onewave-ai/claude-skills

hyperframes-testimonial-builder

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.

First seen Jul 17, 2026

Installation

$ npx skills add onewave-ai/claude-skills --skill hyperframes-testimonial-builder

Summary

  • 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.

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

Other skills from onewave-ai/claude-skills · top by installs.

npx skills add onewave-ai/claude-skills

Browse all from onewave-ai/claude-skills

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 287
License MIT
Default branch main
Open issues 0
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 4,061 B
  • docs SUMMARY.md 360 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 45 installs

SKILL.md

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