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100 Percent Bars

作者 linuszz · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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当前安装
1
版本数
在 OpenClaw 中安装
/install 100-percent-bars
功能描述
Compare composition across segments using 100% stacked bars. Use for competitive analysis, cost structure comparison, and portfolio composition.
使用说明 (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.
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install 100-percent-bars
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /100-percent-bars 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
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.
元数据
Slug 100-percent-bars
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

100 Percent Bars 是什么?

Compare composition across segments using 100% stacked bars. Use for competitive analysis, cost structure comparison, and portfolio composition. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 145 次。

如何安装 100 Percent Bars?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install 100-percent-bars」即可一键安装,无需额外配置。

100 Percent Bars 是免费的吗?

是的,100 Percent Bars 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

100 Percent Bars 支持哪些平台?

100 Percent Bars 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 100 Percent Bars?

由 linuszz(@linuszz)开发并维护,当前版本 v1.0.0。

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