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.
- Installs
- 968
- Last 24h
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- Trending rank
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- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/postplusai/postplus-skills --skill frame-extraction- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads frame-extraction automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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-analysisbefore 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/structurescene-change, product visibilityobject-priority, UI/texttext-ui-priority, hookhook-first, CTA/compliancecta-last, broad scanuniform-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.
FAQ
What does the frame-extraction skill do?
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.
How do I install frame-extraction?
Run npx skills add https://github.com/postplusai/postplus-skills --skill frame-extraction in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/frame-extraction/ (personal) or .claude/skills/frame-extraction/ (project).
Which AI agents can use frame-extraction?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is frame-extraction safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains frame-extraction?
It is published by postplusai in postplusai/postplus-skills. It has 968 recorded installs.
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