Free, no-signup AI image generation via simple URL parameters with customizable models and dimensions.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add supercent-io/skills-template --skill pollinations-aiCompatible with
Supported agents
Supports three AI models (flux, turbo, stable-diffusion) with adjustable width, height, seed, and enhancement parameters
URL-based API requires no authentication; works with browser, curl, or Python requests for instant generation and file saving
Includes batch generation, seed-based reproducibility, and metadata tracking for consistent creative workflows
Best suited for rapid pr
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionpollinations-aiExecute the skills CLI command in your project's root directory to begin installation:
epx add supercent-io/skills-template --skill pollinations-aiFetches pollinations-ai from supercent-io/skills-template and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/pollinations-ai
Restart Cursor to activate pollinations-ai. Access via /pollinations-aiin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
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We added pollinations-ai from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend pollinations-ai for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: pollinations-ai is focused, and the summary matches what you get after install.
pollinations-ai reduced setup friction for our internal harness; good balance of opinion and flexibility.
pollinations-ai has been reliable in day-to-day use. Documentation quality is above average for community skills.
pollinations-ai is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: pollinations-ai is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in pollinations-ai — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for pollinations-ai matched our evaluation — installs cleanly and behaves as described in the markdown.
pollinations-ai fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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