Install
$ agentstack add skill-linuszz-business-strategy-planning-skills-scatter-graphs ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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):
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No Correlation (r ≈ 0):
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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.
- Author: linuszz
- Source: linuszz/business-strategy-planning-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.