Generate Xiaohongshu-style cover images from user topics with automatic formatting.
Works with
Accepts a topic as input and produces vertically-oriented 3:4 cover images optimized for mobile viewing
Requires API key from https://api.canghe.ai/ (via CANGHE_API_KEY environment variable or direct argument)
Saves generated images to the current working directory with timestamped filenames ( xiaohongshu-cover-{timestamp}.png )
Applies clean, youthful aesthetic with automatic watermark removal and
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionxiaohongshu-cover-generatorExecute the skills CLI command in your project's root directory to begin installation:
Fetches xiaohongshu-cover-generator from freestylefly/xiaohongshu-skills 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:
Restart Cursor to activate xiaohongshu-cover-generator. Access via /xiaohongshu-cover-generator in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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This skill generates Xiaohongshu-style cover images based on user-provided topics.
When a user requests a Xiaohongshu cover image:
xiaohongshu-cover-{timestamp}.pngThe script is located at scripts/handler.ts and requires:
CANGHE_API_KEY or passed as argumentExecute with:
cd ~/.codebuddy/skills/xiaohongshu-cover-generator
npx tsx scripts/handler.ts "<topic>" "<api-key-optional>"
Or with environment variable:
cd ~/.codebuddy/skills/xiaohongshu-cover-generator
CANGHE_API_KEY="your-api-key" npx tsx scripts/handler.ts "<topic>"
Users need a valid API key from https://api.canghe.ai/
If the API key is missing or invalid, provide the user with clear instructions to obtain one.
The generated image will be saved to the directory where the skill was invoked (current working directory), not the skill's directory. The filename format is xiaohongshu-cover-{timestamp}.png where timestamp is in milliseconds.
The generated images follow these specifications:
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Solid pick for teams standardizing on skills: xiaohongshu-cover-generator is focused, and the summary matches what you get after install.
xiaohongshu-cover-generator has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: xiaohongshu-cover-generator is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added xiaohongshu-cover-generator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend xiaohongshu-cover-generator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in xiaohongshu-cover-generator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
xiaohongshu-cover-generator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for xiaohongshu-cover-generator matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: xiaohongshu-cover-generator is focused, and the summary matches what you get after install.
I recommend xiaohongshu-cover-generator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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