solution-design_skill

Overview

This skill generates concrete solution options immediately when you already have a defined problem or root cause. It is implemented as a Python-driven workflow that must be invoked directly; the script orchestrates the entire solution-generation process. Do not run exploratory or diagnostic steps first—the script assumes the problem statement is ready and begins producing diverse solutions at once.

How this skill works

On activation you run the provided Python module in the designated working directory; the script executes a multi-step workflow that yields solution options from multiple reasoning perspectives. It does not perform problem discovery or root cause analysis. Each step in the workflow refines, expands, or ranks solution alternatives and outputs actionable options and trade-offs.

When to use it

• You have a clearly defined problem statement or identified root cause and need solution alternatives fast.
• Preparing a design review, decision memo, or options analysis for stakeholders.
• When you need multiple diverse approaches (technical, organizational, process) to compare trade-offs.
• When a scripted, repeatable solution-generation workflow is required for consistency.
• When you must avoid exploratory investigation and jump straight to proposed solutions.

Best practices

• Invoke the Python script immediately from the specified working directory; follow the script output exactly.
• Provide a concise, precise problem statement and any constraints before running the workflow.
• Use step and total-steps flags if the workflow supports staged execution to capture intermediate outputs.
• Capture and document the generated options and trade-offs for stakeholder review and iteration.
• Combine the script output with domain expertise to adapt solutions to local context.

Example use cases

• Generate alternative system architectures after a component failure root cause has been identified.
• Produce process and tooling changes once a recurring incident root cause is confirmed.
• Create multiple mitigation strategies for a security vulnerability with known attack vector.
• Produce options for capacity planning after a bottleneck root cause is found.
• Draft stakeholder-facing decision memos that compare solution trade-offs and implementation effort.