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:

1. @user complaining about manual context management
2. @user wanting to build memory agent
3. @user just installed OpenClaw
4. @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.