xiaohongshu-auto-posting
This skill automates the complete Xiaohongshu content workflow from topic discovery through performance tracking. Use it when you need to find high-engagement pain-point topics, collect writing style references, generate platform-native content, publish to Xiaohongshu with approval, and monitor post-publish metrics automatically.
git clone --depth 1 https://github.com/browser-act/skills /tmp/xiaohongshu-auto-posting && cp -r /tmp/xiaohongshu-auto-posting/solutions/social-listening/xiaohongshu-auto-posting ~/.claude/skills/xiaohongshu-auto-postingSKILL.md
# Xiaohongshu Auto-Posting (XHS Auto-Posting)
> End-to-end Xiaohongshu content operation: topic discovery → style reference → writing → publishing → performance tracking.
## Language
All process output to user (progress updates, questions, status notifications) follows the user's language.
## Objective
Automate a complete Xiaohongshu content operation cycle for a configured product: discover high-engagement pain-point topics via search, collect writing style references, generate platform-native content aligned with the style fingerprint, publish with user approval, and track post-publish performance metrics.
## Prerequisites
- Xiaohongshu creator center (`creator.xiaohongshu.com`) already logged in on a configured stealth browser (browser ID stored in `session_state.json`)
- `workspaces/xhs-posting/` workspace (auto-created on first run)
## Pre-execution Checks
### 1. Tool Readiness
If browser-act has been confirmed available in the current session → skip this step.
Invoke `browser-act` via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry.
### 2. Login Verification
Covered in Phase 0.5 — login check is deferred until session state is loaded (Phase 0.2) and the browser is opened. If the user triggers Phase 6 directly (standalone tracking mode), still complete Phase 0.2 and Phase 0.5 first.
### 3. Session Lifecycle
Each execution generates a unique session name (`xhs-<YYYYMMDD>-<HHMM>`) to avoid cross-conversation conflicts. The session is opened once in Phase 0.5 and closed at the end of the workflow. All commands in this Skill reference the session via `$SESSION` — the actual name is determined at runtime.
---
## Runtime Workspace
All runtime files (config, drafts, publish records, screenshots) are written to **the user's working directory (CWD)** under `workspaces/xhs-posting/`. This directory is auto-created on first run.
```
workspaces/xhs-posting/ ← relative to user CWD
├── session_state.json # account & product config
├── config/
│ └── keywords.json # keyword pool
├── tracking/
│ └── published.json # published note records
├── reports/ # performance reports
└── <YYYY-MM-DD>/ # per-run date directory
├── topics/
├── selected_topics.json
├── style_fingerprint.json
├── drafts/
└── replies/
```
---
## Quick Start
```
/xiaohongshu-auto-posting
```
Standalone triggers (jump directly to the corresponding phase, skipping Phase 0–4):
- `"track performance"` / `"see data"` / `"data collection"` → Phase 6 performance tracking
- `"settings"` / `"switch account"` / `"update keywords"` → Phase 0 configuration wizard
---
## Operational Rules
Three rules that apply to every browser-act session. Violating any one causes silent failures or long hangs. Full details in `references/phase5-publish.md §0`.
**Rule 1 — Never pipe browser-act output directly**
Redirect state output to a temp file, then grep the file. Piping may background the command when output contains multi-byte characters, making the result unavailable synchronously.
```bash
# WRONG
browser-act --session $SESSION state | grep "Publish"
# CORRECT
browser-act --session $SESSION state > /tmp/s.txt 2>&1 && grep "Publish" /tmp/s.txt
```
**Rule 2 — Escape all non-ASCII content before passing to eval --stdin**
Non-ASCII literals (Chinese, emoji) in JS source cause encoding errors in the subprocess pipeline. Escape to `\uXXXX` first:
```python
def to_ascii_js(s):
return ''.join(r'\u{:04x}'.format(ord(c)) if ord(c) > 127 else c for c in s)
js = to_ascii_js(open('tmp/script.js', encoding='utf-8').read())
subprocess.run([..., 'eval', '--stdin'], input=js.encode('ascii'), ...)
