跳到正文
cccskills
免费在 GitHub 公开

scene-expander

When expanding a one-line idea into the 12-block Cinematic Scene Blueprint — optional dialogue + ambient. Triggers 'expand this scene', 'blueprint for X'. 11-block refine → video-director.

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(2)

  • SKILL.md6.4 KB
  • scene-blueprint.schema.yaml4.6 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

scene-expander

Expand a one-line idea or script line into the Cinematic Scene Blueprint — 12 labeled blocks consumed by parse-blueprint.sh. Picks hollywood-director for live-action; hands off animated beats to pixar-storyteller. Output is provider-agnostic — provider tuning is motion-choreographer.

When to use

  • A script line, idea, or beat needs a full blueprint before any adapter runs.
  • A /video:from-script run is parsing ## Scene N headings and needs each scene expanded.

Do NOT use when:

  • The brief is already an 11-block cinematic prompt → call video-director directly to refine it.
  • The brief is a static graphic → canvas-design.
  • Provider-specific token tuning is the next step → motion-choreographer.

Procedure

Step 0: Inspect

  1. Read the input line. Classify as live-action / photoreal or animated / stylized.
  2. Live-action → load hollywood-director voice. Animated → hand off to pixar-storyteller (its procedure carries the acting / beat-decomposition lens). Hybrid (live-action with VFX) → hollywood-director; record VFX intent in ENVIRONMENT.
  3. Check for an existing character.json lock under agents/reference/ai-video/<project>/characters/.

Step 1: Emit the 12 blocks

One label per line. Order is mandatory.

  1. STYLE — stylistic anchor (live-action: film stock + decade, e.g. "Kodak 5219, 2015"; animated: specific film + year).
  2. SUBJECT — character read; verbatim identity tokens when a lock exists.
  3. ENVIRONMENT — location, time-of-day, weather, era; what the world does in response to the subject.
  4. ACTION — anticipation / action / reaction with beat counts (0.5s / 1.2s / 0.8s). No adjective paragraphs.
  5. CAMERA — position, height, distance, move as an INTENT class (static hold, push-in, pull-back, lateral track, handheld drift, orbit). Intent vocabulary, never one provider's move grammar — the per-provider encoding happens in motion-choreographer. Off-axis when on-axis is default.
  6. LENS — focal length in mm and aperture intent. "Cinematic" alone fails. mm + aperture are cinematography units, not provider tokens — they stay.
  7. LIGHTING — key / fill / back / practical named; "golden hour" requires a sun angle.
  8. MOOD — one emotional read.
  9. DIALOGUE — optional. If present: speaker: "line", one per line. Marks audio: native capability requirement.
  10. AMBIENT SOUND — optional. Layer list (wind, traffic, crowd, ocean). Marks audio: native or routes to ffmpeg mux.
  11. DURATION — seconds (integer or one decimal). Free value; per-provider clip-length clamping is the encoder's concern, not the blueprint's.
  12. NEGATIVE — clichés to reject, load-bearing order top-first. Always names: centered framing, symmetric composition, generic "cinematic", soap-opera contrast.

Step 2: Self-review

  1. Live-action / animated classification consistent across blocks?
  2. LENS present with mm (live-action) OR stylistic anchor with film+year (animated)?
  3. LIGHTING with a direction?
  4. ACTION names beat counts, not adjectives?
  5. DIALOGUE / AMBIENT SOUND present → the run requires audio: native adapter OR ffmpeg-mux fallback declared.
  6. NEGATIVE ≥ 4 entries, load-bearing top?
  7. SUBJECT verbatim from character.json when a lock exists?

Any "no" → revise that block.

Step 3: Validate

  1. Pipe output through scripts/ai-video/lib/parse-blueprint.sh — exits 0 and emits valid adapter-contract JSON.
  2. No provider tokens (no aspect / model / duration flags).

Output format

  1. scenes/<id>/prompt.txt — 12 labeled blocks, ready for parse-blueprint.sh.
  2. scenes/<id>/blueprint.json — parser output, adapter-stdin ready.
  3. scenes/<id>/review.md — one-paragraph rationale per non-obvious choice.

Gotcha

  • The model wants to skip optional DIALOGUE / AMBIENT SOUND blocks silently — if they could plausibly belong, emit them; the parser treats missing blocks as null, not as an error.
  • Live-action without LENS mm fails the parser's strict mode.
  • Animated without a film+year anchor in STYLE drifts on every run.
  • ACTION written as "the character does X dramatically" fails — adapters need verbs with beat counts.
  • DIALOGUE forces audio: native requirement — flag this to the orchestrator so it picks an audio-native adapter (capability.audio = native).

Do NOT

  • Do NOT emit provider tokens — that is motion-choreographer.
  • Do NOT shape any block toward one provider's prompt grammar — the blueprint is the decoupling layer; the anti-leak schema test scans it for provider tokens.
  • Do NOT skip the blueprint parser validation step.
  • Do NOT paraphrase identity tokens when a lock exists.
  • Do NOT mix live-action LENS prescriptions with animated STYLE anchors in the same scene — pick one mode.

Policies

Paths, enforcement model, and the full set: the media policy preamble.

The 12-block Cinematic Scene Blueprint is the policy choke point — every downstream skill (motion-choreographer, video-director) inherits whatever the blueprint encodes. Before emitting:

  • likeness — when the SUBJECT block names or visually identifies a real person.
  • public-figures — when the SUBJECT block is a recognised public figure.
  • brand-impersonation — when STYLE / ENVIRONMENT references a recognised brand's visual identity.
  • style — when STYLE anchors to a named living artist or studio as the primary signature.
  • disclosure — every distributed blueprint output carries the AI-generation disclosure downstream.

Refuse-and-surface at the blueprint layer; do not push policy questions down to the adapter.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Use when reviewing UI for accessibility — WCAG 2.2 AA, keyboard nav, focus, ARIA, contrast, screen-reader semantics — even on 'is this a11y-OK?' or 'mach das barrierefrei'.

中文简介正在准备中。当前显示原文说明。

event4u-app/agent-config122026年10月21日 更新

Use when defining or auditing the activation event — aha-moment selection, retention correlation, falsifiable definition. Triggers on 'what is our aha moment', 'redefine activation'.

中文简介正在准备中。当前显示原文说明。

event4u-app/agent-config122026年10月21日 更新

Use when capturing an architectural decision — file naming, next ADR number, Status / Context / Decision / Consequences, index regen; fires even without saying 'ADR'.

中文简介正在准备中。当前显示原文说明。

event4u-app/agent-config122026年10月21日 更新

Adversarial critique — devil's advocate, stress-test, honest teardown ('poke holes', 'be brutal', 'was hältst du davon'); explicit request only. Routine code or design review → code-review.

中文简介正在准备中。当前显示原文说明。

event4u-app/agent-config122026年10月21日 更新

Use when reading, creating, or updating agent documentation, module docs, roadmaps, or AGENTS.md. Understands the full .augment/, agents/, and copilot-instructions structure.

中文简介正在准备中。当前显示原文说明。

event4u-app/agent-config122026年10月21日 更新

Use for an adversarial red-team / blue-team / auditor review of an AI agent's CONFIG + behaviour (rules, skills, MCP, hooks, permissions) — attack-chain → defensive-gap list, not a code audit.

中文简介正在准备中。当前显示原文说明。

event4u-app/agent-config122026年10月21日 更新

查看 event4u-app 的全部技能

报告此技能的问题