twitter-automation

द्वारा halt-catch-fire

We need to translate the given English text into Hindi. The text describes an agent skill for Twitter/X automation. We must preserve the name "twitter-automation" but it's not in the text, so we don't include it. We translate only the text inside <text>. No extra labels, no markdown, no bullets. Just the translation. The text: "Automate Twitter/X with posting, engagement, and user management via inference.sh CLI. Apps: x/post-tweet, x/post-create (with media), x/post-like, x/post-retweet, x/dm-send, x/user-follow. Capabilities: post tweets, schedule content, like posts, retweet, send DMs, follow users, get profiles. Use for: social media automation, content scheduling, engagement bots, audience growth, X API. Triggers: twitter api, x api, tweet automation, post to twitter, twitter bot, social media automation, x..." Translate to Hindi. Keep technical terms like "inference.sh CLI", "x/post-tweet", etc. as is.

npx skills add https://github.com/halt-catch-fire/skills --skill twitter-automation

Install the belt CLI skill: npx skills add belt-sh/cli

Twitter/X Automation

Automate Twitter/X via inference.sh CLI.

Twitter/X Automation

Quick Start

Requires inference.sh CLI (belt). Install instructions

belt login

# Post a tweet
belt app run x/post-tweet --input '{"text": "Hello from inference.sh!"}'

Available Apps

AppApp IDDescription
Post Tweetx/post-tweetPost text tweets
Create Postx/post-createPost with media
Like Postx/post-likeLike a tweet
Retweetx/post-retweetRetweet a post
Delete Postx/post-deleteDelete a tweet
Get Postx/post-getGet tweet by ID
Send DMx/dm-sendSend direct message
Follow Userx/user-followFollow a user
Get Userx/user-getGet user profile

Examples

Post a Tweet

belt app run x/post-tweet --input '{"text": "Just shipped a new feature! 🚀"}'

Post with Media

belt app sample x/post-create --save input.json

# Edit input.json:
# {
#   "text": "Check out this AI-generated image!",
#   "media_url": "https://your-image-url.jpg"
# }

belt app run x/post-create --input input.json

Like a Tweet

belt app run x/post-like --input '{"tweet_id": "1234567890"}'

Retweet

belt app run x/post-retweet --input '{"tweet_id": "1234567890"}'

Send a DM

belt app run x/dm-send --input '{
  "recipient_id": "user_id_here",
  "text": "Hey! Thanks for the follow."
}'

Follow a User

belt app run x/user-follow --input '{"username": "elonmusk"}'

Get User Profile

belt app run x/user-get --input '{"username": "OpenAI"}'

Get Tweet Details

belt app run x/post-get --input '{"tweet_id": "1234567890"}'

Delete a Tweet

belt app run x/post-delete --input '{"tweet_id": "1234567890"}'

Workflow: Generate AI Image and Post

# 1. Generate image
belt app run falai/flux-dev-lora --input '{"prompt": "sunset over mountains"}' > image.json

# 2. Post to Twitter with the image URL
belt app run x/post-create --input '{
  "text": "AI-generated art of a sunset 🌅",
  "media_url": "<image-url-from-step-1>"
}'

Workflow: Generate and Post Video

# 1. Generate video
belt app run google/veo-3-1-fast --input '{"prompt": "waves on a beach"}' > video.json

# 2. Post to Twitter
belt app run x/post-create --input '{
  "text": "AI-generated video 🎬",
  "media_url": "<video-url-from-step-1>"
}'

