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    lss-tools

    by Perry

    Expert Lean Six Sigma guidance, statistical formulas, and operational tools for industrial-grade process improvement.

    Updated May 2026
    2 installs
    98 views

    Free

    One-time purchase · Own forever

    ⚡ Also available via Agensi MCP — your AI agent can load this skill on demand via MCP. Learn more →

    Included in download

    • Downloadable skill package
    • Works with Claude Code, GitHub Copilot
    • Instant install

    See it in action

    ### Process Capability Report
    - Cpk: 0.82 (Action Required: Non-capable)
    - Cp-Cpk Gap: 0.51 (Large mean shift detected)
    - Sigma Level: 2.46
    - Est. Yield: 94.1%
    - Recommendation: Perform machine centering adjustment and investigate tool wear on the LSL boundary.

    About This Skill

    Master Lean Six Sigma with MBB-Level Precision

    Transform your AI agent into a Master Black Belt (MBB) consultant. This skill provides technically defensible, operationally actionable guidance across the entire Lean Six Sigma (LSS) toolkit. It moves beyond generic advice to provide exact formulas, specific thresholds, and rigorous interpretation criteria for process improvement.

    What it does

    • Statistical Rigor: Calculates and interprets technical metrics including Process Capability (Cp/Cpk, Pp/Ppk), Gage R&R, and OEE.
    • Waste Identification: Executes structured audits using TIMWOODS/DOWNTIME frameworks to quantify non-value-add activities.
    • Root Cause Analysis: Facilitates deep-dives using 5 Whys, Ishikawa diagrams, and FMEA with standardized RPN scoring.
    • Operational Excellence: Guides the implementation of 5S, Kanban, SMED, and Takt Time synchronization.
    • Governance: Differentiates between Green Belt and Black Belt depth requirements to ensure proper project escalation.

    Why use this skill

    Standard AI prompts often hallucinate statistical formulas or offer vague "Lean" advice. This skill ensures your agent uses the Western Electric Rules for SPC charts, applies the correct Anderson-Darling tests for normality, and follows structured Gemba Walk protocols. Whether you are conducting a VSM or designing a DOE, you get industry-standard methodology every time.

    Output format

    Expect structured reports featuring data tables, severity calibrations, step-by-step implementation roadmaps, and prioritized action plans based on RPN or impact-effort matrices.

    📖 Learn more: Best Testing & QA Skills for Claude Code →

    Use Cases

    • Calculate sample sizes and p-values for rigorous hypothesis testing
    • Evaluate process stability using industry-standard control chart rules
    • Analyze Gage R&R data to validate measurement system precision
    • Identify waste and bottlenecks through value stream mapping analysis

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    Claude Code, GitHub Copilot, Cursor, Windsurf, and other SKILL.md-compatible agents.

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