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Maintain a local JSON index of reusable source media, transcripts, tags, and probe metadata.
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Plan, build, and fix short-form videos like an editor, using hook-first structure, caption-aware visual design, Remotion/FFmpeg assembly, and reject-regenerate review loops instead of one-shot automation.
Build a full short from brief to reviewed MP4 while keeping script, audio, visuals, captions, and validation aligned as one edit.
Generate and evaluate multiple short-form hook, title, cover, opening-frame, and platform-packaging variants before scripting or rendering, then choose a default and preserve the rationale.
Turn publish receipts and performance metrics into reusable style-profile or niche-profile updates that say what to repeat, kill, or test next.
Generate platform-specific publish metadata, fit checks, and upload checklists for short-form and social video without auto-uploading.
Review scripts, timelines, scene plans, or rendered shorts for retention and mobile pacing before final render approval or publish readiness.
Basado en la clasificación ocupacional SOC
| name | media-index |
| description | Maintain a local JSON index of reusable source media, transcripts, tags, and probe metadata. |
| allowedTools | ["shell","read","write"] |
| model | inherit |
| argumentHint | {"indexPath":"output/content-machine/library/media-index.v1.json","items":[{"path":"input/source.mp4","analysisPath":"output/content-machine/highlights/source-media-analysis.v1.json","tags":["podcast"]}]} |
| entrypoint | node --import tsx scripts/harness/media-index.ts |
| inputs | [{"name":"indexPath","description":"Path that will receive media-index.v1.json.","required":false},{"name":"items","description":"Media items to add or replace by path.","required":true}] |
| outputs | [{"name":"media-index.v1.json","description":"Local reusable media index."}] |
Use this after source media analysis when local assets should be reused or searched later. The index is JSON, local-only, and keyed by resolved file path.
Index evidence after scout/review; do not use media-index to decide
rights. The strict harness schema stores provenance under each item's
metadata, not as arbitrary top-level fields.
When indexing external or generated media, store enough evidence for reuse and publish review:
sourceUrl, provider, author, titlelicenseName, licenseUrl, attributionTextretrievedAt, fileHash, localPathusageMode: inspiration-only, code-native-rebuild,
downloaded-asset, generated-asset, or reference-providerrightsFlags: watermark, editorial-only, model-release risk,
trademark risk, Content ID risk, attribution requiredevidenceFiles: license screenshot, API response, source metadata, or
downloaded license fileplatformSource,
originalVideoUrl, extractRange, licenseCertificatePath,
permissionEvidencePath, contentIdRisk, attributionPlacement, and
mixRolereviewStatus: approved, needs-review, reference-only, or
rejectedpublish-prep can review a media index directly through
mediaIndexPath. generate-short also writes
provenance/asset-ledger.json; use media-index provenance for reusable
library assets and the asset ledger for the specific render run.
For AI-generated media, also store provider, model, prompt, negative prompt, reference assets, job id, status URL, settings, seed if available, cost, and output hash.
cat skills/media-index/examples/request.json | \
node --import tsx scripts/harness/media-index.ts