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SKILL verified MIT Self-run

Teach Impeccable

skill-subhansh-dev-agent-maxxing-24-teach-impeccable · by subhansh-dev

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.

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Install

$ agentstack add skill-subhansh-dev-agent-maxxing-24-teach-impeccable

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
25d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

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 the user directly to clarify what you cannot infer. 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 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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.