Agent skill · Media & Video

fal-upscale

Upscale and enhance image and video resolution using AI

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill fal-upscale --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Path: skills/fal-upscale/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Fal Upscale ## Overview Upscale and enhance image and video resolution using AI ## When to Use This Skill Use this skill when you need to work with upscale and enhance image and video resolution using ai. ## Instructions This skill provides guidance and patterns for upscale and enhance image and video resolution using ai. For more information, see the [source repository](https://github.com/fal-ai-community/skills/blob/main/skills/claude.ai/fal-upscale/SKILL.md). ## Limitations - Use this skill only when the task clearly matches the scope described above. - Do not treat the output as a substitute for environment-specific validation, testing, or expert review. - Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Instructions
  4. Limitations
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About this skill
What does the fal-upscale skill do?

Upscale and enhance image and video resolution using AI

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill fal-upscale --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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