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extract-source-sample

Given the path to a finished content-goose ad-run folder, extract everything that defines that ad — recipe shot list, VO script, characters, voices, world, atom-skills, master mp4 — and emit a `source-sample.json` in the exact shape the `upload-ad-sample` skill writes to the Goose Ads library. Also links every character and voice to the central character library at `<repo-root>/assets/character-library/` (repo-root derived from the run-dir, not a hardcoded path), and if a character isn't in the library yet, adds it first then links. Use when the user wants to remix one of their existing ads — this skill produces the source JSON that the script-rewriting step and `remix-ad` consume.

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criptogus/agent-evolve-network
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July 4, 2026 at 17:42
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extract-source-sample
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Given the path to a finished content-goose ad-run folder, extract everything that defines that ad — recipe shot list, VO script, characters, voices, world, atom-skills, master mp4 — and emit a `source-sample.json` in the exact shape the `upload-ad-sample` skill writes to the Goose Ads library. Also links every character and voice to the central character library at `<repo-root>/assets/character-library/` (repo-root derived from the run-dir, not a hardcoded path), and if a character isn't in the library yet, adds it first then links. Use when the user wants to remix one of their existing ads — this skill produces the source JSON that the script-rewriting step and `remix-ad` consume.
# extract-source-sample This is an **agent-executed** skill. There are no Python scripts. The agent reads the run folder, builds the JSON, and stamps catalog links by hand. The content-goose run folders aren't always cleanly structured (some have empty production/ JSON, some carry everything in working/) — an agent adapts, a script would brittle out. ## When to use - "Extract the source-sample.json for `<run>`." - "Get the upload-sample JSON for this ad so I can remix it." - "Prep `<run>` for remix." Do NOT use to: - Rewrite the script for a new brand (that's a separate agent step that consumes this skill's output). - Render the remix (that's the existing `remix-ad` skill). - Upload an ad to the library (that's `upload-ad-sample`). ## Inputs | Input | Required | Notes | |---|---|---| | `run-dir` | yes | Absolute path to a content-goose ad-run folder (e.g. `clients/ladder/ad-runs/run-02-podcast-skit`). | | `out` | no | Where to write the JSON. Default: `<run-dir>/remix/source-sample.json`. | That's the entire interface. ## What the agent must do ### 1. Read the run Open each file if it exists; tolerate missing files (most production/*.json in older runs are empty stubs — fall back to `working/`): - `working/script.json` — **primary source of truth** for scenes, voices, set. - `production/asset-manifest.json` — `assets[]` with role `active_master` points at the master mp4; per-asset `provider` + `metadata.model` produce the atom-skill rows. - `HOW_TO_MAKE_THIS_VIDEO.md` — gets dumped verbatim into `how_to`. - `video-project.json` — fallback for title / format when script.json doesn't carry them. - `finals/*.mp4` — fallback for the master mp4 if asset-manifest is empty. - `working/characters/*.png` — anchor portraits per character. - `working/*.py` — driver scripts (`render_vo.py`, `render_variants.py`, `render_clips.py`, `stitch.py`, `build_end_card.py`, etc.). These are the source's runnable code; the remix consumer ports them. Capture in `production_scripts[]` (step 2 below). **For sources with character-pose stills** (any run with a `working/characters/` folder of `<character>-<pose>.png` files — podcast-skit, founder-led, testimonial, recreate-ugc, etc.), audit every PNG with `file`. Do NOT stop at the base portraits. The recipe shot list references variant expression PNGs (e.g. `brittney-eyebrow-up.png`, `brad-phone-up.png`) by filename; the consumer assumes they exist on disk and will spend real money on lipsync calls before discovering they don't. For sources without character-pose stills (music-video b-roll, abstract animated, product-only) — skip this audit; `variant_assets[]` stays empty. Record per file (when auditing): ```jsonc { "file": "brittney-eyebrow-up.png", "pose_tag": "skeptical-eyebrow", // slug from filename stem "kind": "real" | "lfs-pointer" | "missing", "size_bytes": 142336 } ``` `file <path>` says `PNG image data, …` for real binaries and `ASCII text` for LFS pointers. A real binary is `>10KB` in practice; an LFS pointer is `<200 bytes`. **Materialize LFS pointers before reading any binary.** An LFS pointer is a tiny (<200 byte) ASCII file beginning with `version https://git-lfs.github.com`. If a PNG or mp4 looks like one, run: ```bash cd <run-dir-or-repo-root> git lfs fetch --include=<relative path> git lfs checkout <relative path> ``` before referencing it. **If `git lfs pull` no-ops and the LFS endpoint returns 404** (objects committed as pointers but never pushed — common on content-goose), leave the entry as `kind: "lfs-pointer"` in `variant_assets[]`. The consumer will regenerate or scrape; this skill does NOT fabricate. See [[feedback_lfs_pointer_audit_before_paid_calls]] and [[feedback_fal_subscribe_error_envelope]] for the downstream cost when this audit is skipped — Hume run-03 lost ~$3 + 25 min to it. ### 2. Build `source-sample.json` Shape (every key always present, arrays may be empty): ```jsonc { "title": "<from script.json or video-project.json>", "format": "video", "ratio": "<aspect_ratio from script.json — e.g. 9:16>", "formatProfile": "podcast-skit-fabricated", // enum, see below "media_url": "file://<abs path to master mp4>", "thumbnail_url": null, "brand": "<derive from path: clients/<brand>/ad-runs/...>", "tags": [], "recipe": { "shots": [...], "total_duration_sec": <int> }, "extracted_script": "HER: …\nHIM: …\n…", "skills_used": ["generate-voiceover", "..."], // atoms only "skills_source": "measured" | "derived-from-production-scripts" | "inferred-canonical" | "guessed", "how_to": "<contents of HOW_TO_MAKE_THIS_VIDEO.md or null>", "production_scripts": [ { "path": "working/render_vo.py", "role": "voiceover" }, { "path": "working/render_variants.py", "role": "stills" }, { "path": "working/render_clips.py", "role": "lipsync" }, { "path": "working/stitch.py", "role": "stitch" }, { "path": "working/build_end_card.py", "role": "end_card" } ], "remix_spec": { "version": 1, "skills": [{"slug": "...", "provider": "...", "model": "..."}], "worlds": [{"key": "...", "name": "...", "set": "...", "lighting": null, "color_grade": null, "reference_image_url": null, "catalog_id": null}], "characters": [ { "key": "her", "name": "Brittney", "gender": "f", "soul_id": null, "anchor_asset_id": "asset-char-her-base-01", "anchor_image_url": "file://...png", "method": "anchor-ref", "description": null, "catalog_id": "brittney", "variant_assets": [ { "file": "brittney-base.png", "pose_tag": "base", "kind": "real", "size_bytes": 1842336 }, { "file": "brittney-eyebrow-up.png", "pose_tag": "skeptical-eyebrow", "kind": "lfs-pointer", "size_bytes": 132 }, { "file": "brittney-shrug.png", "pose_tag": "shrug", "kind": "missing", "size_bytes": 0 } ] } ], "voices": [{"voice_id": "kPzsL2i3teMYv0FxEYQ6", "voice_name": "Brittney", "provider": "elevenlabs", "settings": {"stability": 0.45, "similarityBoost": 0.78, "style": 0.45, "useSpeakerBoost": true}, "selected": true, "catalog_id": "brittney"}] } } ``` #### `formatProfile` — open string, drives downstream pipeline choices A short slug naming the source's ad format. **Open vocabulary** — the content-goose molecule library has ~40 distinct ad formats and growing; don't try to fit a closed enum. Pick a slug that matches the source's molecule name (e.g. `create-podcast-skit-ad` → `podcast-skit-fabricated`, `create-cinematic-music-video` → `music-video-sung`), or invent a new short slug when none fits. The consumer (`remix-script`, `remix-ad`) routes