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Ai Social Media Content

Checked
inference-sh·vlatest·video-media

Analyzes social media videos to identify trends, sentiment, and potential audience engagement opportunities.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add inference-sh/skills --skill ai-social-media-content -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

inference-sh

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned inference-sh/skills at c2d5678f14.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
c2d5678f14
Manifest
guides/social/ai-social-media-content/SKILL.md
Scanned
1 file, 225 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to generate social media content for various platforms using the inference.sh CLI. It leverages models like Google's Veo and Falai Flux-Dev to create videos, images, and thumbnails tailored to specific platform requirements. The tool facilitates creating trending TikTok/Reels style videos, cohesive Instagram carousel images, eye-catching YouTube thumbnails, and visuals for Twitter/X.

When to use it

  • Creating TikTok or Reels content: Generate short, engaging vertical videos with a viral aesthetic.
  • Developing Instagram carousels: Produce a series of visually consistent images for an Instagram post.
  • Designing YouTube thumbnails: Create attention-grabbing thumbnails to improve click-through rates.
  • Generating visuals for Twitter/X: Produce content suitable for the platform's various aspect ratios and video lengths.
  • Rapid prototyping social media assets: Quickly experiment with different visual styles and concepts before committing to final designs.

Key capabilities

  • Generates videos in TikTok/Reels style using google/veo-3-1-fast.
  • Creates cohesive image carousels for Instagram using falai/flux-dev.
  • Designs eye-catching YouTube thumbnails using falai/flux-dev.
  • Produces visuals suitable for Twitter/X.
  • Supports various aspect ratios and resolutions optimized for different platforms (9:16, 1:1, 4:5, 16:9).

Example prompts

  • infsh app run google/veo-3-1-fast --input '{ "prompt": "POV walking through a neon-lit Tokyo street at night, vertical format 9:16, cinematic" }'
  • infsh app run falai/flux-dev --input "{ \"prompt\": \"Minimalist lifestyle flat lay photo 1/5, morning coffee routine, neutral tones, Instagram aesthetic, consistent style\" }" > "carousel_1.json"
  • infsh app run falai/flux-dev --input '{ "prompt": "YouTube thumbnail, shocked face emoji, bright yellow background, bold text area on right, attention-grabbing, high contrast, professional" }'

Tips & gotchas

  • Requires the inference.sh CLI to be installed and configured (infsh login).
  • The quality of generated content depends heavily on the prompt provided. Experiment with different prompts to achieve desired results.
  • Consider platform-specific guidelines for video length, resolution, and aspect ratio when crafting your prompts.