cut-mistakeslisted

Agent 2 of the video editing pipeline. Finds and removes spoken mistakes — stutters, repeated words, false starts, and retakes (re-recorded lines) — from a talking-head recording. Use after cut-silences, when asked to cut mistakes, remove stutters / repeats / filler restarts, clean up flubs, or keep the best take. Works review-gated: it proposes every cut with context and a reason for approval, then renders only the approved cuts via ffmpeg. Requires a word-level transcript.
nateherkai/hyperframes-video-pipeline · ★ 4 · Data & Documents · score 67

Install: claude install-skill nateherkai/hyperframes-video-pipeline

# Cut Mistakes & Repeats (Pipeline Agent 2) Second step of the automated edit, run after **cut-silences**. It removes the things a human editor cuts on a second pass: stutters ("the the", "I- I-"), immediately repeated words, false starts (an abandoned phrase that restarts), and retakes (a line re-recorded — keep the clean take, drop the botched one). Deciding what counts as a mistake is **judgment, not a formula** — emphatic repetition ("never, never") and rhetorical doubling ("the first piece is, is this…") look identical to a stutter mechanically. So this agent is **review-gated by default**: it surfaces candidates with full context; the agent (and the user) decide; only approved cuts are rendered. ## When to use - "cut the mistakes", "remove stutters / repeats", "clean up the flubs", "keep the best take", "cut false starts" - As the second stage of the master edit workflow, on cut-silences' output. ## The three-part flow ### 1. Find candidates (mechanical) ```bash node .claude/skills/cut-mistakes/scripts/find-cut-candidates.mjs \ <silence-transcript.json> --out-dir video-projects/<slug>/assets ``` Input is normally Agent 1's `<stem>.silence-transcript.json`, so cuts land on the already-silenced timeline. Writes: - `<stem>.cut-candidates.json` — structured candidates (type, confidence, proposed `cut` range, `removes`/`keeps` text, context, recommendation) - `<stem>.cut-candidates.md` — readable proposal Candidate types: `stutter` (immediate word repeat), `retak