Lss Methodologies

Expert guidance for selecting and executing Lean Six Sigma methodologies from DMAIC to DFSS and Hoshin Kanri.

Install
cmdop skills install agensi-lss-methodologies

LSS Methodologies is a skill that acts as a structured advisory layer for Lean Six Sigma deployments. Rather than returning generic definitions, it analyzes a described problem and recommends the appropriate framework from among DMAIC (for improving existing processes), DMADV/DFSS (for designing new processes or products), Kaizen (for rapid, focused improvement events), and Theory of Constraints (for identifying and resolving systemic bottlenecks).

Once a methodology is selected, the skill provides tollgate criteria and pass/fail metrics for each phase gate—from Define through Control in DMAIC, or from Define through Verify in DMADV. It surfaces execution risks such as measurement system inadequacy (Gage R&R failures) and control plan abandonment, giving project leads concrete checkpoints before moving between phases.

For strategic alignment, the skill applies Hoshin Kanri and X-Matrix logic to connect project-level work to enterprise KPIs. It differentiates between Green Belt, Black Belt, and Master Black Belt scope, so agents can calibrate the depth of analysis and escalation triggers appropriately.

Statistical guardrails—Cpk and DPMO targets—are part of the output, giving operational excellence teams specific numerical thresholds rather than qualitative advice. This makes the skill most useful during project scoping and phase reviews, not as a real-time data analysis engine. It has no access to external databases or live process data; all reasoning is based on the problem description provided in the prompt.

Use cases

  • Determine whether a quality problem calls for DMAIC or DMADV before starting a project charter
  • Get tollgate pass/fail criteria for each DMAIC phase during a project review
  • Identify Gage R&R or control plan risks before a project moves to the Control phase
  • Align a process improvement initiative to enterprise KPIs using Hoshin Kanri X-Matrix logic
  • Distinguish between Green Belt and Black Belt project scope when assigning team resources
  • Identify systemic bottlenecks that warrant a Theory of Constraints approach instead of DMAIC

When to use it

  • Scoping a new process improvement project and unsure which LSS methodology fits
  • Preparing for a phase gate review and needing structured tollgate criteria
  • Evaluating whether a problem is a bottleneck issue (TOC) versus a variation issue (DMAIC)
  • Connecting project-level metrics to strategic enterprise KPIs via Hoshin Kanri

When not to use it

  • Live statistical analysis of process data—the skill has no data ingestion capability
  • Automated monitoring or alerting on production process metrics
  • Projects outside Lean Six Sigma or operational excellence frameworks
  • When a full statistical software environment with data integration is required for hypothesis testing