Agent skill

Xiaohongshu Auto Posting

by browser-act in browser-act/skills

Automates the complete Xiaohongshu (XHS / Little Red Book) content operation workflow: pain-point topic collection → style case collection → topic selection → content writing → publishing →…

MITAuto-check passedMarketing & SEO

Install Xiaohongshu Auto Posting

skills CLI
$ npx skills add browser-act/skills --skill xiaohongshu-auto-posting -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install browser-act/skills xiaohongshu-auto-posting --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/solutions/social-listening/xiaohongshu-auto-posting .claude/skills/xiaohongshu-auto-posting && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
xiaohongshu-auto-posting
GitHub stars
6.1k
Token cost
~3.9k tokens
SKILL.md length
1,640 words
Files
1
Skills in repo
87
Repo updated
First seen
Licence
MIT

At a glance

Automates the complete Xiaohongshu (XHS / Little Red Book) content operation workflow: pain-point topic collection → style case collection → topic selection → content writing → publishing →…

  • Works in 3 steps: Tool Readiness → Login Verification → Session Lifecycle
  • User mentions xiaohongshu auto posting
  • SKILL.md covers Language, Objective, Prerequisites and Pre-execution Checks, plus 15 more sections
  • Calls uv; reaches creator.xiaohongshu.com

What it does

Xiaohongshu Auto Posting is an agent skill from browser-act/skills. Automates the complete Xiaohongshu (XHS / Little Red Book) content operation workflow: pain-point topic collection → style case collection → topic selection → content writing → publishing → performance tracking. Use when user mentions xiaohongshu auto posting, xhs auto post, little red book posting, xiaohongshu post, xiaohongshu auto posting, xiaohongshu content operations, xhs content marketing, post to xiaohongshu, publish on xhs, post on xiaohongshu, xiaohongshu promotion, xiaohongshu operations, xiaohongshu…

Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Content marketing, Social publishing and cross-posting and Social media marketing. It works with Xiaohongshu. The repository describes itself as: Browser automation CLI built for AI agents. Break through anti-bot walls, hand off to humans across platforms when stuck. Parallel multi-task execution, independent multi-session… The licence is MIT.

When your agent uses it

  • User mentions xiaohongshu auto posting
  • Little red book posting
  • Xiaohongshu post
  • Xiaohongshu auto posting

Example prompts

  • “Use the xiaohongshu-auto-posting skill to automate the complete Xiaohongshu (XHS / Little Red Book) content operation workflow: pain-point topic…”
  • “/xiaohongshu-auto-posting”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Tool Readiness
  2. Login Verification
  3. Session Lifecycle

What it can do on your machine

Read from SKILL.md and the folder at commit 11c057b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • creator.xiaohongshu.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Xiaohongshu Auto Posting loads about 3.9k tokens when it runs. Until then it costs about 179 tokens; SKILL.md has 1,640 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~179
When it runs · the whole SKILL.md, loaded when a task matches
~3.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from browser-act/skills at commit 11c057b, republished under its MIT licence (© browser-act). 1,640 words, ~3,907 tokens.

Download SKILL.mdSave it as .claude/skills/xiaohongshu-auto-posting/SKILL.md (or your agent's skills folder).
name
xiaohongshu-auto-posting
description
Automates the complete Xiaohongshu (XHS / Little Red Book) content operation workflow: pain-point topic collection → style case collection → topic selection → content writing → publishing → performance tracking. Use when user mentions xiaohongshu auto posting, xhs auto post, little red book posting, xiaohongshu post, xiaohongshu auto posting, xiaohongshu content operations, xhs content marketing, post to xiaohongshu, publish on xhs, post on xiaohongshu, xiaohongshu promotion, xiaohongshu operations, xiaohongshu automation, xhs automation, track xhs performance, track xiaohongshu performance, xiaohongshu data tracking, xiaohongshu analytics, switch xhs account, update xhs keywords.