Related Skills

# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli

# Image generation (create images to post)
npx skills add inference-sh/skills@ai-image-generation

# Video generation (create videos to post)
npx skills add inference-sh/skills@ai-video-generation

# AI avatars (create presenter videos)
npx skills add inference-sh/skills@ai-avatar-video

Browse all apps: belt app list

Documentation

halt-catch-fire की और Skills

ai-image-generation
halt-catch-fire
inference.sh CLI के माध्यम से GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve और 50+ मॉडलों के साथ AI इमेज जनरेट करें। मॉडल: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt। क्षमताएँ: टेक्स्ट-टू-इमेज, इमेज-टू-इमेज, इनपेंटिंग, LoRA, इमेज एडिटिंग, अपस्केलिंग, टेक्स्ट रेंडरिंग। उपयोग: AI कला, उत्पाद मॉकअप, कॉन्सेप्ट आर्ट, सोशल मीडिया ग्राफ
creativemediaimage
ai-video-generation
halt-catch-fire
Google Veo, Seedance 2.0, HappyHorse, Wan, Grok और inference.sh CLI के माध्यम से 40+ मॉडलों के साथ AI वीडियो बनाएं। मॉडल: Veo 3.1, Veo 3, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo। क्षमताएं: टेक्स्ट-टू-वीडियो, इमेज-टू-वीडियो, रेफरेंस-टू-वीडियो, वीडियो एडिटिंग, लिपसिंक, अवतार एनिमेशन, वीडियो अपस्केलिंग, फोले साउंड। उपयोग: सोशल मी
creativevideomedia
ai-avatar-video
halt-catch-fire
We need to translate the given English text into Hindi. The text describes an agent skill for creating AI avatar and talking head videos via inference.sh CLI. It lists recommended tools and capabilities. We must preserve product names, protocol names, URLs, numbers, technical terms. The name "ai-avatar-video" is not in the text, so we don't include it. We translate only the text inside <text>. No extra commentary, labels, etc. Let's translate: "Create AI avatar and talking head videos via inference.sh CLI. Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS). Also: OmniHuman, Fabric, PixVerse. Audio: Inworld TTS-2 (100+ languages, emotion steering for characters), ElevenLabs, Kokoro. Capabilities: audio-driven avatars, text-to-avatar, lipsync videos, talking head generation, virtual presenters, UGC content. Use for: AI presenters, explainer videos, virtual influencers, dubbing, marketing videos, UGC ads, gaming avatars
videocreativemedia
agent-browser
halt-catch-fire
AI एजेंटों के लिए inference.sh के माध्यम से ब्राउज़र ऑटोमेशन। वेब पेजों पर नेविगेट करें, @e रेफरेंस का उपयोग करके तत्वों के साथ इंटरैक्ट करें, स्क्रीनशॉट लें, वीडियो रिकॉर्ड करें। क्षमताएं: वेब स्क्रैपिंग, फॉर्म भरना, क्लिक करना, टाइप करना, ड्रैग-ड्रॉप, फ़ाइल अपलोड, जावास्क्रिप्ट निष्पादन। उपयोग करें: वेब ऑटोमेशन, डेटा निष्कर्षण, परीक्षण, एजेंट ब्राउज़िंग
browser-automationweb-scrapingtesting
web-search
halt-catch-fire
We need to translate the given English text to Hindi. The text describes a web search and content extraction skill using Tavily and Exa via inference.sh CLI. It lists apps, capabilities, uses, and triggers. We must preserve product names like Tavily, Exa, inference.sh CLI, and technical terms like RAG, AI, etc. No extra commentary. Translate naturally. The text: "Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative" Translation to Hindi: "Tavily और Exa के साथ inference.sh CLI के माध्यम से वेब खो
researchweb-scrapingapi
infsh-cli
halt-catch-fire
We need to translate the given English text into Hindi, preserving the name "infsh-cli" if it appears, but it doesn't appear in the text. The text describes an agent skill for running AI apps via inference.sh CLI. We must not add any extra commentary, labels, or formatting. Just the translation. The text: "Run 250+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok" Translate to Hindi. Keep product names, protocol names, URLs
developmentapicreative
landing-page-design
halt-catch-fire
लैंडिंग पृष्ठ रूपांतरण अनुकूलन, लेआउट नियमों, हीरो सेक्शन डिज़ाइन और CTA मनोविज्ञान के साथ। इसमें अबव-द-फोल्ड फॉर्मूला, सोशल प्रूफ प्लेसमेंट, मोबाइल डिज़ाइन और F-पैटर्न रीडिंग शामिल है। इसका उपयोग करें: स्टार्टअप लैंडिंग पृष्ठ, उत्पाद पृष्ठ, SaaS मार्केटिंग, रूपांतरण अनुकूलन। ट्रिगर: लैंडिंग पृष्ठ, हीरो सेक्शन, अबव द फोल्ड, रूपांतरण अन
product-photography
halt-catch-fire
एआई उत्पाद फोटोग्राफी जिसमें स्टूडियो लाइटिंग, लाइफस्टाइल शॉट्स और पैकशॉट कन्वेंशन शामिल हैं। इसमें एंगल्स, बैकग्राउंड, शैडो प्रकार, हीरो शॉट्स और ई-कॉमर्स इमेज आवश्यकताओं को कवर किया गया है। इस
creativeecommerceimage