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make-vox

Preis unbestätigt★ 206 GitHub-StarsVerzeichnis aktualisiert · 3. Sept. 2026agent-skill

Übersicht

Build a Vox-style LAYERED-COLLAGE vertical short end-to-end — script + scene dissection into image layers, layer production (AI images via gen_image.py + cutout.py, HTML→PNG, SVG-in-TSX), choreographed TSX assembly on the collage kit (CollageBoard camera, parallax, cutouts, chips, routes), frame QA, render, then voice/SFX via the shared machinery. Use when the user wants a "vox style", documentary, or explainer-collage short, a map-travel or archival-history sequence, or to continue the vox-N series — the paper-collage look, not plain TSX animation (that is make-short) and not video-model pixels (that is make-ai-short). Defers raw TSX crash rules to vidtsx-2d-generator and SFX taste to suggest-sfx.

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make-vox — layered-collage documentary shorts, end to end

Every scene is DISSECTED into separate image layers (paper board, die-cut subjects, maps, archival prints, label chips, arrows) and the TSX side choreographs the layers so they assemble on screen. Polish = many simple staggered layer moves + a virtual camera — never complex per-image animation. The visual language + architecture live in vox-shorts/DESIGN.md (read it first); this skill is the build pipeline. Proven on vox-1 (coffee).

Run everything from the repo root. Layer production needs extra Python deps (the only tools in this repo that do): pip install pillow rembg (die-cuts) and pip install playwright && playwright install chromium (HTML→PNG captures).

Artifact contract

vox-shorts/vox-N-<topic>/
  script.md        — beat sheet: per scene → on-screen layers + camera + (VO)
  scenes.json      — optional machine contract once voice lands (like beats.json)
  voice/ · sfx-plan.json · output/        (same machinery as the short-N flow) [voice/output gitignored]
remotion/src/shots/vox-N/VoxN<Name>.tsx   — THE composition
media/projects/vox-N-<topic>/layers/      — every generated layer + gen_image sidecars (committed)

Kit: remotion/src/lib/collage.tsx — CollageBoard (camera keyframes + parallax context), Cutout, ArchivalPhoto, PaperBG, LabelChip, SerifStatement, SketchArrow, Grain, VOX palette. Grow the kit generically; project-specific hacks stay in the shot.

Format

1080×1920 @30, 35–45s. The hook grammar of make-short applies: composed frame 0, loop-friendly tail, no CTA outros.

Stage 1 — script + scene dissection

Write script.md: scenes with, for EACH scene — the camera move (anchor x/y/zoom), the layer list (what image, which source, entrance + timing), annotations (chips/routes/statements). Facts verified before scripting. A scene is 2–6 layers; if you can't name the layers, the scene isn't designed yet.

Stage 2 — layer production (cheapest source that works, reuse first)

Photographic subjects / textures / maps / archival prints → python tools/gen_image.py, then python tools/cutout.py for die-cuts (rembg auto; white-key is the no-deps fallback and FAILS on contact shadows — don't fight it, install rembg).
- Maps/archival: prompt "NO text, no labels" — AI text is gibberish; chips annotate instead.
- Cutout subjects: "isolated on plain white background" still helps rembg edge quality.
Charts / UI / documents / styled text blocks → HTML file + Playwright screenshot (python tools/capture_web.py, omitBackground for alpha).
Arrows, routes, shapes → SVG directly in TSX (SketchArrow etc.) — never rasterize.
Layers land in media/projects/vox-N-<topic>/layers/; anything reusable by 2+ videos graduates to media/library/.

Stage 3 — TSX assembly (the choreography)

ONE CollageBoard cam={CAM} at the root; scenes are <Sequence layout="none">s INSIDE it so the camera travels ACROSS scene boundaries. Cam keys are GLOBAL frames; entrance ats are LOCAL to their Sequence (the classic local-frame bug — check every cue).
Persistent scenery (a map under two scenes) gets its own long Sequence; annotations get a shorter one wrapped in a fade-out so they leave before the next scene composes over them.
Geometry pattern: place big layers via constants (MAP = {cx,cy,w}) and derive annotation positions as fractions of the layer (mapPt(0.24, 0.52)), so re-generating art only means re-eyeballing two fractions.
Depth taste: background board −0.06, scenery 0–0.05, foreground props 0.08–0.15. Every layer keeps its idle drift (default) — nothing fully freezes.
Contrast rule (locked): SerifStatement over any busy layer (map/photo) MUST use backing; light-accent chips (VOX.yellow) need dark kickerColor. Headlines are FONT_EDITORIAL (Source Serif 4 @700) — don't swap fonts per video.
Hard rules (frame-based only, monotonic interpolate, Easing.bezier, <Img> never <img>) → vidtsx-2d-generator.

