Catalogskills.sh · postplusai

frame-extraction

Extract useful frames from local video files based on task intent, such as persona research, shot breakdown, product visibility, UI walkthroughs, visual-style review, or CTA/compliance checks. Use this when the goal is not generic video analysis, but selecting the right still frames and contact sheets for a specific downstream need.

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Security analysis or source-hub review identified patterns requiring attention.

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Security assessment

Risk score
0/100
Recommendation
SAFE
Severity
LOW
Savant decision
Passed
The security assessment rated this package safe. Static security analysis completed.

0 patterns found

Structure

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  • The source hub's security checks flagged this skillSnyk: warn (Risk: MEDIUM · 1 issue)

SKILL.md

---
name: frame-extraction
description: Extract useful frames from local video files based on task intent, such as persona research, shot breakdown, product visibility, UI walkthroughs, visual-style review, or CTA/compliance checks. Use this when the goal is not generic video analysis, but selecting the right still frames and contact sheets for a specific downstream need.
metadata:
  postplus:
    familyId: media-production
    familyName: Media and Creative Production
---

# Frame Extraction

## Use When
- The user needs selected still frames, a contact sheet, or a review pack from
  local video files for persona, product, UI, hook, CTA, before/after, or shot
  structure work.
- Use `video-analysis` before or alongside this skill when shot-level
  understanding already exists or would materially improve frame selection.

## Do Not Use When
- The task belongs to ideation, QA, or another released skill listed in the handoff section.
- Required inputs are missing and guessing would change the result.

## Selection Boundary
- Do not default to uniform sampling. Choose the smallest extraction mode that
  matches the task intent.
- Good mode defaults: persona/vibe `face-priority`, shot/structure
  `scene-change`, product visibility `object-priority`, UI/text
  `text-ui-priority`, hook `hook-first`, CTA/compliance `cta-last`, broad scan
  `uniform-sample`.
- Scope should be explicit: first 3-5 seconds, final 3-5 seconds, full video, or
  a requested timestamp range.

## Source And Path
- Inputs can be one local video, a folder, or a manifest mapping source ids to
  local files. If only URLs are available, recover/download local files first.
- Preserve source video, timestamp, extraction mode, selection reason, and
  source basis in the frame manifest.
- Keep internal extraction requests, plan outputs, contact-sheet inputs, and
  intermediate manifests under `.postplus`; keep final frames/contact sheets in
  the user-facing output folder.

## Review And Handoff
- Package outputs for the downstream job: persona frames plus contact sheet and
  vibe notes, shot frames plus timestamp list, product-visible frames plus proof
  notes, or UI frames plus readable text notes.
- For long videos, start with the bounded first pass, then expand only after the
  first manifest proves the mode is useful.
- Return final frame folders, contact sheets, and frame manifest paths.

## Stop Conditions
- Stop when required user intent, source evidence, or owned input artifacts are
  missing and guessing would change the result.
- If an owned CLI or script command fails, report the exact error and stop. Do
  not bypass the failure with metadata-only answers, readiness probing, local
  payload rewrites, fallback providers, or unpublished tools.

## Public Command Boundary

- Choose the smallest matching command or workflow from the user input and run
  it directly.
- If an owned CLI or script command fails, report the exact error and stop. Do
  not bypass the failure with metadata-only answers, readiness probing, local
  payload rewrites, fallback providers, or unpublished tools.