Reel Studio — SkynetLabs Master Reel Skill

End-to-end production for every professional short-form reel. Default style: saddamh1. Decoded forensic-level.

Repo

<repo>/interview-clip-engine/

Master playbook (READ FIRST every session)

references/SADDAMH1-MASTER-PLAYBOOK.md — 12 sections, single source of truth.

• Visual ID card (Montserrat Bold 700, #FFFFFF/#F7E043/#000000 stroke 2px)
• Hook architecture (5 tactics + 10 verbatim hooks)
• Body architecture (25-30 cuts/min, push-in 1.0→1.06)
• Caption rules (lower-third, color rotation green=money/red=loss/yellow=CTA/gold=default/cyan=tech)
• B-roll cards (light/dark/red/purple/green + 10 verbatim patterns)
• SFX timing (exact dB + ms per type)
• Audio mix (one canonical ffmpeg line)
• Recording playbook (Pocket 3, framing, wardrobe, energy)
• 5 script templates (problem-solution / list-of-N / contrarian / story-payoff / comment-bait)
• Decision tree (topic → template → BGM → card → color)
• 12 anti-patterns
• 10-item pre-ship checklist

LOCKED defaults (2026-05-19 — user approved clip_03)

Reference clip: clips/DJI_20260518_0023.silcut_clip_03_.mp4 (visa for digital nomad, 74s). The user approved this version ("always do such work") — these rules apply to EVERY new reel.

Mandatory thumbnail title card (first card, every reel)

• start_sec = 0.2, duration_sec = 3.5 — covers the IG/YT/TT thumbnail window.
• text = full episode title (10-14 words OK, render auto-shrinks via font ladder 120→60).
• style = "light" by default (white bg + black text + red accent on 1-2 nouns).
• illustration_prompt = 1 scenic nature anchor — see below.

B-roll illustration relevance (MANDATORY)

• Every illustration_prompt MUST reference a subject noun from the clip's hook/topic — NOT random food/sand/abstract.
• For nomad/visa/freelance/travel topics → AT LEAST 1 scenic nature anchor per clip:

rice terrace · beach drone · palm sunset · scooter street · jungle · cliff · roadside cafe · infinity pool.

• Prompt template:

minimalist editorial photo of <topic-subject>, <scenic location>, golden hour, muted dark palette, soft warm glow, vertical 9:16, cinematic depth of field, no text no words no captions

Card cadence

• 4-6 cards per ~75s clip (was 3 — too sparse).
• Card 1 = thumbnail title.
• Cards 2-5 = key beat punctuation, ~5-10s gap.
• Last card = payoff/CTA in final 4s.

Contrast + legibility (MANDATORY — 2026-05-19 fix)

Card text MUST be readable at 1.5s pause-frame inspection. Original render failed: black text on dark-scrim scenic image = invisible.

• Light style + bg_image → use WHITE scrim (255,255,255,140) to LIFT image, NOT dark scrim. Black text + red accent then pops.
• Dark style + bg_image → keep dark scrim (0,0,0,160). White text + yellow accent.
• Every word renders with a 4px stroke outline (white on light cards, black on dark cards) + soft drop shadow — survives any busy bg.
• Pre-ship QA: scrub to each card start+1s. If text is mostly the bg color, regen the card.
• B-roll image scenes must be BRIGHT enough — avoid all-dark cliff/night/silhouette shots. Aim for golden hour / midday / turquoise / sunlit subjects. Dark cliff silhouette REJECTED 2026-05-19.

Fade timing (slow OUT for readability — 2026-05-19 fix)

• Fade-in: 0.35s (was 0.20 — slightly slower entrance feels editorial)
• Fade-out: 0.80s (was 0.25 — viewer needs time to finish reading)
• Card duration: 2.8s minimum for body cards, 4.5s for title + payoff/CTA cards (was 2.0/3.5 — too fast).
• Both fade durations encoded in pipeline/stage_08c_broll_cards.py::build_overlay_filter.

