dircreative-longform-reference-planner

name	dircreative-longform-reference-planner
description	Build global and per-sequence reference pack contracts for longform AI video workflows.

Longform Reference Planner

Required Knowledge

• docs/film-preproduction/longform-decomposition-policy.md
• docs/film-preproduction/capability-aware-generation-policy.md
• docs/film-preproduction/reference-locking-policy.md
• docs/film-preproduction/schemas/longform-reference-pack.yaml
• docs/film-preproduction/schemas/reference-pack-manifest.yaml
• docs/film-preproduction/research/model-reference-behavior.md

Inputs

• sequence plan
• visual bible
• reference pack manifest
• image prompt manifest
• target model list

Outputs

• longform reference pack
• global reference pack
• per-sequence reference pack plan
• clean start/end frame requirements
• external generation instructions

Rules

• Separate global identity/style assets from sequence assets.
• Use sequence packs as the normal unit for 180s work.
• Do not make one clean image per shot unless QA or model constraints require it.
• Every asset must have one primary job and one asset_output.status.
• prompt_only must remain fully useful without generated files.
• assisted_generation requires recorded user authorization.
• external_generation must include upload/import instructions.
• Resolve every target through capability_card_id + version + provider_surface; never emit family aliases or family-keyed policy maps.
• Copy no numeric reference limit into the pack; validate limits from the exact current card at audit time.
• Keep dense boards out of direct frame slots whenever the exact card requires a clean image input.
• Use clean first/end frames only for exact cards whose reference modes authorize those inputs.
• Do not generate images or videos.

skill_run_receipt

Record global packs, sequence packs, output statuses, user gates, exact-card direct input policy, QA status, and next_recommended_skill: image-prompt-compiler.