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    Project Failure Pre-Mortem Analyst

    1

    Find how a project is most likely to fail before failure becomes expensive.

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    See it in action

    You say

    Run a pre-mortem on our migration from a legacy monolith to a microservices architecture. We have 3 backend devs, a 6-month timeline, and must maintain 99.9% uptime during the transition.

    Your agent does

    Failure Path: The 99.9% uptime requirement forces a "shadow" maintenance period where the 3-man team is split between legacy bug-fixes and new builds, leading to burnout and 20% slippage per month. Warning Signal: Devs report >10 hours/week on legacy support. Action: Hire a temp ops contractor.

    What you get

    Identify single points of failure in technical and operational roadmaps.Establish early warning signals for project delays before they happen.Define objective kill criteria for high-risk experimental initiatives.Expose hidden burdens on key personnel that lead to systemic burnout.

    About this skill

    The problem

    Projects often appear healthy until hidden dependencies, overloaded people, unrealistic timelines, weak assumptions, or delayed bad news finally become visible. By then, correction is expensive.

    What it does

    • Assumes the project has failed and works backward to identify the most plausible failure paths.
    • Surfaces fragile assumptions, single points of failure, hidden dependencies, and coordination risks.
    • Traces where project stability depends on one person carrying excessive work or responsibility.
    • Checks timelines, budgets, capacity, external dependencies, and misleading success metrics.
    • Identifies early warning signals before the final failure becomes visible.
    • Defines correction actions, escalation thresholds, and conditions where the project should be reduced, redesigned, paused, or stopped.

    Why use this skill

    Generic risk analysis can easily become a long list of everything that could possibly go wrong. This skill focuses instead on the few failure modes that are plausible, consequential, difficult to detect early, and poorly handled by the current plan.

    Use cases

    • Pressure-testing a product launch before committing major resources.
    • Auditing a campaign, implementation, event, software project, or operational change.
    • Finding hidden workload and single points of failure inside a team.
    • Identifying warning signals and escalation thresholds before a deadline is missed.
    • Deciding what conditions should trigger scope reduction, delay, redesign, or cancellation.

    Known limitations

    A pre-mortem cannot predict every failure. Its quality depends on the project information provided. Technical, legal, safety, financial, or regulated risks may require specialist review in addition to this analysis.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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