Resolve registered vertical composition inputs from source-grounded framing evidence, source A/V identity, layout anchors, and safe degradation. Use when a blueprint contains framing candidates or visual intents for a vertical delivery.
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Inspect and resolve the existing framing policy, reframe candidate, and registered visual intent before any visual treatment is considered. Keep source asset, segment, range, source hash, A/V geometry, and first/representative/last evidence attached to the result.
04_plan/edit_blueprint.yaml, 04_plan/selects_candidates.yaml, and the referenced framing policy. Confirm that policy_refs.composition_policy_ref resolves inside the project and that any source hash is current.source_evidence. Verify the existing RFA-008 to RFA-010 candidate when a candidate reference is present. Treat unavailable optional vision adapters as a source-grounded degrade, not as permission to invent a crop.vertical_composition_policy_ref through schemas/vertical-composition-policy.schema.json and runtime/visual/vertical-composition.ts. Supply policy-owned person occupancy, headroom, look-room, hands, microphone, evidence, layout-anchor, and zoom-intent inputs.05_timeline/timeline.json provenance. A vertical-composition-resolution/v1 result is an input receipt; it is not a graphical compositor or Studio edit.When subject-caption collision QA is requested, use a source-grounded
subject-occupancy-track/v1 whose track labels are explicitly not person
identity. Resolve thresholds and lower/upper proposal anchors from the same
project-contained vertical composition policy, then bind the track, renderer
layout snapshot, policy hash, renderer capability, verdict, and review item to
one immutable social-review generation. Missing or mixed-generation evidence
is an incomplete/human hold. Candidate anchors never authorize caption text,
timing, approval, or canonical timeline mutation, and auto-move remains off.
Speech caption text, timing, and approval remain owned by the existing caption runtime and FFmpeg/libass route. Registered graphical content elements remain eligible for the existing Remotion or HyperFrames route in the later visual-treatment milestone; visual treatment patches, platform profiles, and Studio controls remain separate. This skill only resolves their inputs and does not rewrite the canonical timeline by hand.
Run npm run validate:all-local, npm run typecheck, and npm run verify after changing a policy or consuming an artifact. Inspect 05_timeline/timeline.json and its provenance; keep 04_plan/edit_blueprint.yaml as the authoring source.
Record the resolved policy reference, policy hash, candidate evidence, receipt status, and any human hold in the canonical timeline provenance or an existing review/route receipt. Do not invent a standalone composition artifact. Keep renderer application and Studio graphical controls for the later milestone.
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MUST USE when source footage or a material folder is provided and material understanding or 03_analysis generation is needed. Trigger not only on explicit analysis requests ('分析して', '素材を見て') but also when the user points at footage and says things like 'この動画で', 'この素材で', or any request that requires understanding the provided media before planning or editing.
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Use when selects_candidates.yaml exists and the user asks to design structure, build an edit blueprint, or create 04_plan/edit_blueprint.yaml.
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Use when edit_blueprint.yaml and selects_candidates.yaml are ready and the user asks to compile the rough cut, generate timeline.json, or apply a review patch.
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MUST USE when the user asks to crop, reframe, trim, or improve composition of still photos, especially selected event photos, album photos, portraits, speakers, panels, workshops, or group photos. Use after photo selection or correction when the task is composition improvement rather than selecting images.
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MUST USE when starting a new video project, when the user provides footage and asks to edit/create a video, or when 01_intent/creative_brief.yaml does not yet exist. This skill interviews the user to understand their intent before any editing begins. Never skip this step.
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Use after changing prompts, skills, the compiler, or editorial policies — or when the user asks to measure edit quality, run regression evals, check agreement with approved edits, or says '評価して', '一致率を測って', 'eval を回して'. Compares agent output against human-approved golden projects.
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