dircreative-sequence-planner

Split the requested film into performance-sized model units with continuity and edit handoffs.

SKILL.md

GitHub

Sequence Planner

Required Knowledge

Read only the reference needed for the active task, not this entire list. The root v2 route owns scope and authorization; legacy records do not add gates.

  • docs/film-preproduction/longform-decomposition-policy.md
  • docs/film-preproduction/capability-aware-generation-policy.md
  • docs/film-preproduction/schemas/sequence-plan.yaml
  • docs/film-preproduction/schemas/shot-list.yaml
  • docs/film-preproduction/research/channel-playbooks.md

Inputs

  • selected concept
  • treatment or script
  • shot list
  • target duration
  • channel and model targets

Outputs

  • sequence plan
  • generation unit policy
  • user gate map
  • edit handoff skeleton

Rules

  • Default 180s work to longform_generation_mode: hybrid.
  • Default visual_output_mode to prompt_only unless the user authorizes generation.
  • Plan the whole film before any per-sequence reference prompts.
  • Resolve the actual selected capability card before setting a generation-unit ceiling; it is separate from story duration.
  • If the user names a model limit, preserve that value as a production constraint without inventing the story duration.
  • Size units from performance capacity and the exact supported range. Avoid arbitrary durations and preserve adjacent visual/audio states.
  • Keep each sequence's dramatic function distinct.
  • Do not create images or videos.
  • Mark batch mode with accepted continuity and rework risks.
  • Preserve global continuity anchors for identity, product, wardrobe, location, lens, light, and audio.

skill_run_receipt

Persist the following only for a requested formal handoff, pause/resume or actual execution record. Ordinary work returns its result without a separate receipt. The next skill is advisory; the controller continues only the requested scope.

Record duration split, mode choice, user gates, unresolved continuity questions, QA status, and next_recommended_skill: longform-reference-planner.