About fal-upscale
fal-upscale is a skill for tasks that upscale and enhance image or video resolution with AI. It guides users through specifying the operation and checking returned output; it does not bundle an upscaler or runtime.
Key features
- 01Clarify dimensions and scaling factor
- 02Check input and output constraints
- 03Track job identity and status
- 04Compare results with the source
- 05Preserve the original media
Use cases
- 01Prepare an image for a larger display
- 02Increase video resolution
- 03Review whether returned media preserves subject details
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ sickn33/ agentic-awesome-skills --skill fal-upscaleAfter installing, type/fal-upscalein Claude Code to confirm it loaded.
Details
From the project READMEFal 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.
Procedure
Inspect the actual source image/video and resolve desired dimensions, scaling factor, output format, preservation constraints and budget. Use an available integration's verified input schema; no upscaler/runtime is bundled and the historical upstream path is absent from the current source tree. Confirm upload authorization and avoid exposing private media or inventing a supported model.
Submit only the requested operation; record job identity and actual status. Compare returned dimensions, artifacts and subject/detail preservation against the source. Keep the original unchanged and deliver the actual returned file. Increased pixel count does not prove recovered real detail; generated enhancement can alter content. If execution is unavailable, return the job specification with that limitation.
Example
User request:
Use @fal-upscale for this task: Upscale and enhance image and video resolution using AI.
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.