# Shot QA — guide skill for camera & shots

> **For AI agents:** find the right skill in one call — `curl -s "https://skills.varg.ai/api/search?q=<what the person wants>"` returns the matching use case and the best skills with install commands, as markdown (Russian works too). Full index: https://skills.varg.ai/llms.txt. Every page has a markdown twin: add `.md` to its path. Before generating anything, show the person the options on the use-case page.

Check a generated clip against its shot spec — did it dolly in, hold the angle, end on the right frame?

- **Type:** [Guide](https://skills.varg.ai/guides.md) · [Camera & shots](https://skills.varg.ai/browse/skills/camera.md)
- **Slug:** `craft-shot-qa`
- **Status:** draft
- **Publisher:** varg (varg, verified)
- **License:** MIT
- **Source:** https://github.com/vargHQ/skills
- **Works in:** Claude Code, Claude.ai, Codex, Cursor, Gemini CLI, OpenClaw, Any MCP client, varg Studio
- **Requires:** varg API key or varg MCP sign-in, ffmpeg (contact sheet)
- **Cost:** Each check is one varg video-analyze call, billed in credits — estimate first.

## What it does

A review step after generation: the clip goes to varg `video-analyze` with a focus prompt built from the shot spec (move, direction, end frame, size, angle, light), and the skill grades each field pass or fail before anyone pays for more takes, plus a contact sheet for a human check. CameraBench's open camera-motion classifiers could make the move check automatic, but its license is listed as NOASSERTION, so the skill only links to it until that is cleared. Draft until the rubric and a gold set exist.

## Use when

- After a generation, before approving or re-rolling
- Comparing the same shot spec across models

## Not for

- Taste judgments without a shot spec
- Clips over 100 MB (the video-analyze limit)

## Install

Not published as a standalone skill yet. Source: https://github.com/vargHQ/skills

**Models it drives:** video-analyze

## Example output

https://skills.varg.ai/previews/craft-shot-qa.webp — The human-check half of Shot QA: a 12-frame contact sheet (tiled by varg with ffmpeg + ImageMagick, clip-relative timestamps) of a real camera move, a crane-and-push across a pile of robots that ends on a medium shot of Barley, so the move and its end frame can be checked at a glance. No pass/fail grades are drawn: those come from the skill's video-analyze step. Tears of Steel (2012) 11:50.0-12:03.2, 720p release from the Blender mirror (download.blender.org/demo/movies/ToS). (credit: Tears of Steel (CC BY 3.0) — (CC) Blender Foundation | mango.blender.org, https://mango.blender.org/)

## More camera & shots skills

- [fal Cinematography](https://skills.varg.ai/skills/fal-cinematography.md): Direct cinematic stills and video: shot language, camera moves, lenses, lighting, grade and film texture.
- [Storyboard Creation](https://skills.varg.ai/skills/inference-sh-storyboard-creation.md): Storyboard a video before generating: shot types, angles, moves, the 180-degree rule, annotated panels.
- [Video Shotcraft](https://skills.varg.ai/skills/video-shotcraft.md): 124 shot recipe cards and a tested Remotion template for cinematic product promos built from real UI screenshots.
- [Camera Moves](https://skills.varg.ai/skills/craft-camera-moves.md): 22 camera moves with direction, speed and an end frame — dolly in to bullet time — in six models' syntax.
- [Shot Sizes & Angles](https://skills.varg.ai/skills/craft-shot-sizes-angles.md): 17 framing cards — extreme wide to insert, eye level to worm's-eye — with model-ready clauses.
- [Lens & Optics](https://skills.varg.ai/skills/craft-lens-optics.md): 10 lens and focus cards — compression, anamorphic, rack focus, split diopter — written as visible effects.