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Pst converter

Skill nweii/convert-psts/pst_converter

Convert Microsoft Outlook Personal Storage Table (.pst) files into AI-friendly formats (Markdown, JSON, CSV). Use this skill to extract emails, metadata, and attachments from legacy email archives for analysis, context, or migration.From its SKILL.md

Install
npx -y skills add nweii/convert-psts --skill pst_converter

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SKILL.md

1.7 KB, 376 tokens by cl100k_base, as published. Nobody here has run it

PST Converter Skill

Description

This skill provides a tool to extract and format data from Outlook PST files. It is useful for:

  • Reading legacy email archives.
  • Converting PST content to Markdown for LLM context.
  • Extracting metadata for analysis (CSV/JSON).

Requirements

  • System: libpst must be installed.
    • macOS: brew install libpst
    • Linux: sudo apt-get install pst-utils
  • Python: Python 3.8+ (Standard library only).

Instructions

Run the cli.py script found in this directory.

Basic Syntax

python3 cli.py <path_to_pst_file> [options]

Options

  • -f, --format: Output format. Choices: markdown (default), json, csv, both (md+json), all.
  • --full: Include full email bodies (default is metadata-only).
  • --folders: Preserve original folder structure.
  • --include-threading: Include thread ID metadata.
  • -o, --output <dir>: Specify output directory (default: ./output).

Examples

1. Quick Summary (Metadata only)

Good for scanning an archive's contents.

python3 cli.py archive.pst

2. Prepare for LLM Context (Markdown)

Extracts full content into a readable Markdown format.

python3 cli.py archive.pst --full -f markdown

3. Data Analysis (JSON/CSV)

Extract structured data.

python3 cli.py archive.pst --full -f json

Troubleshooting

  • readpst not found: Install libpst via your system package manager.

What ships with it: 7 files

32.1 KB alongside SKILL.md, 7 of them executable

formatters/

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