Social Media Agent

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.

Audits

Suspicious

ClawScanSuspicious

Agentic behavior and permission review.

Static analysisPass

Pattern checks against bundled files.

VirusTotalPass

Multi-engine malware detections and file reputation.

Install

openclaw skills install social-media-agent

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

Ensure Chrome is running with remote debugging OR use OpenClaw's built-in browser
Navigate to x.com/compose/post
Take a snapshot to find the text input
Type the tweet text
Click the Post button
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

Research: Use web_fetch on news sites (theverge.com, techcrunch.com, news.ycombinator.com)
Generate: Spawn a content-agent via sessions_spawn with research results
Store: Save drafts in memory/tweet-drafts-YYYY-MM-DD.json
Review: Check drafts for quality, brand consistency
Post: Use browser automation to publish
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

Post consistently (daily)
Engage with relevant accounts (reply, quote tweet)
Use trending topics when relevant
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.