Make synthetic screen recording a first-class, discoverable capability
alongside real OS capture. For CLI / terminal / install-flow demos where
commands and output are predictable, author a `terminal_scene` cut instead
of driving a real screen recorder — deterministic, privacy-safe, pixel-
perfect, and frame-accurate to narration cues.
Components:
- TerminalScene.tsx: window chrome, char-by-char typing, blinking cursor,
scrolling output, non-blocking floating pills, spring-based reveals
- ProviderChip.tsx: rotating badge overlay that cycles through provider
names (used in AI-generated-motion scenes)
- BackgroundVideoLayer + source_in_seconds + backgroundVideo props on
every scene type — supports video-behind-component composition
Discovery chain (six layers, so the next agent finds this without reading
source code):
1. pipeline_defs/screen-demo.yaml — bump to 2.1, declare production_modes
(real_capture, synthetic_terminal) with required_tools, scene_type, and
agent_skills pointers
2. skills/pipelines/screen-demo/idea-director.md — mode-selection table
at brief time; brief.metadata.production_mode contract
3. skills/pipelines/screen-demo/asset-director.md — reads production_mode
and branches asset production (capture+overlays vs steps+narration+
pacing check)
4. .agents/skills/synthetic-screen-recording/SKILL.md — Layer 3 skill with
step kinds (cmd/out/pause/pill), pacing rule, and the frozen-terminal
failure mode captured from the showcase v3 retune
5. AGENT_GUIDE.md — TerminalScene added to Remotion routing; links
SCENE_TYPES.md as the authoritative cut-type registry
6. remotion-composer/SCENE_TYPES.md — new cheat sheet of every cut.type
and overlay.type with required fields, plus a "how to add a new scene
type" section (candidates: ChatTranscript, EditorScene, PrReview,
SlackThread, TicketBoard)
Guardrail:
- lib/verify_scene_pacing.py — reusable trace() and assert_alignment()
helpers that mimic the TerminalScene frame math exactly. Fail loudly
before render if steps burn through too fast or leave the scene frozen.
- New: Higgsfield video provider with multi-model routing (Kling 3.0, Veo 3.1, Sora 2, WAN 2.5, Soul Cinema) and Soul ID character consistency
- Updated: Runway provider with gen4_aleph and gen3a_turbo models, proper pixel-ratio mapping, probe_output, watermark param, RUNWAYML_API_SECRET env var support
- Docs: Updated provider counts (12→13), tool counts (51→52), added Higgsfield setup/pricing sections across README, AGENT_GUIDE, ARCHITECTURE, and PROVIDERS
- AGENT_GUIDE.md: add "never read source code" rule — skills are the
interface, not .py files
- animation.yaml: add Layer 2 skill-first guardrail in assets stage
- video-reference-analyst.md: Step 4b now mandates Layer 2 before Layer 3,
explicitly forbids reading implementation code
- CinematicRenderer: add TikTok-style CaptionOverlay and separate music
track support (narration + music as independent audio layers)
- cinematic/types.ts: add CinematicCaptionConfig and music prop types
Fix ComparisonCard and CalloutBox dark-theme passthrough in SceneRenderer.
Add 8 demo-props JSON files (3 fixed originals + 5 new compositions).
Update scene-director and compose-director skills with all 10 Remotion
scene types and zero-key rendering guidance. Document the proven
all-dark-background formula in remotion.md. Add cinematic renderer,
onboarding skill, prompt gallery, and demo render script.
- Add cross-pipeline Music Plan requirement to AGENT_GUIDE User-Facing Planning Protocol
- Add Step 5: Music Plan to cinematic idea-director with library/API/BYO options
- Add music plan resolution to cinematic quality gate
- Ensures agent surfaces music situation before production starts, not at asset stage
- Fix Kling URL format: text_to_video → text-to-video (hyphens)
- Fix Kling, MiniMax, Veo: switch from sync fal.run to queue API with polling
- Add Rule Zero to AGENT_GUIDE: all production must go through pipelines
- Make Layer 3 skill reading mandatory before calling generation tools
- Add explicit do-nots: no ad-hoc scripts, no skipping director skills
Two new provider tools following the BaseTool pattern with auto-discovery:
- google_imagen: Imagen 4 image generation via Generative Language REST API
- google_tts: Google Cloud TTS with 700+ voices across 50+ languages
Both share GOOGLE_API_KEY env var. Selectors auto-discover them — no
selector code changes needed. Docs and contract tests updated.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
calesthio