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kv0906/cc-skills · updated Apr 8, 2026

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$npx skills add https://github.com/kv0906/cc-skills --skill svg-art
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summary

Generate high-quality SVG graphics using Python scripts. All scripts output valid SVG to stdout (or file with -o).

skill.md

SVG Art: Programmatic Generation

Generate high-quality SVG graphics using Python scripts. All scripts output valid SVG to stdout (or file with -o).

Available Scripts

Script Purpose Key Options
generate_grid.py Grid patterns --cols, --rows, --shape, --vary-*
generate_radial.py Radial/spiral/sunburst --spiral, --concentric, --sunburst
generate_fractal.py Fractals (tree, koch, sierpinski) --tree, --koch, --sierpinski, --depth
generate_wave.py Waves and audio viz --layers, --noise, --bars
generate_particles.py Scatter/cluster/constellation --cluster, --gradient, --constellation
generate_chart.py Data visualization --bar, --line, --pie, --donut
generate_icon.py Common UI icons --icon NAME, --list, --filled
optimize_svg.py Minify/optimize SVG --aggressive, --stats

Quick Examples

# Grid with size variation
python scripts/generate_grid.py -c 6 -r 6 --vary-size --vary-opacity -o grid.svg

# Spiral pattern
python scripts/generate_radial.py --spiral -n 60 --turns 4 -o spiral.svg

# Fractal tree
python scripts/generate_fractal.py --tree --depth 8 --vary-angle -o tree.svg

# Layered waves with fill
python scripts/generate_wave.py --layers 5 --fill -o waves.svg

# Constellation network
python scripts/generate_particles.py --constellation -n 30 --connect-distance 25 -o network.svg

# Bar chart
python scripts/generate_chart.py --bar --data "30,50,80,45,90" --labels "A,B,C,D,E" -o chart.svg

# Heart icon
python scripts/generate_icon.py --icon heart --filled --stroke "#E11D48" -o heart.svg

# Optimize existing SVG
python scripts/optimize_svg.py input.svg --aggressive -o output.svg

Script Usage Patterns

Grid Patterns

python scripts/generate_grid.py \
  -c 8 -r 8           # columns and rows
  -s 10 -g 2          # size and gap
  --shape circle      # rect, circle, or diamond
  --vary-size         # random size variation
  --vary-opacity      # random opacity
  --vary-hue          # color variation
  --seed 42           # reproducible randomness

Radial Patterns

# Concentric rings
python scripts/generate_radial.py --concentric --rings 5 --vary-hue

# Sunburst rays
python scripts/generate_radial.py --sunburst -n 24 --vary-length

Fractals

# Koch snowflake
python scripts/generate_fractal.py --koch --depth 4 --fill "#3B82F6"

# Sierpinski triangle
python scripts/generate_fractal.py --sierpinski --depth 5

Charts

# Line chart with points
python scripts/generate_chart.py --line --data "10,30,20,50" --show-points --smooth

# Donut chart
python scripts/generate_chart.py --donut --data "40,30,20,10" --labels "A,B,C,D"

Icons

# List all available icons
python scripts/generate_icon.py --list

# Common icons: check, x, plus, menu, search, home, user, settings,
# mail, heart, star, play, file, download, edit, share, sun, moon, etc.

Common Options (All Scripts)

  • --fill COLOR: Fill color (default: #3B82F6)
  • --stroke COLOR: Stroke color
  • --stroke-width N: Stroke width
  • --seed N: Random seed for reproducibility
  • -o FILE: Output to file instead of stdout

Piping and Composition

Scripts can be piped together:

# Generate and optimize
python scripts/generate_grid.py -c 10 -r 10 | python scripts/optimize_svg.py --aggressive

# Check optimization stats
python scripts/generate_fractal.py --tree --depth 10 | python scripts/optimize_svg.py --stats

SVG Fundamentals Reference

See references/svg-fundamentals.md for:

  • Core SVG structure and viewBox
  • Element types (rect, circle, path, etc.)
  • Path command syntax
  • Gradients and patterns
  • Accessibility requirements
how to use svg-art

How to use svg-art 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 svg-art
2

Execute installation command

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

$npx skills add https://github.com/kv0906/cc-skills --skill svg-art

The skills CLI fetches svg-art from GitHub repository kv0906/cc-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/svg-art

Reload or restart Cursor to activate svg-art. Access the skill through slash commands (e.g., /svg-art) 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.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

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)
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general reviews

Ratings

4.8★★★★★53 reviews
  • ★★★★★William Li· Dec 28, 2024

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

  • ★★★★★Anaya Brown· Dec 20, 2024

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

  • ★★★★★Isabella Gonzalez· Dec 12, 2024

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

  • ★★★★★Nikhil Lopez· Dec 8, 2024

    svg-art is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Alexander Bansal· Dec 4, 2024

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

  • ★★★★★Hassan Rahman· Nov 27, 2024

    svg-art fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Isabella Menon· Nov 23, 2024

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

  • ★★★★★Aisha Smith· Nov 11, 2024

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

  • ★★★★★Ava Farah· Oct 18, 2024

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

  • ★★★★★Charlotte Abebe· Oct 14, 2024

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

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