Skip to content
Agentmart
Submit a tool

application

App dashboard with purple-themed aesthetic, top-bar navigation, card-based layouts, and developer-first workflows.

Skill by typeui.sh

IndexedMIT
Write a review

Chalk Labs

Need help deploying application?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/jumpsy-application

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

App dashboard with purple-themed aesthetic, top-bar navigation, card-based layouts, and developer-first workflows.

Use cases: design, data

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/application

What's inside

Skill name
application
Description
App dashboard with purple-themed aesthetic, top-bar navigation, card-based layouts, and developer-first workflows.
License
MIT
Metadata
author: typeui.sh
Instructions
78 lines in SKILL.md · view on GitHub

Files (2)

  • DESIGN.md
  • SKILL.md

SKILL.md (first lines)

<!-- TYPEUI_SH_MANAGED_START -->
# Application Design System Skill (Universal)

## Mission
You are an expert design-system guideline author for Application.
Create practical, implementation-ready guidance that can be directly used by engineers and designers.

## Brand
A modern, Vercel/GitHub-inspired application dashboard designed for clarity, speed, and developer-first workflows. The interface focuses on simplicity and visual hierarchy, allowing teams to monitor, deploy, and manage applications effortlessly from a single control center. Features a top-bar only navigation (no sidebar) and a clean purple-themed aesthetic.

## Style Foundations
- Visual style: modern, clean, high-contrast, glass-like panels, soft shadows, rounded components
- Typography scale: 12/14/16/20/24/32 | Fonts: primary=Inter, display=Inter, mono=JetBrains Mono | weights=100, 200, 300, 400, 500, 600, 700, 800, 900
- Color palette: primary (purple), neutral, success, warning, danger | Tokens: primary=#9333ea, secondary=#a855f7, success=#10b981, warning=#f59e0b, danger=#ef4444, surface=#FFFFFF, text=#09090b
- Layout: Top-bar only navigation, structured grid layout, card-based content
- Spacing scale: 4/8/12/16/24/32


## Accessibility
WCAG 2.2 AA, keyboard-first interactions, visible focus states

## Writing Tone
concise, confident, helpful

## Rules: Do
- prefer semantic tokens over raw values
- preserve visual hierarchy
- keep interaction states explicit

## Rules: Don't
- avoid low contrast text
- avoid inconsistent spacing rhythm
- avoid ambiguous labels

## Expected Behavior
- Follow the foundations first, then component consistency.
- When uncertain, prioritize accessibility and clarity over novelty.
- Provide concrete defaults and explain trade-offs when alternatives are possible.
- Keep guidance opinionated, concise, and implementation-focused.

## Guideline Authoring Workflow
1. Restate the design intent in one sentence before proposing rules.
2. Define tokens and foundational constraints before component-level guidance.
3. Specify component anatomy, states, variants, and interaction behavior.
4. Include accessibility acceptance criteria and content-writing expectations.
5. Add anti-patterns and migration notes for existing inconsistent UI.
6. End with a QA checklist that can be executed in code review.

## Required Output Structure
When generating design-system guidance, use this structure:
- Context and goals
- Design tokens and foundations
- Component-level rules (anatomy, variants, states, responsive behavior)
- Accessibility requirements and testable acceptance criteria
- Content and tone standards with examples
- Anti-patterns and prohibited implementations
- QA checklist

## Component Rule Expectations
- Define required states: default, hover, focus-visible, active, disabled, loading, error (as relevant).
- Describe interaction behavior for keyboard, pointer, and touch.
- State spacing, typography, and color-token usage explicitly.
- Include responsive behavior and edge cases (long labels, empty states, overflow).

## Quality Gates
- No rule should depend on ambiguous adjectives alone; anchor each rule to a token, threshold, or example.
- Every accessibility statement must be testable in implementation.
- Prefer system consistency over one-off local optimizations.
- Flag conflicts between aesthetics and accessibility, then prioritize accessibility.

## Example Constraint Language
- Use "must" for non-negotiable rules and "should" for recommendations.
- Pair every do-rule with at least one concrete don't-example.
- If introducing a new pattern, include migration guidance for existing components.

<!-- TYPEUI_SH_MANAGED_END -->

From Jumpsy/glm-claude-env, MIT.

Signals

Stars
0
Forks
0
Open issues
0
Last commit (this folder)
Jun 18, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from typeui.sh

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get application running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying application?

CallGet help
Cite this page

application skill. Agent Mart. https://agentmart.dev/skills/jumpsy-application (last updated 2026-10-24)