x-intelligence-automation
Skill0 starsChanged 7 months agoMITView on GitHub
Search X/Twitter profiles, tweets, trends, and approved engagement actions through the AIsa relay. Use when the user asks for Twitter/X research, posting, likes, follows, or related workflows without sharing passwords.
- Reads credentials
1 other project uses a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- AISA-skills/social-media-skillsedited, first seen Jul 27, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 1
- AISA-skills/social-media-skills★ 493% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository59 other files it gives its agents.
- aisa-multi-search-engineSkill
- aisa-providerSkill
- aisa-tavilySkill
- aisa-twitter-apiSkill
- aisa-twitter-command-centerSkill
- aisa-twitter-engagement-suiteSkill
- aisa-twitter-post-engageSkill
- aisa-youtube-searchSkill
- aisa-youtube-serp-scoutSkill
- cn-llmSkill
- crypto-market-dataSkill
- gmail-lead-deskSkill
- kol-creator-discoverySkill
- last30daysSkill
- last30days-zhSkill
- llm-routerSkill
- marketpulseSkill
- marketSkill
- media-genSkill
- multi-searchSkill
- multi-source-searchSkill
- notion-workspaceSkill
- openclaw-aisa-youtube-aisaSkill
- openclaw-media-genSkill
- openclaw-searchSkill
- openclaw-twitter-post-engageSkill
- openclaw-twitterSkill
- openclaw-youtubeSkill
- perplexity-researchSkill
- perplexity-searchSkill
- prediction-market-arbitrage-apiSkill
- prediction-market-arbitrageSkill
- prediction-market-arbitrage-zhSkill
- prediction-market-dataSkill
- prediction-market-data-zhSkill
- prediction-marketSkill
- saas-gatewaySkill
- scholar-searchSkill
- searchSkill
- seo-keyword-researchSkill
- smart-searchSkill
- stock-analysisSkill
- stock-dividendSkill
- stock-hotSkill
- stock-portfolioSkill
- stock-rumorsSkill
- stock-watchlistSkill
- tavily-extractSkill
- tavily-searchSkill
- trend-forecastSkill
- twitter-autopilotSkill
- twitter-command-center-search-post-interactSkill
- twitter-command-center-search-postSkill
- twitterSkill
- us-stock-analystSkill
- web-searchSkill
- youtube-searchSkill
- youtube-serpSkill
- youtubeSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 19
Search X/Twitter profiles, tweets, trends, and approved engagement actions through the AIsa relay.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
X Intelligence Automation
Search X/Twitter profiles, tweets, trends, and approved engagement actions through the AIsa relay.
When to use
- The user wants Twitter/X research plus posting, liking, unliking, following, or unfollowing workflows.
- The task can use a Python client with
AISA_API_KEYand explicit OAuth approval. - The workflow needs a single package that covers read, post, and engagement actions.
When NOT to use
- The user needs cookie extraction, password login, or a fully local Twitter client.
- The workflow must avoid relay-based network calls or media upload through
api.aisa.one. - The task needs undocumented secrets or browser-derived auth values.
Quick Reference
- Required environment variable:
AISA_API_KEY - Read client:
scripts/twitter_client.py - Post client:
scripts/twitter_oauth_client.py - Engage client:
scripts/twitter_engagement_client.py - References:
references/post_twitter.md,references/engage_twitter.md
Setup
export AISA_API_KEY="your-key"Common Commands
python3 scripts/twitter_client.py search --query "AI agents" --type Latest
python3 scripts/twitter_oauth_client.py authorize
python3 scripts/twitter_engagement_client.py follow-user --user "@elonmusk"Capabilities
- Research Twitter/X accounts, tweets, trends, lists, communities, and Spaces.
- Publish text, image, and video posts after explicit OAuth approval.
- Like, unlike, follow, and unfollow after authorization exists.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