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 description)
  3. Product URL (website / GitHub / App Store, etc.)
  4. Install / usage command (optional; for SaaS products, enter the core operation path)
  5. Initial keywords (1–5, comma-separated, used for topic search)

Write to workspaces/xhs-posting/session_state.json and workspaces/xhs-posting/config/keywords.json, then continue to Phase 0.4.

0.4 Account Safety Check
  • Read posting.last_posted_at from session_state.json
  • If less than min_interval_hours have passed since the last post, notify the user and ask whether to force continue
  • If today's post count ≥ daily_limit, notify the user
0.5 Browser Launch & Login Verification

Generate a unique session name for this execution:

$SESSION = "xhs-<YYYYMMDD>-<HHMM>"   # e.g., xhs-20260611-1430

Open the browser using the stored browser_id:

bash
browser-act --session $SESSION browser open <browser_id> https://creator.xiaohongshu.com/new/home
browser-act --session $SESSION wait stable

Verify login: check that the current URL stays on creator.xiaohongshu.com (not redirected to the login page) and that a user avatar / nickname element is present in state.

  • Not logged in → instruct the user to scan the QR code in --headed mode:
    bash
    browser-act --session $SESSION browser open <browser_id> https://creator.xiaohongshu.com/new/home --headed
    Wait for the user to confirm login, then continue.

Phase 1 — Pain-Point Topic Collection

Full execution parameters: references/phase1-topic-collection.md.

Overview:

  1. Keyword rotation: read the next keyword from config/keywords.json (sequential mode)
  2. XHS search: search the keyword, sort by hottest, collect metadata for the top 10–15 notes
  3. Listing Pass: extract shallow fields directly from search results (title, likes, collects, comments, snippet)
  4. Engagement scoring: score = likes + collects × 2 + comments × 1.5
  5. Top 5 Deep: click into the top 5 notes and extract deep fields (key quote, pain description, topic tags)
  6. Generate report: output workspaces/xhs-posting/<date>/topics/TOPICS_<kw-slug>.md
  7. Display Top 5 and wait for user selection

Phase 2 — Top Case Collection (Style Reference)

Full execution parameters: references/phase2-case-collection.md.

Overview:

  1. Use the same search results as Phase 1; no additional request needed
  2. Collect full text from the top 3 high-engagement notes (title + body + tags)
  3. Analyze writing style: opening type, paragraph rhythm, emoji density, topic tag strategy
  4. Generate Style Fingerprint
  5. Write style fingerprint to workspaces/xhs-posting/<date>/style_fingerprint.json

Phase 2 runs in parallel with Phase 1 (shared search results, different analysis angle).


Phase 3 — Topic Selection

After displaying the Phase 1 Top 5, ask the user:

Here are the Top 5 topics. Which ones do you want to write?
(enter numbers like "1 3"; "all" for all; "skip" to pass today)
>

On receiving the reply:

  1. Write the selected topic list to workspaces/xhs-posting/<date>/selected_topics.json
  2. For each selected topic, confirm the publish strategy (publish now / save as draft)

If the user enters "skip" → end this run without advancing last_index.


Show full SKILL.md (680 more words)Show less

Phase 4 — Content Writing

Full writing guidelines: references/phase4-writing.md.

Write one draft per selected topic, show a preview after each draft and wait for user approval before moving to the next.

Writing framework: Pain resonance → Struggle / attempts → Product discovery → Concrete proof → Call to action

Hard requirements:

  • Title ≤ 20 characters (must use native setter when writing; see references/phase5-publish.md §5)
  • Body ≤ 1000 characters, clear paragraphs
  • Topic tags: 3–5, covering keyword + product brand + scene term
  • Must include a closing CTA (comment / save / follow)

Pre-Write Gate (confirm all items before writing begins):

  1. key_quote extracted from Phase 1 deep pass
  2. pain_description confirmed from Phase 1
  3. tools_tried confirmed from Phase 1
  4. Product info (name, install command) read from session_state.json
  5. Style fingerprint (style_fingerprint.json) read

After writing, generate an HTML preview (see references/phase4-writing.md §7), display it in the conversation, then ask:

Preview above. Ready to publish?
- "ok" / "publish" — proceed to Phase 5 publishing
- "edit: <instruction>" — revise per instruction and re-preview
- "draft" — save as draft, do not publish

Phase 5 — Publishing

Full execution parameters: references/phase5-publish.md.

