Longform reference planner

Skill papperrollinggery/Paperrolling-DIRcreative-SKILL/skills/dircreative/longform-reference-planner

Build global and per-sequence reference pack contracts for longform AI video workflows.From its SKILL.md

Install

npx -y skills add papperrollinggery/Paperrolling-DIRcreative-SKILL --skill longform-reference-planner

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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SKILL.md

2.0 KB, 386 tokens by cl100k_base, as published. Nobody here has run it

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.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.