Design + color (do NOT drift)

• Caption: Montserrat Bold, lower-third, #FFFFFF base, #F7E043 exact yellow accent (NOT #FFFF00), 2px stroke, 4px shadow, pop-karaoke, sentence case (NOT all-caps).
• B-roll text card colors: dark = black/white/#F7E043 · light = white/black/#FF3C3C.
• Push-in zoom: 1.00→1.06 every shot.
• Voice EQ chain: highpass=94, eq 200/-2, eq 3500/+2, eq 8000/+4.4, acompressor -18/3/8/180/+3, deesser.
• BGM duck: vol 0.22 + sidechain compressor (threshold=0.05 ratio=8 attack=20 release=400) — sidechain ducks dynamically under voice peaks, more transparent than fixed vol cut.
• Loudnorm: I=-14 LRA=11 TP=-1.5 for IG/TT Reels (was I=-16 — IG Reels spec is -14 LUFS, not podcast -16). YT Shorts also -14. Use I=-16 only for podcast/long-form.
• End-card slate: always on.

Speed defaults (LOCKED 2026-05-25, REVISED 2026-05-25 eve)

• Multi-clip interview merge: 1.0x NATIVE (REVISED — was 1.15x). Mike Chang reel pack test showed 1.15-1.25x produces perceived lip-sync drift even when video/audio technically aligned. atempo<0.9 audio time-stretch introduces phase artifacts the eye reads as out-of-sync.
• Single saddamh1 clip: 1.0x (raw pace, no speedup — pause beats already cut).
• Kinetic-stoic: 1.0x (per-beat pacing is the format).
• NEVER atempo source talking-head audio. If clip too long, TRIM (in/out points) instead of speeding. Lip-sync is sacred.
• Reasoning: 1.25x kills retention on talking-head IG reels. Research (May 2026): IG Reels sweet spot retention = source-pace + light BGM, NOT speed-ramp.

Brightness lift for IG re-compression (MANDATORY)

• IG aggressively re-compresses, crushes dark frames + shifts tone-map. Pre-lift required.
• Apply at finalize stage: eq=brightness=0.05:contrast=1.08:saturation=1.10
• Verify: scrub to 5/30/50/70% timestamps, sample frames. If a frame is still <40% avg luma, the B-roll source itself is too dark — SWAP it, do not just lift more (lifting kills contrast).
• BANNED B-roll sources for bright-feel reels: night cityscapes, cliff silhouette, dark cave, black tarmac, low-key portrait. Use golden hour / midday / turquoise water / sunlit subjects instead.

Background music (MANDATORY for engagement, May 2026 research)

• Always layer BGM under voice — silent reels lose 30-40% completion rate on IG.
• Default track pool: assets/bgm/mixkit-cinematic-*.mp3 (7 tracks, 100-226s, Mixkit Free license commercial-OK).
• BPM target: 100-130 for talking-head (matches natural speech rhythm). Tested pick: mixkit-cinematic-871.mp3 (light, uplifting).
• Mix: BGM at vol 0.22, sidechain-ducked under voice (see Design + color above). Fade out last 2s.
• IG 2026 algorithm: rewards original audio + voiceover combos — your voice IS the original audio, BGM under it is fine.

Name strap rotation (LOCKED 2026-05-25 — Mike Chang pack)

For interview-style or "guest + me" reels, rotate 4 straps (top center) w/ 0.4s alpha fade-in/out:

1. Subject strap (0-T1): guest name + credibility (MIKE CHANG / 7 MILLION+ FOLLOWERS)
2. Host strap (T1-T2): your name + positioning (YOUR NAME / FOUNDER SKYNETLABS · CLAUDE CODE EXPERT)
3. Mid-roll CTA (T2-T3): build-tease (EDITED BY CLAUDE CODE / GUYS - DM FOR FULL GUIDE)
4. Outro CTA (T3-end): connect ask (LETS CONNECT / DM FOR INTERVIEW)

Per-clip duration timing table:

Adjust to natural sentence breaks — strap should never change mid-sentence.

Color palette (LOCKED 2026-05-25)

BANNED: #FF3C3C bright red as strap bg (cheap/alarmist). Use teal #00897B instead for any "urgent" CTA.

Intro/outro animated cards (LOCKED 2026-05-25)

For multi-clip packs, prepend 3s animated intro + (optionally) append 6s animated outro to give narrative arc.