Overview:

  1. Image generation: use XHS Creator Center's built-in "Text-to-Image" feature to auto-generate a cover (recommended), or read a user-provided local image
  2. Image upload (external image): two-step upload — GET permit → PUT file — to obtain file_id
  3. Content Verification Gate: title ≤ 20 characters, body non-empty, topic tags present
  4. Fill Creator Center: navigate → paste content → add topics → set cover
  5. Publish: click the "Publish" button
  6. Capture publish URL: extract note_id from the redirect URL or page
  7. Write record: update workspaces/xhs-posting/<date>/published.json, update posting.last_posted_at in session_state.json

Gate: publish only executes after user approval of the content; auto-publishing unapproved content is not allowed.


Phase 6 — Performance Tracking

Full execution parameters: references/phase6-tracking.md.

Standalone trigger: when the user says "track performance" / "see data" / similar trigger words, jump directly to this phase.

Sub-actions:

Sub-actionTriggerDescription
6.1 Single post 24h trackingAuto-scheduled after Phase 5 publishRevisit note_id 24h later, update initial metrics
6.2 Batch data collectionUser trigger / weeklyPull latest data for all published notes from recent N days
6.3 View commentsUser triggerView new comments, draft replies, reply after user approval
6.4 Generate reportUser triggerAggregate data, output table report

Data stored locally in workspaces/xhs-posting/tracking/.


Account Safety Rules

  1. Posting frequency: ≤ 1 post per account per day, ≥ 6 hours between posts
  2. Content originality: before each publish, check title similarity against historical posts (simple character-level check to avoid exact duplicates)
  3. Avoid sensitive terms: body and title must not contain WeChat IDs, Weibo handles, contact info, or external links
  4. No artificial engagement: do not simulate batch likes / collects / comments
  5. Topic tags: use existing platform topics only; do not create new ones
  6. Image compliance: use XHS built-in generated images or self-owned copyright images; do not use screenshots from others

Success Criteria

  • Phase 1: candidates >= 10, deep-extracted notes = 5, report file exists
  • Phase 2: style_fingerprint.json written, sample_notes count >= 1
  • Phase 4: user explicitly approves draft content
  • Phase 5: redirect URL contains published=true, note_id captured and written to published.json
  • Phase 6: all tracked note metrics updated without error

Session Cleanup

After completing the workflow (any phase exit — normal completion, user abort, or error), close the session to release resources:

bash
browser-act session close $SESSION

Do not close if the user explicitly requests to keep the session open for manual inspection.


Known Limitations

  • Max 1 post per account per day; minimum 6-hour interval enforced
  • window.__INITIAL_STATE__ hydration timing is inconsistent — retry once after 2 s if empty
  • search/notes XHR may not appear in all browser fingerprints; fall back to get markdown if missing
  • Topic chip insertion silently fails after execCommand body injection — always embed hashtags directly in body text (see references/phase5-publish.md §4.3)
  • note_id may not be auto-capturable when note is under review; record as pending_review and fill in manually later

Experience Notes

Path: {working-directory}/browser-act-skill-forge-memories/xiaohongshu-auto-posting-xhs-post.memory.md

Before execution: if the file exists, read it first — it records unexpected situations encountered during past executions (e.g., a strategy has become ineffective); adjust strategy accordingly.

After execution: if an unexpected situation is encountered (strategy became ineffective, page redesigned, anti-scraping upgraded, better path discovered), append a line: {YYYY-MM-DD}: {what happened} → {conclusion}

Normal execution does not write to the file. Do not record which keywords were used or how many results were returned — those are task outputs, not experience.

