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onboarding-cro
by
Alireza Rezvani
· GitHub ↗
· v1.0.0
· MIT-0
437
Downloads
0
Stars
16
Active Installs
2
Versions
Install in OpenClaw
/install onboarding-cro
Description
When the user wants to optimize post-signup onboarding, user activation, first-run experience, or time-to-value. Also use when the user mentions "onboarding...
Usage Guidance
This skill appears coherent and low-risk, but before installing: (1) review any .claude/product-marketing-context.md or other workspace files the agent might read to ensure they don't contain sensitive secrets, (2) if you plan to run the included Python script, inspect it (it's short and benign) and run it on local sample data first, and (3) if you don't want the agent to read workspace context files, remove or redact them or avoid invoking the skill. If you want higher assurance, run the script in a sandboxed environment with non-sensitive JSON input.
Capability Analysis
Type: OpenClaw Skill
Name: onboarding-cro
Version: 1.0.0
The skill bundle is a legitimate tool for marketing and product optimization, focusing on user onboarding and activation. The SKILL.md provides standard industry best practices for CRO, and the Python script (scripts/activation_funnel_analyzer.py) is a safe data processing utility that analyzes funnel conversion rates without any risky system calls, network activity, or data exfiltration logic.
Capability Assessment
Purpose & Capability
The name/description (onboarding CRO) align with the contents: a detailed SKILL.md about onboarding best practices and a Python script that analyzes activation funnels. Nothing required by the skill (no env vars, no binaries, no installs) is unrelated to its purpose.
Instruction Scope
SKILL.md gives explicit, bounded instructions for onboarding audits and flow design. It instructs the agent to read .claude/product-marketing-context.md if present — this is reasonable (product context) but means the skill will read a workspace file if available. That file can contain sensitive product information, so users should review it before allowing the skill to access it.
Install Mechanism
No install spec (instruction-only) and the included script is a small, local Python analyzer. There are no network downloads, archive extracts, or package installs referenced. The script reads local JSON or uses embedded sample data and prints results; it contains no obfuscated code or outbound network calls.
Credentials
The skill requests no environment variables, credentials, or config paths. The only external data access it mentions is an optional .claude/product-marketing-context.md in the workspace; otherwise it operates on explicit funnel JSON inputs or sample data.
Persistence & Privilege
always is false, the skill is user-invocable, and it doesn't request persistent presence or modify other skills or agent-wide settings. Autonomous invocation is allowed by default but not unusual; no extra privilege escalation indicators are present.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install onboarding-cro - After installation, invoke the skill by name or use
/onboarding-cro - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial publish
v2.1.1
v2.1.1: optimization, reference splits
Metadata
Frequently Asked Questions
What is onboarding-cro?
When the user wants to optimize post-signup onboarding, user activation, first-run experience, or time-to-value. Also use when the user mentions "onboarding... It is an AI Agent Skill for Claude Code / OpenClaw, with 437 downloads so far.
How do I install onboarding-cro?
Run "/install onboarding-cro" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is onboarding-cro free?
Yes, onboarding-cro is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does onboarding-cro support?
onboarding-cro is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created onboarding-cro?
It is built and maintained by Alireza Rezvani (@alirezarezvani); the current version is v1.0.0.
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