pandacss-styling

pandacss-styling is a skill for Claude Code from oyi77/1ai-skills. It costs 36 tokens per session (1,474 once invoked), scanned A, original, MIT.

A styling framework that generates static CSS at build time using design tokens, reusable layout patterns, component recipes, conditions, and JSX style properties.

In plain words
What is it for?
It helps build React, Vue, Solid, and Qwik interfaces, design systems, responsive styles, reusable component variants, and token-based themes.
Why use it?
It helps teams keep styles consistent and type-safe while avoiding the runtime cost of generating CSS in the browser.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the 1ai-skills plugin — 209 skills, 4 commands shipped together

Good fit It helps build React, Vue, Solid, and Qwik interfaces, design systems, responsive styles, reusable component variants, and token-based themes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/oyi77/1ai-skills/pandacss-styling
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add oyi77/1ai-skills --skill pandacss-styling
Clone the repo
git clone --depth 1 https://github.com/oyi77/1ai-skills

Made for: Claude Code.

Or install 1ai-skills, the plugin that ships this one along with the rest of its 209 skills, 4 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for pandacss-styling

README.md
[![agentmods](https://agentmods.dev/badge/skills/oyi77/1ai-skills/pandacss-styling/github.svg)](https://agentmods.dev/skills/oyi77/1ai-skills/pandacss-styling)
Your own site
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/pandacss-styling"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/pandacss-styling/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for pandacss-styling

Your own site · 80×15
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/pandacss-styling"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/pandacss-styling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,474 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.01474
Opus 5 $0.00018 $0.00737
Sonnet 5 $0.00007 $0.00295
Haiku 4.5 $0.00004 $0.00147

Measured 8d ago against content hash 3b9d89095bdb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

pandacss-styling scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

content/pandacss-styling/SKILL.md · 234 lines

How it starts

The opening of the file, as written. The whole thing — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

Panda CSS is a zero-runtime CSS-in-JS framework with a token system, patterns, recipes, and JSX style props. Generates static CSS at build time with full TypeScript support.

Capabilities

  • Zero-runtime CSS generation
  • Design token system with semantic tokens
  • Patterns for common layout primitives
  • Recipes for component variants
  • Conditions for responsive and state styles
  • JSX style props for inline styling
  • Works with React, Vue, Solid, Qwik

When to Use

Trigger phrases:

  • "pandacss styling"

  • "Panda CSS zero-runtime styling — token system, patterns, recipes, conditions, JS"

  • Want type-safe styling with design tokens

  • Need component variants without runtime cost

  • Building design systems with consistent tokens

  • Using JSX style props for rapid development

When NOT to Use

  • Task is about content strategy, not creation (use strategy skills)
  • Task is about content distribution (use distribution skills)
  • You need to analyze content performance (use analytics skills)
  • Task is about content moderation (use moderation tools)
  • You don't have content guidelines
  • Task requires domain expertise (consult experts)

Pseudo Code

The pandacss-styling workflow follows a standard pipeline pattern.

Core flow:

# pandacss-styling primary flow
input = prepare(raw_data)
result = process(input, config={conditions, panda, pandacss, patterns, recipes})
validate(result)
deliver(result)

Error handling:

on error:
  log(error_details)
  retry_with_backoff(max=3)
  if still_failing: alert_and_escalate()

Core Workflow

# pandacss-styling primary flow
input = prepare(raw_data)
result = process(input, config={conditions, panda, pandacss, patterns, recipes})
validate(result)
deliver(result)

Error Handling

on error:
  log(error_details)
  retry_with_backoff(max=3)
  if still_failing: alert_and_escalate()

Configuration

// panda.config.ts
import { defineConfig } from "@pandacss/dev"

export default defineConfig({
  preflight: true,
  include: ["./src/**/*.{ts,tsx}"],
  exclude: [],
  theme: {
    extend: {
      tokens: {
        colors: {
          primary: { value: "#3b82f6" },
          secondary: { value: "#8b5cf6" },
        },
      },
    },
  },
  outdir: "styled-system",
})

Read the full file on GitHub · 234 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 234 lines · 36 tokens per session scan A 3b9d89095bdb

Subscribe to this mod's changes

pandacss-styling is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 1,474 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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