Skip to content
Back to skills

Broll Overlay

ASecurity

Overlays silent b-roll cutaway clips onto a finished base video — the base audio keeps running underneath while the picture cuts away and returns, and the final duration always equals the base duration. Use when the user asks to add b-roll, add cutaways, or overlay clips on a video: "add b-roll to this", "cut away to a product shot here", "overlay these clips on my UGC ad". Entered from an approved base video plus its transcript, which comes from POST /v1/transcripts and needs no local instal...

  • 19 stars
  • 0 votes
  • 5 copies
  • 16 views
  • Added September 19, 2026
ai-agentspythongoreactgitapi

Works with

  • cli
  • api
  • mcp

Security analysis

A100/100

Pro scans all 5 files and shows the line behind each finding

Scanned September 19, 2026

npx -y skills add novoads/agent-skills --skill broll-overlay --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Broll Overlay?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Broll Overlay
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/novoads-broll-overlay/badge)](https://www.skillsdirectory.com/skills/novoads-broll-overlay)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: broll-overlay
metadata: {packVersion: 1.3.0}
description: >-
  Overlays silent b-roll cutaway clips onto a finished base video — the base
  audio keeps running underneath while the picture cuts away and returns, and
  the final duration always equals the base duration. Use when the user asks to
  add b-roll, add cutaways, or overlay clips on a video: "add b-roll to this",
  "cut away to a product shot here", "overlay these clips on my UGC ad". Entered
  from an approved base video plus its transcript, which comes from
  POST /v1/transcripts and needs no local install; it never generates the base
  itself and it never extends a video.
---

# B-roll overlay

Lays silent cutaway clips **over** a finished base video: the base audio runs
untouched underneath, the picture cuts away and returns, and the final duration
equals the base duration exactly. That is the whole contract — overlay, never
concatenation. A previous run concatenated: 24s for a 15s base, voice dead 12s.

Assembly mechanics live entirely in `scripts/broll_overlay.py`; this file is
judgment only — when to enter, where the windows go, what the user sees first.

## Entry condition

Two things must already exist. This skill never generates the base — if there
isn't one yet, say so and stop.

1. **A finished, approved base video with exactly one audio stream.** Approved
   means the user has watched it and signed off — b-roll is a polish pass over a
   locked cut. The script stream-copies one voice track under the picture, so a
   two-stream base is rejected: `ffmpeg -i base -map 0:v -map 0:a:0 -c copy`.
2. **Its transcript, with timings.** One call to **`POST /v1/transcripts`** with
   the base's `jobId` (or its `assetId` if it was uploaded). It returns `text`,
   word-level `words[]` and `segments[]` — **timings in SECONDS**, which is what
   the EDL below takes — plus an `srt` you can ignore here. **Price it with the
   transcript arm of `POST /v1/estimates` and quote that number**, never one from
   this file. The meter is per minute of source, rounded up from a one-minute
   minimum, and **a repeat of the same source is free**, so asking twice costs
   once. No local install.

   *(The **captions** endpoint still cannot supply this — it burns subtitles into
   a new MP4 and returns no text or timings, verified 2026-08-04 and re-checked
   when transcripts shipped. That finding is correct and is kept here so nobody
   re-discovers it and files a bug against captions.)*

   **Offline fallback:** a local whisper pass (`whisper-cli` or `openai-whisper`)
   still works and is the path when there is no API key or no network. Note
   whisper reports timings in **milliseconds** where the API reports seconds, and
   `whisper-cli` with no model downloaded returns an EMPTY transcript rather than
   an error — which reads exactly like a bad render. See README for the model
   download.

   Placement is read from the transcript, not eyeballed.

> **REST key required. A Novoads MCP connector is not a substitute.** If
> `NOVOADS_API_KEY` is missing or still the placeholder, stop before any
> generation work and tell the user: "Before continuing, create an API key at
> <https://novoads.ai/dashboard/settings?tab=api> and paste it into `.env`."
> That holds even when `mcp__novoads__*` tools are connected and authenticated in
> the session. Never call `mcp__novoads__*` tools from this repo's workflows: they
> are a different surface with different behavior, including the units they quote
> costs in. Repo installs verify with `./scripts/check-novoads-env.sh`; a solo
> install checks `NOVOADS_API_KEY` in the environment.

**Pack version.** Every `/v1` response carries `X-Novoads-Pack-Version`; mention a newer pack at <https://github.com/novoads/agent-skills> only when that header names a version NEWER than this file's `metadata.packVersion` — equal or older is nothing to say, and it is never a reason to stop.

