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    Shift Handover Bottleneck Auditor

    1

    Transforms raw shift logs and downtime data into structured handover briefs, quality audits, and bottleneck analyses.

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    Shift Handover Bottleneck Auditor

    Shift Handover Bottleneck Auditor

    Example session with this skill installed

    Here are the logs from the last 3 shifts on Line 4. The night shift had a major stop on the packer. Give me a handover brief for the incoming morning shift and identify any bottlenecks.

    • Read your context and instructions
    • Compiled the shift handover bottleneck

    I have analyzed the 24-hour log period for Line 4 across three shifts (Morning, Afternoon, Night). The data indicates a significant throughput loss centered on the packaging stage during the Night shift.

    Executive Summary

    Line 4 experienced 140 minutes of total downtime, with 70% occurring on the Night shift. The primary constraint is the Case Packer (Asset PK-402). A critical safety alert regarding a bypassed interlock requires immediate resolution before the next full-speed run.

    Safety & Critical Alerts

    Bypassed Interlock: Night shift reported the safety gate sensor on PK-402 was flickering and was temporarily bypassed to complete the run.

    Action: Maintenance must replace the sensor before 09:00. Do not operate without a physical spotter until fixed.

    Handover Brief: Incoming Morning Shift

    • Priority 1: Resolve PK-402 sensor fault. (Maintenance / 09:00) - Prevents safety violation and stop-start losses.

    Priority 2: Clear backlog of unboxed units from the cooling tunnel. (Operators / Immediate) - Tunnel is currently at 95% capacity.

    • Priority 3: Validate Glue Batch #992. (QC Lead / 10:30) - Afternoon shift reported poor adhesion.

    Bottleneck Audit Findings

    AssetTotal DowntimeLoss TypeEvidence
    PK-402 (Packer)98 minMechanical / SafetyLog entry 02:15: "Gate sensor failure."
    CT-101 (Tunnel)22 minBlockedStarved by downstream packer failure.
    Labeler12 minChangeoverScheduled film swap.

    Handover Window Analysis: 45 minutes (32% of total downtime) occurred within the ±45-minute shift change window, primarily due to delayed start-up communication between Afternoon and Night shifts.

    Recommended Actions

    • Repair PK-402 Sensor: Replace inductive proximity switch. (Maintenance, Today 09:00)

    Standardize Line Clearance: Implement a visual checklist for the packer-to-labeler transition. (Shift Lead, Friday)

    Log Automation: Move from free-text notes to a structured pick-list for downtime codes to improve Pareto accuracy. (Ops Manager, End of Month)

    Next steps

    1. Tag Maintenance in the CMMS for the PK-402 sensor replacement.
    2. Conduct a 5-minute toolbox talk with Line 4 operators on the cooling tunnel backlog.
    3. Review the "Information Confidence" section for unverified Night shift claims regarding glue quality.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Shift changes in high-stakes environments like factories, hotels, and facilities are often where information is lost, safety risks go unnoticed, and production throughput drops. This skill transforms messy, unstructured shift logs and downtime records into rigorous handover briefs and bottleneck audits. It stops the reliance on verbal hearsay by enforcing a structured, evidence-based reporting standard that prioritizes safety and actionable tasks for the incoming shift.

    What it does

    • Standardizes handovers by generating concise, role-based briefs that highlight safety alerts and top priorities.
    • Audits log quality using a 100-point rubric to identify information-loss risks and systemic reporting gaps.
    • Identifies bottlenecks by analyzing downtime data to find the true constraint using Theory of Constraints and OEE principles.
    • Analyzes shift boundaries to quantify how much time and money is lost specifically during the ±45-minute handover window.
    • Designs automation blueprints for structured data capture across CMMS, MES, and spreadsheet tools.

    How it works

    1. Intake and normalization where you provide raw text logs, CSVs, or incident reports for the skill to categorize and time-stamp.
    2. Context detection where the agent identifies your industry profile (manufacturing, hospitality, or facilities) to load relevant checklists.
    3. Mode selection where you choose between a Handover Brief, Quality Audit, Bottleneck Analysis, or Automation Blueprint.
    4. Root cause analysis using 5-Whys logic to move from symptoms to system-level recommendations.

    Frameworks & tools

    This skill utilizes Theory of Constraints (TOC), Lean manufacturing, OEE (Overall Equipment Effectiveness), and 5-Whys root cause analysis. It can leverage Python scripts for Pareto calculations and integrates conceptually with CMMS, MES, and SCADA systems.

    Why this beats prompting it yourself

    Generic prompts often overlook the "Safety First" escalation required in industrial settings and fail to distinguish between facts, inferences, and recommendations. This skill applies a specific operations excellence methodology that prevents "blame culture" by focusing on roles and system causes while enforcing strict industry-standard taxonomies for loss and downtime.

    Use cases

    • Factory Floor Handovers to ensure the incoming lead knows exactly which machine is degraded and why.
    • Hotel Operations Audits to track recurring guest-impact issues that persist across front-desk shifts.
    • Maintenance Planning to identify which assets are causing the most downtime and require immediate PM.
    • Operations Standardization to replace varied free-text notes with a consistent, automated reporting workflow.

    Known limitations

    Does not authorize safety overrides or legal determinations. Requires accurate time-stamped inputs for bottleneck confidence; results for sparse data will be limited to brief generation and logging advice.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Agents & Orchestration.

    Requires time-stamped logs for bottleneck analysis. Cannot authorize safety overrides or make HR/legal determinations. Accuracy depends on the quality of raw input logs.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

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    Software
    Python

    Permissions

    Terminal / Shell
    Read Files
    Network Access
    Listed15 days ago

    What's inside

    Frequently Asked Questions

    The skill is designed to be model-agnostic and works with any agent platform that supports text and file uploads (CSV/PDF/XLSX), such as ChatGPT, Claude, or custom enterprise LLM interfaces.

    You will receive the logic-driven skill definition, a standardized 100-point log quality rubric, industry-specific audit templates (Manufacturing, Hospitality, Facilities), and Python-based calculation logic for OEE and bottleneck analysis.

    No complex coding is required; simply import the skill into your preferred AI agent and follow the 'Intake and Normalization' step by uploading your raw logs or spreadsheet data.

    While the skill can process unstructured text, it requires time-stamped entries to perform accurate bottleneck and shift-boundary analysis; without timestamps, the skill defaults to qualitative brief generation and log quality auditing.

    Unlike generic prompts, this skill enforces a 'Safety First' escalation hierarchy and uses specific operations frameworks like the Theory of Constraints to ensure recommendations are rooted in system efficiency rather than individual blame.

    Yes, the purchase includes access to periodic updates that refine the audit rubrics and update the 5-Whys logic based on evolving Lean and OEE industry standards.

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