workflow bottleneck finder

    1

    Diagnose operational constraints, map lead times, and prioritize workflow interventions using constraints-based logic.

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    workflow bottleneck finder

    Example session with this skill installed

    Map the 'Software Bug Fix' workflow. Symptoms: developers say they're waiting on specs, but QA is backed up. Steps: Triage, Dev, PR Review, QA, Deploy. PRs take 2 days, QA takes 3 days.

    • Read your context and instructions
    • Compiled the workflow bottleneck finder

    I have analyzed the 'Software Bug Fix' workflow. While QA has the longest active time, the primary controlling bottleneck is the PR Review step due to a high queue-to-active ratio and downstream impact on QA readiness.

    Workflow Bottleneck Analysis

    Step IDNameOwnerInput RequiredQueue WaitActive TimeLead TimeRework %
    S1TriagePMBug Report4h30m4.5h5%
    S2DevEngineerSpecs2h6h8h15%
    S3PR ReviewSenior EngPR Link48h [EST]1h49h20%
    S4QATesterBuild12h24h36h10%
    S5DeployDevOpsApproved Build1h30m1.5h2%

    Bottleneck Identification

    Primary Constraint: S3 (PR Review). Lead time is 49 hours. The queue-to-active ratio is 48:1. This is a scheduling bottleneck where work sits idle, causing "starvation" for the QA team who then receive items in large, unmanageable batches.
    2.

    Secondary Constraint: S4 (QA). Lead time is 36 hours. While the active time is high, the delay is exacerbated by S3's batching behavior.
    3.

    Hidden Rework: S2 (Dev). The 20% rework rate coming out of S3 suggests that 'waiting on specs' (S1 output) is causing poor initial code quality.

    Intervention Priority List

    InterventionImpactEffortRiskTotal ScorePriority
    Implement 'Review Buddies' (S3)5524.6High
    Standardize Spec Template (S1)4414.1High
    Automated Regression Suite (S4)5233.4Medium

    Action Plan: S3 Lead Time Reduction

    • Owner: Engineering Manager
    • Measure: PR Cycle Time (Lagging), Daily Review Count (Leading)
    • Baseline: 49 hours
    • Target: 12 hours (within 4 weeks)

    Validation Test: Compare S4 queue stability. If S3 lead time drops but S4 queue spikes, the bottleneck has successfully shifted to capacity.

    Next steps

    1. Validate the 48-hour PR wait time with actual GitHub metadata.
    2. Assign 'Review Buddies' to distribute the PR load away from Senior Engineers.
    3. Review the Triage spec template to reduce S2 rework.

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    About this skill

    The problem

    Operational delays and high rework rates are often treated by fixing symptoms rather than the actual constraint. Developers and managers frequently optimize individual steps without realizing they are just moving the bottleneck elsewhere in the system.

    What it does

    • Maps end-to-end workflows including queues, active work time, handoffs, and approval gates.
    • Identifies the controlling constraint by calculating lead times and queue-to-active work ratios.
    • Distinguishes between superficial symptoms and root causes, tracing issues upstream to missing inputs.
    • Scores interventions using a weighted priority matrix based on impact, effort, and implementation risk.
    • Generates actionable improvement plans with owners, KPIs, and validation tests to ensure the bottleneck actually shifts.

    Why this beats prompting it yourself

    Generic prompts often miss the nuances of queue theory and rework loops, leading to shallow "work harder" advice. This skill applies specific constraints-based logic to differentiate between scheduling issues and capacity limits, ensuring you don't waste resources optimizing the wrong step.

    Use cases

    • Diagnosing delays in software release cycles or CI/CD pipelines.
    • Identifying friction points in client onboarding or support ticketing flows.
    • Optimizing manufacturing or order fulfillment processes with high rework rates.
    • Audit-ready mapping of complex approval workflows and cross-departmental handoffs.

    Requires estimated or logged data for queue and active times. Cannot automatically pull data from external APIs without user-provided logs or exports.

    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

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    3. 3

      Ask for what you need

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    What's inside

    Frequently Asked Questions

    The skill uses constraints-based logic and queue theory to pinpoint the single 'controlling constraint' in a process, rather than just identifying general delays. It differentiates between simple capacity limits and complex rework loops that generic prompts often overlook.

    You will receive the pre-configured workflow diagnostic logic, a structured data intake template, and a guide on how to interpret the intervention priority matrix. It includes everything needed to start mapping lead times and identifying bottlenecks immediately.

    This skill is designed for compatibility with major LLMs including GPT-4, Claude 3, and Gemini Pro. It can be integrated into most agentic frameworks or used as a standalone diagnostic tool within your preferred AI interface.

    Yes, it is highly effective for cross-functional workflows. The skill specifically maps handoffs and approval gates between departments to reveal where communication gaps or 'waiting-for-input' states are stalling the overall lead time.

    Setup is straightforward: you simply import the skill into your AI agent and provide your workflow data—such as step durations and queue times—using the provided template. No advanced programming or Six Sigma certification is required to get started.

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