social-media-agent
仅使用 OpenClaw 本机工具对 X/Twitter 进行自主社交媒体管理。当用户想要自动进行 X 发布、生成内容、跟踪参与度或建立受众群体时使用。触发有关推文、社交媒体策略、X 参与度、内容日历或增加关注者的请求。无需 API 密钥 — 使用浏览器自动化和 web_fetch。
安装 / 下载方式
TotalClaw CLI推荐
totalclaw install totalclaw:totalclaw~psmamm-social-media-agentcURL直接下载,无需登录
curl -fsSL https://skills.taituai.com/api/skills/totalclaw%3Atotalclaw~psmamm-social-media-agent/file -o psmamm-social-media-agent.md## 概述(中文)
仅使用 OpenClaw 本机工具对 X/Twitter 进行自主社交媒体管理。当用户想要自动进行 X 发布、生成内容、跟踪参与度或建立受众群体时使用。触发有关推文、社交媒体策略、X 参与度、内容日历或增加关注者的请求。无需 API 密钥 — 使用浏览器自动化和 web_fetch。
## 原文
# Social Media Agent
Manage an X/Twitter account autonomously using only OpenClaw's built-in tools. No external APIs, no npm packages, no API keys needed.
## Core Tools
- `browser` — Post tweets, engage with posts, take screenshots
- `web_fetch` — Scrape profiles, trending topics, news for content
- `sessions_spawn` — Run content generation in parallel
- `cron` — Schedule regular posting and engagement
- `memory_search` / files — Track what was posted, engagement stats
## Posting a Tweet
1. Ensure Chrome is running with remote debugging OR use OpenClaw's built-in browser
2. Navigate to x.com/compose/post
3. Take a snapshot to find the text input
4. Type the tweet text
5. Click the Post button
6. Verify with another snapshot
```
browser open → x.com/compose/post
browser snapshot → find textbox ref
browser act → click textbox ref
browser act → type tweet text
browser snapshot → find Post button ref
browser act → click Post button
```
**Important timing:** Wait 3-4 seconds after page loads before interacting.
## Content Generation Strategy
### Content Pillars
Rotate through these categories for balanced content:
| Pillar | % | Examples |
|--------|---|---------|
| Industry Insights | 40% | AI news commentary, tech analysis |
| Building in Public | 30% | Progress updates, behind-the-scenes |
| Philosophy/Thought | 20% | Hot takes, provocative questions |
| Engagement/Humor | 10% | Memes, replies, community interaction |
### Content Pipeline
1. **Research:** Use `web_fetch` on news sites (theverge.com, techcrunch.com, news.ycombinator.com)
2. **Generate:** Spawn a content-agent via `sessions_spawn` with research results
3. **Store:** Save drafts in `memory/tweet-drafts-YYYY-MM-DD.json`
4. **Review:** Check drafts for quality, brand consistency
5. **Post:** Use browser automation to publish
6. **Track:** Log posted tweets in `memory/social-log.json`
### Draft Format
```json
{
"text": "Tweet text under 280 chars",
"topic": "What it's about",
"hook": "Why it might engage"
}
```
## Engagement Strategy
### Posting Rules
- **Max 3-5 tweets per day** — Quality over quantity
- **Min 45 seconds between actions** — Avoid rate limiting
- **No spam** — Genuine engagement only
- **Track everything** — Log all posts and engagement
### Growing Followers
1. Post consistently (daily)
2. Engage with relevant accounts (reply, quote tweet)
3. Use trending topics when relevant
4. Be authentic — no generic AI responses
## Scheduling with Cron
Set up automated posting schedules:
```
Morning post: cron expr "0 9 * * *" — Industry insight
Afternoon post: cron expr "0 15 * * *" — Building update
Evening post: cron expr "0 21 * * *" — Hot take
```
Use `sessionTarget: "isolated"` with `payload.kind: "agentTurn"` for autonomous posting.
## Anti-Patterns (Avoid)
- Do NOT post more than 5 tweets per day (looks spammy)
- Do NOT use generic engagement ("Great post!" "So true!")
- Do NOT post without reading the content you're commenting on
- Do NOT use API keys when browser automation works
- Do NOT build external tools when OpenClaw native suffices
## Analytics Tracking
Track engagement in `memory/social-log.json`:
```json
{
"date": "2026-02-08",
"posted": 3,
"platform": "x",
"handle": "@YourHandle",
"tweets": [
{"text": "...", "time": "09:00", "topic": "ai-news"}
]
}
```
Review weekly: What topics got most engagement? Adjust strategy accordingly.
## Quick Reference
For detailed content templates and examples, see [references/content-templates.md](references/content-templates.md).