Teach impeccable
全球最大的 Claude Code 技能聚合库 · 收录 3900+ 来自 12+ 来源的技能,提供在线搜索与趋势分析看板 / The world's largest Claude Code skill aggregation hub — 3900+ skills from 12+ sources with online search and trend dashboard
npx -y skills add bg-szy/TOP-SKILLS --skill teach-impeccableAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
One-time setup that gathers design context for your project and saves it to your AI config file. Run once to establish persistent design guidelines.
SKILL.md
2.7 KB, 548 tokens by cl100k_base, as published. Nobody here has run it
Gather design context for this project, then persist it for all future sessions.
Step 1: Explore the Codebase
Before asking questions, thoroughly scan the project to discover what you can:
- README and docs: Project purpose, target audience, any stated goals
- Package.json / config files: Tech stack, dependencies, existing design libraries
- Existing components: Current design patterns, spacing, typography in use
- Brand assets: Logos, favicons, color values already defined
- Design tokens / CSS variables: Existing color palettes, font stacks, spacing scales
- Any style guides or brand documentation
Note what you've learned and what remains unclear.
Step 2: Ask UX-Focused Questions
{{ask_instruction}} Focus only on what you couldn't infer from the codebase:
Users & Purpose
- Who uses this? What's their context when using it?
- What job are they trying to get done?
- What emotions should the interface evoke? (confidence, delight, calm, urgency, etc.)
Brand & Personality
- How would you describe the brand personality in 3 words?
- Any reference sites or apps that capture the right feel? What specifically about them?
- What should this explicitly NOT look like? Any anti-references?
Aesthetic Preferences
- Any strong preferences for visual direction? (minimal, bold, elegant, playful, technical, organic, etc.)
- Light mode, dark mode, or both?
- Any colors that must be used or avoided?
Accessibility & Inclusion
- Specific accessibility requirements? (WCAG level, known user needs)
- Considerations for reduced motion, color blindness, or other accommodations?
Skip questions where the answer is already clear from the codebase exploration.
Step 3: Write Design Context
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_instruction}} whether they'd also like the Design Context appended to {{config_file}}. 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.
Gives 0 of the 12 instructions most project setup skills give in 548 tokens
Counted across 999 of the 1,637 authors here whose files we hold, read 2026-08-06
- ask one question at a timein 29 of 999, across 28 files
- detect the package manager from lockfilesin 28 of 999, across 9 files
- present findings to the userin 25 of 999, across 4 files
- explore current repo statein 24 of 999, across 3 files
- update the agent skills block in place if it existsin 24 of 999, across 3 files
- install husky lint-staged and prettierin 23 of 999, across 4 files
- create the lintstagedrc filein 22 of 999, across 3 files
- commit all changed filesin 22 of 999, across 3 files
- run lint-staged to verify it worksin 22 of 999, across 3 files
- initialize huskyin 21 of 999, across 2 files
- create the husky pre-commit filein 21 of 999, across 2 files
- create a prettierrc file if missingin 21 of 999, across 2 files
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.