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# Media operations: agent guidance
media-use resolves and remembers assets. For **operating** on them: cutting,
reframing, stitching, transforming, it does not wrap every action as a bespoke
command. Instead it points you at the right local tool (decision OP1). Run the
tool, then register the output with `resolve --from <output> --type <type>` so the
result lands in the ledger and the global cache like any other asset.
All tools below are local and free. ffmpeg is assumed present (it backs the
engine already).
## Cut / trim: keep a slice
```bash
ffmpeg -i in.mp4 -ss 00:00:12 -to 00:00:20 -c copy out.mp4 # 0:120:20, no re-encode
```
In-composition trimming usually needs **no new file**: a clip plays a sub-window
via `data-media-start` + `data-duration` (see hyperframes-core). Only cut a
physical file when exporting/assembling outside the composition.
## Reframe / crop: change aspect ratio
```bash
# 16:9 -> 9:16, crop centered
ffmpeg -i in.mp4 -vf "crop=ih*9/16:ih,scale=1080:1920" out.mp4
```
For a non-destructive crop, set a `clip-path` on the element in the composition
itself (render-time, source file untouched) instead of re-encoding with ffmpeg.
## Montage / stitch: join clips
```bash
printf "file '%s'\n" a.mp4 b.mp4 c.mp4 > list.txt
ffmpeg -f concat -safe 0 -i list.txt -c copy out.mp4
```
## Silence-cut / highlight: trim dead air, grab the best moment
```bash
auto-editor in.mp4 --edit audio:threshold=4% -o tight.mp4 # pip install auto-editor
scenedetect -i in.mp4 detect-adaptive list-scenes # pip install scenedetect
```
## Transforms with a quality choice (process)
These have a local option AND a higher-quality HeyGen-CLI option. Run the local
one for free/offline; use the HeyGen CLI when quality matters. Showing the user
a **side-by-side** (local vs HeyGen) is the honest way to let them choose.
| Op | Local (free) | HeyGen CLI (quality) |
| ------------------ | -------------------------------------------------- | --------------------------- |
| Background removal | `hyperframes remove-background in.png` (u2net) | `heygen background-removal` |
| Upscale | `realesrgan-ncnn-vulkan -i in.png -o out.png -s 4` | n/a |
| Lipsync (dub) | n/a | `heygen lipsync` |
| Translate | n/a | `heygen video-translate` |
After any op: `resolve --from out.ext --type <type>` to register the derived
asset (it records provenance and auto-promotes to the global cache).
> ponytail: media-use doesn't re-wrap ffmpeg/heygen here, that's deliberate
> (OP1). The value it adds is the ledger + global reuse on the _output_, via
> `--from`. Add a thin `process` verb only if agents repeatedly fumble these
> recipes.
## Transcription (default: Parakeet, better than whisper.cpp)
`transcribe.mjs` is the default local transcription path. It runs **NVIDIA
Parakeet-TDT via parakeet-mlx**, which beats whisper.cpp on the Open ASR
Leaderboard (avg WER ~6.05% vs 7.44%; on NOISY audio 4.73% vs 5.96%, where
whisper-large-v3 hallucinated to 308% WER on meetings) and is 5-10x faster.
It emits `{ text, words:[{text,start,end}] }` with word timestamps (merged from
Parakeet's sub-word tokens), feeding transcript-cut, captions, and the audio
engine directly.
```bash
# install once: uv venv ~/.venvs/parakeet && VIRTUAL_ENV=~/.venvs/parakeet uv pip install parakeet-mlx
node <SKILL_DIR>/scripts/transcribe.mjs --input talk.mp4 --out talk.transcribe.json
# equivalently, the hyperframes CLI has Parakeet built in (auto-detects it, whisper fallback):
npx hyperframes transcribe talk.mp4 --engine parakeet # or --engine auto (default)
```
VERIFIED on 24GB: accurate, ~3s (cached) for 8s audio. Parakeet covers English +
25 European languages. For other languages, or when parakeet-mlx is not
installed, transcribe.mjs auto-falls-back to whisper.cpp (99 languages) via
`hyperframes transcribe`. `--engine parakeet|whisper` forces one. (Cohere
Transcribe tops the leaderboard on paper but its mlx-audio quants produced
garbage and ran 40-70x slower on a Mac in testing, so it is not wired in.)
## Text-based editing (transcript cut)
`transcript-cut.mjs` is a compiler, not a wrapper: it turns word timestamps and
agent cut decisions into exact kept segments. It is provided even though the rest
of this file is guidance-only.
