100 Percent Bars

v1.0.0

Compare composition across segments using 100% stacked bars. Use for competitive analysis, cost structure comparison, and portfolio composition.

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Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "100 Percent Bars" (linuszz/100-percent-bars) from ClawHub.
Skill page: https://clawhub.ai/linuszz/100-percent-bars
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

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openclaw skills install 100-percent-bars

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npx clawhub@latest install 100-percent-bars
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Purpose & Capability
Name, description, and runtime instructions all describe creating 100% stacked bar charts for composition comparison; there are no unrelated environment variables, binaries, or install actions requested.
Instruction Scope
Instructions are generic and scoped to defining the analysis, gathering data, calculating totals, and producing charts. "Gather data" is open-ended (it doesn't specify data sources), so the agent may need user-supplied data or permission to access data sources; however, the SKILL.md does not instruct the agent to read unrelated system files or credentials.
Install Mechanism
No install spec and no code files — instruction-only skill. This minimizes disk writes and reduces install-time risk.
Credentials
No environment variables, credentials, or config paths are requested; the requested footprint is minimal and proportionate to the stated purpose.
Persistence & Privilege
always:false (default) and no special persistence or system-wide configuration changes are requested. The skill may be invoked autonomously (platform default) but that is not a red flag on its own here.
Assessment
This skill is an instruction-only template for producing 100% stacked bar charts and appears coherent. Before using it, supply or confirm the data the agent should use (the instructions say to "gather data" but do not specify sources). Avoid granting the agent broad access to sensitive files or external data stores just to satisfy that step. If you allow autonomous invocation, consider whether you want the agent able to fetch data from your accounts or systems — otherwise provide the data directly in the prompt. Verify final charts and annotations for accuracy and source attribution.

Like a lobster shell, security has layers — review code before you run it.

latestvk974m8m2v0hep54vzg1s1gtk3d839bhn
144downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

100% Bars

Metadata

  • Name: 100-percent-bars
  • Description: Stacked bar charts for visualizing segment composition
  • Triggers: 100% bars, segmentation, composition analysis, market share

Instructions

Create 100% stacked bars to show how different categories contribute to total.

Output Process

  1. Define the analysis - What are we comparing?
  2. Gather data - Obtain segment sizes, category shares, revenues
  3. Calculate totals - Ensure data adds up to 100%
  4. Order segments - Usually largest to smallest
  5. Create chart - Excel, PowerPoint, or specialized tool
  6. Add annotations - Key insights, totals, sources

Output Format

## 100% Bars: [Analysis Type]

### Data Table

| Segment | 2023 | 2024 | 2025 | % Change |
|-----------|---------|----------|--------|--------|
| [Segment 1] | $X M | $Y M | +X% | 📈 |
| [Segment 2] | $X M | $Y M | +X% | 📈 |
| [Segment 3] | $X M | $Y M | +X% | 📈 |
| [Segment 4] | $X M | $Y M | +X% | 📈 |
| **Other** | $X M | $Y M | -X% | 📈 |
| **Total** | **100%** | $X M | $Y M | 📈 |

### Chart Specifications

**X-Axis:** Market size (revenue, units, customers)
**Y-Axis:** Segment composition (% of total)
**Source:** [Where data came from]
**Time Period:** [Year range]

---

### Total Breakdown by Category

| Category | 2023 | 2024 | 2025 | % Change |
|-----------|---------|----------|----------|--------|
| Products | $X M | $Y M | +X% | 📈 |
| Services | $X M | $Y M | -X% | 📈 |
| Other | $X M | $Y M | -X% | 📈 |
| **Total** | $X M | $Y M | 📈 |

---

### Composition Chart

100% Stacked Bar by Year


---

### Key Insights

**Insight 1:** [Analysis]
- [Observation about market dynamics]
- [Implication for strategy]

**Insight 2:** [Analysis] 
- [Observation about product mix]
- [Implication for portfolio balance]

**Insight 3:** [Analysis]
- [Observation about geographic spread]
- [Implication for distribution strategy]

---

### Historical Trends

| Metric | 2023 | 2024 | 2025 | Trend |
|--------|---------|----------|----------|
| Market Size | X M | Y M | ↗ | ↗ |
| Growth Rate | 3% | 2% | ↓ |

## Tips

- Use 100% to make comparison meaningful
- Order segments consistently across time periods
- Focus on trends, not just composition
- Show both absolute and percentage changes
- Annotate strategically important shifts

References

  • Tufte, Edward. The Visual Display of Quantitative Information. 2001.
  • Few, Stephen. Show Me the Numbers. 2012.

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