Communitygithub.com

ios-icon-gen

Generate iOS app icons as PNG imagesets for Xcode asset catalogs from SF Symbols (5000+ Apple-native) or Iconify API (275k+ open source icons from 200+ collections). Use when generating icons, creating icon assets, adding icons to asset catalog, or searching for icons for iOS projects.

Qu'est-ce que ios-icon-gen ?

ios-icon-gen is a Claude Code agent skill that generate iOS app icons as PNG imagesets for Xcode asset catalogs from SF Symbols (5000+ Apple-native) or Iconify API (275k+ open source icons from 200+ collections). Use when generating icons, creating icon assets, adding icons to asset catalog, or searching for icons for iOS projects.

Compatible avec~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/ios-icon-gen

Demander à votre IA préférée

Ouvre une nouvelle conversation avec cette compétence d'agent déjà préchargée.

Documentation

iOS Icon Generator

Generate PNG icon imagesets for Xcode asset catalogs from two sources.

When to Activate

  • Generating icon assets for an iOS/macOS Xcode project
  • Searching for icons across open source collections
  • Creating PNG imagesets (1x, 2x, 3x) for asset catalogs
  • Replacing placeholder icons with production-quality assets
  • Matching existing icon styles in an Xcode project

Core Principles

1. Two Sources, One Output Format

Both sources produce identical Xcode-compatible imagesets. Choose based on need:

SourceIconsRequiresBest for
Iconify API275,000+ from 200+ collectionsInternetWide selection, specific styles, open source icons
SF Symbols5,000+ Apple symbolsmacOS onlyApple-native style, offline use

2. Always Match Existing Style

Before generating, check the project's existing icons for size, color, and weight consistency.

3. Output Structure

Both methods produce a complete Xcode imageset:

<output-dir>/<asset-name>.imageset/
  Contents.json
  <asset-name>.png        # 1x (68px default)
  <asset-name>@2x.png     # 2x (136px default)
  <asset-name>@3x.png     # 3x (204px default)

Examples

Step 1: Assess Requirements

Determine icon needs: what the icon represents, preferred style, target color, and size.

If the project already has icons, check existing style:

# Check dimensions of existing icon
sips -g pixelWidth -g pixelHeight path/to/[email protected]

Step 2: Search for Icons

Iconify API (recommended for wide selection):

# Search all collections
$SKILL_DIR/scripts/iconify_gen.sh search "receipt"

# Search within a specific collection
$SKILL_DIR/scripts/iconify_gen.sh search "business card" --prefix mdi

# List available collections
$SKILL_DIR/scripts/iconify_gen.sh collections

SF Symbols (for Apple-native style): Browse the SF Symbols app or reference common names:

Use CaseSymbol Name
Documentdoc.text, doc.fill
Receiptdoc.text.below.ecg, receipt
Personperson.crop.rectangle, person.text.rectangle
Cameracamera, camera.fill
Scandoc.viewfinder, qrcode.viewfinder
Settingsgearshape, slider.horizontal.3

Step 3: Preview (Optional)

# Iconify preview
$SKILL_DIR/scripts/iconify_gen.sh preview mdi:receipt-text-outline

Step 4: Generate

Iconify API:

# Basic generation
$SKILL_DIR/scripts/iconify_gen.sh mdi:receipt-text-outline editTool_expenseReport

# Custom color and output location
$SKILL_DIR/scripts/iconify_gen.sh mdi:receipt-text-outline myIcon --color 007AFF --output ./Assets.xcassets/icons

Options: --size <pt> (default: 68), --color <hex> (default: 8E8E93), --output <dir> (default: /tmp/icons)

SF Symbols:

# Basic generation
swift $SKILL_DIR/scripts/generate_icons.swift doc.text.below.ecg editTool_expenseReport

# Custom color, weight, and output
swift $SKILL_DIR/scripts/generate_icons.swift person.crop.rectangle myIcon --color 007AFF --weight regular --output ./Assets.xcassets/icons

Options: --size <pt> (default: 68), --color <hex> (default: 8E8E93), --weight <name> (default: thin), --output <dir> (default: /tmp/icons)

Step 5: Verify and Integrate

  1. Read the generated @2x PNG to verify visually
  2. Copy to asset catalog if not output there directly:
    cp -r /tmp/icons/<name>.imageset path/to/Assets.xcassets/<group>/
    
  3. Build the project to verify Xcode picks up the new assets

Popular Iconify Collections

PrefixNameCountStyle
mdiMaterial Design Icons7400+Filled + outline variants
phPhosphor9000+6 weights per icon
solarSolar7400+Bold, linear, outline
tablerTabler Icons6000+Consistent stroke width
lucideLucide1700+Clean, minimal
riRemix Icon3100+Filled + line variants
carbonCarbon2400+IBM design language
heroiconsHeroIcons1200+Tailwind CSS companion

Browse all: https://icon-sets.iconify.design/

Scripts Reference

ScriptSourcePath
iconify_gen.shIconify API (275k+ icons)$SKILL_DIR/scripts/iconify_gen.sh
generate_icons.swiftSF Symbols (5k+ icons)$SKILL_DIR/scripts/generate_icons.swift

Best Practices

  • Search before generating -- browse available icons to find the best match
  • Match existing project style -- check dimensions, color, and weight of existing icons before generating new ones
  • Use Iconify for variety -- 200+ collections means you can find the exact style you need
  • Use SF Symbols for Apple consistency -- they match system UI perfectly
  • Generate directly to asset catalog -- use --output ./Assets.xcassets/icons to skip manual copying
  • Verify visually -- always preview the @2x PNG before committing

Anti-Patterns

  • Generating icons without checking existing project icon style
  • Using default colors when the project has a defined color palette
  • Generating at wrong sizes (check existing icons first)
  • Committing generated icons without visual verification

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

Skills associés