multi-format-csv-parser-with-deduplication
Parse brokerage CSV exports that exist in multiple formats with overlapping data across files
Best use case
multi-format-csv-parser-with-deduplication is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Parse brokerage CSV exports that exist in multiple formats with overlapping data across files
Teams using multi-format-csv-parser-with-deduplication should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/multi-format-csv-parser-with-deduplication/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How multi-format-csv-parser-with-deduplication Compares
| Feature / Agent | multi-format-csv-parser-with-deduplication | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Parse brokerage CSV exports that exist in multiple formats with overlapping data across files
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Multi-Format CSV Parser with Deduplication When ingesting brokerage data across multiple files or format versions, first map all edge cases (header variations, footer disclaimers, BOM markers). Auto-detect format from header row. Strip footers and BOM before parsing. Build a deduplication key (e.g., date + ticker + quantity + price) to merge overlapping transaction rows across files. Validate final dataset against user-stated holdings to catch parsing errors early.
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