Stage 4 — QA (do not skip; it caught real bugs on vox-1)

cd remotion && npm run gen
node scripts/frames.mjs VoxNName <f0,entrance-cues,camera-arrivals,transitions,last> --scale=0.5

READ every PNG: every entrance landed · camera framing at each arrival (nothing critical cropped) · text contrast over its actual background · cutout edges clean (re-cutout, don't mask in TSX) · scene handoffs (fading annotations gone before the next scene needs the space). Then node scripts/render-all.mjs VoxNName --scale=1 and spot-check frames FROM THE MP4.

Stage 5 — voice

python tools/gen_voice.py --beats … --emit-ts exactly as make-short Stage 4 (word-exact captions if the format wants captions; documentary style often runs caption-free).

Stage 6 — SFX/music (suggest-sfx machinery)

Collage taste: paper slides on entrances, soft thuds on place landings, whooshes on camera moves, route-draw scribbles — sparse and editorial, decorative cues optional: true. The user's ear is the audit gate.

Done =

script.md scenes each name their layers · all layers generated + sidecars in media/projects · composition QA'd at cues and from the final mp4 · contrast rule honored · voice + SFX when requested · kit additions generic.

Quelle ansehen ↗

Dateimetadaten

name: make-vox
description: Build a Vox-style LAYERED-COLLAGE vertical short end-to-end — script + scene dissection into image layers, layer production (AI images via gen_image.py + cutout.py, HTML→PNG, SVG-in-TSX), choreographed TSX assembly on the collage kit (CollageBoard camera, parallax, cutouts, chips, routes), frame QA, render, then voice/SFX via the shared machinery. Use when the user wants a "vox style", documentary, or explainer-collage short, a map-travel or archival-history sequence, or to continue the vox-N series — the paper-collage look, not plain TSX animation (that is make-short) and not video-model pixels (that is make-ai-short). Defers raw TSX crash rules to vidtsx-2d-generator and SFX taste to suggest-sfx.

Originaltext anzeigen

---
name: make-vox
description: Build a Vox-style LAYERED-COLLAGE vertical short end-to-end — script + scene dissection into image layers, layer production (AI images via gen_image.py + cutout.py, HTML→PNG, SVG-in-TSX), choreographed TSX assembly on the collage kit (CollageBoard camera, parallax, cutouts, chips, routes), frame QA, render, then voice/SFX via the shared machinery. Use when the user wants a "vox style", documentary, or explainer-collage short, a map-travel or archival-history sequence, or to continue the vox-N series — the paper-collage look, not plain TSX animation (that is make-short) and not video-model pixels (that is make-ai-short). Defers raw TSX crash rules to vidtsx-2d-generator and SFX taste to suggest-sfx.
---

# make-vox — layered-collage documentary shorts, end to end

Every scene is DISSECTED into separate image layers (paper board, die-cut subjects, maps,
archival prints, label chips, arrows) and the TSX side choreographs the layers so they
assemble on screen. Polish = many simple staggered layer moves + a virtual camera — never
complex per-image animation. The visual language + architecture live in
**`vox-shorts/DESIGN.md`** (read it first); this skill is the build pipeline. Proven on
vox-1 (coffee).

Run everything from the repo root. Layer production needs extra Python deps (the only tools
in this repo that do): `pip install pillow rembg` (die-cuts) and `pip install playwright &&
playwright install chromium` (HTML→PNG captures).

## Artifact contract

```
vox-shorts/vox-N-<topic>/
  script.md        — beat sheet: per scene → on-screen layers + camera + (VO)
  scenes.json      — optional machine contract once voice lands (like beats.json)
  voice/ · sfx-plan.json · output/        (same machinery as the short-N flow) [voice/output gitignored]
remotion/src/shots/vox-N/VoxN<Name>.tsx   — THE composition
media/projects/vox-N-<topic>/layers/      — every generated layer + gen_image sidecars (committed)
```

Kit: `remotion/src/lib/collage.tsx` — `CollageBoard` (camera keyframes + parallax context),
`Cutout`, `ArchivalPhoto`, `PaperBG`, `LabelChip`, `SerifStatement`, `SketchArrow`, `Grain`,
`VOX` palette. Grow the kit generically; project-specific hacks stay in the shot.

