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Overlay a face-cam on a content video with auto-generated captions (shorts/reels format). Use when user wants to combine face video + content video with captions.
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Based on SOC occupation classification
Filter recent Hacker News for live threads on June's topics and hand him the list. Separately, flag the rare subset where work he has already done settles a specific quoted claim, and draft that comment as a plain argument with no link to his own writing. Use when June asks to check HN or find threads worth reading or commenting on.
Scan blog posts for AI writing tics and missed opportunities for human voice. Reports subtractions (AI patterns to remove) and additions (wordplay, arc, and claims to strengthen).
Poll June's Hacker News feeds, report what is new since the last run, and idempotently arm a background watch for replies to his comments. State persists in ~/Documents/sweep/ so it survives across sessions. Use when June asks what is new on HN, whether anyone replied, or to start watching a thread.
Argument-level compression by a strengthened absence test (does the argument stand with the same force, clarity, evidence, scope, pacing, and misreading-resistance?). Removes passages that fail it (self-referential cruft, cross-section restatement, self-recap, re-derivation, scaffolding, expired reader-orientation, stakes inflation, inert hedges, redundant examples); grafts good rhetoric onto an adjacent essential point rather than deleting. Idempotent. The structural cousin of /tighten (word-level) and /not-but (negation).
Audit a technical candidate's resume/CV by verifying its claims against the public contribution graph instead of taking the text at face value. Sorts every claim onto the self/peer/world attestation lattice, applies a cost-and-stake filter so cheap proxies (stars, downloads, backlinks) don't count, runs LIVE checks (GitHub, arXiv, package registries, CVEs), and reports two separate axes — merit (staked acceptance of the candidate's specific work) and attention (timestamped output) — plus a verifiability score in [0,1]. For technical recruiters and hiring managers. Invoke when given a candidate — a GitHub handle, a resume/CV, an arXiv author, a personal site — and asked to verify, audit, vet, or check their claims. Runs at two depths — a quick triage scan or a deep per-claim audit — and elicits which. Checks the provenance of a personal site or self-hosted resume (Internet Archive + git history) as an un-backdatable anti-tailoring anchor. Needs tool access (Bash/curl or WebFetch).
Find and defuse "not X but Y" / "isn't X; it's Y" / "X — not Y" constructions. Deterministic grep for detection (no LLM blind spot), the not-but subagent for triage. Split-or-cut tail negations ("X, not Y") aggressively — promote the point to its own sentence or delete it; recast in place only mid-clause "not X but Y" that genuinely can't be split; keep just the rare iconic thesis line literal.
| name | caption-overlay |
| description | Overlay a face-cam on a content video with auto-generated captions (shorts/reels format). Use when user wants to combine face video + content video with captions. |
| argument-hint | <face_video> <content_video> [options] |
| allowed-tools | Bash, Read, Write |
Run the auto_shorts CLI from the captain-caption project to overlay a face-cam video on a content video with auto-generated captions.
Activate the captain-caption virtual environment:
source /Users/junekim/Documents/captain-caption/.venv/bin/activate
Run the pipeline with the provided arguments:
auto_shorts <face_video> <content_video> [options]
Available options:
-o, --output — output file path (default: <content>_short.mp4 in current dir)--face_scale — face height as fraction of content height (default: 0.4)--whisper_model — Whisper model for captions (default: small)--task — transcribe or translate (default: transcribe)--language — source language, auto for detection (default: auto)--skip_bg_removal true — skip if face already has transparent background--skip_captions true — just overlay, no captionsReport the output file path to the user when complete.
auto_shorts ~/Downloads/face.mp4 ~/Downloads/gameplay.mp4 -o ~/Downloads/output_short.mp4
auto_shorts face.mov content.mp4 --face_scale 0.3 --whisper_model medium
auto_shorts face.mp4 content.mp4 --skip_bg_removal true