KarlTDebiec

Run and verify Scinoephile reference-guided transcription in consecutive block batches using the command-line interface, limited to audio extraction, transcription, delineation audit, and punctuation audit. Use when building or continuing a movie transcription from a provided media file and guide SRT without performing guided review or translation. Requires an explicit existing media file; never discover media from machine-specific locations.

Sync test fixtures in test/data/* by comparing the input and output files present with test fixtures in __init__.py and making appropriate updates, followed by updating the relevant tests to use the current fixtures/files. Use when test data file organization changes, output files are added/removed, or tests fail due to fixture mismatches.

Research and draft concise, operation-specific, prompt-ready additional context for LLM calls involving a movie, including canonical character names, aliases, places, objects, organizations, culture-specific terms, and other recurring terminology. Use when preparing or revising a Scinoephile movie dataset's additional_context for transcription, review, OCR, or translation; when an LLM needs title-specific naming or tone guidance; or when reference subtitles and web sources such as official film pages, Wikipedia, or Douban should be reconciled into a terminology list.

Audit character-aligned subtitle differences between a transcription and a non-authoritative reference, optionally using a timing-aligned guide for context. Use when evaluating transcription accuracy, explaining character-error-rate differences, distinguishing transcription errors from reference errors or acceptable variants, or inspecting aligned subtitle diff reports.

Audit Scinoephile OCR-fusion output against the exact two OCR source SRTs and optional OCR-fusion JSON used to generate it, optionally comparing every fused subtitle with a one-to-one validated SRT as ground truth. Use when inspecting ocr_fusion.json decisions, source selection, fused OCR errors, validation discrepancies, verification state, or corrected OCR-fusion cases.

Audit Scinoephile regular or guided subtitle reviews, traditional-to-simplified review paths, or dual Hans/Hant review paths. Use when inspecting original and reviewed SRTs, review or guided_review JSON, guide-supported revisions, character-focused changes, parallel script outputs, verification state, or corrected subtitle-review cases.

Audit Scinoephile transcription delineation logs by matching JSON reference pairs to their guide SRT subtitle indexes and judging whether target boundary shifts or no-shift answers align fixed target text appropriately. Use when inspecting transcription delineation mps.json or cuda.json files or identifying incorrect boundary decisions. Do not assess transcription accuracy.

Audit Scinoephile transcription punctuation logs by matching JSON guide text and target fragments to reference and punctuated target SRTs, then judging whether punctuation and whitespace are appropriate without assessing transcription accuracy. Use when inspecting punctuation mps.json or cuda.json files, identifying punctuation errors, or verifying corrected punctuation test cases.

Audit and correct module hierarchy comments and exported symbol ordering in pipescaler __init__.py files using dependency-aware "bubble up" ordering, including cycle detection. Use when package structure changes or when hierarchy comments may be stale.

Audit Python files in pipescaler for compliance with docs/STYLE.md and write conservative markdown notes, typically to local/style_notes.md. Use when asked to review repository style compliance without automatically modifying source files.