© browser-act, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in solutions/social-listening/xiaohongshu-auto-posting of browser-act/skills.

Open the folder on GitHubat commit 11c057b

Compare with similar skills

Xiaohongshu Auto Posting next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Xiaohongshu Auto Posting compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Xiaohongshu Auto Posting this skillbrowser-act/skills6.1k—~3.9kAutomated safety check: PassMIT
15 Social Listening Globalminhnv0807/ai-business-skills610—~4.8kAutomated safety check: PassMIT
Content Performance Analysisvivy-yi/xiaohongshu-skills478—~3.1kAutomated safety check: PassNone
Hashtag Optimizationvivy-yi/xiaohongshu-skills478—~2.2kAutomated safety check: PassNone
Publishing Timingvivy-yi/xiaohongshu-skills478—~2.9kAutomated safety check: PassNone
Tag Optimizationvivy-yi/xiaohongshu-skills478—~2.9kAutomated safety check: PassNone

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Works with

Categories

Questions about Xiaohongshu Auto Posting

What does Xiaohongshu Auto Posting do?

Automates the complete Xiaohongshu (XHS / Little Red Book) content operation workflow: pain-point topic collection → style case collection → topic selection → content writing → publishing →…. Xiaohongshu Auto Posting is an agent skill from browser-act/skills. Automates the complete Xiaohongshu (XHS / Little Red Book) content operation workflow: pain-point topic collection → style case collection → topic selection → content writing → publishing → performance tracking.

When should I use Xiaohongshu Auto Posting?

Xiaohongshu Auto Posting fits situations like: user mentions xiaohongshu auto posting; little red book posting; xiaohongshu post; xiaohongshu auto posting.

How do I install Xiaohongshu Auto Posting in Claude Code?

Run `npx skills add browser-act/skills --skill xiaohongshu-auto-posting -a claude-code`. Or copy the skill folder (solutions/social-listening/xiaohongshu-auto-posting in browser-act/skills) into .claude/skills/xiaohongshu-auto-posting in your project. Claude Code loads it when a task matches its description.

How do I install Xiaohongshu Auto Posting in Codex?

Run `npx skills add browser-act/skills --skill xiaohongshu-auto-posting -a codex`. Or copy the skill folder (solutions/social-listening/xiaohongshu-auto-posting in browser-act/skills) into .agents/skills/xiaohongshu-auto-posting in your project. Codex loads it when a task matches its description.

Can I use Xiaohongshu Auto Posting in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add browser-act/skills --skill xiaohongshu-auto-posting -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/xiaohongshu-auto-posting, .gemini/skills/xiaohongshu-auto-posting, .github/skills/xiaohongshu-auto-posting and .opencode/skills/xiaohongshu-auto-posting in your project.

What does Xiaohongshu Auto Posting need to run?

Going by SKILL.md and its folder, Xiaohongshu Auto Posting needs the command-line tools its instructions call (uv). Our summary lists: Python 3.

Does Xiaohongshu Auto Posting access the network?

SKILL.md names 1 domain. In commands or code: creator.xiaohongshu.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Xiaohongshu Auto Posting safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Xiaohongshu Auto Posting use?

Xiaohongshu Auto Posting is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Xiaohongshu Auto Posting use?

About 3.9k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Xiaohongshu Auto Posting?

Skills that share tags, products or a category with Xiaohongshu Auto Posting: 15 Social Listening Global (minhnv0807/ai-business-skills, 610 stars), Content Performance Analysis (vivy-yi/xiaohongshu-skills, 478 stars), Hashtag Optimization (vivy-yi/xiaohongshu-skills, 478 stars) and Publishing Timing (vivy-yi/xiaohongshu-skills, 478 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Xiaohongshu Auto Posting?

browser-act (a GitHub organization) maintains it in browser-act/skills, which has 6,122 GitHub stars. The repository holds 87 skills in this directory. The repository was last updated on August 24, 2026.

Source: browser-act/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.