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Accounting Finance System Research Skill

by @chipmunkrpa

Research and solve "how do I do this?" questions inside accounting and finance software systems (ERP, GL, AP/AR, billing, close, and reporting tools). Use wh...

Versionv1.0.0
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clawhub install accounting-finance-system-skill

πŸ“– About This Skill


name: accounting-finance-system-research description: Research and solve "how do I do this?" questions inside accounting and finance software systems (ERP, GL, AP/AR, billing, close, and reporting tools). Use when a user needs operational steps, setup guidance, or troubleshooting help in a specific system and wants the result documented as a quick memo or simple Q-and-A DOCX.

Accounting And Finance System Research

Overview

Follow a fixed process for system-how-to support: collect facts, ask clarifying questions, confirm output format, confirm understanding, research external guidance, analyze the best path, and generate a DOCX deliverable.

Required Behavior

  • Ask clarifying questions before proposing a solution.
  • Confirm whether output should be quick memo or simple q-and-a.
  • Restate understanding and wait for confirmation before web research.
  • Research the internet after confirmation, prioritizing official vendor guidance.
  • Separate source-backed guidance from assumptions or inference.
  • Include source links and accessed dates in the deliverable.
  • Generate a DOCX report in the user-selected format.
  • Workflow

    1) Intake And Scope

  • Capture the user objective in one sentence.
  • Confirm system name and version/edition (for example: NetSuite, SAP S/4HANA Cloud, Dynamics 365 Finance, QuickBooks).
  • Confirm module or workflow area (for example: AP, AR, close, reconciliations, reporting).
  • Confirm role/permission constraints and any deadline pressure.
  • 2) Clarification Questions (Mandatory)

  • Use references/clarification-question-bank.md.
  • Ask only missing critical questions; avoid redundant prompts.
  • Pause solutioning until enough facts are available.
  • If facts remain unknown, continue with explicit assumptions and conditional guidance.
  • 3) Output Format Confirmation (Mandatory)

  • Ask the user to choose one:
  • quick memo: concise professional summary with recommendation and steps.
  • simple q-and-a: direct answer format with numbered actions.
  • Default to quick memo only when user gives no preference.
  • 4) Understanding Confirmation (Mandatory)

  • Restate:
  • problem statement
  • system context
  • open questions or assumptions
  • chosen output format
  • Ask for explicit confirmation before researching.
  • 5) Research External Guidance

  • Follow source ranking in references/source-priority.md.
  • Gather at least two relevant sources where possible.
  • Include at least one official vendor source when available.
  • Track per-source metadata: title, publisher, URL, updated/published date if available, accessed date.
  • Prefer current version-specific guidance over older generic content.
  • 6) Analyze And Build Recommendations

  • Translate research into concrete user actions.
  • Provide prerequisites and permissions needed for each action.
  • Add fallback steps when primary path is blocked.
  • Include validation checks to confirm completion.
  • Call out risks and unresolved dependencies.
  • 7) Generate DOCX Deliverable

  • Build JSON input using references/report-json-schema.md.
  • Run:
  • python scripts/build_system_guidance_docx.py \
      --input-json  \
      --output-docx  \
      --format 
    

  • Map quick memo to memo.
  • Map simple q-and-a to q-and-a.
  • Confirm the document includes:
  • request summary and system context
  • clarifications and assumptions
  • guidance sources with URLs
  • recommended steps
  • validation checks
  • risks and open items
  • 8) Quality Check

  • Verify recommendations are consistent with cited guidance.
  • Verify assumptions are explicit and easy to review.
  • Verify deliverable format matches user request.
  • Verify every source has a URL and accessed date.
  • Verify output file is .docx and readable.
  • Resources

  • Clarification checklist: references/clarification-question-bank.md
  • Source hierarchy: references/source-priority.md
  • Report JSON schema: references/report-json-schema.md
  • Example report payload: references/example_report_input.json
  • DOCX generator: scripts/build_system_guidance_docx.py
  • Dependency

    Install once if needed:

    python -m pip install --user python-docx