```bash
node <SKILL_DIR>/scripts/transcript-cut.mjs \
--input talk.mp4 \
--transcript talk.transcribe.json \
--remove "12.41-15.02,88.3-91.7" \
--remove-fillers "um,uh,like" \
--cut-silence 0.8 \
--out talk.cut.mp4
resolve --from talk.cut.mp4 --type video
```
Use `--plan` first when you want to inspect the kept segment JSON before encoding.
## Ducking (declare in-composition / bake for export)
B1, declare ducking in the composition. `audio-duck.mjs` emits GSAP volume
keyframes. Paste them into the composition timeline, the source file stays
untouched.
```bash
node <SKILL_DIR>/scripts/audio-duck.mjs \
--meta audio_meta.json \
--target "#bgm" \
--composition index.html
```
```js
// auto-duck: #bgm under narration (generated; base volume 0.6)
tl.to("#bgm", { volume: 0.15, duration: 0.15 }, 3.42);
tl.to("#bgm", { volume: 0.6, duration: 0.4 }, 9.87);
```
B2, bake ducking only for exported or standalone files.
```bash
ffmpeg -i bgm.mp3 -i voice.wav \
-filter_complex "[0][1]sidechaincompress=threshold=0.03:ratio=8:attack=200:release=400[ducked]" \
-map "[ducked]" bgm.ducked.wav
```
Declare inside compositions. Bake only for assets leaving the hyperframes
pipeline.
## Publish loudness
Two-pass `loudnorm` measures first, then applies the measured values with the
target LUFS baked in.
Socials target, -14 LUFS:
```bash
ffmpeg -i mix.wav \
-af loudnorm=I=-14:TP=-1.5:LRA=11:print_format=json \
-f null -
ffmpeg -i mix.wav \
-af loudnorm=I=-14:TP=-1.5:LRA=11:measured_I=<input_i>:measured_TP=<input_tp>:measured_LRA=<input_lra>:measured_thresh=<input_thresh>:offset=<target_offset>:linear=true:print_format=summary \
mix.social.wav
```
Podcast target, -16 LUFS:
```bash
ffmpeg -i mix.wav \
-af loudnorm=I=-16:TP=-1.5:LRA=11:print_format=json \
-f null -
ffmpeg -i mix.wav \
-af loudnorm=I=-16:TP=-1.5:LRA=11:measured_I=<input_i>:measured_TP=<input_tp>:measured_LRA=<input_lra>:measured_thresh=<input_thresh>:offset=<target_offset>:linear=true:print_format=summary \
mix.podcast.wav
```
## Generate: images (local first, cloud upsell)
`resolve --type image` retrieves from the HeyGen catalog first; on a miss it
GENERATES. Two paths, best-for-the-machine picked automatically:
1. **Local (default, free, private): mflux** (FLUX-on-MLX). `resolve` spec-checks
AVAILABLE RAM and runs the best FLUX-class model that fits, via
`scripts/lib/local-models.mjs` (`imagegen` ladder) + `mflux-provider.mjs`.
The RAM ladder (agent sees it via `describeModelLadder("imagegen", specs)`):
| Tier | Model | Needs (available RAM) | Notes |
| ------ | -------------------- | --------------------- | ----------------------------------- |
| medium | FLUX.1 schnell int4 | ~8GB (`--low-ram`) | ~20s/512px on 24GB. VERIFIED. Fast. |
| large | FLUX.2 Klein 4B int4 | ~32GB | higher quality, full-resident |
| xlarge | Qwen-Image | ~64GB | top quality, 64GB+ Macs only |
Gotchas baked into the table: the official FLUX repos are HF-gated, so it
points at non-gated community 4-bit re-uploads; and `--low-ram` is MANDATORY
at the medium tier (without it a 768x512 run swap-thrashed to 90 minutes on
24GB; with it, 20 seconds).
2. **Cloud upsell (better quality): the `codex` CLI** `image_gen` tool, on the
user's ChatGPT subscription (codex owns auth, no key here, no per-call
charge). It is the automatic fallback when no local model fits AND the
explicit "make it better" choice on any machine. Users who just want codex
can ask for it directly. Verified: prompt -> raster -> frozen + ledgered.
`--local-only` keeps mflux (once cached) and skips codex (network).
## Generate: video (local first, HeyGen avatar upsell)
Operate-on-video ships now; GENERATING video is local-first with a HeyGen
avatar upsell (decision X3).
- **Local (default): LTX 2.3 on MLX** via `dgrauet/ltx-2-mlx`, the `videogen`
ladder in `local-models.mjs`. Generative clips (t2v / i2v), spec-gated to RAM.
