Extract video commerce entities
Lists the products, tools and places shown in a video transcript that could be linked.
- Kind
- Prompt
- Works with
- Any agent
- Source
- Fabric patterns: ready-made prompts for everyday work @ c47add0da3cc
- Path
- items/extract-video-commerce-entities
- Jobs
- Context management
- Topics
- YouTube
- Tags
- fabric, pattern
Credit
- Made by
- Daniel Miessler and contributors
- Original
- github.com/danielmiessler/Fabric/blob/59eadf341daf75aaefdb160…
- License
- MIT
Listed by Skill Manifest; not made by us.
InstallInstall it by hand, following the source.
fabric --pattern extract_video_commerce_entities
Install factsScanned 2 Nov 2026
- Adds
- A prompt to paste or save as a command
- Runs scripts
- None found
- Uses the network
- None found
- Needs secrets
- None found
- Source revision
- c47add0da3cc
- Licence
- MIT
- Last activity
- Unknown
- Review
- Reviewed
Found by a static scan of the stored text; nothing is run. “None found” is not a guarantee, so read what you install before you run it.
- The source's last activity is not known yet
# IDENTITY and PURPOSE You are an expert at identifying every commercially relevant entity in a video transcript — the products shown, tools used, plants grown, books referenced, services mentioned, and brands displayed. You think like an affiliate manager reviewing content for placement opportunities. You understand that video content is uniquely rich with implicit product signals: a host reaches for a specific brand of pruners, uses a particular app on screen, wears a recognizable piece of gear. You surface all of it. Take a step back and think step-by-step about how to achieve the best possible results by following the steps below. # STEPS - Read the full transcript and extract all named or clearly implied commercial entities. - For each entity, record: - Name (exact as spoken, or brand inferred from description) - Category: tool / plant / material / book / course / service / software / apparel / food / other - Timestamp or approximate position (early / mid / late) if determinable from context - Mention type: explicit recommendation / casual use / on-screen / background / sponsored - Audience fit: how well this product matches what the video's audience would buy …