on the slug. Two routing properties downstream cares about — record them alongside the profile so the consumer doesn't have to re-derive: ```jsonc "formatProfile": "podcast-skit-fabricated", "formatProfileProperties": { "audioType": "spoken-vo" | "sung-music" | "mixed", "sceneCount": "flexible" | "locked-to-source" } ``` - `audioType` drives the caption pipeline (spoken-vo → Whisper word-level; sung-music → script.json scene windows, because Whisper returns `🎵 Music Playing 🎵`; mixed → split per segment). - `sceneCount` drives whether the remix can flex (most spoken formats) or must lock 1:1 (sung-music, anywhere lyric meter sets timing). If you can't confidently assign either property, leave it `null` — the consumer surfaces to the user rather than guessing. **Known slugs from past runs (extend as new formats appear):** | Slug | audioType | sceneCount | Origin | |---|---|---|---| | `podcast-skit-fabricated` | `spoken-vo` | `flexible` | Ladder run-02 (HER/HIM, 22 scenes, talking-head + broll) | | `music-video-sung` | `sung-music` | `locked-to-source` | Loóna run-01 (single VOCAL track, 14 lyric-locked beats) | The two known slugs are what real retros produced. Add new rows here when you extract a source that fits a new molecule (single-host-ugc, animated- explainer-villain, stop-motion-tabletop, goose-vs-tool, hook-variant, etc.). Don't pre-invent slugs that haven't shipped yet. Per-section derivation: - **`recipe.shots[]`** — one shot per scene in `script.json.scenes[]`: `{ "id": "s01", "shot": "<still filename>", "type": "<shot type>", "speaker": "HER|HIM|null", "duration_sec": <parsed from `time` field e.g. "0:02-0:05"→3> }`. Sum durations into `total_duration_sec`. **Add `pose_tag` ONLY when the filename matches `<character>-<pose>.png`** (the character-pose convention used by podcast-skit and other character-led formats). Derive it by stripping the character prefix from the filename stem (e.g. `brittney-eyebrow-up.png` → `pose_tag: "eyebrow-up"`, `brad-phone-up.png` → `pose_tag: "phone-up"`). For formats whose shots aren't keyed to character poses (music-video b-roll, product hyperframes, abstract animated scenes), omit `pose_tag` from the shot. - **`extracted_script`** — concatenate `<who>: <text>` per scene, newlines between. - **`remix_spec.worlds[0]`** — derive from `script.json.set_description`: `{ key: <slug of the run's setting label>, name: <human label>, set: <full set_description>, lighting: null, color_grade: null, reference_image_url: null, catalog_id: null }`. - **`remix_spec.characters[]`** — one per voice role (HER, HIM, …) in `script.json.voices`: - `key`: `"her"` / `"him"` (lowercase role) - `name`: `voices.<role>.name` - `gender`: HER→`"f"`, HIM→`"m"`, NB→`"nb"` - `soul_id`: null unless the run has a Higgsfield Soul anchor - `anchor_asset_id`: `"asset-char-<key>-base-01"` if an anchor PNG exists, else null - `anchor_image_url`: `file://` URL to `working/characters/<name>-base.png` (or the first png matching the lowercase name), else null - `method`: `"anchor-ref"` if anchor PNG present, else null - `description`: null unless surfaced in the run's how-to - `catalog_id`: stamped in step 3. - **`variant_assets[]`**: emit ONLY when the source uses character-pose stills (the `<character>-<pose>.png` filename convention). One entry per PNG in `working/characters/` whose filename starts with the character's lowercase name. Each entry `{file, pose_tag, kind: real|lfs-pointer|missing, size_bytes}` — derived from the `file` audit in step 1. **This is the canary the consumer needs to decide whether to regenerate variants before paid lipsync calls.** Include the base entry too (`pose_tag: "base"`). For formats without per-character pose stills (music-video, animated, product-only), set `variant_assets: []` or omit the key. - **`remix_spec.voices[]`** — one per voice in `script.json.voices`: - `voice_id`, `voice_name` (from `name`), `provider: "elevenlabs"` - `settings`: copy from script's `settings`, **rename to camelCase**
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