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    Data Export, Portability & Reimport Readiness Review

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    Data Export, Portability & Reimport Readiness Review is a bounded ToolForge Labs workflow.

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    Data Export, Portability & Reimport Readiness Review

    Data Export, Portability & Reimport Readiness Review

    Example session with this skill installed

    We are redesigning a customer data export. Today it produces JSON plus attachments, but timestamps mix local time and UTC, some IDs are internal-only, and users cannot tell whether deleted records or permissions metadata are included. Review portability readiness.

    • Read your context and instructions
    • Compiled the data export portability

    The likely issue is a contract mismatch around data exports, portability packages, schema/version documentation, completeness, identifiers, timestamps, attachments, metadata, permissions, checksums, large-file handling, reimport feasibility, retention, and evidence. I would first define the invariant: A portability export is ready only when the user can trace what is included/excluded, validate integrity, understand identifiers/schema, and preserve the context needed for lawful transfer, archival use, or supported reimport. Then I would trace the smallest owning boundary, keep VERIFIED facts separate from LIKELY/UNKNOWN state, apply or propose the narrowest repair, and add deterministic normal, boundary, failure, retry/cancellation, and recovery tests. The workflow preserves authorization, privacy, security policy, public interfaces, user-visible behavior, and documented ownership. With repository/workspace access, findings can map to exact paths and focused local validation; with partial evidence, the result remains an explicit diagnosis/evidence map with no invented execution claims.

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

    About this skill

    Data Export, Portability & Reimport Readiness Review is a bounded ToolForge Labs workflow. Diagnose and repair data exports, portability packages, schema/version documentation, completeness, identifiers, timestamps, attachments, metadata, permissions, checksums, large-file handling, reimport feasibility, retention, and evidence. Works from repositories/workspaces or partial evidence. Produces bounded fixes and deterministic validation while preserving authorization, security, public interfaces, user-visible behavior, and documented ownership and avoiding invented execution claims. It works from a full repository/workspace or partial evidence such as snippets, logs, configuration, traces, documents, tickets, and architecture notes. The skill separates verified facts from assumptions, avoids invented execution claims, and produces concrete repair/review steps with focused deterministic validation or traceable evidence.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for LLM Ops.

    Does not access live production environments or execute real-time cloud data transfers. Limited to analyzing provided code, logs, or workspace files.

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    Permissions

    Terminal / Shell
    Read Files
    Write Files

    Use a clean branch or controlled review workspace. Supply repository/workspace files, logs, traces, configuration, documents, or evidence needed for the task. Review patches/findings before merge or operational action; keep production credentials and destructive production actions out of the workflow.

    Listed1 month ago
    Updated9 days ago

    What's inside

    Frequently Asked Questions

    This skill identifies and repairs common failure points in data exports, such as broken timestamps, missing metadata, and incomplete attachments, ensuring your portability packages are compliant and technically ready for reimport.

    It is highly flexible and can work with full codebase repositories, cloud workspaces, or partial evidence like logs, configuration snippets, and architecture documentation.

    Yes, the skill is designed to produce deterministic validation and repair steps while strictly preserving your existing security protocols, public interfaces, and user-visible behaviors.

    The skill is a bounded workflow compatible with most LLM-based development agents and ToolForge Labs environments; it integrates as a specialized diagnostic module for backend and compliance tasks.

    You receive the full diagnostic workflow, automated repair logic for schema and metadata issues, and a validation framework to verify export integrity and reimport feasibility.

    No, the skill is engineered to separate verified facts from assumptions, providing concrete evidence-based reports and avoiding any invented execution claims or 'hallucinated' data.

    New in LLM Ops