```
**Rule 3 — Use `click`, not `eval`, for actions that trigger navigation**
`eval` hangs (~30 s timeout) when the callback causes a page redirect. Always use `browser-act --session $SESSION click <index>` for the publish button, then verify the URL immediately after.
---
## Phase 0 — Initialization
### 0.1 Tool Check
Run `browser-act browser list`:
- Command not found → run `uv tool upgrade browser-act-cli || uv tool install browser-act-cli --python 3.12`, then continue
- Returns normally → continue
### 0.2 Session State Load
Read `workspaces/xhs-posting/session_state.json`:
- File does not exist, or `browser_id` is empty → proceed to **0.3 First-time Configuration Wizard**
- File exists and `browser_id` is non-empty → load and display current config, ask user to confirm or modify
`session_state.json` structure:
```json
{
"browser_id": "",
"account": {
"nickname": "",
"profile": ""
},
"product": {
"name": "",
"tagline": "",
"url": "",
"install_cmd": ""
},
"keywords_file": "workspaces/xhs-posting/config/keywords.json",
"posting": {
"daily_limit": 1,
"min_interval_hours": 6,
"last_posted_at": null
}
}
```
### 0.3 First-time Configuration Wizard (when file does not exist or browser_id is empty)
**Step 1: Browser Selection**
Run `browser-act browser list`, then:
**When existing browsers are present**: display all browsers (id / name / type / desc / proxy), ask the user which one to use for posting:
```
Existing browsers:
#1 id=xxx name="xxx" type=stealth desc="xxx" proxy=XX
#2 id=xxx name="xxx" type=chrome desc="xxx"
Select a browser number to use for posting, or enter "new" to create one:
>
```
**When no browsers exist, or user enters "new"**:
1. Load advanced guide: `browser-act get-skills advanced`
2. Ask the user:
- Browser name (custom, e.g. "xhs-poster")
- Proxy requirements (needed? region or custom URL?)
3. Create the browser following the advanced guide's Confirmation Gate protocol
4. Record the new browser ID, continue to Step 2
**Step 2: Product & Keyword Configuration**
Ask the user:
1. Product name (brand keyword, used in tags and body)
2. Product tagline (one-sentence descriExtracts comprehensive wholesale product data from 1688.com product detail pages: title, tiered pricing, SKU variants with dimensions/weight, product images, seller info, shop scores, buyer protection, cross-border flags, product attributes, coupon/promotion data, and review stats. Use when user mentions 1688, 1688.com, wholesale China, alibaba wholesale, B2B China sourcing, Chinese wholesale scraper, 1688 product scrape, 1688 offer, 1688 detail, extract 1688 data, pull 1688 listings, get wholesale price, 1688 supplier info, factory stats 1688, 1688 SKU variants, 1688 product attributes, 1688 shop score, DSR score 1688, 1688 buyer protection, 1688 cross-border, 1688 dropship. Also applies to: scraping bulk product data from 1688 by offer ID list, monitoring 1688 supplier metrics, extracting 1688 pricing tiers for resale analysis.
Fetches complete Airbnb listing details for a given numeric listing ID via the internal GraphQL API, returning title, room type, description, amenities, photos, coordinates, city, house rules, highlights, ratings, review count, bedroom configuration, and property overview. Use when user mentions Airbnb listing details, Airbnb property info, Airbnb room details, get Airbnb listing data, Airbnb amenities list, Airbnb house rules, Airbnb property description, Airbnb detail page scraper, Airbnb rooms detail, Airbnb property page data, Airbnb listing info, fetch Airbnb room details, pull Airbnb listing.
Extracts Airbnb accommodation search results from a destination query via SSR-embedded data, returning listing ID, URL, name, coordinates, rating, price, photos, and badge info for each result, plus pagination cursors for multi-page retrieval. Use when user mentions Airbnb search results, Airbnb listings, vacation rental search, short-term rental listings, scrape Airbnb, get Airbnb data, find rentals on Airbnb, Airbnb destination search, Airbnb property list, Airbnb stays search, Airbnb accommodation results, pull Airbnb listings, collect Airbnb search data, Airbnb scraper, Airbnb search page extraction, Airbnb search by destination.
