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Turn real customer reviews, quotes, and case-study results into polished social-proof videos built in HyperFrames -- single-testimonial spotlights, review-wall montages, and stat-driven proof reels with captions and voiceover, cut for vertical, square, and wide. The highest-converting content most businesses never make.
Passed 18 of 22 test cases with the skill, and 10 of 22 without it.
and 9 more in the full report
8 fixed10 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
We need a neutral warm audio voiceover reading our customer quotes in the video. What media skill or component in our workspace handles the voiceover generation for this render workflow?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies hyperframes-media as the voiceover audio generation tool. | Missed | Passed |
The instructions your model reads when the skill loads.
Nothing sells like a customer saying it. This skill takes the proof a business already has -- Google reviews, testimonial emails, case-study numbers, NPS comments -- and directs it into renderable HyperFrames video. It owns the selection and the story; for composition mechanics, captions, transitions, and TTS, invoke the hyperframes skill (hyperframes-cli for init/lint/preview/render, hyperframes-media for voiceover).
Take whatever exists: pasted reviews, a review export, customer-review-aggregator output, case-study docs, or a profile URL to pull from. For each candidate quote capture the text verbatim, the name/attribution available, the specific result mentioned, and the source.
Select for specificity: "They saved us $40K and two weeks" outperforms "Great company, highly recommend" every time. Rank candidates by concrete detail, emotional arc (skeptic-to-believer beats always-happy), and relevance to the audience the video targets.
claude-design-system-architect or design-style-installer token set if present); no purple, no emoji.Platform cuts (9:16, 1:1, 16:9), a thumbnail frame, and the caption text for the post. Note where each cut runs best: review wall for the Google Business Profile and Instagram, spotlight for the website hero and proposals, proof reel for paid.
test cases passed, vs 10 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.