Intro card recipe (3s):

• Bg: bright scenic B-roll image w/ slow Ken Burns zoom zoompan=z='min(zoom+0.0008,1.06)':d=90:s=1080x1920:fps=30
• White scrim [email protected]:t=fill for text legibility
• Staggered text reveals via alpha (4-5 lines, each 0.4s gap):
• Line 1 at 0.2-0.5s
• Line 2 at 0.6-0.9s (bigger, color pop)
• Line 3 at 1.0-1.3s (smaller, context)
• Line 4 at 1.4-1.7s (BIGGEST payoff word)
• Line 5 at 1.8-2.2s (punctuation/question mark)
• BGM faded in 0.3s, faded out 0.4s before end

Outro card recipe (6s):

• Same bg + Ken Burns + scrim
• 6-8 cascading text reveals (1s apart) building to CTA
• Final strap: teal pill FOLLOW @SKYNETLABS (the handle, always w/ @)
• All text stays on screen until last 0.5s (then global fade)

Concat: ffmpeg -i intro.mp4 -i main.mp4 -i outro.mp4 -filter_complex "[0:v][0:a][1:v][1:a][2:v][2:a]concat=n=3:v=1:a=1[v][a]" re-encodes ALL → seamless audio/video sync, same codec params end-to-end.

Dark B-roll mask-overlay technique (LOCKED 2026-05-25)

If source clip has dark B-roll cards baked in from older saddamh1 pipeline runs (night cityscapes, dark forests):

1. Scan with ffmpeg signalstats at 0.3s intervals, identify windows with YAVG<60
2. Generate bright scenic B-roll images via Pollinations or use work/*/broll_bg/*.png
3. Overlay during dark window: [scene]overlay=0:0:enable='between(t,X,Y)'
4. Source: -loop 1 -i scene.png (NO -t — image stream must outlast overlay window)
5. Crop to vertical: scale=1080:1920:force_original_aspect_ratio=increase,crop=1080:1920,setsar=1

drawtext gotchas (caught 2026-05-25)

Reusable templates

Copy & adapt from templates/merge_pack/:

• brand_main.sh — 4-strap rotation render for N clips
• build_intros_outro.sh — animated intro/outro card generator
• concat_final.sh — intro+main+outro stitcher
• README.md — full quick-start + locked defaults

Trigger: when user has 2+ interview clips and wants branded social-pack output.

3 modes

Mode 1: interview

Long-form raw video (interview, podcast, lecture) → 5-10 viral 9:16 shorts.

cd <repo>/interview-clip-engine
python run.py --input raw/episode.mp4
python run.py --url "https://youtube.com/watch?v=..."

Mode 2: saddamh1 (default for new content)

User records solo talking-head per generated script → I edit indistinguishable saddamh1 output.

# Step 1: generate script
python script_gen.py --topic "your topic" --duration 45 --tone tough-love
# → outputs/scripts/<slug>.md with HOOK + BEATS + PAYOFF + CTA + camera brief + B-roll cues + SFX + BGM + post caption

# Step 2: user records per brief, saves MP4 in raw/
# Step 3: edit
python run.py --input raw/my-take.mp4 --single-speaker

Mode 3: tts (voiceover, no recording)

Script → ElevenLabs TTS → animated captions + B-roll cards + BGM.

• Adapt from _VIDEO-INVENTORY/PENDING/voiceover-batch-2026-05-16/ pipeline
• Status: PENDING migration into pipeline/10_tts_voiceover.py

Mode 5: mograph (motion-graphics explainer, no face cam) ⭐ NEW 2026-05-17

Decoded forensically from @beingmayy (After Effects MORPHING tutorial, 33s 16:9) + @mister.usb (Mac mini replaces streaming-stack, 67s 9:16). Flat-bg explainer w/ bold typography + UI mockup chips + 3D Apple emojis + product photos w/ soft blue halos. Voiceover-driven, NO face cam.

Playbook: references/mograph/MOGRAPH-MASTER-PLAYBOOK.md (12 sections — visual ID, slide grammar, 11-chip library, glow specs, hook bank, anti-patterns, pre-ship checklist).

