icon-retrieval

antvis/chart-visualization-skills · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/antvis/chart-visualization-skills --skill icon-retrieval
0 commentsdiscussion
summary

This skill provides icon search and SVG string retrieval capabilities. It helps users find appropriate icons for various use cases including infographics, web development, design, and more.

skill.md

Icon Search

This skill provides icon search and SVG string retrieval capabilities. It helps users find appropriate icons for various use cases including infographics, web development, design, and more.

Purpose

This skill helps discover available icons by:

  • Searching the icon library by keywords
  • Retrieving SVG strings directly for use in your projects
  • Providing icon metadata including names and URLs

How to Use

Search for Icons

To search for icons, use the search script with a keyword or phrase:

node ./scripts/search.js '<search_query>' [topK]

Parameters:

  • search_query (required): The keyword or phrase to search for
  • topK (optional): Maximum number of results to return (default: 5)

Examples:

# Search for document icons (default 5 results)
node ./scripts/search.js 'document'

# Search for security icons with top 10 results
node ./scripts/search.js 'security' 10

# Search for technology icons with top 20 results
node ./scripts/search.js 'tech' 20

Understanding Results

The script returns a JSON object containing:

  • query: The search query used
  • topK: Maximum number of results requested
  • count: Actual number of results returned (may be less than topK)
  • results: Array of icon objects, each containing:
    • url: The source URL of the icon
    • svg: The complete SVG string content

Workflow

  1. Identify the Icon Need: Determine what concept you want to represent with an icon (e.g., "security", "speed", "data")

  2. Search for Icons: Run the search script with relevant keywords

    # Default search (returns up to 5 results)
    node ./scripts/search.js 'security'
    
    # Or specify a custom topK value
    node ./scripts/search.js 'security' 10
    
  3. Review Results: The script returns the requested number of matching icons with:

    • Icon source URLs
    • SVG content for preview or direct use
  4. Use the Icon: Use the SVG content directly in your project (web pages, designs, infographics, etc.)

Important Notes

  • Default Result Count: By default, the search returns up to 5 icons. You can customize this by providing the topK parameter
  • Customizable Results: Use the optional topK parameter to get more or fewer results (e.g., node ./scripts/search.js 'icon' 20)
  • SVG Strings: The script returns complete SVG strings fetched from the icon service
  • Multiple Use Cases: Icons can be used in infographics, web development, design projects, and more

Output Format

{
  "query": "document",
  "topK": 5,
  "count": 2,
  "results": [
    {
      "url": "https://example.com/icon1.svg",
      "svg": "<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\">...</svg>"
    },
    {
      "url": "https://example.com/icon2.svg",
      "svg": "<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\">...</svg>"
    }
  ]
}

Error Handling

The script handles various error scenarios:

  • Missing Query: If no search query is provided, returns usage instructions
  • Network Errors: If the icon service is unavailable, returns an error message
  • Empty Results: If no icons match the query, returns an empty results array with a warning
  • Invalid Response: If the API returns invalid data, returns an error message

Tips

  • Use descriptive, single-word queries for best results
  • Try variations of keywords (e.g., "security", "secure", "shield")
  • Review the results to find the most appropriate icon for your needs
  • Icons can be used across various scenarios: infographics, web development, design, and more
how to use icon-retrieval

How to use icon-retrieval on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add icon-retrieval
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/antvis/chart-visualization-skills --skill icon-retrieval

The skills CLI fetches icon-retrieval from GitHub repository antvis/chart-visualization-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/icon-retrieval

Reload or restart Cursor to activate icon-retrieval. Access the skill through slash commands (e.g., /icon-retrieval) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.550 reviews
  • Soo Johnson· Dec 24, 2024

    We added icon-retrieval from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Dhruvi Jain· Dec 16, 2024

    Useful defaults in icon-retrieval — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Hana Verma· Dec 16, 2024

    I recommend icon-retrieval for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Benjamin Ramirez· Dec 4, 2024

    Keeps context tight: icon-retrieval is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Soo Farah· Nov 23, 2024

    Registry listing for icon-retrieval matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Oshnikdeep· Nov 7, 2024

    icon-retrieval has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Hana Thomas· Nov 7, 2024

    Solid pick for teams standardizing on skills: icon-retrieval is focused, and the summary matches what you get after install.

  • Ganesh Mohane· Oct 26, 2024

    Solid pick for teams standardizing on skills: icon-retrieval is focused, and the summary matches what you get after install.

  • Soo Malhotra· Oct 26, 2024

    icon-retrieval has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Mia Srinivasan· Oct 14, 2024

    icon-retrieval reduced setup friction for our internal harness; good balance of opinion and flexibility.

showing 1-10 of 50

1 / 5