# Instrument Data Allotrope Workflow Overview

> Sub-skill of instrument-data-allotrope: Workflow Overview.

- Skill: `vamseeachanta/instrument-data-allotrope-workflow-overview` (Agent Skill)
- Install (CLI): `npx skillmds@latest add vamseeachanta/instrument-data-allotrope-workflow-overview`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vamseeachanta/instrument-data-allotrope-workflow-overview/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: vamseeachanta (https://skillmd.com/u/vamseeachanta)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/vamseeachanta/instrument-data-allotrope-workflow-overview

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# Workflow Overview

## Workflow Overview


1. **Detect instrument type** from file contents (auto-detect or user-specified)
2. **Parse file** using allotropy library (native) or flexible fallback parser
3. **Generate outputs**:
   - ASM JSON (full semantic structure)
   - Flattened CSV (2D tabular format)
   - Python parser code (for data engineer handoff)
4. **Deliver** files with summary and usage instructions

> **When Uncertain:** If you're unsure how to map a field to ASM (e.g., is this raw data or calculated? device setting or environmental condition?), ask the user for clarification. Refer to `references/field_classification_guide.md` for guidance, but when ambiguity remains, confirm with the user rather than guessing.