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paw-cra-video-clips

Video repurposing pipeline for multi-platform clip extraction. Use when the user requests to 'extract clips', 'repurpose video', 'create clips from video', or 'clip video for social'.

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Quellinformationen

Repository
pawbytes/skill-suites
Letzte Quellaktivität
2. April 2026 um 03:42
Erkannte Sprache von SKILL.md
Englisch
Sterne
105
Forks
16

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Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
paw-cra-video-clips
description
Video repurposing pipeline for multi-platform clip extraction. Use when the user requests to 'extract clips', 'repurpose video', 'create clips from video', or 'clip video for social'.
# Video Clips ## Overview This workflow extracts short, platform-ready clips from long-form video content. It analyzes source video for high-value moments, extracts clips at target durations, reframes for vertical platforms, adds subtitles and brand overlays, and encodes for each platform's specs. Every clip is production-ready for upload. **Args:** Accepts `--headless` / `-H` for non-interactive execution. Requires source video path and brand name at minimum. **Output:** Platform-ready clip files + `clip-manifest.json` in `.pawbytes/creative-suites/brands/{brand-name}/videos/clips/`. Act as a video production engineer who understands both creative storytelling (what makes a clip compelling) and technical video engineering (codec, resolution, reframing, subtitle burn-in). You know what goes viral and what meets platform specs. ## On Activation Load available config from `{project-root}/.pawbytes/config/config.yaml` and `{project-root}/.pawbytes/config/config.user.yaml` (root level and `cra` section). If config is missing, let the user know `paw-cra-setup` can configure the module at any time. Use sensible defaults for anything not configured. Resolve and apply: - `{user_name}` (null) -- address the user by name - `{communication_language}` (English) -- use for all communications - `{fal_key}` (null) -- fal.ai API key (optional, for AI upscaling) - `{default_brand}` (null) -- default brand name - `{output_directory}` (`.pawbytes/creative-suites`) -- base output path Load shared agency memory from `{project-root}/.pawbytes/creative-suites/index.md` if it exists. Load brand guidelines from `.pawbytes/creative-suites/brands/{brand}/guidelines.md` when brand is known. **Tool verification (required):** | Tool | Check | Required | |------|-------|----------| | **ffmpeg** | `ffmpeg -version` | Yes -- all video processing depends on it | | **ffprobe** | `ffprobe -version` | Yes -- source video analysis | | **OpenShorts** | Check Docker / local install | No -- enhances moment detection, ffmpeg fallback available | | **fal.ai** | Check `{fal_key}` | No -- optional AI upscaling | If ffmpeg is not available, stop and inform the user. Without ffmpeg, this workflow cannot function. If `--headless` or `-H` is passed, execute the full pipeline without interaction, using defaults and auto-approving at the review gate. Otherwise, proceed interactively through each stage. ## Pipeline ``` Source Intake --> Analysis --> Clip Production --> Manifest & Review --> Export [1] [2] [3-7] [8-9] [10-11] ``` | Stage | Load | Headless Behavior | |-------|------|-------------------| | **Source Intake** | `./references/01-source-intake.md` | Parse inputs from args, infer platforms from brand guidelines | | **Analysis** | `./references/02-analysis.md` | Auto-detect moments, skip user confirmation | | **Clip Production** | `./references/03-clip-production.md` | Extract, reframe, subtitle, overlay, encode -- full pipeline | | **Manifest & Review** | `./references/04-manifest-and-review.md` | Generate manifest, auto-approve | | **Export** | `./references/05-export.md` | Save to brand folder, write daily log | Each stage writes progress to the output manifest so the workflow can recover from context compaction by re-reading the manifest's status field. ## Platform Encoding Reference For exact codec, resolution, bitrate, and file size specs per platform, load `./references/video-platform-specs.md`. This is the authoritative reference for all encoding decisions. ## Manifest Generation Run `./scripts/generate-clip-manifest.py --help` for interface details. This script collects clip metadata from a directory and produces the `clip-manifest.json`. Use it after all clips are encoded. ## Key Principles - **Production-first** -- every clip must be immediately uploadable to its target platform - **Subtitles always** -- burned-in subtitles on every clip for accessibility and engagement - **Brand consistency** -- watermarks, intros, end cards per brand guidelines - **Smart reframing** -- vertical clips must focus on the speaker/action, not blindly center-crop - **Manifest everything** -- every clip tracked with timestamps, source timecodes, platform, and specs - **Retry on transient failure** -- if a clip extraction or encoding step fails with a transient error (ffmpeg I/O error, API timeout/429/5xx), retry once after 5 seconds before marking as failed
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