11 slide types (consumed from script JSON):

• typography — bold mixed-weight word reveal (with weight_mix for multi-size rows)
• chip-timer-pill · chip-search · chip-imessage · chip-button · chip-youtube · chip-track-order · chip-iphone · chip-phone-screen · chip-timeline
• product-photo — centered w/ soft blue halo + headline above
• icon-halo-cluster — 3+ icons w/ halos in triangle layout
• end-cta — avatar + handle + socials row + animated FOLLOW + cursor

Run:

# Manual — author script JSON yourself, render:
python mograph_reel.py --script examples/mograph-sap-n8n.json

# Auto — 1-line topic → Gemini drafts full slide JSON (mograph schema) → render:
python mograph_script_gen.py --topic "SAP just bought into n8n at $5.2B" --render
python mograph_script_gen.py --batch outputs/topics-week-21.txt --render
# → clips/mograph_*.mp4 (~25-30s, 9:16, 10-13 slides, hard cuts)

4 ready samples in examples/:

• mograph-sap-n8n.json (13 slides, 27.4s) — SAP buys n8n at $5.2B
• mograph-apple-claude-wwdc.json (12 slides, 24.8s) — Apple opens Siri to Claude
• mograph-aeo-geo-killed.json (11 slides, 25.2s) — Google's AEO/GEO is still SEO
• mograph-chip-showcase.json (13 slides, 22.8s) — exercises all 11 chip primitives

Topic fit: "X tool hit $Y valuation" / "Big company surprising move" / "Old vs new way" / "X pays for itself" / "You don't need to be Y to do Z". NOT good for personal stories (no face = no emotion anchor).

Latest test (2026-05-17 PM): SAP buys n8n at $5.2B sample reel rendered clean — 13 slides distinct, FOLLOW CTA fires w/ cursor + 4 socials (IG/YT/TT/LI).

Reference assets: references/mograph/refs/ (2 source videos staged). Decode scripts: references/mograph/analyze_mograph.py + deep_decode_mograph.py (pending Gemini re-quota — playbook synthesized from manual frame-by-frame decode).

Format: kinetic-stoic (text-only, no face)

Inspired by @naval / @ryanholiday / @dailystoic. Premium thought-leader reels.

• Cream #F4F1EA bg + charcoal text + gold #8B6F47 accent
• Fraunces Bold serif (downloaded to assets/fonts/)
• Word-by-word reveal w/ cross-dissolve between beats
• No source video — pure synthesis from quote text
• Ambient piano BGM ducked
• 5-10s per reel typically

python kinetic_reel.py --quote "Do what's needed. Not what you want." --emphasis "needed,want"
python kinetic_reel.py --batch outputs/kinetic-quotes-pack.txt --emphasis "obstacle,path,consistency"
python kinetic_reel.py --quote "..." --voice tts.wav   # add VO

Use when: B2B / agency / luxury client targeting. Batchable from existing story posts. Zero recording required.

Mode 6: aeo-daily (skynet-aeo-engine bridge) ⭐ NEW 2026-05-19

Wires daily AEO content into reel-studio. 3 variants per AEO daily output → 5 channel slots.

Bridge: <repo>/skynet-aeo-engine/scripts/build_videos.py

End-card handles (mandatory):

• biz reels → example.com (agency)
• travel reels → @yourhandle (personal)

Voice-lint guard: travel variants HARD-FAIL if script contains aeo / agency / client / skynetlabs / linkedin / ghl / n8n / saas / mrr / fiverr / upwork. Scrub copy.json before re-run.

Source-MP4 lookup (real pipeline):

• Talking-head expected at interview-clip-engine/raw/aeo-daily-YYYY-MM-DD.mp4
• If absent → biz-pro + travel-tiktok fall back to tts_reel.py (auto ElevenLabs > Edge > pyttsx3)
• travel-narrative NEVER needs source MP4 (kinetic_reel.py + Ken-Burns layer)

Run:

# Smoke test (ffmpeg colorbars, no deps) — proves orchestration
cd <repo>/skynet-aeo-engine
python scripts/build_videos.py --smoke

# Real pipeline (today)
python scripts/build_videos.py

# Specific date
python scripts/build_videos.py --date 2026-05-19

# One variant only
python scripts/build_videos.py --only travel-tiktok

Output (predictable for schedulers):

skynet-aeo-engine/outputs/<date>/business/ig-pro/reel.mp4
skynet-aeo-engine/outputs/<date>/business/yt/reel.mp4
skynet-aeo-engine/outputs/<date>/business/tt-pro/reel.mp4
skynet-aeo-engine/outputs/<date>/travel/ig-travel-1/reel.mp4
skynet-aeo-engine/outputs/<date>/travel/tt-travel-1/reel.mp4
skynet-aeo-engine/outputs/<date>/video_build_report.json

New run.py flags (added 2026-05-19):

• --script-text "..." — persist script text alongside the work dir
• --slug ig-pro — predictable output filename override
• --synth-colorbars — emit ffmpeg colorbars MP4 at variant's target duration + AR (smoke-test gate)

