analyzing-workflows

Identify AI workflow opportunities by analyzing conversation history and memory context to surface automation candidates. The Skill scans inputs gathered during discovery interviews and process audits to produce a structured, prioritized opportunity report.

The best way to discover automation candidates is through interview and memory-scan driven discovery. This approach surfaces 3+ concrete workflow opportunities for automation, generating a structured workflow candidate list for subsequent deconstruction.

Yes, you can analyze organizational workflows for AI automation. The Skill is applicable to both personal and organizational workflows during process audits and discovery interviews to proactively identify improvement areas.

Generate a prioritized opportunity report by asking the user to describe a workflow and providing memory context. The Skill processes this input to output structured opportunity cards and a workflow candidate list for the Deconstruct step.

Analyzing workflows requires no specific dependencies or components. It functions independently to analyze memory and conversation history, immediately producing structured workflow candidates and opportunity cards.

You should not use AI workflow opportunity discovery when you lack conversation history or memory context. The Skill relies on input gathered from prior interactions or discovery interviews to surface and prioritize automation candidates accurately.