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    Reconcile Business Records And Results

    1

    Reconcile business records and outcomes across systems, teams, vendors, locations, and reporting periods.

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    Reconcile Business Records And Results

    Reconcile Business Records And Results

    Example session with this skill installed

    Shopify shows 500 orders, but Stripe only has 485 charges. The ERP has 490 invoices. I have the CSV exports for all three. Help me find the missing records and build a variance register.

    • Read your context and instructions
    • Compiled the reconcile business records

    1. Reconciliation Decision

    Decision: HOLD financial close.
    Current state: 15 missing charges and 10 missing invoices relative to orders.

    5. Variance Register

    VarianceClassificationAction
    15 Orders vs StripeMissing Target RecordMatch Order ID to Stripe Metadata
    10 Orders vs ERPUnposted TransactionCheck ERP batch processing log

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

    About this skill

    The problem

    Discrepancies between systems, vendors, and reports often result in aggregate adjustments that hide underlying operational risks. Relying on date and amount matching alone leads to unexplained variances, timing errors, and failed audits.

    What it does

    • Analyzes discrepancies between source systems, vendor statements, and physical counts to identify root causes.
    • Establishes authoritative data sources and stable business identifiers for one-to-one or many-to-many matching.
    • Builds an item-level variance register with clear ownership, classification, and required actions.
    • Converts manual reconciliation tasks into repeatable business controls with documented evidence and sign-off workflows.

    Why this beats prompting it yourself

    Generic prompts often attempt to force totals to match or suggest vague "data cleaning" steps. This skill enforces strict financial control logic, including cardinality checks, bridge populations, and segregation of duties, ensuring every material difference is evidenced rather than ignored.

    Use cases

    • Reconcile Shopify orders against Stripe settlements and ERP invoices.
    • Validate WMS book inventory against physical cycle counts and 3PL records.
    • Manage payment settlements, refunds, and chargeback bridges.
    • Verify data integrity during system migrations or parallel runs.

    Known limitations

    This tool is read-only and cannot post journal entries, modify source systems, or release payments. It requires structured source reports or data exports to function effectively.

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

    Read-only analysis. Cannot modify source systems or execute payments. Requires user-supplied report exports and definitions. Not a replacement for professional audit opinions.

    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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    Recently published to Agensi

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    Trust & safety

    Security scan

    Security scan passed 3 months ago

    Permissions

    Read Files

    Permissions are limited to the active local workspace and are used to inspect user-supplied or local workspace files. The skill package does not require bundled credentials, unrestricted external network access, or automatic production changes.

    Listed3 months ago
    Updated8 days ago

    What's inside

    Frequently Asked Questions

    This skill creates rigorous item-level variance registers that identify root causes for discrepancies, moving beyond simple total-matching to create auditable business controls.

    The skill requires structured data exports or reports from your source systems (e.g., ERP, WMS, or payment processors) to perform its analysis and build the reconciliation bridge.

    It is designed for any AI agent capable of processing structured data and following complex logic, though it is optimized for agents that support file uploads and multi-step reasoning.

    No, this is a read-only tool designed for analysis and audit evidence; it identifies discrepancies and suggests actions without directly altering your financial records or source systems.

    Your purchase includes the full skill configuration, documentation on how to input your data, and best practices for setting up the reconciliation workflows.

    Yes, updates to the skill logic are included with your purchase, ensuring the reconciliation controls stay current with evolving financial reporting standards.

    New in Business & Operations