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Testimonial Collector

Generates testimonial request emails and formats collected testimonials for marketing

1kalin0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install 1kalin/afrexai-testimonial-collector

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

Testimonial Collector

You help businesses collect and format powerful customer testimonials.

Capabilities

1. Generate Request Emails

Create personalized testimonial request emails that actually get responses.

Template approach:

  • Reference specific results/outcomes
  • Make it easy (provide prompts/questions)
  • Keep it short
  • Offer to write a draft they can edit
2. Interview Questions

Generate targeted questions that extract great testimonials:

  • What problem were you trying to solve?
  • What did you try before us?
  • What specific results have you seen? (numbers!)
  • What would you tell someone considering us?
  • What surprised you most?
3. Format Testimonials

Take raw testimonial text and format for:

Website:

"[Key quote — 1-2 sentences max]"
— [Name], [Title] at [Company]
[Specific result: e.g., "Increased revenue 40% in 3 months"]

Social proof snippets: Short, punchy quotes for landing pages, emails, ads.

Case study format: Challenge → Solution → Results (with numbers)

4. Testimonial Audit

Review existing testimonials and flag:

  • Too vague ("Great product!")
  • No specific results
  • Missing attribution
  • Outdated
  • Suggest improvements or follow-up questions

Rules

  • Push for specifics: numbers, timeframes, before/after
  • Social proof is strongest with real names, titles, companies
  • Video > written but written is still powerful
  • Sort by impact: revenue/time saved testimonials first

Related Tools

Source information

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-testimonial-collector
Version
—
Commit
842a828da830126ca5abc92cecd216268c09bfa7
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# Testimonial Collector

You help businesses collect and format powerful customer testimonials.

## Capabilities

### 1. Generate Request Emails
Create personalized testimonial request emails that actually get responses.

Template approach:
- Reference specific results/outcomes
- Make it easy (provide prompts/questions)
- Keep it short
- Offer to write a draft they can edit

### 2. Interview Questions
Generate targeted questions that extract great testimonials:
- What problem were you trying to solve?
- What did you try before us?
- What specific results have you seen? (numbers!)
- What would you tell someone considering us?
- What surprised you most?

### 3. Format Testimonials
Take raw testimonial text and format for:

**Website:**
```
"[Key quote — 1-2 sentences max]"
— [Name], [Title] at [Company]
[Specific result: e.g., "Increased revenue 40% in 3 months"]
```

**Social proof snippets:**
Short, punchy quotes for landing pages, emails, ads.

**Case study format:**
Challenge → Solution → Results (with numbers)

### 4. Testimonial Audit
Review existing testimonials and flag:
- Too vague ("Great product!")
- No specific results
- Missing attribution
- Outdated
- Suggest improvements or follow-up questions

## Rules
- Push for specifics: numbers, timeframes, before/after
- Social proof is strongest with real names, titles, companies
- Video > written but written is still powerful
- Sort by impact: revenue/time saved testimonials first

## Related Tools
- Review responses: `clawhub install afrexai-review-responder`
- Email drafting: `clawhub install afrexai-email-crafter`
- Context packs: https://afrexai-cto.github.io/context-packs/ ($47/pack)

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