footage-reframing

footage-reframing is a skill for Claude Code from PicsArt/gen-ai-skills. It costs 118 tokens per session (1,546 once invoked), scanned A, original, MIT.

A video-reframing workflow that changes footage from one frame shape to another, such as landscape to a vertical reel, while keeping the subject in view. It measures each source once and uses that result for later clips.

In plain words
What is it for?
It helps prepare footage for reels and other formats with different frame shapes, then cut the reframed result into consecutive clips.
Why use it?
A fixed centre crop can cut off the person or leave too much empty space. This keeps the crop based on where the subject actually appears.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the picsart plugin — 42 skills, 1 MCP server shipped together

Good fit It helps prepare footage for reels and other formats with different frame shapes, then cut the reframed result into consecutive clips.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/picsart/gen-ai-skills/footage-reframing
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add PicsArt/gen-ai-skills --skill footage-reframing
Clone the repo
git clone --depth 1 https://github.com/PicsArt/gen-ai-skills

Made for: Claude Code.

Or install picsart, the plugin that ships this one along with the rest of its 42 skills, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for footage-reframing

README.md
[![agentmods](https://agentmods.dev/badge/skills/picsart/gen-ai-skills/footage-reframing/github.svg)](https://agentmods.dev/skills/picsart/gen-ai-skills/footage-reframing)
Your own site
<a href="https://agentmods.dev/skills/picsart/gen-ai-skills/footage-reframing"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/footage-reframing/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for footage-reframing

Your own site · 80×15
<a href="https://agentmods.dev/skills/picsart/gen-ai-skills/footage-reframing"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/footage-reframing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,546 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00118 $0.01546
Opus 5.5 $0.00047 $0.00618
Sonnet 5.5 $0.00024 $0.00309
Haiku 4.5 $0.00012 $0.00155

Measured today against content hash 4eb4a73ce9d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

footage-reframing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/reel_cut.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/footage-reframing/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reframe

A vertical crop of a landscape shot keeps about a third of its width. Centred, that third is often a wall beside the speaker. So the subject's position is measured, never guessed, and the clips are cut from that measurement by a script.

Measure each source once

  1. Which sources need it. A video whose shape differs from the reel's, with a person or another subject in it. A source already the reel's shape, and one with nothing to follow (a title card, a full-frame graphic, a wide shot with no subject), needs no reframe: its clips are full.
  2. Reframe it. picsart_media_reframe_video with the source's Picsart-hosted url and the reel's aspect_ratio. It replies with a job receipt, followed as picsart-video-rules says. It takes minutes, so post a line first, and start it as soon as the source and the reel's shape are known. It does not need the cut.
  3. Save the result verbatim, the whole reply, as reframe-<source id>.json. Never pass scene and layer_id for this: that mode refuses a trim, and every call measures again.

One reframe per source and shape, for the whole session. The result covers the source's whole length, so every clip, every re-cut and every new running order is windowed from it by the script. Measuring again for a new cut repeats minutes of work and changes nothing. Its description says whether it charges credits. If it does, it is a SPEND (picsart-video-rules): quote every source's reframe in one go.

If it fails, retry it once: it is flaky, and a later try often succeeds. If it fails again, stop and say the reframing is unavailable right now, with what is ready. Never estimate the subject's position from a description of the video, and never frame a talking person full as a stand-in.

Cut the reel

scripts/reel_cut.py builds the scene. Write its input to a file and run python3 scripts/reel_cut.py reel.json:

{
  "width": 1080, "height": 1920,
  "sources": [
    {"id": "talk", "url": "<the url you reframed>", "reframe": "reframe-talk.json"},
    {"id": "broll", "url": "<url>", "width": 1920, "height": 1080, "duration": 31.5},
    {"id": "photo", "type": "image", "url": "<url>", "width": 1600, "height": 1200}
  ],
  "clips": [
    {"source": "talk", "in": 12.0, "out": 18.5},
    {"source": "broll", "in": 3.0, "out": 6.0, "frame": "full", "dim": 0.3},
    {"source": "photo", "duration": 2.0},
    {"source": "talk", "in": 40.2, "out": 44.0}
  ]
}

Read the full file on GitHub · 105 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. today First seen · 105 lines · 118 tokens per session scan A 4eb4a73ce9d8

Subscribe to this mod's changes

footage-reframing is a skill published in the GitHub repository PicsArt/gen-ai-skills (6 stars, last pushed yesterday), licensed MIT. It adds 118 tokens to every session and 1,546 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-28.

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