## Workflow

1. **Read the transcript.** Note what is said and when — the words drive every
   decision below.
2. **Generate the b-roll clips, only after base approval.** One clip per moment
   you intend to cover, each rendered silent (`audioEnabled: false`). Overlay
   audio is ignored by the script regardless, and generating before approval
   spends credits on a cut that may still change.
   **Price the set live first — `POST /v1/estimates` this session, the total
   shown against the user's balance, an explicit yes.** Four cutaways is four
   charges, and a remembered price is not a price.
   **Cast the base actor in every cutaway that shows a person:** pass the same
   `referenceAssetIds` the base used — Seedance re-casts every render, and a
   stranger's hands or skin breaks the ad (observed live 2026-08-04: Black base
   actor, five white-cast cutaways). With no identity ref, keep people out of
   frame entirely — objects and environments, not "face out of frame".
3. **Propose an EDL.** JSON with `base`, `output`, and `overlays` (`file`,
   `start`, `end`, `covers`). `covers` is mandatory and **quotes the spoken line
   the window illustrates** — a window you can't quote is one you're guessing at.
4. **Show the EDL to the user and wait for approval.** Rendering before the user
   has seen the plan is precisely the failure this step prevents.
5. **Render:** `python3 scripts/broll_overlay.py edl.json`
6. **Report the script's verification output verbatim** — the measured durations,
   the audio check and the window count, not a paraphrase. Then offer 2–3 cut
   variations (different windows, fewer cutaways, a tighter opener) to react to.

## Placement judgment

Default cadence, measured 2026-08-04 frame by frame from the reference edit this
pack reproduces — ~15.5s, 10–11 shots, a cut every ~1.4s:

- **Alternate A-B-A-B: the face returns between every cutaway.** Never two
  overlay windows back to back; the talking head is the spine.
- **4–6 windows per 15s, ~1–1.5s each, ~40–45% coverage.** Short and frequent.
  This retires our older "fewer, longer windows" rule — taste, reversed by
  measurement; our own two renders ran 2 windows of 2.5s/2.0s, ~30% coverage.
- **The b-roll may travel; the base never does.** The reference visits 4
  distinct b-roll settings across 2–3 rooms; the talking head never moves.
- **Never cover the opening hook beat.** The first beat is a face making a
  claim; cutting away there spends the retention the hook just bought.
- **End on the person, not on b-roll.** The closing beat is the verdict, and it
  only lands if the viewer is looking at whoever delivers it.
- **Put product shots where the product is being spoken about.** B-roll that
  illustrates the current sentence reads as evidence; anything else is filler.

**Default shot plan.** The reference's five cutaways tell one arc: problem →
stress → product macro → dose/usage → relief — 2 product shots to 3 emotional
beats. Adapt the imagery to the script, keep the ratio.

Evidence: one measured edit (n=1) — a default, not a law; depart deliberately and
say why (evals.md OV3/OV6). Every run prints its own cadence against this
envelope; `--stats` prints it without rendering.

## Hard rule: assembly always goes through the script

Never hand-write overlay or concat ffmpeg for this task. `broll_overlay.py` owns
validation, rendering and verification, and it fails loudly on exactly what
fails silently by hand: duration drift, re-encoded audio, overlapping or
zero-frame windows, a clip shorter than its window, a rotated phone base
composited at the wrong geometry, a window that quietly composited nothing.
Improvised ffmpeg is how the founding failure happened.

**It needs ffmpeg 7.1 or newer.** The script scales each overlay against the base
branch with `scale=w=rw:h=rh`, and those reference constants arrived in 7.1. On an
older build — Ubuntu 24.04's apt ships 6.1 — the graph does not parse and the
error names `rw`, not a version. Check with `ffmpeg -version` before blaming the
EDL; on Debian/Ubuntu the fix is a static build, not `apt install ffmpeg`.

**Escape hatch:** if a request genuinely doesn't fit the EDL model — a speed
ramp, a picture-in-picture inset, audio that actually needs editing — say so and
ask the user how to proceed. Do not improvise around the script.

## Other modes

- `python3 scripts/broll_overlay.py edl.json --dry-run` — validate the EDL and
  print the plan, rendering nothing. Cheap way to check window geometry.
- `python3 scripts/broll_overlay.py edl.json --stats` — window count, lengths,
  coverage, base-return gaps, each marked against the envelope. Never an error.
- `python3 scripts/broll_overlay.py --verify-only FINAL --base BASE [--edl edl.json]`
  — re-check any output against its base, including one from an old session.
  **Pass `--edl` whenever you have it:** without it the check is duration +
  audio only, which a plain copy of the base also passes; with it each window's
  midpoint frame is compared against the base, so a window that composited
  nothing fails. A run without `--edl` says so out loud.

Exit codes: `2` validation, `3` render, `4` verification. A nonzero exit is a
real failure — surface it, don't retry blindly. Renders go to a hidden temp file
beside the output, renamed only after verification passes: a failed run never
leaves a half-written or unverified file at the output path.

## Evals

`evals.md` defines the six scenarios this skill is held to (OV1–OV6).
`scripts/test_broll_overlay.py` implements the mechanical ones against synthetic
fixtures — run it after touching the script.

Files in this skill

  • SKILL.md9.4 KB
  • evals.md16.3 KB
  • routing-eval.jsonl2 KB
  • scripts/broll_overlay.py30.2 KB
  • scripts/test_broll_overlay.py38.6 KB

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.