xiaohongshu-cover-generator

freestylefly/xiaohongshu-skills · updated Apr 8, 2026

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$npx skills add https://github.com/freestylefly/xiaohongshu-skills --skill xiaohongshu-cover-generator
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summary

Generate Xiaohongshu-style cover images from user topics with automatic formatting.

  • 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
skill.md

Xiaohongshu Cover Generator

This skill generates Xiaohongshu-style cover images based on user-provided topics.

Usage

When a user requests a Xiaohongshu cover image:

  1. Confirm the topic with the user if not clear
  2. Check for API key (CANGHE_API_KEY environment variable or ask user to provide it)
  3. Run the generation script with the topic
  4. The image will be saved to the current working directory with filename format: xiaohongshu-cover-{timestamp}.png

Running the Script

The script is located at scripts/handler.ts and requires:

  • Topic (required): The subject for the cover image
  • API Key (required): Either via environment variable CANGHE_API_KEY or passed as argument

Execute 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>"

API Key

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.

Output

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.

Style Specifications

The generated images follow these specifications:

  • Aspect ratio: 3:4 (vertical, mobile-friendly)
  • Style: Clean, refined, youthful aesthetic
  • Automatic removal of watermarks and logos
  • High-quality output suitable for mobile viewing
  • Text should be clear and readable with appropriate sizing
how to use xiaohongshu-cover-generator

How to use xiaohongshu-cover-generator 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 xiaohongshu-cover-generator
2

Execute installation command

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

$npx skills add https://github.com/freestylefly/xiaohongshu-skills --skill xiaohongshu-cover-generator

The skills CLI fetches xiaohongshu-cover-generator from GitHub repository freestylefly/xiaohongshu-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/xiaohongshu-cover-generator

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

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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)
  • No comments yet — start the thread.
general reviews

Ratings

4.460 reviews
  • Isabella Verma· Dec 20, 2024

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

  • Shikha Mishra· Dec 12, 2024

    xiaohongshu-cover-generator has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Isabella Khanna· Dec 12, 2024

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

  • Yusuf Abebe· Dec 8, 2024

    We added xiaohongshu-cover-generator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Sofia Brown· Dec 8, 2024

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

  • Ishan Ramirez· Dec 8, 2024

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

  • Fatima Menon· Nov 27, 2024

    xiaohongshu-cover-generator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Kwame Dixit· Nov 27, 2024

    Registry listing for xiaohongshu-cover-generator matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Yusuf Diallo· Nov 27, 2024

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

  • Noor Wang· Nov 11, 2024

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

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