external/antfu-skills/antfu-design/SKILL.md
antfu-style design conventions, broadened. UnoCSS-first, class-based semantic tokens with dual light/dark for tooling and devtools UIs, plus design-read, anti-slop, and micro-interaction polish for landing pages and product surfaces. Use when building or refactoring any interface with UnoCSS.
npx skillsauth add seikaikyo/dash-skills antfu-designInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use this when building interfaces with UnoCSS in any framework (React, Vue, Svelte, Solid, or plain HTML), from dense devtools panels to landing pages. Read core-design-read first to set the direction, then apply the token system plus the polish and anti-slop rules.
bg-base, border-base, color-active, btn-action) instead of raw utility chains in markup.z-top-nav, z-panel-content, z-drawer-content). Do not use raw z values in templates.class="..."). Avoid Attributify syntax in generated code.// @unocss-include when needed).font-mono + tabular-nums for technical values (paths, SHAs, counters, timestamps, percentages).title.A minimal semantic core. See core-starter-kit for the full uno.config.ts and base styles.
shortcuts: [
{
'color-base': 'color-neutral-800 dark:color-neutral-200',
'bg-base': 'bg-white dark:bg-#111',
'bg-secondary': 'bg-#eee dark:bg-#222',
'border-base': 'border-#8882',
'bg-active': 'bg-#8881',
'color-active': 'color-primary-600 dark:color-primary-300',
'border-active': 'border-primary-600/25 dark:border-primary-400/25',
'btn-action': 'inline-flex items-center gap-2 rounded border border-base px2 py1 op75 hover:op100 hover:bg-active disabled:pointer-events-none disabled:op30!',
'op-fade': 'op65 dark:op55',
'op-mute': 'op30 dark:op25',
'z-top-nav': 'z-60',
'z-panel-content': 'z-70',
'z-drawer-content': 'z-100',
},
]
| Topic | Description | Reference | |-------|-------------|-----------| | Core Principles | Semantic tokens, dark mode parity, z-index naming, class-first output | core-principles | | Starter Kit | Copy-paste UnoCSS starter config and base light/dark styles | core-starter-kit | | Tokens and Combos | Token families, reusable class combinations, mobile-safe shell tokens | core-tokens-and-combinations | | Design Read and Dials | Read the brief, declare a design read, set variance/motion/density dials | core-design-read |
| Topic | Description | Reference | |-------|-------------|-----------| | Strict Rules and Pre-Flight | Do/don't checklist and the consolidated pre-flight | best-practices-strict-rules | | Class over Attributify | Why generated code uses class utilities, with conversions | best-practices-class-utilities-over-attributify | | Anti-Slop Hygiene | The dash ban and the AI-tell forbidden patterns | best-practices-anti-slop | | Bias Correction | Typography, color, layout, and materiality defaults to override | best-practices-bias-correction |
| Topic | Description | Reference | |-------|-------------|-----------| | Data Presentation | Paths, icons, time, date, numbers, badges, buttons | features-data-presentation | | Micro-Interactions | Radius, alignment, shadows, animation, numbers, outlines, hit areas | features-micro-interactions | | Floating Vue Overrides | Shared Floating Vue setup and popper styling | features-floating-vue-overrides |
| Topic | Description | Reference | |-------|-------------|-----------| | Pattern Vocabulary | Named UI patterns to recognize and reach for | advanced-pattern-vocabulary | | Redesign Protocol | Detect mode, audit first, preserve IA and SEO | advanced-redesign-protocol |
<!-- Source references: - https://github.com/antfu/node-modules-inspector - https://github.com/vitejs/devtools/tree/main/packages/rolldown - https://github.com/eslint/config-inspector - https://github.com/antfu/vite-plugin-inspect - https://github.com/antfu/agent-container - https://github.com/Leonxlnx/taste-skill - https://github.com/jakubkrehel/make-interfaces-feel-better -->tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.