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# Skill: Structured Financial JSON Generation from Portfolio Data

## When to Use

Use this skill when given a prompt and one or more JSON payload files that describe a portfolio management, risk analysis, or performance attribution task, and you must produce a structured JSON answer conforming to a strict schema template.

## Overview

These tasks require reading financial data from a request JSON, performing precise quantitative calculations, and emitting a response JSON that exactly matches a provided schema template. The schema defines required top-level keys, field types, enum values, ordering rules, and numeric precision. Errors in calculation, field ordering, or enum values will cause rejection.

## Step-by-Step Procedure

### 1. Read All Input Files

Read the `prompt.txt`, the request JSON (e.g., `desk_request.json`, `review_request.json`, `allocation_request.json`, `risk_meeting_memo.json`, `committee_request.json`), and the `answer_template.json`. Do not skip any file — the prompt may contain critical context (e.g., benchmark definitions, lookback periods, calculation conventions) not repeated in the JSON.
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