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peng-post-to-xhs-cli

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업데이트2026년 6월 1일 14:33

Research top XHS posts, write anti-AI copy, generate image cards via Gemini, and publish to 小红书 via xhs CLI. Full pipeline: research → write → generate → publish. Use when user asks for 小红书笔记/种草文案/爆款标题/发布到小红书/XHS cards.

설치

Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.

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mugpeng

mugpeng/oh-my-skills-diy

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소프트웨어 개발자컴퓨터 및 수학직·SOC 15-1252

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SKILL.md

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name	peng-post-to-xhs-cli
description	Research top XHS posts, write anti-AI copy, generate image cards via Gemini, and publish to 小红书 via xhs CLI. Full pipeline: research → write → generate → publish. Use when user asks for 小红书笔记/种草文案/爆款标题/发布到小红书/XHS cards.

Post to Xiaohongshu (CLI)

Research → Write → Generate → Publish — complete 小红书 workflow using xhs CLI and Gemini image generation.

Prerequisites

Dependency	Install	Check
xhs (xiaohongshu-cli)	`uv tool install xiaohongshu-cli`	`xhs --version`
bun	`brew install oven-sh/bun/bun`	`bun --version`
GOOGLE_API_KEY	Set env var	echo `$GOOGLE_API_KEY`

xhs Authentication

Before any publish, verify login:

xhs status          # check auth
xhs login           # auto-extract browser cookies
xhs login --qrcode  # QR code login if cookies unavailable

Script Directory

{baseDir} = this SKILL.md's directory. Resolve ${BUN_X}: prefer bun; else npx -y bun.

Script	Purpose
`scripts/main.ts`	Generate image(s) via Gemini — single or batch
`scripts/publish.ts`	Validate + publish to 小红书 via `xhs`

Workflow Overview

Phase 1: Research   → find top posts, analyze patterns, extract resonance
Phase 2: Write      → craft title + body + tags (anti-AI, character limits)
Phase 3: Generate   → create image cards via Gemini (or use user images)
Phase 4: Publish    → preview → user confirm → xhs post

Skip Phase 1 if user provides complete content. Skip Phase 3 if user provides images.

Phase 1: Research (先研究再写)

Goal: Find what works for this topic before writing a single word.

Step 1: Search top posts

xhs search "<topic>" --sort popular --type image --json

Pick 5-10 posts with high engagement. For each, record:

Title (original text)
Likes / comments / bookmarks (if available)
Body structure (1-line summary: e.g. "结论 → 清单 → 步骤 → CTA")
Hook (the opening line that grabs attention)
Evidence type (experience, comparison, data, before/after)
Engagement design (question, poll, CTA, "收藏" prompt)

Step 2: Read post details

xhs read <id> --json

Extract the full title and body for pattern analysis.

Step 3: Analyze comments

xhs comments <id> --all --json

Look for emotional resonance triggers:

Shared pain points ("我也是…")
Identity recognition ("打工人/学生党/宝妈")
Anxiety + solution ("终于有办法了")
Aspiration ("自律/松弛感/性价比")
Surprise ("原来这样也行")
Copy-ability ("我也能照做")

Step 4: Output analysis report

【分析总结报告】

标题规律
- <pattern 1>
- <pattern 2>

正文规律
- <pattern 1>
- <pattern 2>

高赞原因
1. <reason + evidence>
2. <reason + evidence>
3. <reason + evidence>

共鸣点
1. <resonance point> — "<quote>"
2. <resonance point> — "<quote>"

互动设计建议
- <suggestion>

Phase 2: Write (写文案)

Hard limits (必须遵守)

Title: ≤ 20 characters (aim ≤ 18 for safety)
Body: ≤ 1000 characters (aim ≤ 950 for safety)
Counting: all characters including spaces, punctuation, newlines, #tags

Anti-AI writing rules (去AI味)

Use "我" perspective: "我发现", "我踩过的坑", "我当时" — NOT "大家/用户/建议如下"
Add 2-3 specific details: a timestamp, a scene, a before/after comparison, an exact quote
Allow imperfection: "我感觉/可能/不确定但…" — don't sound authoritative
No template phrases: avoid "总的来说/综上/因此/首先其次最后/不容错过/速速"
Talk like a friend: short sentences, line breaks every 1-3 sentences, occasional colloquialisms

Output format

标题：<title>（<char count>/20）
正文：
<body>
（<char count>/1000）

标签：#tag1 #tag2 #tag3

配图：
- 图片1：<URL or path>
- 图片2：<URL or path>（如有）

Character check (mandatory)

If title > 20 chars: cut redundant words, remove subtitles, shorten. If body > 1000 chars: remove repetition, merge sentences, compress steps.

