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drewvogg/cooper-ai_demo

MVP for a Claude Skill that ingests uploaded artifacts about an account for a fictional mid-market commercial P&C brokerage, and produces a filled-out insurance form

Python MIT GitHub ↗
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SUMMARY AI要約 by gpt-5-mini

ACORDingly is a small deterministic Claude Skill MVP for mid-market commercial P&C brokerages. It ingests AMS-style CSV exports (one account) and optional target-market CSVs and produces, per account/carrier: a filled ACORD 125 PDF (requires a local licensed AcroForm template), a markdown review report that flags blocking vs recommended missing fields, and a machine-readable JSON payload suitable for a production form renderer. Intended users are retail commercial P&C producers and CSRs preparing submission drafts from AMS exports. Key features: code-based CSV→normalized schema parsing, explicit validation rules (blocking vs recommended), a form-specific mapper that writes AcroForm fields, deterministic PDF rendering when a template is provided, and an inspectable output package (form_payload.json, review_report.md, official_acord125.pdf). The output is a human-reviewable draft, not an auto-submission.

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🤖 LLMモデル (1)
Claude

使用言語(バイト数比)

Python
100%

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drewvogg
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日付

GitHub作成日 2026-05-15
最終Push 2026-05-15
当サイト初検出 2026-05-15
最終取得 2026-05-16 18:19

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