME.
The model's natural failure mode is "I was told not to use Inter, so I will pick my next favorite font, which becomes the new monoculture." Avoid this by performing the following procedure on every project, in order:
Step 1. Read the brief once. Write down 3 concrete words for the brand voice (e.g., "warm and mechanical and opinionated", "calm and clinical and careful", "fast and dense and unimpressed", "handmade and a little weird"). NOT "modern" or "elegant" — those are dead categories.
Step 2. List the 3 fonts you would normally reach for given those words. Write them down. They are most likely from this list:
<reflex_fonts_to_reject> Fraunces Newsreader Lora Crimson Crimson Pro Crimson Text Playfair Display Cormorant Cormorant Garamond Syne IBM Plex Mono IBM Plex Sans IBM Plex Serif Space Mono Space Grotesk Inter DM Sans DM Serif Display DM Serif Text Outfit Plus Jakarta Sans Instrument Sans Instrument Serif </reflex_fonts_to_reject>
Reject every font that appears in the reflex_fonts_to_reject list. They are your training-data defaults and they create monoculture across projects.
Step 3. Browse a font catalog with the 3 brand words in mind. Sources: Google Fonts, Pangram Pangram, Future Fonts, Adobe Fonts, ABC Dinamo, Klim Type Foundry, Velvetyne. Look for something that fits the brand as a physical object — a museum exhibit caption, a hand-painted shop sign, a 1970s mainframe terminal manual, a fabric label on the inside of a coat, a children's book printed on cheap newsprint. Reject the first thing that "looks designy" — that's the trained reflex too. Keep looking.
Step 4. Cross-check the result. The right font for an "elegant" brief is NOT necessarily a serif. The right font for a "technical" brief is NOT necessarily a sans-serif. The right font for a "warm" brief is NOT Fraunces. If your final pick lines up with your reflex pattern, go back to Step 3. </font_selection_procedure>
<typography_rules> DO use a modular type scale with fluid sizing (clamp) on headings. DO vary font weights and sizes to create clear visual hierarchy. DO vary your font choices across projects. If you used a serif display font on the last project, look for a sans, monospace, or display face on this one.
DO NOT use overused fonts like Inter, Roboto, Arial, Open Sans, or system defaults — but also do not simply switch to your second-favorite. Every font in the reflex_fonts_to_reject list above is banned. Look further. DO NOT use monospace typography as lazy shorthand for "technical/developer" vibes. DO NOT put large icons with rounded corners above every heading. They rarely add value and make sites look templated. DO NOT use only one font family for the entire page. Pair a distinctive display font with a refined body font. DO NOT use a flat type hierarchy where sizes are too close together. Aim for at least a 1.25 ratio between steps. DO NOT set long body passages in uppercase. Reserve all-caps for short labels and headings. </typography_rules>
→ Consult color reference for the deeper material on contrast, accessibility, and palette construction.
Commit to a cohesive palette. Dominant colors with sharp accents outperform timid, evenly-distributed palettes.
<color_principles> Always apply these — do not consult a reference, just do them:
<theme_selection> Theme (light vs dark) should be DERIVED from audience and viewing context, not picked from a default. Read the brief and ask: when is this product used, by whom, in what physical setting?
Do not default everything to light "to play it safe." Do not default everything to dark "to look cool." Both defaults are the lazy reflex. The correct theme is the one the actual user wants in their actual context. </theme_selection>
<color_rules> DO use modern CSS color functions (oklch, color-mix, light-dark) for perceptually uniform, maintainable palettes. DO tint your neutrals toward your brand hue. Even a subtle hint creates subconscious cohesion.
DO NOT use gray text on colored backgrounds; it looks washed out. Use a shade of the background color instead. DO NOT use pure black (#000) or pure white (#fff). Always tint; pure black/white never appears in nature. DO NOT use the AI color palette: cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds. DO NOT use gradient text for impact — see <absolute_bans> below for the strict definition. Solid colors only for text. DO NOT default to dark mode with glowing accents. It looks "cool" without requiring actual design decisions. DO NOT default to light mode "to be safe" either. The point is to choose, not to retreat to a safe option. </color_rules>
→ Consult spatial reference for the deeper material on grids, container queries, and optical adjustments.
Create visual rhythm through varied spacing, not the same padding everywhere. Embrace asymmetry and unexpected compositions. Break the grid intentionally for emphasis.
<spatial_principles> Always apply these — do not consult a reference, just do them:
--space-sm, --space-md), not pixel-named (--spacing-8). Scale: 4, 8, 12, 16, 24, 32, 48, 64, 96. 8pt is too coarse — you'll often want 12px between two values.gap instead of margins for sibling spacing. It eliminates margin collapse and the cleanup hacks that come with it.grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)) is the breakpoint-free responsive grid for card-style content.<spatial_rules> DO create visual rhythm through varied spacing: tight groupings, generous separations. DO use fluid spacing with clamp() that breathes on larger screens. DO use asymmetry and unexpected compositions; break the grid intentionally for emphasis.
