xiaohongshu-search-summarizer

piekill/xiaohongshu-summarizer-skill · updated Apr 8, 2026

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$npx skills add https://github.com/piekill/xiaohongshu-summarizer-skill --skill xiaohongshu-search-summarizer
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summary

This skill automates the process of extracting high-quality multi-modal content (text + images) from Xiaohongshu (小红书) and actively assists you in generating a deeply integrated, analytical final report for the user. Due to Xiaohongshu's aggressive anti-scraping mechanisms, direct HTTP requests or naive scraping often result in 404s or blocks. This skill natively bypasses these by simulating a real user through the playwright-cli in a headed browser window.

skill.md

Xiaohongshu Search and Summarize

This skill automates the process of extracting high-quality multi-modal content (text + images) from Xiaohongshu (小红书) and actively assists you in generating a deeply integrated, analytical final report for the user. Due to Xiaohongshu's aggressive anti-scraping mechanisms, direct HTTP requests or naive scraping often result in 404s or blocks. This skill natively bypasses these by simulating a real user through the playwright-cli in a headed browser window.

It operates in two distinct phases:

Phase 1: Subagent Data Collection

  1. Simulate a search for the keyword on Xiaohongshu in a headed browser.
  2. Advance through image sliders to fully load all lazy pictures from the top N posts.
  3. Extract titles, descriptions, top comments, and all high-resolution images.
  4. Download those images to a local directory and generate a raw data document ([keyword]_raw_data.md).

Phase 2: AI Multi-Modal Synthesis (Your Job)

  1. You MUST use your file reading capabilities to read the [keyword]_raw_data.md file.
  2. Inside the raw data markdown, you will find paths to image files. You MUST use your file reading / vision capabilities on these image file paths to actually ingest and "see" their visual content. If you skip this step, you are only reading file names, not the images themselves!
  3. You analyze the texts, summarize the genuinely useful comments (discarding noise like "pm me"), and interpret the semantic content of the images you just viewed (e.g. diagrams, guidelines, step-by-step UI flows).
  4. You compile everything into a beautifully synthesized, single comprehensive report rather than just a linear list of posts.

Dependencies

  • playwright-cli (Must be available on the path)
  • python3 (Required to download images and stitch the raw data markdown)
  • requests Python package (pip install requests) — used by parse.py to download images

Usage Instructions

Step 1: Run the Extraction Script

Execute the wrapper script in scripts/run.sh. It accepts the following arguments:

/bin/bash <skill_dir>/scripts/run.sh "YOUR KEYWORD" <MAX_POSTS> <OUTPUT_DIRECTORY>
  • YOUR KEYWORD: The search term to look up on Xiaohongshu.
  • <MAX_POSTS>: (Optional, default = 10) The number of top posts to scan.
  • <OUTPUT_DIRECTORY>: (Optional, default = ./) Directory where the raw data and images will be saved.

Example execution:

/bin/bash ~/.claude/skills/xiaohongshu-search-summarizer/scripts/run.sh "openclaw使用场景" 10 "./xhs_report_openclaw_scenarios"

Step 2: Read Raw Data & Images

Once the bash script finishes successfully, navigate to the OUTPUT_DIRECTORY and use your file reading capabilities to ingest the generated [keyword]_raw_data.md file.

Inside this file, you will find descriptions, comments, and file paths pointing to post_X_img_Y.webp or post_X_img_Y.jpg.

Step 3: Synthesis & Summarization

This is the most critical step. Do not just return the raw markdown file to the user. Instead, write a polished comprehensive markdown report that reorganizes the information logically, while retaining a high level of detail.

Follow these strict compilation rules:

  • Do not list posts individually (e.g. avoid "Post 1: ... Post 2: ...").
  • Read the Images: You MUST use your file reading and vision capabilities on the .webp or .jpg image files found in the raw data directory to interpret their contents.
  • Detailed & Comprehensive Synthesis: Provide a highly detailed summary that includes diverse viewpoints, nuances, and specific examples found across different posts. Avoid over-summarizing or losing important context; preserve the richness and diversity of the information.
  • Extract and merge themes: Group ideas by concepts, steps, recurring themes, or pros/cons.
  • Evaluate comments: Merge insights from valuable comments directly into the core narrative. Skip useless or repetitive comments, but preserve diverse opinions or helpful counter-arguments from the comments section.
  • Integrate images contextually: Embed the most relevant and high-quality images directly into the flow of your final report to support the analytical points being made. Describe their visual meaning based on what you saw with your vision capabilities.
  • Save to OUTPUT_DIRECTORY: Save your beautifully compiled final Markdown report using your file writing capabilities directly into the same <OUTPUT_DIRECTORY> as the raw data (e.g., <OUTPUT_DIRECTORY>/[keyword]_synthesis.md), and give the user the path to it.

Error Handling

If you encounter 404 Not Found or "element not visible" errors during the browser invocation:

  • Keep in mind that Xiaohongshu may demand a login challenge. If the site pauses waiting for a login, instruct the user to verify the playwright-cli browser window and perform necessary authentication manually, then try the script again.
how to use xiaohongshu-search-summarizer

How to use xiaohongshu-search-summarizer 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-search-summarizer
2

Execute installation command

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

$npx skills add https://github.com/piekill/xiaohongshu-summarizer-skill --skill xiaohongshu-search-summarizer

The skills CLI fetches xiaohongshu-search-summarizer from GitHub repository piekill/xiaohongshu-summarizer-skill 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-search-summarizer

Reload or restart Cursor to activate xiaohongshu-search-summarizer. Access the skill through slash commands (e.g., /xiaohongshu-search-summarizer) 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)
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general reviews

Ratings

4.740 reviews
  • Hassan Torres· Dec 28, 2024

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

  • Camila Menon· Dec 20, 2024

    xiaohongshu-search-summarizer reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Shikha Mishra· Dec 12, 2024

    xiaohongshu-search-summarizer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Sakura Lopez· Dec 12, 2024

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

  • Ren Liu· Dec 8, 2024

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

  • Diego Dixit· Nov 11, 2024

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

  • Aditi Rao· Nov 7, 2024

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

  • Yash Thakker· Nov 3, 2024

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

  • Sakura Haddad· Nov 3, 2024

    xiaohongshu-search-summarizer reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Carlos Garcia· Oct 26, 2024

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

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