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Scatter Graphs

skill-linuszz-business-strategy-planning-skills-scatter-graphs · by linuszz

Visualize relationships between two variables. Use for correlation analysis and pattern identification.

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Install

$ agentstack add skill-linuszz-business-strategy-planning-skills-scatter-graphs

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

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About

Scatter Graphs

Metadata

  • Name: scatter-graphs
  • Description: Correlation and relationship analysis
  • Triggers: scatter plot, correlation, relationship, XY chart

Instructions

Analyze relationships between variables for $ARGUMENTS using scatter graphs.

Framework

Scatter Plot Types

| Pattern | Meaning | Action | |---------|---------|--------| | ↑ Positive | Direct correlation | Leverage relationship | | ↓ Negative | Inverse correlation | Manage trade-off | | ○ None | No correlation | Look for other factors | | ◐ Clustered | Segments exist | Analyze separately |

Correlation Strength

Strong Positive (r > 0.7):
    │     •
    │   • •
    │ • •
    │• •
    └──────

No Correlation (r ≈ 0):
    │  •   •
    │ •    •
    │   •  •
    │ •   •
    └──────

Output

## Scatter Analysis: [Variables]

### Data Summary

| X Variable | Y Variable | n | Correlation (r) |
|------------|------------|---|-----------------|
| Price | Volume | 50 | -0.65 |
| Ad Spend | Revenue | 50 | +0.72 |
| Size | Profit | 50 | +0.45 |

### Key Findings

**Relationship 1: Price vs Volume**
- Correlation: -0.65 (moderate negative)
- Interpretation: Higher price reduces volume
- Action: [Recommendation]

**Relationship 2: Ad Spend vs Revenue**
- Correlation: +0.72 (strong positive)
- Interpretation: Advertising drives revenue
- Action: [Recommendation]

### Outliers

| Observation | X | Y | Reason |
|-------------|---|---|--------|
| Store #12 | Very high | Low | New location |
| Store #23 | Low | High | Prime location |

### Implications

1. [Implication 1]
2. [Implication 2]

Tips

  • Check for causation vs correlation
  • Identify and investigate outliers
  • Consider non-linear relationships
  • Segment data if patterns differ

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.