DO NOT wrap everything in cards. Not everything needs a container. DO NOT nest cards inside cards. Visual noise; flatten the hierarchy. DO NOT use identical card grids (same-sized cards with icon + heading + text, repeated endlessly). DO NOT use the hero metric layout template (big number, small label, supporting stats, gradient accent). DO NOT center everything. Left-aligned text with asymmetric layouts feels more designed. DO NOT use the same spacing everywhere. Without rhythm, layouts feel monotonous. DO NOT let body text wrap beyond ~80 characters per line. Add a max-width like 65–75ch so the eye can track easily. </spatial_rules>
<absolute_bans> These CSS patterns are NEVER acceptable. They are the most recognizable AI design tells. Match-and-refuse: if you find yourself about to write any of these, stop and rewrite the element with a different structure entirely.
BAN 1: Side-stripe borders on cards/list items/callouts/alerts
border-left: or border-right: with width greater than 1pxborder-left: 3px solid red, border-left: 4px solid #ff0000, border-left: 4px solid var(--color-warning), border-left: 5px solid oklch(...), etc.BAN 2: Gradient text
background-clip: text (or -webkit-background-clip: text) combined with a gradient backgroundlinear-gradient, radial-gradient, or conic-gradientDO: Use intentional, purposeful decorative elements that reinforce brand. DO NOT: Use border-left or border-right greater than 1px as a colored accent stripe on cards, list items, callouts, or alerts. See <absolute_bans> above for the strict CSS pattern. DO NOT: Use glassmorphism everywhere (blur effects, glass cards, glow borders used decoratively rather than purposefully). DO NOT: Use sparklines as decoration. Tiny charts that look sophisticated but convey nothing meaningful. DO NOT: Use rounded rectangles with generic drop shadows. Safe, forgettable, could be any AI output. DO NOT: Use modals unless there's truly no better alternative. Modals are lazy.
→ Consult motion reference for timing, easing, and reduced motion.
Focus on high-impact moments: one well-orchestrated page load with staggered reveals creates more delight than scattered micro-interactions.
DO: Use motion to convey state changes: entrances, exits, feedback DO: Use exponential easing (ease-out-quart/quint/expo) for natural deceleration DO: For height animations, use grid-template-rows transitions instead of animating height directly DON'T: Animate layout properties (width, height, padding, margin). Use transform and opacity only DON'T: Use bounce or elastic easing. They feel dated and tacky; real objects decelerate smoothly
→ Consult interaction reference for forms, focus, and loading patterns.
Make interactions feel fast. Use optimistic UI: update immediately, sync later.
DO: Use progressive disclosure. Start simple, reveal sophistication through interaction (basic options first, advanced behind expandable sections; hover states that reveal secondary actions) DO: Design empty states that teach the interface, not just say "nothing here" DO: Make every interactive surface feel intentional and responsive DON'T: Repeat the same information (redundant headers, intros that restate the heading) DON'T: Make every button primary. Use ghost buttons, text links, secondary styles; hierarchy matters
→ Consult responsive reference for mobile-first, fluid design, and container queries.
DO: Use container queries (@container) for component-level responsiveness DO: Adapt the interface for different contexts, not just shrink it DON'T: Hide critical functionality on mobile. Adapt the interface, don't amputate it
→ Consult ux-writing reference for labels, errors, and empty states.
DO: Make every word earn its place DON'T: Repeat information users can already see
Critical quality check: If you showed this interface to someone and said "AI made this," would they believe you immediately? If yes, that's the problem.
A distinctive interface should make someone ask "how was this made?" not "which AI made this?"
Review the DON'T guidelines above. They are the fingerprints of AI-generated work from 2024-2025.
Match implementation complexity to the aesthetic vision. Maximalist designs need elaborate code with extensive animations and effects. Minimalist or refined designs need restraint, precision, and careful attention to spacing, typography, and subtle details.
Interpret creatively and make unexpected choices that feel genuinely designed for the context. No design should be the same. Vary between light and dark themes, different fonts, different aesthetics. NEVER converge on common choices across generations.
Remember: the model is capable of extraordinary creative work. Don't hold back. Show what can truly be created when thinking outside the box and committing fully to a distinctive vision.
If this skill is invoked with the argument "craft" (e.g., /impeccable craft [feature description]), follow the craft flow. Pass any additional arguments as the feature description.
If this skill is invoked with the argument "teach" (e.g., /impeccable teach), skip all design work above and instead run the teach flow below. This is a one-time setup that gathers design context for the project.
