aisa-twitter-post-engage
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★ 494% 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.
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- aisa-tavilySkill
- aisa-twitter-apiSkill
- aisa-twitter-command-centerSkill
- aisa-twitter-engagement-suiteSkill
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- cn-llmSkill
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- 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
- x-intelligence-automationSkill
- youtube-searchSkill
- youtube-serpSkill
- youtubeSkill
The file
We split this skill into the rules it gives an agent
8 rules. About 0 are common, 5 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
3
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.
- Very specific: line 47
All network calls go to https://api.aisa.one/apis/v1/....
- Distinctive: line 51
Read user, tweet, trend, list, community, and Spaces data.
- Very specific: line 67
Use references/post_twitter.md for post, reply, quote, and media-upload actions.
- Very specific: line 68
Use references/engage_twitter.md for likes, unlikes, follows, and unfollows.
- Distinctive: line 73
Do not ask for passwords, browser cookies, or undocumented secrets.
- Distinctive: line 74
Do not guess target accounts or tweet IDs when multiple candidates exist.
- Distinctive: line 75
Do not claim engagement or posting succeeded unless the relay request returns success.
≈ “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
AIsa Twitter Post Engage
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"All network calls go to https://api.aisa.one/apis/v1/....
Capabilities
- Read user, tweet, trend, list, community, and Spaces data.
- Publish text, image, and video posts after explicit OAuth approval.
- Like, unlike, follow, and unfollow through the engagement client once authorization exists.
Common Commands
python3 scripts/twitter_client.py search --query "AI agents" --type Latest
python3 scripts/twitter_oauth_client.py authorize
python3 scripts/twitter_oauth_client.py post --text "Hello from AIsa"
python3 scripts/twitter_engagement_client.py like-latest --user "@elonmusk"
python3 scripts/twitter_engagement_client.py follow-user --user "@elonmusk"Workflow
- Use
references/post_twitter.mdfor post, reply, quote, and media-upload actions. - Use
references/engage_twitter.mdfor likes, unlikes, follows, and unfollows. - Obtain OAuth authorization before any write action.
Guardrails
- Do not ask for passwords, browser cookies, or undocumented secrets.
- Do not guess target accounts or tweet IDs when multiple candidates exist.
- Do not claim engagement or posting succeeded unless the relay request returns success.
Does it work?
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No reviews yet
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- 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.

