oil-gas-tutorial-srt-summary

Name: oil-gas-tutorial-srt-summary
Availability: InStock
Author: zlovexforever

Convert ASR SRT subtitles into structured Markdown study notes.

Updated Mar 16, 2026

Search Tags:#markdown #batch processing #srt #workflow extraction #subtitle summarization #oil and gas training #parameter notes

Ready to run

npx skills add https://github.com/zlovexforever/zlx-claude-skills --skill oil-gas-tutorial-srt-summary

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: oil-gas-tutorial-srt-summary
Source: https://github.com/zlovexforever/zlx-claude-skills/tree/main/oil-gas-tutorial-srt-summary
Command: npx skills add https://github.com/zlovexforever/zlx-claude-skills --skill oil-gas-tutorial-srt-summary

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Convert noisy, spoken ASR SRT subtitles from professional oil & gas software tutorials into clean, structured Markdown study notes so you can review the workflow without rewatching or cleaning transcripts manually.

Core Features & Use Cases

SRT-to-Markdown Study Notes: Produces a course-prefixed, chapterized Markdown output that preserves real workflows, key actions, and parameters.
Oil & Gas Software Training Focus: Tailored for tutorial subtitles from Petrel, Eclipse, CMG, PIPESIM, Prosper, Techlog, and similar technical tools.
Batch-Ready, Stable Output: Supports per-file isolated batch processing with manifest/sidecar style artifacts to maintain consistency across large subtitle collections.

Quick Start

Provide the SRT content (or an SRT file path, or a directory for batch mode) and ask the assistant to convert it into structured Markdown study notes.

Frequently Asked Questions about oil-gas-tutorial-srt-summary

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I convert SRT subtitles into Markdown study notes for oil and gas software tutorials?▼

To convert SRT subtitles into Markdown study notes, the Skill normalizes ASR noise and extracts timestamped chapters, click-paths, and parameters to produce a structured, high-quality Markdown output. This preserves real workflows from oil and gas tutorial videos.

Can I batch process multiple SRT files for oil and gas training courses?▼

Yes, you can batch process multiple SRT files. The Skill supports per-file isolated batch processing with manifest or sidecar style artifacts to maintain consistency and stable, reusable outputs across large subtitle collections.

What is the best way to extract parameter notes and workflows from Petrel or Eclipse tutorial transcripts?▼

The best way to extract parameter notes from tutorial transcripts is applying a strict Markdown output contract that preserves parameter logic and click-path extraction. This transforms noisy ASR text into clean, chapterized study notes for technical tools like Petrel or Eclipse.

Does this SRT summarization tool work with ASR-generated subtitles from Whisper?▼

Yes, this SRT summarization tool works with ASR-generated subtitles from Whisper. It converts noisy, spoken subtitle content from professional oil and gas software tutorials into clean, structured Markdown study notes for review.

How do I clean up noisy spoken transcripts from technical software training videos?▼

Cleaning up noisy spoken transcripts requires noise normalization and workflow extraction to remove filler and preserve key actions. The Skill converts raw ASR SRT content into course-prefixed, chapterized Markdown study notes.

What are the limitations of using automated subtitle summarization for professional oil and gas tutorials?▼

Automated subtitle summarization is limited by the quality of the ASR input and requires a strict Markdown output contract to ensure stable results. Users must provide timestamped SRT content to achieve accurate chaptering and parameter logic preservation.