create-founder-led-video-ad

name	create-founder-led-video-ad
description	create a short-form vertical video ad from a founder talking-head recording. applies the creator-talking-head archetype — jump-cut breath removal, hook-first reorder, b-roll inserts over VO, karaoke captions — using the EDL editorial pipeline (generate-edit-decision-list → render-edl). use when a founder take exists and needs to be re-edited into a creator-native ad.

create-founder-led-video-ad

Purpose

Turn a raw founder talking-head recording into a creator-native short-form video ad. The archetype is creator-talking-head (CREATOR_GRAMMAR.md §8): speech-only audio, karaoke-pop captions, jump-cut breath removal on every pause above the gap threshold, and optional b-roll inserts over continuous VO.

The edit/assembly path is the EDL editorial pipeline:

1. transcribe-audio-fal — generate word-timestamps from the recording.
2. create-jump-cuts — remove every breath/pause gap above 0.35 s (the defining creator-native edit).
3. generate-edit-decision-list (conform mode) — plan the full cut rhythm: reorder so the strongest claim is the hook, place b-roll-insert cues over VO, mark the payoff-hold clip, and write the validated edl.json.
4. render-edl — assemble the master video from the EDL, burn karaoke captions, write manifest.
5. add-captions-klap (optional override) — use Klap instead of render-edl's ASS captions when brand caption style requires Klap's animated treatment.
6. Human review + /watch:watch self-QC.

The goal is to make a founder's raw take feel like a trusted creator made it — tight delivery, hook-first structure, captions as the visual spine, ending that may cut mid-sentence.

Inputs

Input	Required	Notes
source_video	yes	path to the raw founder talking-head recording (.mp4, .mov, or .m4v)
target_duration_s	yes	target clip length in seconds (typical: 20–60 s)
brand_brief	yes	brand name, product claim, audience, platform (default: IG Reels / TikTok 9:16)
b_roll_clips	no	list of additional clip paths (screen recordings, product footage) to insert as b-roll over VO
gap_threshold_s	no	pause removal threshold (default 0.35 s; raise for deliberately slow delivery)
caption_preset	no	caption preset ID from caption-style-presets.json (default platform-default)
use_klap_captions	no	boolean; if true, run add-captions-klap instead of render-edl's built-in ASS captions
output_dir	yes	directory for all outputs and the run manifest

Composed Atoms

• skills/atoms/voiceover/transcribe-audio-fal — generate word-timestamps JSON from the recording
• skills/atoms/editing/create-jump-cuts — remove breath/pause gaps to produce a tighter re-encoded take
• skills/atoms/planning/generate-edit-decision-list — produce edl.json in conform mode for the creator-talking-head archetype
• skills/atoms/assembly/render-edl — execute the EDL into master.mp4 (video + karaoke captions + audio)
• skills/atoms/captions/add-captions-klap — optional: replace ASS captions with Klap animated captions

Workflow

Phase 1 — Prepare inputs

1. Confirm source_video exists on disk. If the file is missing, stop and report.
2. Confirm ffmpeg and ffprobe are installed (ffmpeg -version). If missing, stop and report.
3. Confirm output_dir exists or create it.

Phase 2 — Transcribe

Run transcribe-audio-fal on source_video to produce working/words.json (word-timestamps in [{"text", "start", "end"}] shape).

# transcribe-audio-fal produces: output_dir/working/words.json

If transcription fails, stop — the word-timestamps are required for every downstream step.

Phase 3 — Jump-cut breath removal

Run create-jump-cuts using the word-timestamps to remove every inter-word and inter-sentence gap above gap_threshold_s (default 0.35 s):

python3 skills/atoms/editing/create-jump-cuts/scripts/jump_cut.py \
  --source <source_video> \
  --words <output_dir>/working/words.json \
  --output <output_dir>/working/tight-take.mp4 \
  --gap-threshold <gap_threshold_s> \
  --crf 18

Review manifest.json from this step: confirm total_removed_seconds > 0. If the take has no pauses above threshold, the tight take equals the source — that is fine, proceed.

Caution: if gap_threshold_s is unusually low (< 0.20 s) on a slow-paced intentional delivery, jump cuts will over-cut the speaker's cadence. Use the default (0.35 s) unless the brief explicitly calls for a faster chop.

Phase 4 — Generate the EDL (conform mode)

Run generate-edit-decision-list in conform mode with the creator-talking-head archetype. Pass the word-timestamps from Phase 2 (aligned to the tight take's timeline after Phase 3).

Key behaviors the EDL generator applies:

• Hook-first reorder — identifies the strongest benefit-forward sentence in the transcript and moves it to the first 0–15% of the target duration as the hook clip.
• Jump-cut boundaries — each contiguous speech run in the tight take becomes a clip with transition_in: "jump-cut".
• B-roll inserts — if b_roll_clips are provided, inserts them as b-roll-insert cuts over continuous VO at natural phrase boundaries.
• Payoff-hold — marks the strongest visual proof moment as role: "payoff-hold" (~2× mean shot length, per archetype parameters in archetypes.json).
• Karaoke captions — places per-word caption cues from the word-timestamps, using caption_preset (default platform-default).

python3 skills/atoms/planning/generate-edit-decision-list/scripts/edl_pacing.py \
  --archetype creator-talking-head \
  --target-duration <target_duration_s>
# then run the LLM-executed planning workflow per generate-edit-decision-list SKILL.md

Validate: run edl_validate.py on working/edl.json. All nine schema validation rules must pass before proceeding to render.

