tools/social/twitter-automation/SKILL.md
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 automation, tweet scheduler, twitter integration, post tweet, twitter post, x post, send tweet
npx skillsauth add inference-sh/agent-skills twitter-automationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Automate Twitter/X via inference.sh CLI.

Requires inference.sh CLI (
belt). Install instructions
belt login
# Post a tweet
belt app run x/post-tweet --input '{"text": "Hello from inference.sh!"}'
| App | App ID | Description |
|-----|--------|-------------|
| Post Tweet | x/post-tweet | Post text tweets |
| Create Post | x/post-create | Post with media |
| Like Post | x/post-like | Like a tweet |
| Retweet | x/post-retweet | Retweet a post |
| Delete Post | x/post-delete | Delete a tweet |
| Get Post | x/post-get | Get tweet by ID |
| Send DM | x/dm-send | Send direct message |
| Follow User | x/user-follow | Follow a user |
| Get User | x/user-get | Get user profile |
belt app run x/post-tweet --input '{"text": "Just shipped a new feature! 🚀"}'
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
belt app run x/post-like --input '{"tweet_id": "1234567890"}'
belt app run x/post-retweet --input '{"tweet_id": "1234567890"}'
belt app run x/dm-send --input '{
"recipient_id": "user_id_here",
"text": "Hey! Thanks for the follow."
}'
belt app run x/user-follow --input '{"username": "elonmusk"}'
belt app run x/user-get --input '{"username": "OpenAI"}'
belt app run x/post-get --input '{"tweet_id": "1234567890"}'
belt app run x/post-delete --input '{"tweet_id": "1234567890"}'
# 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>"
}'
# 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>"
}'
# Full platform skill (all 250+ 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
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Render videos from React/Remotion component code via inference.sh. Pass TSX code, get MP4. Supports all Remotion APIs: useCurrentFrame, useVideoConfig, spring, interpolate, AbsoluteFill, Sequence. Configurable resolution, FPS, duration, codec. Use for: programmatic video generation, animated graphics, motion design, data-driven videos, React animations to video. Triggers: remotion, render video from code, tsx to video, react video, programmatic video, remotion render, code to video, animated video, motion graphics code, react animation video
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Generate videos with Pruna P-Video and WAN models via inference.sh CLI. Models: P-Video, WAN-T2V, WAN-I2V. Capabilities: text-to-video, image-to-video, audio support, 720p/1080p, fast inference. Pruna optimizes models for speed without quality loss. Triggers: pruna video, p-video, pruna ai video, fast video generation, optimized video, wan t2v, wan i2v, economic video generation, cheap video generation, pruna text to video, pruna image to video
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Still-to-video conversion guide: model selection, motion prompting, and camera movement. Covers Wan 2.5 i2v, Seedance, Fabric, Grok Video with when to use each. Use for: animating images, creating video from stills, adding motion, product animations. Triggers: image to video, i2v, animate image, still to video, add motion to image, image animation, photo to video, animate still, wan i2v, image2video, bring image to life, animate photo, motion from image
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Generate videos with Google Veo models via inference.sh CLI. Models: Veo 3.1, Veo 3.1 Fast, Veo 3, Veo 3 Fast, Veo 2. Capabilities: text-to-video, cinematic output, high quality video generation. Triggers: veo, google veo, veo 3, veo 2, veo 3.1, vertex ai video, google video generation, google video ai, veo model, veo video