Verified on 24GB: 512x320 x 33f with audio.
- **HeyGen avatar upsell (better, script-driven): the `heygen` CLI**, NOT the
raw API. For a talking-head / avatar video, `heygen video create` (avatar
engine IV by default) beats a generative clip when you want a real presenter.
Browser OAuth uses the web-plan/free avatar-video allowance where eligible;
API keys follow the normal API billing path:
```bash
# discover an avatar + a starfish voice, then create + wait
heygen avatar list --ownership public --limit 5
heygen voice list --engine starfish --limit 5
heygen video create --wait -d '{
"type": "avatar",
"avatar_id": "<avatar-id>",
"script": "Your narration here.",
"voice_id": "<voice-id>"
}'
```
Avatar videos are deterministic + script-driven (lip-sync from a script or a
pre-recorded `audio_url`), distinct from the generative LTX clips. After it
renders, `resolve --from <downloaded.mp4> --type video` to ledger it.
@@ -0,0 +1,50 @@
# media-use usage dashboard (PostHog)
Reproducible definition of the media-use usage dashboard. The dashboard answers
"how much is media-use used, for what, is reuse working, and what can't it
satisfy" from the telemetry `scripts/lib/telemetry.mjs` already emits. Build it
in PostHog project **Hyperframes (356858)**; this doc is the source of truth so
it can be recreated. Local complement: `resolve --stats` (same questions, from
`.media/` + `~/.media`, no PostHog access needed).
## Identity (see `scripts/lib/telemetry.mjs`)
Events attribute to the **same PostHog person as the hyperframes CLI and studio**
— the shared install id in `~/.hyperframes/config.json` (`anonymousId`), stitched
to the HeyGen account (`$identify`, `distinct_id` = email/username) on sign-in.
Not fully anonymous by design; pseudonymous before sign-in, account-linked after.
`$ip:null`. Opt-out: `HYPERFRAMES_NO_TELEMETRY=1` / `DO_NOT_TRACK=1` (also CI, dev).
## Event catalog (verified present in-project)
Every event carries `surface: "media-use"`. Event **properties are coarse**
never intent text, file names, or paths.
| Event | Fires on | Key properties |
| ---------------------------------------------------------------------- | ----------------------------------------- | ---------------------------------------------------------------------- |
| `media_use_resolve` | a resolve that produced/returned an asset | `type`, `source`, `provider`, `via`, `local_only`, `provider_override` |
| `media_use_resolve_miss` | a resolve that found nothing | `type`, `local_only`, `provider_override` (no intent) |
| `media_use_candidates` | `--candidates` / `--dry-run` listing | `type`, counts |
| `media_use_doctor_run` | `--doctor` | `ok`, `checks_failed`, `failed[]` |
| `media_use_compare` | `grade-compare` / `compare` | `command`, `cells`, `truncated`, `total`, `render_ready_timed_out` |
| `media_use_transcribe` · `media_use_duck` · `media_use_transcript_cut` | audio-engine ops | op-specific |
## Dashboard tiles
1. **Invocation volume**`query-trends`, count of `media_use_resolve` over time (daily). "How much."
2. **By media type**`media_use_resolve` broken down by `type` (bgm/sfx/image/icon/logo/voice/grade/lut). "For what."
3. **Resolve hit-rate** — trends formula: `A / (A + B)` where A = `media_use_resolve`, B = `media_use_resolve_miss`. "Is the catalog covering needs."
4. **Provider mix**`media_use_resolve` broken down by `provider`; a second tile by `via` (`url` / `params-fallback` / `params`) to catch CDN→params LUT downgrades.
5. **Top misses**`media_use_resolve_miss` broken down by `type` (the tuning signal — pair with local `resolve --stats`, which also shows the missed _intents_ that telemetry deliberately omits).
6. **Doctor health**`media_use_doctor_run` broken down by `failed[]` (which dependency check fails most) + `checks_failed` distribution.
7. **Compare cost**`media_use_compare` by `command`, plus `truncated` / `render_ready_timed_out` rates (observe before lifting the 16-cell cap).
8. **Adoption (optional)** — if the `first_run` property ships (plan U5), segment `media_use_resolve` first-run vs repeat.
## Recreate via the PostHog MCP
For each tile: `read-data-schema` to confirm the event/property, then a
`query-*` tool (`query-trends` for 17), then `insight-create`, then
`dashboard-create` collecting the insights. Keep names prefixed `media-use:` so
the dashboard is greppable. Cross-surface note: because identity is shared with
CLI/studio, you can also break these down by the same person across `cli_command*`
and `studio:*` events.