Hyperframes Testimonial Builder Skill for Claude

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.

1k tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

235

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/OneWave-AI/claude-skills --skill hyperframes-testimonial-builder

The instruction itself

7 sections, as written by the author

HyperFrames Testimonial Builder

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).

Step 1 -- Gather the proof

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.

Step 2 -- Pick the format

Spotlight (20-30s) -- one strong story: setup (the problem in the customer's words), the turn, the result, CTA.
Review wall (15-25s) -- 4-6 short quotes in rhythm, star ratings and names, momentum building to an aggregate line ("300+ five-star reviews") and CTA.
Proof reel (30-45s) -- stats-forward: animated counters for the numbers (customers served, dollars saved, rating), interleaved with the two best quote lines.

Step 3 -- Build the composition

Quote text is the hero visual: large, readable, animated in phrase by phrase, timed to the VO. Attribution (first name, business/role, star row) small and consistent.
Verbatim always -- trim with ellipses where needed, never rewrite a customer's words into marketing-speak; the texture of real speech is the credibility.
Brand rules honored: the business's palette and type (reuse a claude-design-system-architect or design-style-installer token set if present); no purple, no emoji.
Captions synced (muted autoplay is the default viewing mode), counters and star fills animated deterministically per HyperFrames seek-safety rules, VO via the media pipeline reading the quotes with a neutral warm voice -- or silence with music-bed timing if the user prefers.
Lint and preview before declaring done; never claim it renders without running the pipeline.

Step 4 -- Deliver

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.

Rules

Real quotes from real customers only. Never fabricate, composite, or "improve" a testimonial -- fabricated social proof is a legal problem, not a style choice.
Get-permission reminder in the deliverable: quotes from private emails need the customer's OK before public use; public reviews are fair to feature.
Attribution as strong as permitted: full name and business beats first name beats anonymous, in that order of asking.
One result number per beat -- stacked stats blur; sequenced stats land.
The CTA matches where the proof points: reviews about service -> book a call; reviews about results -> see pricing.

Quick Commands

"Testimonial video from [reviews/file]" -- full workflow, format recommended
"Review wall from my Google reviews" -- wall format from a profile or export
"Spotlight [customer story]" -- single-story treatment
"Proof reel from [case study]" -- stats-forward cut

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13k tokens

How to use it

Copy the folder

Take onewave-ai/hyperframes-testimonial-builder from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.