Smoke test results 2026-05-19 (3 colorbar mp4s):

• biz-pro → 1080×1920 × 67.0s ✓ (fans to 3 channel slots)
• travel-narrative → 1080×1920 × 52.0s ✓
• travel-tiktok → 1080×1920 × 38.0s ✓

3 caption variants (style mixing for fatigue prevention)

Per Agent C competitor research — rotate variants every 4 reels:

| substance-caps | personal-brand / founder talking-head | Submagic "Hormozi 2" + UK coach reels (decoded 2026-06-01) | MID-SCREEN 2-line stack, lead words WHITE + punch word GOLD #E8C87E bigger, Montserrat Black caps word-pop, full-frame espresso #3C2422 break-cards (lowercase gold word) as pattern-interrupts, occasional Playfair-italic soft phrase, warm-clean grade |

Run via --variant <name>. Default = saddamh1-default.

`substance-caps` (NEW 2026-06-01) — proven clone of the "stop polishing, start substance" reference reel. Preset: config/presets/substance-caps.yaml. Standalone renderer: tools/substance_caps_render.py (midcaps-twotone ASS + espresso break-cards + serif soft-phrases in ONE ffmpeg pass). Proof: work/substance-caps-PROOF.html (ref-vs-clone side-by-side). Fonts shipped in assets/fonts/ (Montserrat-Black, Anton, PlayfairDisplay-Italic). To run on a clip: whisper word-stamps → substance_caps_render.py. TODO: fold the midcaps-twotone branch into pipeline/stage_08_burn_caps.py keyed by captions.style so run.py --variant substance-caps routes the full multi-platform pipeline.

v0.4.0 2026-05-19 — iman-premium + bartlett-podcast upgraded from caption-only to full-spec modes:

• Config presets: config/presets/iman-premium.yaml (99 lines) + config/presets/bartlett-podcast.yaml (132 lines)
• Reference playbooks: references/iman-premium/IMAN-PREMIUM-PLAYBOOK.md (12 sections) + references/bartlett-podcast/BARTLETT-PODCAST-PLAYBOOK.md (12 sections)
• Wired today: captions, voice EQ, BGM, push-in, name strap (bartlett), B-roll cards (bartlett)
• Wired v0.4.0 (2026-05-19 PM): stage_11_end_card.py (shared, 2 flavors — clean-fade-handle for iman + watch-full-episode for bartlett, Pillow slate + ffmpeg concat w/ audio fade-out) · stage_06b_multicam_stack.py (bartlett signature, vstack top:cam_b 1080×960 + bottom:cam_a 1080×960, single-cam pass-through fallback if --cam-b absent, diarization-driven swap = v2 TODO) · stage_07c_color_grade.py (iman LUT apply via lut3d=, ffmpeg eq+colorbalance+curves fallback w/ preset-driven dict from YAML fallback_filter)
• Wired CLI flags: --cam-b, --handle, --hook-name, --hook-episode, --ar 9:16|16:9, --skip-grade, --skip-endcard. Pipeline routing in run.py: iman → 07c + 11, bartlett → 06b (if --cam-b) + 11. Drop a .cube LUT at assets/luts/teal-orange-cinematic.cube to swap fallback for cinematic grade.
• Still stubbed: stage_08 dual-color speaker routing (host yellow / guest white via diarization tags per word), stage_08e_hook_ribbon (3s top-third overlay w/ speaker name + EP#), BGM fade-out-at-mark in stage_09 finalize (afade=t=out:st=0:d=2 on BGM track only)
• Smoke v0.4.0 (3-sec ffmpeg colorbars source): stage_07c teal-orange fallback grade renders 1080×1920 → 1080×1920 ✓. stage_06b 2-cam vstack renders 2× landscape → 1080×1920 ✓. stage_06b single-cam fallback (no --cam-b) → pass-through copy ✓. stage_11 iman flavor: 3s clip + 2.0s slate → 5.03s output ✓. stage_11 bartlett flavor: 3s clip + 2.5s slate → 5.54s output ✓.
• Hand-validate: real talking-head clip (e.g. raw/DJI_iman.MP4) end-card text legibility at iPhone preview size (handle @yourhandle Inter Bold 64px → may want bigger), then drop a real .cube LUT for the cinematic grade pass.

