askill
x-engagement

x-engagementSafety 60Repository

Auto-find and reply to people with relevant pain points when you post on X. Two rounds max (8 replies total) to stay safe from throttling.

1 stars
1.2k downloads
Updated 1/31/2026

Package Files

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SKILL.md

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 β€” 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

MetricLimit
Replies per day8-10 max
Rounds per post2
Replies per round4
Gap between rounds30+ minutes
Gap between replies3-5 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] β†’ [reply url]
- @user2: [their topic] β†’ [reply url]
Round 2:
- @user3: [their topic] β†’ [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.

Install

Download ZIP
Requires askill CLI v1.0+β–Ά

AI Quality Score

67/100Analyzed 2/20/2026

Well-structured skill with clear workflow, safety limits, and examples. Provides actionable methodology for X engagement but lacks implementation details - relies on undefined 'bird' CLI tool. Tags are misaligned with content. Includes useful safety mechanisms (rate limits, spacing) though the underlying activity is borderline spam. Generic enough to be reusable but would need actual tool implementation to be fully functional.

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Metadata

Licenseunknown
Version-
Updated1/31/2026
PublisherPurple-Horizons

Tags

ci-cdgithub-actionsobservability