Protocol for high-fidelity document consolidation and conceptual shifting, preventing lossy 'banal summarization'.
Use this skill when the user wants to analyze a YouTube video forensically using a .info.json (metadata + comments) and/or .en.srt (transcript) produced by yt-dlp. Covers any narrative video genre: scams, true crime, interviews, controversies, documentaries. Triggers include: any mention of .info.json or .en.srt files, requests to analyze YouTube comments, mine crowd reactions, run sentiment analysis, cluster topics, find narrative pivots in a transcript, or extract the video URL from a yt-dlp JSON. The skill covers two tiers: (1) quick forensics via jq/Python, and (2) full statistical analysis via pandas/sklearn/matplotlib. Do NOT use for general YouTube searches, video downloading, or tasks where no .info.json/.en.srt files are present.
A methodology for researching, drafting, and posting high-quality technical reports to GitHub repositories.
Sequential JSON-based workflow for accessing non-Termux files on Android using termux-saf-*.
Generalized template for diagnosing complex logical patterns and bugs in unstructured codebases or texts.
Conceptual and operational master guide for interacting with Neo4j using MCP tools.
Procedural instructions on tunneling and exposing GH Codespaces over SSH/SFTP directly to Termux.
Log of STT input experiments alongside heuristics for adjusting logic and punctuation in English-39/74 transcriptions.