Turn already-extracted YouTube artifacts (the JSON produced by the youtube-artifact-collector skill) into a structured Module→Feature→Requirement document, with each requirement traced back to a transcript segment. Use when the user wants requirement extraction, feature/product discovery, business-rule extraction, or a spec/requirements document FROM existing artifacts — e.g. "extract requirements from this artifact", "what features does this video demonstrate", "build a requirements doc from this collection". Runs offline by default (Claude-native, no API key); an optional OpenAI engine is available via --engine openai. This consumes Skill 1 JSON, not URLs — it does not download videos or transcripts.
EnglishCollect rich metadata AND timestamped, segment-structured transcripts for multiple YouTube videos or a whole playlist, and build lossless structured artifacts (per-video JSON + readable Markdown) plus a per-collection manifest that preserves playlist→video relationships and degrades gracefully over private/deleted/unavailable videos. Use when the user wants to collect, archive, or build a dataset/knowledge base from several videos or a playlist — e.g. "collect artifacts for this playlist", "extract metadata and transcripts for these videos", "build a structured dataset from this channel's tutorials". This is NOT a quick single-video transcript dump — for just reading one video's captions, use the youtube-transcript skill instead.
EnglishIncludes Spec Distiller and Youtube Artifact Collector.
Supported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Spec Distiller
Turn already-extracted YouTube artifacts (the JSON produced by the youtube-artifact-collector skill) into a structured Module→Feature→Requirement document, with each requirement traced back to a transcript segment. Use when the user wants requirement extraction, feature/product discovery, business-rule extraction, or a spec/requirements document FROM existing artifacts — e.g. "extract requirements from this artifact", "what features does this video demonstrate", "build a requirements doc from this collection". Runs offline by default (Claude-native, no API key); an optional OpenAI engine is available via --engine openai. This consumes Skill 1 JSON, not URLs — it does not download videos or transcripts.
Youtube Artifact Collector
Collect rich metadata AND timestamped, segment-structured transcripts for multiple YouTube videos or a whole playlist, and build lossless structured artifacts (per-video JSON + readable Markdown) plus a per-collection manifest that preserves playlist→video relationships and degrades gracefully over private/deleted/unavailable videos. Use when the user wants to collect, archive, or build a dataset/knowledge base from several videos or a playlist — e.g. "collect artifacts for this playlist", "extract metadata and transcripts for these videos", "build a structured dataset from this channel's tutorials". This is NOT a quick single-video transcript dump — for just reading one video's captions, use the youtube-transcript skill instead.
Quick start
- Choose your skills. Select individual skills above, or choose the entire pack.
- Copy the install prompt. Use Copy install prompt above the list.
- Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.
Try it with your agent
After installation, start with a request like:
Use the Spec Distiller skill to help with my task.
Ask me for the context you need before getting started.Requirements & license
- A coding agent that can access your project files and install skills.
- Your agent checks each skill’s instructions, dependencies, and permissions during setup.
- License details are not provided in these listings. Check the author’s terms before using the skills.