Post Twitter

Post to Twitter (X) / Generate Twitter Summary

Create and publish tweets, or summarize Twitter activity for business intelligence.

Workflow A: Post to Twitter

1. Generate Tweet Content

Read vault/Business_Goals.md to understand current business objectives. Draft a tweet that:

• Is concise and impactful (max 280 characters)
• Uses 2-4 relevant hashtags
• Includes a clear value proposition or call-to-action
• Stays professional and on-brand
• Thread format for longer announcements (number each tweet 1/N)

2. Create Approval Request

All tweets require human approval before publishing.

Create an approval file in vault/Pending_Approval/:

---
type: approval_request
request_id: "YYYYMMDD_HHMMSS_twitter_post"
action: twitter_post
priority: medium
created: ISO-8601
expires: ISO-8601 (24 hours from creation)
status: pending
details:
  platform: "twitter"
  content_preview: "First 100 chars of tweet..."
  character_count: "0"
---

# Approval Required: Twitter Post

## Proposed Tweet
[Full tweet text here — max 280 characters]

## Hashtags
[Hashtags here]

## How to Respond
- **To Approve**: Move this file to the `/Approved` folder
- **To Reject**: Move this file to the `/Rejected` folder

3. Publish (After Approval)

Once the file appears in vault/Approved/:

1. Start Playwright MCP if not running:

   bash .claude/skills/browsing-with-playwright/scripts/start-server.sh
   

2. Navigate to Twitter/X:

   python3 .claude/skills/browsing-with-playwright/scripts/mcp-client.py call \
     -u http://localhost:8808 -t browser_navigate \
     -p '{"url": "https://x.com/compose/tweet"}'
   

3. Type the tweet content and click Post.

4. Verify success by checking for confirmation.

4. Log the Action

{
  "timestamp": "ISO-8601",
  "action_type": "twitter_post_published",
  "actor": "claude_code",
  "platform": "twitter",
  "content_preview": "First 100 chars...",
  "approval_status": "approved",
  "approved_by": "human",
  "result": "success"
}

Workflow B: Generate Twitter Activity Summary

1. Scan /Needs_Action

Read all TWITTER_*.md files in vault/Needs_Action/.

2. Categorize Notifications

Group by type:

• Direct messages (high priority)
• Mentions and replies (high priority)
• Follow notifications (medium priority)
• Engagement: likes, retweets, quotes (low priority)
• Business/analytics notifications (medium priority)

3. Write Summary

Create a summary in vault/Briefings/TWITTER_Summary_YYYYMMDD.md with:

• Total notification count
• DMs and mentions requiring response
• Engagement metrics (likes, retweets, impressions)
• Top performing content
• Recommended actions

4. Log the Action

{
  "timestamp": "ISO-8601",
  "action_type": "twitter_summary_generated",
  "actor": "claude_code",
  "result": "success"
}