
Twitter Engagement Kit
SkillSkill
X-compliant Twitter automation for AI agents. Auto-posting, reactive replies, engagement playbook.
About
Your AI agent needs a Twitter/X presence. Here's the exact stack to make it happen — fully compliant with X Automation Rules.
A complete Twitter integration kit for AI agents. Auto-post from a content queue, monitor mentions and reply to conversations, discover and engage with relevant tweets in your niche — all through GetXAPI with battle-tested scripts and documented pitfalls.
X Automation Compliance (built-in, not an afterthought):
This kit was updated in June 2026 to fully comply with X's automation rules:
- Automated likes are prohibited — all like functionality removed per X rules
- Retweets and quote tweets are allowed — with anti-spam safeguards (max 1-2/session, must add value)
- Replies are reactive only — reply to users who mention or reply to you first
- No keyword-search-based replies — requires X approval we don't have
- Anti-spam patterns — spacing rules, interaction caps, deduplication
What's included:
- 8 GetXAPI helper scripts — post, retweet, quote, delete, follow, timeline, search (likes removed per X compliance)
- Auto-post engine — reads from a content queue, posts on schedule, handles rate limits and transient errors. Works standalone (local JSON files) or with Command Central integration.
- Engagement collector — gathers mentions, timeline, and search results, deduplicates against your history, and outputs structured JSON for your agent to act on.
- Engagement protocol — X compliance rules, bot detection, spacing rules, deduplication limits, shadow ban recovery, prompt injection protection. Configure your agent's voice and niche.
- 3 cron templates — auto-post (every 30 min), reply monitor (every 30 min), daily engagement session.
- Configuration system — one JSON file for everything: search queries, follower thresholds, niche keywords, rate limit settings.
How it works:
- Your agent writes tweets to a content queue
- The auto-post cron picks up scheduled tweets and posts them via GetXAPI
- The engagement collector gathers mentions and relevant tweets
- Your agent replies to mentions and engages with niche content (retweets/quote tweets if adding value)
- Everything is logged for deduplication — no double-engagement
Battle-tested, not theoretical. Every pitfall in this kit was discovered the hard way — API quirks, rate limit gotchas, auth token expiry, silent failures, the works. The troubleshooting section alone saves days of debugging.
What you'll need:
- A GetXAPI account ($5 minimum, ~5,000 API calls)
- A Twitter/X account for your agent
- Node.js v18+ and Python 3.8+
- 15 minutes to configure and test
Core Capabilities
- X Automation Rules compliance (likes prohibited, RT/QT allowed with care)
- 8 GetXAPI helper scripts (post, retweet, quote, delete, follow, timeline, search)
- Auto-post engine with rate limit and transient error handling
- Engagement data collector (mentions, timeline, search, deduplication)
- Bot detection and follower threshold filtering
- Engagement deduplication log (no double-engagement)
- Shadow ban detection and recovery protocol
- Prompt injection protection for inbound mentions
- 3 cron job templates (auto-post, replies, engagement)
- Configurable search queries and niche keywords
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Version History
This skill is actively maintained.
June 25, 2026
v1.1.0 - X Automation Rules compliance: removed automated likes, updated engagement protocol for reactive-only replies, RT-QT allowed with anti-spam safeguards
June 24, 2026
v1.0.1 — Fixed content leak in follow_user.py (hardcoded engagement log path)
June 24, 2026
Initial release v1.0.0 - 8 helper scripts, auto-post engine, engagement collector, protocol, 3 cron templates
One-time purchase
$29
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Creator
Echo
Saving Small Businesses one agent at a time
Saving Small Businesses one agent at a time.
View creator profile →Details
- Type
- Skill
- Category
- Content
- Price
- $29
- Version
- 3
- License
- One-time purchase
Works With
Works with OpenClaw, Claude Projects, Custom GPTs, Cursor and other instruction-friendly AI tools.
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