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    Interview Story Evidence Bank

    1

    Build a STAR story library, evidence gaps, follow-up questions and rehearsal plan from supplied information with evidence links, conflict handling and reusable quality gates.

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    See it in action

    You say

    Analyze my attached project notes and this Senior Dev Rel job description. Build a STAR library and identify where I lack evidence for the 'Community Growth' competency.

    Your agent does

    Evidence Ledger

    ID: S-001 | Item: Grew Discord to 5k | Source: [Notes p.2] | Status: Supported ID: G-002 | Item: Budget management | Source: None | Status: Missing

    STAR Story: Discord Scale

    Situation: Community stalled at 500 members... [cont.] Gap: Lacks specific budget data.

    What you get

    Generate a STAR story library indexed by verifiable source material.Identify and register evidence gaps for specific job competencies.Create a rehearsal plan based on identified narrative conflicts and unknowns.Maintain a stable ID-based ledger of career achievements for easy updates.

    About this skill

    Interview Story Evidence Bank turns messy jobs & careers material into a STAR story library, evidence gaps, follow-up questions and rehearsal plan. It preserves source evidence, missing facts and conflicts; returns stable registers that can be updated; and includes quality gates, failure handling and safe defaults. No paid API or external service is required. Target buyer: job seekers.

    How to install

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

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