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New end-to-end pipeline for building thematic documentary montages from a locally-indexed corpus of free stock footage (Pexels, Archive.org, NASA). The agent builds a project-local corpus, CLIP-ranks candidates per scene slot, edits with motion-aware arc logic, and composes via ffmpeg. No paid APIs required for the full path. Pipeline definition and director skills: - pipeline_defs/documentary-montage.yaml: 5-stage manifest (idea -> scene_plan -> assets -> edit -> compose) - skills/pipelines/documentary-montage/: 6 director skills (executive-producer + idea/scene/asset/edit/compose directors) Corpus and retrieval infrastructure: - tools/video/corpus_builder.py: multi-source stock fan-out with resumable append-only corpus index - tools/video/clip_search.py: CLIP ViT-B/32 retrieval — rank_for_slot, find_similar_set, diversify, stats - tools/video/stock_sources/: base + pexels + archive_org + nasa adapters with a pluggable BaseStockSource contract - lib/clip_embedder.py: CLIP wrapper - lib/corpus.py: corpus schema, jsonl append/read, motion-score caching video_compose fix rolled in because any concat-based pipeline depends on it: - Replace ambiguous -to with -t duration (was double-trimming cuts) - Force re-encode + normalize to 1920x1080 @ 30fps (was keyframe- snapping with -c copy and breaking concat on mixed-source corpora) - Add silent-audio anullsrc fallback for clips without an audio stream README: add Documentary Montage row to the pipeline table and bump the pipeline count from 11 to 12.