X Engagement Skill 🎯
Automatically find people discussing pain points related to your X post and reply with helpful context + link.
Trigger
Run manually after posting, or hook to post notifications:
# Manual trigger x-engage <post-url>
Workflow
1. Analyze Post
- •Extract topic, pain point addressed, keywords
- •Identify the solution being offered
2. Search for Targets
Find people who:
- •Are complaining about the problem you solved
- •Are discussing the topic with questions
- •Are building similar things and would benefit
- •Are new users who need the tip
Search queries to try:
- •Direct pain:
"[problem] frustrating" OR "[problem] annoying" - •Questions:
"how to [topic]" OR "[topic] help" - •Ecosystem:
@[relevant_account] [topic] - •New users:
"just installed [product]" OR "trying [product]"
3. Filter Targets
Good targets:
- •Recent posts (< 24h ideal, < 48h max)
- •Have engagement (not bots)
- •Genuine pain/question (not promotional)
- •Not already replied to by us
Skip:
- •Promotional/spam accounts
- •Posts with 0 engagement and suspicious patterns
- •Already have 50+ replies (won't be seen)
- •Competitors or hostile accounts
4. Craft Replies
Each reply must:
- •Be contextual to THEIR specific post
- •Offer genuine value (not just a link drop)
- •Include link to your post naturally
- •Be under 280 chars
- •Sound human, not templated
Reply formula:
[Acknowledge their point] + [How this helps] + [Link]
Examples:
- •"The context struggle is real. This saves state BEFORE it fills — game changer. [link]"
- •"Already built exactly this. [link]"
- •"Pro tip for new users: grab this early. Trust me. [link]"
5. Post Replies (Rate Limited)
Round 1: 4 replies Round 2: 4 replies (after 30+ min gap) Total: 8 max per post
Spacing: 3-5 seconds between replies within a round.
Safety Limits
| Metric | Limit |
|---|---|
| Replies per day | 8-10 max |
| Rounds per post | 2 |
| Replies per round | 4 |
| Gap between rounds | 30+ minutes |
| Gap between replies | 3-5 seconds |
Commands
# Full engagement run bird search "[keywords]" -n 15 bird reply <target-url> "message" # Check your recent posts bird user-tweets @YourHandle -n 5 # Monitor replies to your post bird replies <your-post-url>
Tracking
Log engagements to memory/x-engagement-log.md:
## [Date] - [Post Topic] Post: [url] Round 1: - @user1: [their topic] → [reply url] - @user2: [their topic] → [reply url] Round 2: - @user3: [their topic] → [reply url]
Example Run
Your post: "Your AI agent mid-task: 'What was I doing again?' We fixed this. session-continuity writes state BEFORE context fills."
Search queries:
- •
"agent forgets" OR "context lost" OR "mid-task amnesia" - •
"OpenClaw memory" OR "Clawdbot context" - •
"just installed OpenClaw" - •
@openclaw skill
Targets found:
- •@user complaining about manual context management
- •@user wanting to build memory agent
- •@user just installed OpenClaw
- •@user making OpenClaw tutorial
Replies posted: 4 contextual replies linking your post.
Notes
- •Quality > quantity. 4 great replies beat 10 generic ones.
- •Read their post carefully. Reference something specific.
- •Don't reply to the same person twice.
- •If rate limited, stop immediately and wait 24h.