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linuszz

100 Percent Bars

by linuszz · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install 100-percent-bars
Description
Compare composition across segments using 100% stacked bars. Use for competitive analysis, cost structure comparison, and portfolio composition.
README (SKILL.md)

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.
Usage Guidance
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.
Capability Analysis
Type: OpenClaw Skill Name: 100-percent-bars Version: 1.0.0 The skill bundle provides instructions and templates for an AI agent to perform data analysis and create 100% stacked bar charts. It contains no executable code, network requests, or malicious prompt injection attempts, and its content in SKILL.md is entirely consistent with its stated purpose of data visualization.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install 100-percent-bars
  3. After installation, invoke the skill by name or use /100-percent-bars
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of 100-percent-bars. - Enables creation of 100% stacked bar charts for segment composition analysis. - Includes clear output templates for data tables, chart specs, insights, and trends. - Provides step-by-step workflow for assembling and annotating charts. - Offers tips and references for effective visualization and analysis.
Metadata
Slug 100-percent-bars
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is 100 Percent Bars?

Compare composition across segments using 100% stacked bars. Use for competitive analysis, cost structure comparison, and portfolio composition. It is an AI Agent Skill for Claude Code / OpenClaw, with 145 downloads so far.

How do I install 100 Percent Bars?

Run "/install 100-percent-bars" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 100 Percent Bars free?

Yes, 100 Percent Bars is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 100 Percent Bars support?

100 Percent Bars is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 100 Percent Bars?

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

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