Testimonial Collector

Generates testimonial request emails and formats collected testimonials for marketing

3,891 stars

Best use case

Testimonial Collector is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Generates testimonial request emails and formats collected testimonials for marketing

Generates testimonial request emails and formats collected testimonials for marketing

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "Testimonial Collector" skill to help with this workflow task. Context: Generates testimonial request emails and formats collected testimonials for marketing

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/afrexai-testimonial-collector/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/1kalin/afrexai-testimonial-collector/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/afrexai-testimonial-collector/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Testimonial Collector Compares

Feature / AgentTestimonial CollectorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Generates testimonial request emails and formats collected testimonials for marketing

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 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)

Related Skills

design-inspiration-collector

3891
from openclaw/skills

多平台设计灵感收集技能。当用户需要设计参考、UI灵感、视觉创意时触发。用户提出设计方向(如"医疗App"、"移动端UI"、"金融Dashboard"等),技能负责:(1) 使用Tavily搜索Behance、Dribbble、Pinterest三个平台的相关内容 (2) 整理内容并附上链接 (3) 生成腾讯文档,文档命名为"关键词+日期时间"格式 (4) 发送文档链接给用户 (5) 推荐其他相关方向(不带链接)。触发词:找灵感、收集灵感、设计参考、UI参考、视觉灵感、设计趋势、Behance、Dribbble、Pinterest。

kb-collector

3891
from openclaw/skills

Knowledge Base Collector - save YouTube, URLs, text to Obsidian with AI summarization. Auto-transcribes videos, fetches pages, supports weekly/monthly digest emails and nightly research.

industry-news-collector

3891
from openclaw/skills

行业新闻聚合与热度排序工具。当用户询问XX行业的最新动态时触发,如:"今天有什么XX行业新闻?""总结一下这周的XX行业动态""最近XX行业有什么热点?"。覆盖:新产品发布、行业动态、融资新闻、技术突破、政策变化等。输出中文摘要列表,按热度排序,附带原文链接。

soc2-evidence-collector

3891
from openclaw/skills

Generate SOC2 evidence collection checklists, automate evidence gathering scripts, and produce audit-ready evidence packages. Covers all 5 Trust Service Criteria (Security, Availability, Processing Integrity, Confidentiality, Privacy). Use when preparing for SOC2 Type I/II audits, maintaining continuous compliance, or building evidence collection automation. Built by AfrexAI.

Meta Ads Collector Skill

3891
from openclaw/skills

## Purpose

Instagram Collector Skill

3891
from openclaw/skills

## Purpose

skill-feedback-collector

3891
from openclaw/skills

Human-in-the-loop MCP feedback collector with task queue. Pauses to collect human input via browser UI before continuing. Use when completing tasks, encountering uncertain parameters, needing user confirmation, working with coding plan subscriptions, or when you should ask instead of guess. Also covers batch task execution via auto-dequeue.

---

3891
from openclaw/skills

name: article-factory-wechat

Content & Documentation

humanizer

3891
from openclaw/skills

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

Content & Documentation

find-skills

3891
from openclaw/skills

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

General Utilities

tavily-search

3891
from openclaw/skills

Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.

Data & Research

baidu-search

3891
from openclaw/skills

Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.

Data & Research