Before asking questions, thoroughly scan the project to discover what you can:
Note what you've learned and what remains unclear.
ask the user directly to clarify what you cannot infer. Focus only on what you couldn't infer from the codebase:
Skip questions where the answer is already clear from the codebase exploration.
Synthesize your findings and the user's answers into a ## Design Context section:
## Design Context
### Users
[Who they are, their context, the job to be done]
### Brand Personality
[Voice, tone, 3-word personality, emotional goals]
### Aesthetic Direction
[Visual tone, references, anti-references, theme]
### Design Principles
[3-5 principles derived from the conversation that should guide all design decisions]Write this section to .impeccable.md in the project root. If the file already exists, update the Design Context section in place.
Then ask the user directly to clarify what you cannot infer. whether they'd also like the Design Context appended to .github/copilot-instructions.md. If yes, append or update the section there as well.
Confirm completion and summarize the key design principles that will now guide all future work.
If this skill is invoked with the argument "extract" (e.g., /impeccable extract [target]), follow the extract flow. Pass any additional arguments as the extraction target.
© mims-harvard, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 10 other files (scripts) in .agents/skills/impeccable of mims-harvard/OptimusKG.
Open the folder on GitHubat commit 4fb3529
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in mims-harvard/OptimusKG, which our catalogue first saw on October 7, 2026.
Impeccable next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Impeccable this skillmims-harvard/OptimusKG | 146 | 3 repos | ~5.5k | Automated safety check: Pass | Apache-2.0 | |
| Frontend Designudecode/plate | 17k | — | ~3.6k | Automated safety check: Pass | Custom licence | |
| Visualizedisplay-dev/visualize | 132 | — | ~7.4k | Automated safety check: Pass | MIT | |
| Structure Codebasecitypaul/.dotfiles | 739 | — | ~4.4k | Automated safety check: Pass | Custom licence | |
| Web Design EngineerConardLi/garden-skills | 13k | — | ~8.8k | Automated safety check: Pass | MIT | |
| Design Craftkipperacademy/skillpper | 134 | — | ~3.8k | Automated safety check: Pass | None |
udecode/plate
Build web interfaces with genuine design quality, not AI slop.
display-dev/visualize
Generate beautiful, on-brand HTML artifacts — reports, diagrams, diff reviews, slide decks, plans, recaps, dashboards.
citypaul/.dotfiles
Design, audit, and evolve physical source and package structures that expose real architectural boundaries while keeping related behavior together.
ConardLi/garden-skills
Builds polished browser-rendered HTML, CSS, JavaScript and React pages, dashboards, prototypes and slide decks, aiming for a stunning rather than merely functional result.
kipperacademy/skillpper
Opinionated product-design skill for building, reviewing, polishing, and iterating on landing pages, apps, dashboards, AI products, design systems, and brand touchpoints.
coinbase/cds
Turn Figma designs into CDS React (cds-web) or React Native (cds-mobile) code.
mims-harvard/OptimusKG
Create publication figures with matplotlib/seaborn/plotly. An agent skill from mims-harvard/OptimusKG.
mims-harvard/OptimusKG
Enforce synchronization between Kedro node files and catalog YAML files in the OptimusKG project.
mims-harvard/OptimusKG
Guide for using OptimusKG, the biomedical knowledge graph, through the optimuskg Python client.
Categories
Create distinctive, production-grade frontend interfaces with high design quality. Impeccable is an agent skill from mims-harvard/OptimusKG. Create distinctive, production-grade frontend interfaces with high design quality.
Impeccable fits situations like: the user asks to build web components; any design skill requires project context.
Run `npx skills add mims-harvard/OptimusKG --skill impeccable -a claude-code`. Or copy the skill folder (.agents/skills/impeccable in mims-harvard/OptimusKG) into .claude/skills/impeccable in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mims-harvard/OptimusKG --skill impeccable -a codex`. Or copy the skill folder (.agents/skills/impeccable in mims-harvard/OptimusKG) into .agents/skills/impeccable in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mims-harvard/OptimusKG --skill impeccable -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/impeccable, .gemini/skills/impeccable, .github/skills/impeccable and .opencode/skills/impeccable in your project.
Going by SKILL.md and its folder, Impeccable needs JavaScript for the scripts in its folder and the command-line tools its instructions call (node). Our summary lists: Node.js.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Impeccable is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 5.5k tokens (SKILL.md is roughly 22k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Impeccable: Frontend Design (udecode/plate, 17k stars), Visualize (display-dev/visualize, 132 stars), Structure Codebase (citypaul/.dotfiles, 739 stars) and Web Design Engineer (ConardLi/garden-skills, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
mims-harvard (a GitHub organization) maintains it in mims-harvard/OptimusKG, which has 146 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on September 21, 2026.
Source: mims-harvard/OptimusKG on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.