Amazon Alexa for Shopping Q&A automation: submits questions to Amazon's Alexa/Rufus AI shopping assistant and collects response text; supports optional keyword search context (navigate to search results page before asking for category-specific answers). Use when user mentions Amazon Alexa, Rufus, Amazon shopping assistant, Amazon AI chat, ask Amazon, Amazon Q&A, automate Alexa questions, Rufus chatbot, Amazon assistant automation, collect Alexa responses, bulk question submission to Amazon, keyword search context, category research. Also applies to extracting Amazon product recommendations from conversational AI, automating repeated queries to Amazon's AI shopping feature, collecting Alexa shopping responses at scale, or market research within a specific product category.
This skill helps users extract structured product details from Amazon using a specific ASIN (Amazon Standard Identification Number). Use this skill when the user asks to get Amazon product details by ASIN, lookup Amazon product title and price using ASIN, extract Amazon product ratings and reviews count for a specific ASIN, check Amazon product availability and current price, get Amazon product description and features via ASIN, enrich product catalog with Amazon data using ASIN, monitor Amazon product price changes for specific ASINs, retrieve Amazon product brand and material information, fetch Amazon product images and specifications by ASIN, validate Amazon ASIN and get product metadata.
This skill helps users extract structured best-selling product data from Amazon via the BrowserAct API. Agent should proactively apply this skill when users express needs like search for best selling products on Amazon, extract Amazon product data based on keywords, find top rated Amazon products, monitor Amazon competitor prices and sales, discover trending products on Amazon marketplace, extract Amazon product titles prices and ratings, gather Amazon product sales volume for market research, search Amazon best sellers in specific region, collect Amazon product reviews and promotion details, analyze Amazon product availability and badges, get Amazon product data for market analysis.
Amazon Best Sellers listing scraper: extract product cards from any Amazon Best Sellers (zgbs) or /gp/bestsellers/ category page — returns rank (position on chart), asin, title, url, image, imageAlt, price, stars, reviewCount, ratingRaw per item, plus category metadata (categoryName, categoryFullName, categoryUrl) and pagination state (currentPage, hasNextPage, nextPageUrl). Works across all Amazon regional TLDs (amazon.com, amazon.co.uk, amazon.de, amazon.co.jp, amazon.fr, amazon.it, amazon.es, amazon.ca, amazon.com.au, amazon.in, etc.). Use when user mentions Amazon Best Sellers, Amazon bestsellers, Amazon top 100, Amazon zgbs, Amazon /zgbs/, Amazon /gp/bestsellers/, Amazon Best Sellers Rank, Amazon BSR, Amazon top ranked products, Amazon top-selling products, Amazon chart, Amazon category ranking, Amazon best sellers by category, Amazon best sellers electronics, Amazon best sellers kitchen, Amazon best sellers toys, scrape Amazon bestsellers, extract Amazon top 100, Amazon rank scraper, Amazon best seller list, Amazon leaderboard, Amazon trending products, discover trending Amazon products, Amazon niche discovery, Amazon top ranked ASINs. Also applies to competitive intelligence via ranking snapshots, spotting up-and-coming products, sourcing bestseller ASINs for further enrichment, tracking rank changes over time, and building bestseller-per-category datasets.
This skill helps users extract basic product details other sellers prices and seller ratings from Amazon via ASIN automatically using the BrowserAct API. Agent should proactively apply this skill when users express needs like query Amazon buy box information, monitor Amazon product prices, extract Amazon product details by ASIN, check other sellers prices on Amazon, get Amazon seller ratings and feedback count, monitor buy box ownership for a specific ASIN, track Amazon fulfillment methods for competitors, compare Amazon product prices across different sellers, retrieve Amazon buy box availability status, analyze Amazon seller profile details.