## Format

1080×1920 @30, 35–45s. The hook grammar of make-short applies: composed frame 0,
loop-friendly tail, no CTA outros.

## Stage 1 — script + scene dissection

Write `script.md`: scenes with, for EACH scene — the camera move (anchor x/y/zoom), the layer
list (what image, which source, entrance + timing), annotations (chips/routes/statements).
Facts verified before scripting. A scene is 2–6 layers; if you can't name the layers, the
scene isn't designed yet.

## Stage 2 — layer production (cheapest source that works, reuse first)

- Photographic subjects / textures / maps / archival prints → `python tools/gen_image.py`, then
  `python tools/cutout.py` for die-cuts (rembg auto; white-key is the no-deps fallback and
  FAILS on contact shadows — don't fight it, install rembg).
  - Maps/archival: prompt "NO text, no labels" — AI text is gibberish; chips annotate instead.
  - Cutout subjects: "isolated on plain white background" still helps rembg edge quality.
- Charts / UI / documents / styled text blocks → HTML file + Playwright screenshot
  (`python tools/capture_web.py`, `omitBackground` for alpha).
- Arrows, routes, shapes → SVG **directly in TSX** (SketchArrow etc.) — never rasterize.
- Layers land in `media/projects/vox-N-<topic>/layers/`; anything reusable by 2+ videos
  graduates to `media/library/`.

## Stage 3 — TSX assembly (the choreography)

- ONE `CollageBoard cam={CAM}` at the root; scenes are `<Sequence layout="none">`s INSIDE it
  so the camera travels ACROSS scene boundaries. Cam keys are GLOBAL frames; entrance `at`s
  are LOCAL to their Sequence (the classic local-frame bug — check every cue).
- Persistent scenery (a map under two scenes) gets its own long Sequence; annotations get a
  shorter one wrapped in a fade-out so they leave before the next scene composes over them.
- Geometry pattern: place big layers via constants (`MAP = {cx,cy,w}`) and derive annotation
  positions as fractions of the layer (`mapPt(0.24, 0.52)`), so re-generating art only means
  re-eyeballing two fractions.
- Depth taste: background board −0.06, scenery 0–0.05, foreground props 0.08–0.15. Every
  layer keeps its idle drift (default) — nothing fully freezes.
- **Contrast rule (locked):** `SerifStatement` over any busy layer (map/photo) MUST use
  `backing`; light-accent chips (VOX.yellow) need dark `kickerColor`. Headlines are
  FONT_EDITORIAL (Source Serif 4 @700) — don't swap fonts per video.
- Hard rules (frame-based only, monotonic interpolate, Easing.bezier, `<Img>` never `<img>`)
  → vidtsx-2d-generator.

## Stage 4 — QA (do not skip; it caught real bugs on vox-1)

```
cd remotion && npm run gen
node scripts/frames.mjs VoxNName <f0,entrance-cues,camera-arrivals,transitions,last> --scale=0.5
```
READ every PNG: every entrance landed · camera framing at each arrival (nothing critical
cropped) · text contrast over its actual background · cutout edges clean (re-cutout, don't
mask in TSX) · scene handoffs (fading annotations gone before the next scene needs the space).
Then `node scripts/render-all.mjs VoxNName --scale=1` and spot-check frames FROM THE MP4.

## Stage 5 — voice

`python tools/gen_voice.py --beats … --emit-ts` exactly as make-short Stage 4 (word-exact
captions if the format wants captions; documentary style often runs caption-free).

## Stage 6 — SFX/music (suggest-sfx machinery)

Collage taste: paper slides on entrances, soft thuds on `place` landings, whooshes on camera
moves, route-draw scribbles — sparse and editorial, decorative cues `optional: true`.
The user's ear is the audit gate.

## Done =

script.md scenes each name their layers · all layers generated + sidecars in media/projects ·
composition QA'd at cues and from the final mp4 · contrast rule honored · voice + SFX when
requested · kit additions generic.

