Social Media Agent

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name: social-media-agent description: Autonomous social media management for X/Twitter using only OpenClaw native tools. Use when a user wants to automate X posting, generate content, track engagement, or build an audience. Triggers on requests about tweets, social media strategy, X engagement, content calendars, or growing a following. No API keys required — uses browser automation and web_fetch.

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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

{
  "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:

{
  "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.