Stack ($0 forever)

All free, all local-first, all Windows-tested on RTX 4060.

API keys (in interview-clip-engine/.env)

GEMINI_API_KEY=...   # https://aistudio.google.com/app/apikey (free)
HF_TOKEN=...         # https://huggingface.co/settings/tokens + accept pyannote license
GROQ_API_KEY=        # optional Whisper fallback

Decision tree (topic → settings)

Anti-patterns (NEVER do)

1. Crossfade transitions — saddamh1 uses 97% hard cuts
2. Captions covering faces — always lower-third
3. ALL CAPS everywhere — only KEYWORDS uppercase
4. Zoom-OUT on talking head (only on B-roll card reveals)
5. BGM louder than -20 dB under voice
6. Rainbow highlighting (only Gemini-tagged emphasis words colored)
7. Mid-word phrase cuts in captions
8. Skip alimiter before loudnorm (= peak clipping)
9. Double loudnorm (= 2-pass instability)
10. < 4K source (Pocket 3 native is fine)
11. Card duration > 30% of clip total
12. Sentence-case caption MarginV padding wrong (= covers face)

Pre-ship checklist (10 items)

1. ✅ Hook timestamp snapped to real speech (not Gemini's ±15s guess)
2. ✅ Captions in lower-third, not covering faces
3. ✅ Only Gemini emphasis words colored (no rainbow)
4. ✅ Peak ≤ -1.5 dBTP (alimiter active)
5. ✅ Loudness target -16 LUFS (±2 OK for IG/TT)
6. ✅ Push-in zoom 1.0→1.06 active
7. ✅ B-roll cards 1-3 per clip, max 30% screen time
8. ✅ SFX impact on hook, pops on emphasis words
9. ✅ Voice EQ 6-stage chain applied
10. ✅ BGM ducked ≤ -20 dB under voice peaks

Quick reference — common invocations

# Interview → 5-10 shorts
python run.py --input raw/long_interview.mp4

# YouTube interview URL
python run.py --url "https://youtube.com/watch?v=ABC"

# My talking-head recording, single speaker
python run.py --input raw/my_take.mp4 --single-speaker

# Skip silence cut (short clips)
python run.py --input raw/short.mp4 --skip-silence

# Generate script for new topic
python script_gen.py --topic "why most freelancers stay broke"

# Generate 10 scripts batch
python script_gen.py --batch outputs/topics-week-21.txt

# Re-render with different variant
python run.py --input raw/my_take.mp4 --variant iman-premium

Pipeline stages

01_silence_cut    auto-editor (→ unsilence upgrade)
02_transcribe     faster-whisper word-stamps
03_diarize        pyannote (skipped for single-speaker)
04_hook_detect    Gemini Flash native video
05_edl_build      hook timestamp snap + word merge
06_cut_clips      ffmpeg frame-accurate
07_reframe        MediaPipe face-track 9:16
07b_zoomout       push-in 1.0→1.06 (saddamh1 signature)
08c_broll_cards   Gemini picks + Pillow renders + ffmpeg overlays
08_burn_caps      ASS karaoke selective highlight
09_finalize       voice EQ + BGM duck + alimiter + loudnorm
09b_sfx           impact + pop + ding overlays

Per-stage skip flags: --skip-silence, --skip-reframe, --skip-zoom, --skip-broll, --skip-caps, --skip-bgm, --skip-sfx.

Roadmap (next sprint)

• [ ] Absorb unsilence lib → replace auto-editor (1-day, top OSS win)
• [ ] Absorb pycaps → upgrade ASS karaoke to CSS-styled animated captions (2-3 days)
• [ ] Absorb opensource-clipping B-roll fetch (Pexels API) + auto-thumbnail (1-2 days)
• [ ] Absorb bilingualsub → stacked EN+UR subs for Pakistan reels (1 day)
• [ ] Migrate voiceover-batch → pipeline/10_tts_voiceover.py (mode 3 unlock)
• [ ] Build iman-premium + bartlett-podcast caption variants
• [ ] Multi-version A/B render (3 hook variants per clip)
• [ ] Auto-thumbnail generator for IG/YT
• [ ] Beat-synced cuts (librosa beat_track + ffmpeg concat)

Deprecated (use this skill instead)

• ~~saddamh1-replicator~~ → merged here
• ~~interview-clipper~~ → merged here
• ~~/video-edit command~~ → superseded