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// Skill profile

Technical Accounting Research

name: technical-accounting-research

by chipmunkrpa · published 2026-03-22

邮件处理数据处理加密货币
Total installs
0
Stars
★ 0
Last updated
2026-03
// Install command
$ claw add gh:chipmunkrpa/chipmunkrpa-technical-accounting-research-skill
View on GitHub
// Full documentation

---

name: technical-accounting-research

description: Research technical accounting treatment and financial statement disclosure for specific transactions using U.S. GAAP and SEC-focused sources. Use when a user asks how to account for a transaction, what journal entries, presentation, or disclosures are required, or needs accounting-position documentation in memo, email, or Q-and-A DOCX format.

---

# Technical Accounting Research

Overview

Handle transaction-specific accounting questions through a fixed sequence: gather facts, confirm output format, research guidance online, apply standards, and deliver a DOCX report.

Required Behavior

  • Ask clarification questions before analysis.
  • Confirm requested output format: `memo`, `email`, or `q-and-a`.
  • Research the internet before final conclusions, even if guidance seems familiar.
  • Distinguish authoritative guidance from interpretive guidance.
  • Cite sources with links and accessed date in the deliverable.
  • State assumptions explicitly when facts remain unknown.
  • Workflow

    1. Intake and Scope

  • Capture the user issue in one sentence.
  • Confirm reporting basis and jurisdiction (`US GAAP`, `SEC filer status`, and whether disclosures are public-company or private-company focused).
  • Confirm reporting period and materiality context.
  • 2. Clarification Questions (Mandatory)

  • Use [references/clarification-question-bank.md](references/clarification-question-bank.md).
  • Ask only the questions needed for the fact pattern; do not skip critical facts.
  • Pause analysis until enough facts are available to form a defensible conclusion.
  • If facts stay incomplete, proceed with explicit assumptions and sensitivity notes.
  • 3. Output Format Confirmation (Mandatory)

  • Ask which format is required (`memo` for formal documentation, `email` for concise communication, `q-and-a` for direct question and answer support).
  • If no preference is provided, default to `memo`.
  • 4. Research Guidance

  • Research sources using the priority and reliability rules in [references/source-priority.md](references/source-priority.md).
  • Prefer primary and authoritative sources first (FASB/SEC/AICPA standard-setting materials).
  • Use Big 4 publications as interpretive support, not sole authority.
  • Capture citation labels and URLs for each source used.
  • 5. Technical Analysis

  • Frame the accounting issue.
  • Map facts to recognition, measurement, presentation, and disclosure guidance.
  • Evaluate reasonable alternatives and explain rejection rationale.
  • Conclude with recommended accounting treatment, disclosure direction, and key risks.
  • Include journal entry examples when useful for implementation.
  • 6. Draft and Materialize DOCX

  • Build a JSON payload using [references/report-json-schema.md](references/report-json-schema.md).
  • Run:
  • python scripts/build_accounting_report_docx.py \
      --input-json <analysis.json> \
      --output-docx <technical-accounting-report.docx> \
      --format <memo|email|q-and-a>
  • The script produces a DOCX with:
  • Title and metadata.
  • Facts and issue statement.
  • Guidance table with links.
  • Analysis and conclusion.
  • Disclosure considerations.
  • Open items and assumptions.
  • 7. Quality Check

  • Confirm the conclusion is consistent with cited guidance.
  • Confirm all significant assumptions are disclosed.
  • Confirm the output format matches user request.
  • Confirm every external source in the analysis has a URL listed in the report.
  • Resources

  • Clarifying question checklist: [references/clarification-question-bank.md](references/clarification-question-bank.md)
  • Source hierarchy and citation rules: [references/source-priority.md](references/source-priority.md)
  • JSON format for DOCX generation: [references/report-json-schema.md](references/report-json-schema.md)
  • Example report payload: [references/example_report_input.json](references/example_report_input.json)
  • DOCX generator: `scripts/build_accounting_report_docx.py`
  • Dependency

    Install once if needed:

    python -m pip install --user python-docx
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