testimonial-collector

Q: How do I install testimonial-collector?

Run npx skills add https://github.com/brianrwagner/ai-marketing-claude-code-skills --skill testimonial-collector in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/testimonial-collector/ (personal) or .claude/skills/testimonial-collector/ (project).

by brianrwagnerMarketing & SEO

Systematically gather, score, and format client testimonials. Use when someone needs social proof, wants to collect feedback, needs to turn happy clients into public advocates, or asks for help requesting or drafting a testimonial.

Installs: 394
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/brianrwagner/ai-marketing-claude-code-skills --skill testimonial-collector

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads testimonial-collector automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Testimonial Collector

Mode

Detect from context or ask: "One script, full system, or full system with campaign?"

Mode	What you get	Best for
`quick`	1 outreach script + 1 format template	Asking one client, right now
`standard`	Full collection system: timing, scripts, formatting, display guidance	Building repeatable social proof
`deep`	Full system + multi-channel strategy + case study pipeline	Sales enablement, proposal library

Default: standard — use quick if they have one client in mind. Use deep if they want a system they can hand to a VA.

Context Loading Gates

Before proceeding, gather:

Client name, company, and industry
Project type and specific deliverables
Key results — push for at least one number ("even a rough estimate")
Desired output format (short quote / medium paragraph / full narrative)
Urgency (this week vs. building a library)

If results are vague (e.g., "things improved"), stop and ask: "Can you name one specific number — even a rough estimate? That's what makes a testimonial credible and usable." Do not draft until you have this.

If the user wants to skip a field: note it and flag the quality impact in the output.

Phase 1: Situation Analysis

Before drafting anything, reason through:

Client relationship stage: Was this a quick project or a deep engagement? Depth affects how much authentic language is available.
Results clarity: Are the outcomes measurable (numbers, timelines, named outcomes) or soft (vibes, general satisfaction)?
Format match: What placement does the user need this for? A homepage needs different length than a sales deck.
Voice data: Does the user have existing communication from this client (emails, Slack, quotes) that can inform tone?

Output a brief situation summary:

"You have a [length] engagement with [client] in [industry], with [strong/weak] results data. I'll draft in [format] with [authentic/templated] voice. Main gap to address: [specific gap]."

Phase 2: Quality Scoring Framework

Score the raw testimonial content (or anticipated content) before drafting:

Dimension	Score 1	Score 3	Score 5
Specificity	No details	Vague references	Specific named result
Measurability	"It was great"	"Noticeable improvement"	"40% increase in leads"
Authentic Voice	Sounds like ad copy	Slightly stilted	Reads exactly how a person talks
Length	Too short (no context)	Decent but thin	Enough for all 3 formats

Scoring rule:

4+ on all 4 dimensions → ready to use
≤2 on any dimension → apply iteration protocol before delivering

Phase 3: Draft Generation

The Ask Templates

Direct Ask:

Subject: Quick favor (30 seconds)

Hey [Name],

Loved working on [project] with you — especially seeing [specific result].

Would you be open to sharing a quick testimonial I could use on my site?

No pressure. If yes, I can either:
A) Send you 3 questions to answer
B) Write a draft for you to approve/edit

Whatever's easier.

Question Route:

3 quick questions:
1. What was the situation before we worked together?
2. What changed or improved?
3. Would you recommend this to others? Why?

Draft-on-Behalf Framework: Rules for writing in the client's voice:

Tone: Match their actual communication style (check emails/messages for vocabulary)
Structure: Situation Before → What Changed → Specific Result → Recommendation
Avoid: Superlatives without evidence ("amazing," "life-changing")
Avoid: Leading with praise — lead with the client's situation
Length: 50-75 words (short), 100-150 words (medium), 200+ (long/full)

Fill-in template:

"[Client situation in 1 sentence]. [What the engagement delivered — concrete]. 
[Specific result, ideally with a number]. [Recommendation statement in client's natural voice]."

Phase 4: Format Production

Short Format (2-liner)

"[One punchy outcome sentence — lead with the result]"
— [Name], [Title] at [Company]

Use for: Homepage, LinkedIn featured section, proposal proof points

Medium Format (2-3 sentences)

"[Problem or situation]. [What changed]. [Recommendation or result]."
— [Name], [Title] at [Company]

Use for: Services page, sales decks, email sequences

Long Format (Full narrative)

Structure:

Context paragraph (2-3 sentences on the situation)
Transformation paragraph (what happened during the engagement)
Results paragraph (outcomes, numbers, named wins)
Closing recommendation sentence

Use for: Case study pages, downloadable PDFs, high-trust sales assets

Phase 5: Self-Critique Pass (REQUIRED)

After generating all formats, evaluate:

Specificity check: Does the short version have at least one concrete outcome (not just "great results")? Voice check: Could the client have actually written this, or does it sound like a marketing headline? Placement check: Is the recommended format actually correct length for the stated use case? Ethics check: Does the draft contain any claims the client didn't make or numbers you added?

Flag any issues: "The short version lacks a specific metric — you'll need to get one number from the client before using this on a homepage."

Iteration Protocol

If the received testimonial scores ≤2 on any dimension, send this gentle follow-up:

"Thanks so much — this is great. One small ask: could you add one specific 
number or outcome? Even rough ('saved us about 5 hours a week') makes it 
much more compelling for other clients. Totally optional, but makes a real difference."

If a second request still yields nothing specific: use Tier 3 proxy language:

"noticeable improvement in [area]" or "process now runs without manual oversight"

Placement Recommendation

Always deliver a placement recommendation with the formatted testimonials:

Format	Recommended Locations	Why
Short (2-liner)	Homepage, proposals, LinkedIn	Trust at first glance
Medium	Services page, email, sales decks	Overcome late-stage objections
Long	Case study page, PDF, portfolio	Deep proof for serious buyers

Cross-reference: If this client has a strong story, suggest running case-study-builder to expand into a full case study.

Output Structure

## Testimonial: [Client Name] — [Date]

### Quality Assessment
- Specificity: [X/5]
- Measurability: [X/5]
- Authentic Voice: [X/5]
- Length: [X/5]
- **Total: [X/20] — [Ready to use / Needs iteration]**

### Short Format (2-liner)
"[Quote]"
— [Name], [Title], [Company]

### Medium Format
"[Quote]"
— [Name], [Title], [Company]

### Long Format
[Full narrative]

### Placement Recommendation
[Where to use each format]

### Next Step
[Iteration note OR cross-reference to case-study-builder]

Skill by Brian Wagner | AI Marketing Architect | brianrwagner.com

FAQ

What does the testimonial-collector skill do?

How do I install testimonial-collector?

Run npx skills add https://github.com/brianrwagner/ai-marketing-claude-code-skills --skill testimonial-collector in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/testimonial-collector/ (personal) or .claude/skills/testimonial-collector/ (project).

Which AI agents can use testimonial-collector?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is testimonial-collector safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains testimonial-collector?

It is published by brianrwagner in brianrwagner/ai-marketing-claude-code-skills. It has 394 recorded installs.