x-engagement
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.
Best use case
x-engagement is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using x-engagement should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/x-engagement/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How x-engagement Compares
| Feature / Agent | x-engagement | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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: ```bash # 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 ```bash # 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`: ```markdown ## [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.
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