Step 1 — Run this first
Puts you in the right folder. Then every command below works as-is.
$
cd ~/Desktop/desktop/scripts\ 2026
sfib-analyzerv2.14
sfib-opspandas
Seed inventory analysis. Classifies ShipStation line items by SKU, outputs unit counts + lbs by mix × container type.
$python3 SFinBloom-Toolkit/sfib-analyzer-2.14.py
+csvpython3 SFinBloom-Toolkit/sfib-analyzer-2.14.py path/to/orders.csv
sfib-revenuev1.0
sfib-opsstdlib
Gross revenue report — mix rows × container columns with $ per cell. Catalog list price × units.
$python3 SFinBloom-Toolkit/sfib-revenue-1.0.py
batchpython3 SFinBloom-Toolkit/sfib-revenue-1.0.py --batch 12118 12673
sfib-auditunversioned
sfib-ops
Traceability tool — takes debug CSV from analyzer, emits per-cell order lists for reconciliation.
$python3 SFinBloom-Toolkit/sfib-audit.py
sfib_batcherv1.0
sfib-opskeychain
Auto-batcher — two-pass (cost/volume + interval), macOS keychain auth. Dry-run by default.
$python3 Batch\ API/sfib_batcher_1.0.py
sfib_splitsingle
sfib-ops
Simple CSV splitter for ShipStation order exports.
$python3 Batch\ Split/sfib_split.py
winventoryv0.0.4
sfib-opsprototype
Inventory management scripts. Early development.
$python3 Winventory\ 2026/winventory-0.0.4.py
yt_transcriptv3.0
youtubeyt-dlp
Download any YouTube transcript. Prompts for URL, saves as .md or .txt with video title as filename.
$python3 001\ Active\ Scripts/yt_transcript.py
Deps:youtube-transcript-apiyt-dlp
summarize_transcriptv3.0
youtubeopenai key
Transcript → GPT-4o → structured markdown: summary, tweet, key takeaways, facts, themes, full transcript.
$python3 001\ Active\ Scripts/summarize_transcript.py
Deps:openaiyoutube-transcript-apiKeychain: OPENAI_API_KEY
framework_processorv3.0
youtubeopenai key
7-step growth framework analysis via GPT-4o. Outputs strategic action items as markdown.
$python3 001\ Active\ Scripts/actionable_framework_processor.py
Deps:openaiyoutube-transcript-apiKeychain: OPENAI_API_KEY