content-generation▌
casper-studios/casper-marketplace · updated Apr 8, 2026
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Generate professional content including images, diagrams, documents, and summaries using AI-powered tools.
Content Generation
Overview
Generate professional content including images, diagrams, documents, and summaries using AI-powered tools.
Quick Decision Tree
What do you need?
│
├── Generate images
│ └── references/images.md
│ └── Script: scripts/generate_images.py
│
├── Create flowchart/diagram
│ └── references/flowchart.md
│ └── Script: scripts/generate_flowchart.py
│
├── Create Google Doc
│ └── references/document.md
│ └── Script: scripts/generate_document.py
│
├── Generate client proposal
│ └── references/proposal.md
│ └── Script: scripts/generate_proposal.py
│
├── Convert Markdown to PDF
│ └── references/pdf.md
│ └── Script: scripts/md_to_pdf.py
│
└── Summarize content
└── references/summarize.md
└── Script: scripts/summarize_content.py
Environment Setup
# Required in .env
FAL_API_KEY=fal_xxxx # For image generation
OPENROUTER_API_KEY=sk-or-v1-xxx # For AI text generation
Get API keys:
- fal.ai: https://fal.ai/dashboard/keys
- OpenRouter: https://openrouter.ai/keys
Common Usage
Generate Images
# Nano Banana Pro (best quality)
python scripts/generate_images.py "Professional product photo of smartwatch" --model nano-banana-pro
# FLUX-2 (fast, cheap)
python scripts/generate_images.py "Vibrant lifestyle photo" --model flux-2 --size landscape_4_3
Create Flowchart
python scripts/generate_flowchart.py "User login: enter email, validate, check password, if correct go to dashboard"
Generate Document
python scripts/generate_document.py --input content.json --title "Q4 Report"
Generate Proposal
python scripts/generate_proposal.py --transcript-file meeting.txt --client "Acme Corp"
Cost Estimates
| Tool | Cost |
|---|---|
| Nano Banana Pro 1K | $0.15/image |
| Nano Banana Pro 4K | $0.30/image |
| FLUX-2 | $0.012/megapixel |
| Flowchart | ~$0.005/diagram |
| Proposal | ~$0.10/doc |
Security Notes
Credential Handling
- Store
FAL_API_KEYin.envfile (never commit to git) - Store
OPENROUTER_API_KEYin.envfile (never commit to git) - Regenerate keys from respective dashboards if compromised
- Never log or print API keys in script output
Data Privacy
- Text prompts sent to fal.ai and OpenRouter servers
- Generated images stored locally in
.tmp/directory - AI services may log prompts for service improvement
- Avoid including sensitive/confidential data in prompts
- Generated documents may be uploaded to Google Drive
Access Scopes
FAL_API_KEY- Full access to image generation modelsOPENROUTER_API_KEY- Access to configured AI models- Google OAuth - Required for Google Docs creation (see google-workspace skill)
Compliance Considerations
- AI Disclosure: Consider disclosing AI-generated content where required
- Image Rights: Generated images subject to fal.ai terms of use
- Copyright: AI-generated content copyright varies by jurisdiction
- Brand Consistency: Review AI outputs against brand guidelines
- Sensitive Content: AI image generators have content policies
- Client Proposals: Verify accuracy before sending to clients
- Attribution: Some contexts require AI generation disclosure
Troubleshooting
Common Issues
Issue: Image generation failed
Symptoms: fal.ai returns error or no image generated Cause: Invalid prompt, model unavailable, or API issue Solution:
- Check prompt for policy violations (explicit content, etc.)
- Verify model ID is correct and available
- Try a simpler prompt to test API connectivity
- Check fal.ai status page for outages
Issue: Content policy violation
Symptoms: "Content policy violation" or similar safety error Cause: Prompt contains flagged terms or concepts Solution:
- Remove explicit, violent, or harmful content from prompt
- Rephrase ambiguous terms that might trigger filters
- Review fal.ai content policy guidelines
- Use more general/professional language
Issue: Google Doc not created
Symptoms: Script completes but no document appears in Drive Cause: OAuth issue, folder permissions, or API error Solution:
- Verify Google OAuth is working (see google-workspace skill)
- Check target folder exists and is accessible
- Delete
mycreds.txtand re-authenticate - Look for error messages in script output
Issue: Flowchart syntax error
Symptoms: Mermaid diagram fails to render Cause: Invalid Mermaid syntax in generated diagram Solution:
- Review generated Mermaid code for syntax errors
- Simplify complex flows into smaller diagrams
- Test diagram at https://mermaid.live/
- Ensure special characters are properly escaped
Issue: PDF conversion fails
Symptoms: Error during markdown to PDF conversion Cause: Missing dependencies or invalid markdown Solution:
- Ensure required PDF tools are installed (weasyprint, etc.)
- Check markdown syntax is valid
- Verify font files exist if custom fonts specified
- Try with simpler markdown to isolate issue
Issue: OpenRouter API error
Symptoms: Text generation fails with API error Cause: Invalid API key, model unavailable, or rate limit Solution:
- Verify
OPENROUTER_API_KEYis set correctly - Check model availability at OpenRouter dashboard
- Try a different model if current one is unavailable
- Review rate limit status and add delays if needed
Resources
- references/images.md - fal.ai image generation
- references/flowchart.md - Mermaid diagram generation
- references/document.md - Google Docs creation
- references/proposal.md - Client proposal generation
- references/pdf.md - Markdown to PDF conversion
- references/summarize.md - Content summarization
Integration Patterns
Generate and Save
Skills: content-generation → google-workspace Use case: Create documents and store in Drive Flow:
- Generate content (proposal, report, summary)
- Format as Google Doc or PDF
- Upload to appropriate Drive folder via google-workspace
Proposal to CRM
Skills: content-generation → attio-crm Use case: Link generated proposals to deal records Flow:
- Generate client proposal from meeting transcript
- Upload proposal to Google Drive
- Add note to Attio CRM company record with proposal link
Images to Video
Skills: content-generation → video-production Use case: Create title slides for video courses Flow:
- Generate branded title slide images for each lesson
- Export images to video-compatible format
- Use video-production to stitch with lesson videos
How to use content-generation on Cursor
AI-first code editor with Composer
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 content-generation
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches content-generation from GitHub repository casper-studios/casper-marketplace and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate content-generation. Access the skill through slash commands (e.g., /content-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.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★53 reviews- ★★★★★Hassan Thomas· Dec 16, 2024
We added content-generation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Lucas Nasser· Dec 8, 2024
content-generation reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Tariq Haddad· Nov 27, 2024
I recommend content-generation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Mei Brown· Nov 23, 2024
content-generation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Hassan Verma· Nov 7, 2024
Solid pick for teams standardizing on skills: content-generation is focused, and the summary matches what you get after install.
- ★★★★★Emma Li· Nov 3, 2024
Keeps context tight: content-generation is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Aisha Yang· Oct 26, 2024
content-generation has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Emma Kim· Oct 22, 2024
content-generation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Tariq Lopez· Oct 18, 2024
Useful defaults in content-generation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Isabella Khanna· Oct 14, 2024
We added content-generation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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