Phase 3: Generate Images (出图)

Option A: Generate via Gemini (default)

# Single image
${BUN_X} {baseDir}/scripts/main.ts --prompt "<prompt>" --image out.png --ar 9:16 --quality 2k

# Batch from prompt directory
${BUN_X} {baseDir}/scripts/main.ts --batchdir prompts/ --images-dir output/

Aspect ratio: 9:16 (portrait) preferred for XHS
Quality: 2k default, normal for speed
Prompts: .md files in a directory, each becomes one image

Option B: User-provided images

Skip generation. Use images directly in Phase 4.

Image requirements

At least 1 image, PNG or JPG
9:16 portrait ratio preferred
Clean, high-resolution, topic-relevant

Phase 4: Publish (发布)

Step 1: Check auth

xhs status

If not authenticated: xhs login or xhs login --qrcode.

Step 2: Preview for user confirmation (必须执行)

Show the complete content and wait for explicit confirmation:

【待发布内容预览】

标题：<title>（<chars>/20）
正文：
<body>
（<chars>/1000）

标签：#tag1 #tag2 #tag3

配图：
- 图片1：<path>
- 图片2：<path>（如有）

---
请确认：
- "确认"或"发布" → 开始发布
- "修改"或具体意见 → 调整内容
- "取消" → 终止

Do NOT publish without user confirmation.

Step 3: Publish via xhs

xhs post --title "<title>" --body "<body>" --images <img1> [<img2>] --tags "<tag1>" "<tag2>"

Or use the publish script (handles validation + generation + publish):

${BUN_X} {baseDir}/scripts/publish.ts \
  --title "<title>" \
  --content "<body>" \
  --images <img1> <img2> \
  --tags "<tag1>" "<tag2>"

# With image generation from prompts
${BUN_X} {baseDir}/scripts/publish.ts \
  --batchdir prompts/ \
  --title "<title>" \
  --content "<body>" \
  --tags "<tag1>" "<tag2>"

# Skip generation, publish existing images
${BUN_X} {baseDir}/scripts/publish.ts \
  --skip-gen \
  --images output/01.png output/02.png \
  --title "<title>" \
  --content "<body>"

Step 4: Report result

Output: published link/ID (if available), title, tag count, image count.

EXTEND.md (config)

Check these paths in order; first hit wins:

Path	Scope
`.peng-skills/peng-post-to-xhs-cli/EXTEND.md`	Project
`${XDG_CONFIG_HOME:-$HOME/.config}/peng-skills/peng-post-to-xhs-cli/EXTEND.md`	XDG
`$HOME/.peng-skills/peng-post-to-xhs-cli/EXTEND.md`	User home

Supported keys:

Key	Default	Description
`default_model`	`gemini-3.1-flash-image-preview`	Gemini model ID
`default_quality`	`2k`	`normal` or `2k`
`default_aspect_ratio`	`9:16`	Aspect ratio
`google_base_url`	(Google default)	Custom base URL for proxy

Value priority: CLI args → EXTEND.md → env vars → defaults.

Environment Variables

Variable	Description
`GOOGLE_API_KEY`	Google API key (required for image generation)
`GEMINI_API_KEY`	Alias for GOOGLE_API_KEY
`GOOGLE_BASE_URL`	Override base URL for proxy

xhs Quick Reference

Command	Purpose
`xhs status`	Check auth
`xhs login [--qrcode]`	Authenticate
`xhs search "<kw>" --sort popular --type image --json`	Search posts
`xhs read <id> --json`	Read post detail
`xhs comments <id> --all --json`	Get all comments
`xhs post --title "..." --body "..." --images x.png`	Publish
`xhs topics "<kw>"`	Search hashtags
`xhs hot -c <category>`	Trending by category
`xhs whoami`	Current user info

Limitations

No scheduled publish (use XHS app for timed posts)
No video publish (images only via this skill)
xhs rate limits: ~1-1.5s between requests, do not parallelize

Examples

Full pipeline (research → write → generate → publish)

User: "写一篇小红书：上班族快速晚餐，预算20元以内"

Research: xhs search "上班族晚餐" --sort popular --type image --json
Read top 5 posts + analyze comments
Output analysis report
Write title (≤20) + body (≤1000) + tags
Generate cover image via Gemini
Show preview → user confirms
xhs post --title "..." --body "..." --images cover.png --tags "上班族" "快手晚餐"

User provides content + images

User: "用这两张图发小红书，标题是XX，正文是YY"

Skip research + writing
Validate title/body length
Check auth
Show preview → user confirms
Publish

Research only (no publish)

User: "帮我分析一下'露营装备'这个话题在小红书上什么写法火"

Research: search + read + comment analysis
Output analysis report
Stop (no writing, no publishing)