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linuszz

Customer Experience

by linuszz · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
166
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1
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Install in OpenClaw
/install customer-experience
Description
Map and analyze customer experience touchpoints. Use for improving satisfaction, loyalty, and customer journey optimization.
README (SKILL.md)

Customer Experience Analysis

Metadata

  • Name: customer-experience
  • Description: Customer journey and touchpoint analysis
  • Triggers: customer experience, CX, journey map, touchpoint, satisfaction

Instructions

Map customer experience for $ARGUMENTS to identify improvement opportunities.

Framework

Customer Journey Stages

Stage Touchpoints Customer Actions Emotions
Awareness Ads, social, word-of-mouth Discover brand Curious
Consideration Website, reviews, store Research options Evaluating
Purchase Checkout, sales, payment Buy product Excited/Anxious
Use Product, support, onboarding Use solution Satisfied/Frustrated
Loyalty Follow-up, community, rewards Recommend, repurchase Engaged

Experience Metrics

Metric Formula Target
NPS % Promoters - % Detractors >50
CSAT Satisfied customers / Total surveyed >80%
CES Effort score (1-7 scale) \x3C3
Retention Returning customers / Total >90%

Output

## Customer Experience Analysis: [Product/Service]

### Journey Map

**Stage 1: Awareness**
- Touchpoints: [List]
- Pain points: [Issues]
- Opportunities: [Improvements]

**Stage 2: Consideration**
- Touchpoints: [List]
- Pain points: [Issues]
- Opportunities: [Improvements]

[Continue for all stages]

### Experience Scorecard

| Metric | Current | Target | Status |
|--------|---------|--------|--------|
| NPS | 35 | 50 | 🟡 Gap: -15 |
| CSAT | 72% | 80% | 🟡 Gap: -8% |
| CES | 4.2 | 3.0 | 🔴 Gap: +1.2 |
| Retention | 85% | 90% | 🟡 Gap: -5% |

### Priority Improvements

| Priority | Stage | Issue | Impact | Effort |
|----------|-------|-------|--------|--------|
| 1 | Purchase | Long checkout | High | Medium |
| 2 | Use | Complex onboarding | High | High |
| 3 | Consideration | Poor mobile UX | Medium | Low |

### Action Plan

**Immediate (0-30 days)**
1. [Action 1]
2. [Action 2]

**Short-term (30-90 days)**
1. [Action 1]
2. [Action 2]

Tips

  • Walk through journey yourself
  • Interview real customers
  • Focus on emotional peaks and valleys
  • Prioritize high-impact, low-effort fixes
Usage Guidance
This skill appears to be a safe, coherent set of templates and advice for CX mapping. Before installing or using it, avoid pasting sensitive customer data or personally identifiable information into prompts (the skill itself has no safeguards), verify any quantitative results (metrics and gaps) against your real data, and treat outputs as starting points — validate recommended actions with real user research. Because it's instruction-only, risk is low, but exercise normal data-governance caution when feeding customer records or internal analytics into the agent.
Capability Analysis
Type: OpenClaw Skill Name: customer-experience Version: 1.0.0 The skill bundle contains only documentation and templates for customer experience analysis. There is no executable code, network activity, or suspicious instructions in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
The skill name/description (customer experience mapping and analysis) matches the SKILL.md content (journey stages, metrics, templates). It requests no binaries, env vars, or config paths — which is proportionate for a template/instruction-only CX helper.
Instruction Scope
The runtime instructions are templates and guidance for producing a journey map, scorecard, and action plan. They do not instruct the agent to read local files, environment variables, or call external endpoints, nor do they direct transmission of data to unknown servers.
Install Mechanism
No install spec or code files are present. Being instruction-only means nothing is written to disk and no external packages are fetched — the lowest-risk pattern.
Credentials
The skill declares no required environment variables, secrets, or config paths. There is no disproportionate credential or environment access requested.
Persistence & Privilege
always is false (default) and the skill has no install-time actions or claims of modifying agent/system settings. The default ability for the model to invoke the skill autonomously is normal and does not change the assessment here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install customer-experience
  3. After installation, invoke the skill by name or use /customer-experience
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the customer-experience skill to map and analyze customer journey touchpoints. - Provides a structured framework for assessing customer experience across awareness, consideration, purchase, use, and loyalty stages. - Includes key metrics and scorecard (NPS, CSAT, CES, Retention) with targets for tracking experience quality. - Supplies a ready-to-use template for journey mapping, pain point identification, and prioritizing improvements. - Offers actionable tips for effective customer experience analysis and optimization.
Metadata
Slug customer-experience
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Customer Experience?

Map and analyze customer experience touchpoints. Use for improving satisfaction, loyalty, and customer journey optimization. It is an AI Agent Skill for Claude Code / OpenClaw, with 166 downloads so far.

How do I install Customer Experience?

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

Is Customer Experience free?

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

Which platforms does Customer Experience support?

Customer Experience is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Customer Experience?

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

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