proposal-comparator

What This Skill Does

The proposal-comparator skill acts as an intelligent, neutral arbiter for complex decision-making processes. It is designed to ingest multiple competing project proposals, technical documents, or business strategies and perform a rigorous, structured comparison. Beyond simple text analysis, it evaluates proposals against user-defined constraints, identifying subtle differences, hidden operational costs, and potential risks that might otherwise go unnoticed. Its primary output provides a clear, structured analytical framework that helps stakeholders make data-driven, defensible decisions.

Installation

To install this skill, run the following command in your terminal: clawhub install openclaw/skills/skills/52yuanchangxing/proposal-comparator

Use Cases

• Strategic Sourcing: Comparing vendor bids against technical requirements and budget constraints.
• Architecture Review: Evaluating multiple infrastructure design options to identify performance bottlenecks or high-cost dependencies.
• Project Selection: Assessing various internal initiative proposals to prioritize resource allocation based on risk and ROI.
• Feasibility Analysis: Running a 'dry-run' check on proposed system changes to highlight potential compliance or architectural conflicts.

Example Prompts

1. "Here are the AWS and GCP migration proposals. Compare their projected costs for our specific workload volume, identify any hidden maintenance labor, and tell me which one aligns better with our 2025 security compliance roadmap."
2. "Review these three software architecture designs for our microservices rewrite. Create a table comparing latency, scalability, and development effort. Highlight any single points of failure in each."
3. "I have two vendor quotes for our office renovation. One is cheaper but uses different materials. Compare them using the constraints in my attached CSV file, list the risks, and provide a recommendation without ignoring the delivery deadline constraint."

Tips & Limitations

• Tip: Always provide your evaluation criteria or 'success metrics' alongside the documents. The skill performs significantly better when it knows exactly how you value success.
• Tip: Use the 'dry-run' output style when you need to propose changes to external systems; the skill is designed to prioritize auditability and human oversight.
• Limitation: The skill strictly prohibits the fabrication of data. If the input documents lack specific information, the skill is programmed to flag these as 'pending information' rather than guessing.
• Limitation: It is not a tool for automated system reconfiguration; it is an analysis and decision-support assistant. Always verify recommendations against your internal compliance policies.