Phase 5 — Render the master

Run render-edl on the validated EDL:

python3 skills/atoms/assembly/render-edl/scripts/render_edl.py \
  --edl <output_dir>/working/edl.json \
  --output <output_dir>/finals/master.mp4 \
  --crf 18

render-edl will:

• Trim conform clips from tight-take.mp4 (and b-roll source files) per source.in/source.out.
• Concatenate as hard cuts.
• Burn karaoke-pop ASS captions (unless use_klap_captions is true — see Phase 6).
• Write manifest.json to finals/.

Phase 6 — Captions (conditional)

Default (use render-edl built-in ASS): no extra step needed; captions are burned in Phase 5.

Klap override (use_klap_captions: true): run add-captions-klap on the master produced in Phase 5, replacing the ASS captions with Klap's animated treatment. Use this when the brand's existing ads use Klap-style animated captions and matching that treatment is required.

Phase 7 — Self-QC and human review

1. Run /watch:watch (or equivalent frame-extraction + transcribe) on finals/master.mp4. Do not declare done from a still frame — verify captions, cut rhythm, and hook placement by watching the video.
2. Confirm:
   • The hook (first ~15% of the video) contains the strongest product claim.
   • Breath/pause gaps are removed; delivery feels tight.
   • If b-roll was inserted, audio is continuous (L-cut) under the inserts.
   • No caption/hyperframe text collision.
   • Duration is within ±0.5 s of target_duration_s.
3. Write verification.md to output_dir.

Decision Rules

Decision	Rule
Gap threshold	Default 0.35 s. Raise to 0.5 s if the founder's delivery is intentionally slow or conversational; do NOT over-cut measured emphasis.
Hook-first reorder	Always reorder in conform mode unless the founder's opening line is already the strongest claim (confirm by reading the transcript before running the EDL generator).
B-roll inserts	Insert b-roll clips when b_roll_clips is non-empty AND a clip covers a factual claim that could be visualized. Place at phrase boundaries, never mid-sentence.
Karaoke vs. Klap captions	Use render-edl's built-in ASS karaoke by default. Switch to add-captions-klap only when the brand's existing ads demonstrably use Klap captions and matching that style is required. Klap runs last — never before render.
EDL conform vs. generative	Always use conform mode for founder talking-head. Generative mode is for new scene creation, not re-editing existing footage.
Payoff-hold	Even though payoff_hold.required: false for this archetype, identify and mark the strongest visual/claim moment as payoff-hold. The pacing curve needs an anchor.
Scaffolded atoms	If any composed atom is not yet implemented (no script on disk), stop and report exactly which atom is missing rather than silently substituting.

Output

• output_dir/finals/master.mp4 — finished 9:16 video with captions burned and audio intact.
• output_dir/finals/manifest.json — render metadata: skill, run_id, edl_path, clips_rendered, pacing_curve, status, warnings, errors.
• output_dir/working/edl.json — the validated Edit Decision List.
• output_dir/working/tight-take.mp4 — intermediate jump-cut output.
• output_dir/working/words.json — word-timestamps from transcription.
• output_dir/verification.md — self-QC results and human review notes.

Quality Checks

• master.mp4 exists, is non-zero, and ffprobe reports both video and audio streams.
• Duration of master.mp4 is within ±0.5 s of target_duration_s.
• manifest.json reports status: pass.
• edl.json passes all nine validation rules (validator exits 0).
• The first clip in the EDL has role: "hook" and contains the strongest claim.
• pacing_curve.payoff_hold_ratio is between 2.0 and 4.0.
• Karaoke captions are present and cover every spoken word.
• No caption text appears over a b-roll insert that carries its own on-screen text.
• verification.md exists and documents the watch-through result.

Failure Modes

• Source video missing or unreadable — stop immediately; report the path.
• Transcription fails — no word-timestamps means no jump-cut segmentation or EDL caption cues. Check FAL_API_KEY / provider credentials; do not proceed without a valid words.json.
• No pauses detected by create-jump-cuts — not an error; tight-take.mp4 equals source_video. Note in verification.md that no gaps were removed.
• EDL validator exits non-zero — fix all reported errors before running render-edl. Common issues: non-contiguous timeline, missing payoff-hold clip, last clip target_out > target_duration + 0.5 s.
• B-roll clip path does not exist — skip the missing b-roll and log a warning in the manifest. Do not fail the whole render.
• No strongest claim identifiable — keep original order and log a warning in planning-notes.md; do not silently reorder.
• ffmpeg not installed — both create-jump-cuts and render-edl require ffmpeg. Install via brew install ffmpeg.
• render-edl missing generate-mode clips — not applicable in conform mode. If the EDL was accidentally set to generative mode, fix meta.source_mode to "conform".
• Caption preset not found — render-edl falls back to platform-default and warns. Explicitly set a valid preset from caption-style-presets.json to avoid the fallback.