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linuszz

Conversion Waterfall

by linuszz · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
145
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Install in OpenClaw
/install conversion-waterfall
Description
Analyze customer conversion through funnel stages. Use for identifying drop-off points and optimization opportunities.
README (SKILL.md)

Conversion Waterfall

Metadata

  • Name: conversion-waterfall
  • Description: Customer funnel analysis and conversion tracking
  • Triggers: conversion, funnel, drop-off, customer journey

Instructions

Analyze conversion rates at each stage of the customer journey for $ARGUMENTS.

Framework

The Funnel Structure

┌─────────────────────────────────┐
│         AWARENESS               │  100,000 visitors
│         100%                    │
├─────────────────────────────────┤
│         INTEREST                │   50,000 engaged
│         50%                     │  ← 50% drop-off
├─────────────────────────────────┤
│         CONSIDERATION           │   20,000 qualified
│         20%                     │  ← 60% drop-off
├─────────────────────────────────┤
│         INTENT                  │    8,000 trials
│         8%                      │  ← 60% drop-off
├─────────────────────────────────┤
│         PURCHASE                │    2,000 customers
│         2%                      │  ← 75% drop-off
└─────────────────────────────────┘

Output

## Conversion Waterfall: [Product/Service]

### Funnel Metrics

| Stage | Volume | Conversion Rate | Drop-off | Value |
|-------|--------|-----------------|----------|-------|
| Awareness | 100,000 | 100% | - | - |
| Interest | 50,000 | 50% | 50,000 | $0 |
| Consideration | 20,000 | 40% | 30,000 | $0 |
| Intent | 8,000 | 40% | 12,000 | $0 |
| Purchase | 2,000 | 25% | 6,000 | $200K |

### Key Findings

**Largest Drop-off**: Consideration → Intent (60% loss)
- Root cause: [Analysis]
- Opportunity: [Potential improvement]

**Best Conversion**: Awareness → Interest (50%)
- Driver: [What's working]

### Recommendations

1. **[Priority 1]**: Address [stage] drop-off
2. **[Priority 2]**: Improve [stage] conversion

Tips

  • Focus on largest drop-offs first
  • Quantify revenue impact of improvements
  • Compare to industry benchmarks
  • Test changes incrementally
Usage Guidance
This skill is low-risk and appears to do what it says (generate a conversion waterfall and recommendations). Before using it: (1) be clear about how you will supply data — avoid pasting sensitive PII or credentials into the chat; (2) if the agent asks to connect to analytics tools, only provide credentials via your platform's official connectors (not in free text); (3) test the skill with non-sensitive sample data first to confirm assumptions (stage definitions, time windows, attribution), and (4) review any recommendations before applying them to production. If you need the skill to pull data automatically, expect to configure connectors or provide explicit, limited access — otherwise it will need you to supply the data inputs.
Capability Analysis
Type: OpenClaw Skill Name: conversion-waterfall Version: 1.0.0 The skill bundle is a standard analytical template for performing customer conversion funnel analysis. The SKILL.md file contains only descriptive instructions, a visualization framework, and output formatting guidelines for the AI agent, with no executable code, network activity, or malicious prompt injection attempts.
Capability Assessment
Purpose & Capability
The name/description (conversion/funnel analysis) matches the SKILL.md instructions and output templates. The skill does not request unrelated tools, binaries, or credentials.
Instruction Scope
Instructions are scoped to analyzing conversion rates and producing a waterfall report. However, the skill is vague about where input data should come from (it uses a generic $ARGUMENTS placeholder). That ambiguity means an agent using this skill may ask the user to upload CSVs or request access to analytics platforms; the SKILL.md itself does not direct the agent to read system files or external services.
Install Mechanism
No install spec or code is provided (instruction-only), so nothing will be written to disk and no external packages are fetched.
Credentials
No environment variables, credentials, or config paths are required. The skill does not request access to unrelated secrets or services.
Persistence & Privilege
The skill is user-invocable, not always-enabled, and does not request persistent or elevated privileges or modify other skills/configurations.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install conversion-waterfall
  3. After installation, invoke the skill by name or use /conversion-waterfall
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of the conversion-waterfall skill: - Enables analysis of customer conversion through funnel stages. - Identifies drop-off points and optimization opportunities in the customer journey. - Provides a structured framework and output template for funnel metrics, key findings, and actionable recommendations. - Includes tips for prioritizing improvements and quantifying potential impacts.
Metadata
Slug conversion-waterfall
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Conversion Waterfall?

Analyze customer conversion through funnel stages. Use for identifying drop-off points and optimization opportunities. It is an AI Agent Skill for Claude Code / OpenClaw, with 145 downloads so far.

How do I install Conversion Waterfall?

Run "/install conversion-waterfall" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Conversion Waterfall free?

Yes, Conversion Waterfall is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Conversion Waterfall support?

Conversion Waterfall is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Conversion Waterfall?

It is built and maintained by linuszz (@linuszz); the current version is v1.0.0.

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