Quelle prüfen

Preis und Betriebskosten

Skill beziehen: Preis unbestätigt
Ausführen: Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
Lizenz: MIT
Preis unbestätigt: Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.

Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →

Skill-Quelle erfasst

Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.

Vor Installation prüfen: Automatische Installation vermeiden

Lizenz: MIT

Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
Quality score needs review

Vollständiges Audit öffnen

Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.

Mit einer kleinen Aufgabe beginnen

1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.

Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.

Quelle und Nutzungshinweise

Erfasst

Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.

Quell-Repository: hassancs91/claude-faceless-shorts-creator
Lizenz: MIT
Version: 1.0.0
Letzter GitHub-Push: 18. Aug. 2026
Verzeichnis aktualisiert: 3. Sept. 2026
Anleitungspfad: .claude/skills/make-vox/SKILL.md @ 773054bebbe4

Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.

Qualität

67/100

Vielversprechend

Vertrauen

69/100

Nur Sandbox

Audit

78/100

Riskant

Vollständiges Audit öffnen Eval-Bericht ansehen

Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
Quality score needs review

Verified installs: —
Ergebnisse: —

Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.

Agent-Zugang

Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.

Installations-API öffnen LLM-Textformat Manifest öffnen Auto-Auflösungsplan

Weitere Details

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    },
    "auto_install": {
      "allowed": false,
      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
      "design-creative",
      "agent-skill"
    ],
    "known_risks": [
      "This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
      "Quality score needs review"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 78,
    "risk_level": "risky",
    "risk_label": "Risky",
    "warnings": [
      "Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required",
      "This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
      "Quality score needs review"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 67,
    "label": "Promising"
  },
  "supply": {
    "track": "Design and creative production",
    "scenario": "Design and creative",
    "maintenance": "2mo since push",
    "risk": "Risky"
  },
  "alternative_skills": [
    {
      "slug": "latent-spaces-brag-slim",
      "name": "brag-slim",
      "url": "https://www.openagentskill.com/skills/latent-spaces-brag-slim",
      "stars": 13807,
      "install_command": "npx skills add latent-spaces/brag --skill brag-slim",
      "trust_score": 81,
      "audit_score": 84
    },
    {
      "slug": "krillinai-krillinai-render-horizontal",
      "name": "krillinai-render-horizontal",
      "url": "https://www.openagentskill.com/skills/krillinai-krillinai-render-horizontal",
      "stars": 12876,
      "install_command": "npx skills add krillinai/OpenCreator --skill krillinai-render-horizontal",
      "trust_score": 82,
      "audit_score": 85
    },
    {
      "slug": "orchestra-research-nemo-curator",
      "name": "nemo-curator",
      "url": "https://www.openagentskill.com/skills/orchestra-research-nemo-curator",
      "stars": 13443,
      "install_command": "npx skills add Orchestra-Research/AI-Research-SKILLs --skill nemo-curator",
      "trust_score": 81,
      "audit_score": 85
    }
  ],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No major risk signals from current metadata",
    "Audit risk risky exceeds max_risk=medium",
    "Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required",
    "This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
    "Quality score needs review",
    "Production credentials, payments, or irreversible account changes without explicit human review"
  ],
  "agent_contract": {
    "task_input": "Use make-vox in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 77/100 Strong shortlist",
      "Audit: 78/100 Risky",
      "Safety: 58/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "hassancs91-make-vox (make-vox)",
      "install_command": "npx skills add hassancs91/claude-faceless-shorts-creator --skill make-vox",
      "risk_summary": "Risky; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "hassancs91-make-vox",
      "task": "Use make-vox in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/hassancs91-make-vox",
    "api": "https://www.openagentskill.com/api/agent/skills/hassancs91-make-vox",
    "audit": "https://www.openagentskill.com/skills/hassancs91-make-vox/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=hassancs91-make-vox&task=Use%20make-vox%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20make-vox%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20make-vox%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/hassancs91-make-vox/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/hassancs91-make-vox"
  }
}

Für Ersteller

Quelle des Eintrags

Registry-indexiert

Beanspruchbar

Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller: hassancs91
Quelle: hassancs91/claude-faceless-shorts-creator
Indexiert von: OpenAgentSkill Community-Index

Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.

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Dieser Registry-indexiert-Eintrag wird hassancs91 zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.

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