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zimage-generation▌

toolsai/free-zimage-skills · updated Apr 8, 2026

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$npx skills add https://github.com/toolsai/free-zimage-skills --skill zimage-generation
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summary

Generate images using ModelScope's Z-Image API with simple command-line prompts.

  • ›Supports three API key configuration methods: hardcoded in script, command-line argument, or .env file in the scripts folder
  • ›Accepts optional parameters for custom output filename and alternative model IDs
  • ›Requires Python 3 with requests library and a ModelScope account with Alibaba Cloud binding for API access
  • ›Returns 401 errors if the account lacks proper Alibaba Cloud setup; users must bind their a
skill.md

Z-Image Generation Skill

This skill allows you to generate images using the Z-Image model via the ModelScope Inference API.

When to Use

Use this skill when:

  • The user requests to generate an image using "Zimage", "zimage:", or "ModelScope".
  • The user inputs a command like zimage: <prompt> or zimage <prompt>.
  • The user wants to use their configured ModelScope API key for image generation.

Usage

The skill provides a Python script scripts/generate_zimage.py to handle the API interaction.

Prerequisites

  • Python 3 with requests installed.
  • API Key Setup (Choose one):
    • Method A (Easiest for beginners): Open scripts/generate_zimage.py and paste your key into the DEFAULT_API_KEY variable at the top.
    • Method B (Temporary): Pass via command line: --api-key your_token
    • Method C (Recommended Project Setup): Create a new text file named .env in the same folder as the script (scripts/).
      • Content of the file should be: MODELSCOPE_API_TOKEN="your_key_here"

Commands

To generate an image:

# If you used Method A (pasted key in file):
python3 /Users/promptcase/.gemini/antigravity/skills/zimage-generation/scripts/generate_zimage.py "Your descriptive prompt here"

# If you prefer command line (Method B):
python3 /Users/promptcase/.gemini/antigravity/skills/zimage-generation/scripts/generate_zimage.py "Your prompt" --api-key "your_key"

Arguments:

  • prompt: The text description of the image (required).
  • --output, -o: Specify output filename (optional).
  • --model: Specify a different model ID (optional).
  • --api-key: API key (if not set in file or environment).

API Verification Note

If the script returns a 401 error mentioning "bind your Alibaba Cloud account", notify the user that they must log in to ModelScope (https://modelscope.cn/my/account) and bind their Alibaba Cloud account to enable API access. This is a one-time setup required by the platform.

Example

# To generate a cyberpunk city
python3 /Users/mattchan/.gemini/antigravity/skills/zimage-generation/scripts/generate_zimage.py "cyberpunk city, neon lights, rainy street, high detail"
how to use zimage-generation

How to use zimage-generation 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 zimage-generation
2

Execute installation command

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

$npx skills add https://github.com/toolsai/free-zimage-skills --skill zimage-generation

The skills CLI fetches zimage-generation from GitHub repository toolsai/free-zimage-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/zimage-generation

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

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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

4.5★★★★★27 reviews
  • ★★★★★Carlos Choi· Dec 24, 2024

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

  • ★★★★★Kiara Rao· Nov 27, 2024

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

  • ★★★★★Min Kapoor· Nov 15, 2024

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

  • ★★★★★Amelia Mensah· Oct 18, 2024

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

  • ★★★★★Yuki Perez· Oct 6, 2024

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

  • ★★★★★Kwame Bansal· Sep 25, 2024

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

  • ★★★★★Piyush G· Sep 1, 2024

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

  • ★★★★★Mateo Rao· Sep 1, 2024

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

  • ★★★★★Shikha Mishra· Aug 20, 2024

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

  • ★★★★★Arjun Farah· Aug 20, 2024

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

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