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Max prompt

Skill kennykankush/skillpack/plugins/workbench/skills/max-prompt

My daily-driver Claude Code and Codex loadout

Install
npx -y skills add kennykankush/skillpack --skill max-prompt

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  • 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.
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What its author says it does

Copied from the file, not written here

Turn vague feedback, screenshots, taste, frustration, or half-formed product intuition into an implementation-ready prompt for a coding agent. Use for UI/UX bugs, frontend polish, animation behavior, component architecture, and "it feels wrong but I don't know how to say it" moments.

SKILL.md

1.5 KB, 252 tokens by cl100k_base, as published. Nobody here has run it

Max Prompt

Purpose

Use this skill when the user wants help turning vague feedback, screenshots, taste, frustration, or half-formed product intuition into a strong prompt for a coding agent.

This skill is especially useful for:

  • UI/UX bugs
  • frontend implementation
  • React/TypeScript components
  • CSS layout and visual polish
  • animation behavior
  • GSAP / Framer Motion issues
  • interaction design
  • gesture/snap behavior
  • component architecture
  • state/lifecycle bugs
  • “it feels wrong but I don’t know how to say it” moments

The goal is to translate the user’s instinct into an implementation-ready prompt.

Do not simply restate the user’s words.

Convert their feeling into:

  • the underlying mechanism
  • the likely root cause
  • the correct architecture or ownership
  • the intended visual/interaction model
  • explicit constraints
  • state priority rules
  • lifecycle rules
  • animation cleanup rules
  • concrete implementation direction
  • expected verification behavior

Core Philosophy

The job is not to “write a better prompt.”

The job is to convert taste into engineering language.

The formula:

Feeling → Mechanism → Ownership → Constraints → Implementation → Expected Result

Gives 0 of the 12 instructions most design frontend skills give in 252 tokens

Counted across 1,170 of the 1,878 authors here whose files we hold, read 2026-08-06

  • use css variables for color consistencyin 73 of 1170, across 24 files
  • match implementation complexity to the aesthetic visionin 70 of 1170, across 20 files
  • commit to one bold aesthetic direction before codingin 70 of 1170, across 25 files
  • add atmospheric background effects and texturesin 58 of 1170, across 10 files
  • use unexpected spatial compositions and layoutsin 55 of 1170, across 7 files
  • implement real working codein 55 of 1170, across 7 files
  • vary themes and aesthetics across different designsin 48 of 1170, across 7 files
  • launch chromium in headless modein 47 of 1170, across 4 files
  • close the browser when donein 47 of 1170, across 4 files
  • run provided scripts with help flag firstin 47 of 1170, across 4 files
  • use descriptive selectors for elementsin 47 of 1170, across 4 files
  • wait for network idle statein 46 of 1170, across 3 files

Said here and by no other author read

  • Convert user taste into engineering language
  • Translate feeling into underlying mechanism
  • Identify the likely root cause
  • Define correct architecture or ownership
  • Specify explicit constraints
  • Provide concrete implementation direction

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.

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