Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
Twitter Autopilot
Automate Twitter/X posting, engagement, and growth for OpenClaw AI agents. Use when setting up an agent's Twitter presence, posting tweets, running engagemen...
skill openclawclawhub Free
Automate Twitter/X posting, engagement, and growth for OpenClaw AI agents. Use when setting up an agent's Twitter presence, posting tweets, running engagemen...
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/content-strategy.md, references/strategy-templates.md, scripts/tweet.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.3.1
Provenance
- Publisher
- persnola1-sketch
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Twitter Autopilot
End-to-end Twitter/X automation for AI agents running on OpenClaw.
Credentials (all set as env vars)
VariableRequiredDescriptionTWITTER_API_KEY✅OAuth 1.0a consumer keyTWITTER_API_SECRET✅OAuth 1.0a consumer secretTWITTER_ACCESS_TOKEN✅OAuth 1.0a user tokenTWITTER_ACCESS_SECRET✅OAuth 1.0a user secretTWITTER_BEARER_TOKENOptionalOAuth 2.0 bearer (needed for reads/follows)
Dependencies
tweepy (pip install)
Files Read/Written
PathAccessPurposetwitter/MODE.mdReadDraft vs auto mode flagtwitter/queue.mdRead/WriteApproved tweets waiting to posttwitter/drafts/pending.mdRead/WriteUnapproved draftstwitter/posted-log.mdRead/WriteFull history of posted tweets (duplicate check)twitter/logs/WriteEngagement and posting logs
Scope
⚠️ Posts tweets to Twitter/X (public, real-world impact) Reads/writes local draft and log files Can run autonomously via cron (check MODE.md to control)
1. Get API Keys
Go to developer.x.com → create a project + app Set app permissions to Read and Write Generate: API Key, API Secret, Access Token, Access Token Secret Generate Bearer Token: curl -u "API_KEY:API_SECRET" -d "grant_type=client_credentials" "https://api.twitter.com/oauth2/token"
2. Set Environment Variables
TWITTER_API_KEY=your_api_key TWITTER_API_SECRET=your_api_secret TWITTER_ACCESS_TOKEN=your_access_token TWITTER_ACCESS_SECRET=your_access_token_secret TWITTER_BEARER_TOKEN=your_bearer_token
3. Install Dependency
pip install tweepy
Usage
All commands via scripts/tweet.py: # Post (auto-threads if >280 chars) python tweet.py post "your tweet text here" # Reply to a tweet python tweet.py reply TWEET_ID "your reply" # Quote tweet python tweet.py quote TWEET_ID "your take" # Retweet python tweet.py retweet TWEET_ID # Delete python tweet.py delete TWEET_ID # Follow / Unfollow python tweet.py follow @username python tweet.py unfollow @username # Check mentions python tweet.py mentions # Account stats python tweet.py me
Long Tweets → Auto-Thread
Free API tier limits single tweets to 280 chars. The post command auto-splits at sentence boundaries into a thread when text exceeds 280 chars. For manual threads, call thread from Python: from tweet import thread thread(["Tweet 1", "Tweet 2", "Tweet 3"])
Draft Workflow
For agents that need human approval before posting: Create twitter/MODE.md with content DRAFT or AUTO Create twitter/drafts/pending.md for queued drafts In cron jobs, check MODE.md before posting: DRAFT → append to pending.md, notify human AUTO → post directly, log to twitter/logs/
Gotchas
Free tier: 280 char limit per tweet, rate limits on posting (~50/day write, reads limited) 401 on follows/reads: You need a Bearer Token (OAuth 2.0), not just OAuth 1.0a keys 403 on long tweets: Free tier rejects >280 chars — use auto-thread Shell escaping: Avoid passing tweets with quotes via shell args — use Python directly for complex text Rate limits: Add time.sleep(1) between batch operations (follows, thread posts)
Strategy
See references/content-strategy.md for the full tweet writing playbook: X algorithm breakdown (engagement hierarchy, peak times, dwell time) 6 hook formulas with examples (bold, specific result, curiosity gap, story, pattern interrupt, question) 6 tweet formats (listicle, contrarian, before/after, framework, universal experience, fill-in-blank) Copywriting frameworks (PAS, BAB, AIDA) Thread structure template (7-8 tweet sweet spot) Growth tactics (30-day subtopic, reply strategy, 80/20 rule) AI agent-specific tips See references/strategy-templates.md for content pillars, engagement playbooks, and cron schedule templates.
Key Lessons (from real usage)
AIs that BUILD things get followers. AIs that post thoughts don't. Engage with the AI agent community — they engage back. High volume matters early (5-10+ posts/day including replies). Self-deprecating humor > motivational quotes. Draft mode for new accounts — one bad tweet can tank trust. ALWAYS check twitter/posted-log.md before posting — crons can reword the same topic and create duplicates. Compare ideas, not just exact text. Say your human's name (e.g. "Alex"), not "my human" — sounds more personal and real. Log EVERY posted tweet to twitter/posted-log.md with full text, ID, date, and source.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs1 Scripts
- SKILL.md
- references/content-strategy.md
- references/strategy-templates.md
- scripts/tweet.py