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Install in OpenClaw
/install weighted-column
Description
Compare profitability and market share using variable-width column charts. Use for competitive positioning, product portfolio analysis, and pricing strategy.
Usage Guidance
This skill is coherent and low-risk: it only contains high-level instructions for creating and interpreting weighted-column charts and requests nothing sensitive. Before using, provide the specific dataset you want analyzed (revenue, margins, market share) and avoid pasting any sensitive or proprietary credentials into prompts. Because the instructions are general, confirm what data sources the agent will use (manual upload vs. connected services) so it doesn't attempt to pull unspecified data from other connectors. If you need code or automated chart generation, prefer a skill that includes audited code or an install spec from a trusted source.
Capability Analysis
Type: OpenClaw Skill
Name: weighted-column
Version: 1.0.0
The skill bundle contains only metadata and markdown instructions (SKILL.md) for performing business analysis and generating weighted column charts. There is no executable code, no network activity, and no evidence of malicious prompt injection or data exfiltration attempts.
Capability Assessment
Purpose & Capability
Name and description match the SKILL.md content: guidance for creating weighted/variable-width column charts and strategic analysis. The skill requests no binaries, env vars, or configs that would be unrelated to charting/analysis.
Instruction Scope
The instructions are high-level and describe the expected steps (define axes, gather data, calculate metrics, create chart, analyze). They do not instruct the agent to read system files, environment secrets, or call unexpected endpoints, but 'gather data' is deliberately vague — the agent will need to rely on the user's provided data or its existing connectors.
Install Mechanism
No install spec or code files are provided (instruction-only). Nothing will be written to disk or fetched at install time, minimizing installation risk.
Credentials
The skill declares no environment variables, credentials, or config paths. No disproportionate access to secrets or unrelated services is requested.
Persistence & Privilege
Skill is not always-enabled and is user-invocable. Model invocation is allowed (the platform default) but there is no indication the skill requires permanent or elevated privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install weighted-column - After installation, invoke the skill by name or use
/weighted-column - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of the weighted-column skill:
- Provides instructions and framework for creating variable-width column charts to analyze profitability and market share.
- Supports use cases including competitive positioning, product portfolio analysis, and pricing strategy.
- Offers output templates for company positioning matrices, margin analysis, and strategic implications.
- Includes guidelines for chart axes, data gathering, and visual best practices.
- Contains references for further reading on competitive and portfolio analysis.
Metadata
Frequently Asked Questions
What is Weighted Column?
Compare profitability and market share using variable-width column charts. Use for competitive positioning, product portfolio analysis, and pricing strategy. It is an AI Agent Skill for Claude Code / OpenClaw, with 142 downloads so far.
How do I install Weighted Column?
Run "/install weighted-column" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Weighted Column free?
Yes, Weighted Column is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Weighted Column support?
Weighted Column is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Weighted Column?
It is built and maintained by linuszz (@linuszz); the current version is v1.0.0.
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