SuperAPI AI Directory

media-router

General & other

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Updated 10-14 19:29

About this skill

Media Router

Use When

  • The user has audio, video, transcript, subtitle, A-roll, or B-roll material.
  • The first decision is whether to transcribe, package subtitles, add semantic understanding, or build an edit-ready plan.
  • The output quality target is rough, subtitle-ready, or edit-ready.

Do Not Use When

  • Do not treat every media request as plain transcription.
  • Do not execute downstream collection or editing work in this router.
  • Do not choose a costly model chain when rough output is enough.
  • Do not route image, video, audio, or workflow generation here; use generation-router.

Core Rule

Route by job intent, not by input file type alone.

Choose from five dimensions:

  • inputType: audio, video, transcript, or transcript+assets
  • goal: transcript, subtitles, semantic-analysis, beats, broll-map, or edit-plan
  • quality: rough, subtitle-ready, or edit-ready
  • scale: single or batch
  • costMode: cheap-first or quality-first

Default Routing Logic

  • Audio to transcript -> audio-transcription.
  • Video to transcript or subtitles -> video-transcription.
  • Existing transcript to subtitle files -> subtitle-packager.
  • Transcript plus assets to cut logic or B-roll plan -> editing-decision-engine.
  • Video to edit-ready plan -> transcription first, optional subtitle packaging, optional semantic video analysis, then editing-decision-engine.
  • Analyze first, then generate -> this router handles the understanding step, then hands back to generation-router.

Quality Thresholds

  • rough: quick review, search, logging, or candidate beat spotting. Prefer cheaper transcription and fewer enrichments.
  • subtitle-ready: captions, SRT/VTT, and reliable sentence or word timing. Timestamps are mandatory.
  • edit-ready: A-roll/B-roll decisions, cutaway placement, and beat-level planning. Use timestamped transcript plus semantic understanding when visual proof matters.

Output Shape

The artifact contains:

  • route and why
  • primarySkill
  • supportingSkills
  • modelPlan
  • outputArtifacts
  • needsTimestamps
  • executionMode

Stop Conditions

  • Stop when required user intent, source evidence, or owned input artifacts are missing and guessing would change the result.
  • If an owned CLI or script command still fails after any bounded recovery allowed by the executing PostPlus skill, report the exact error and stop. Do not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, fallback providers, or unpublished tools.

Handoff

  • Hand the route JSON to the named primarySkill.
  • Preserve expected artifacts so downstream skills know whether to produce transcript.json, timed-transcript.json, subtitles, beat maps, or edit plans.

Public Command Boundary

  • Choose the smallest matching command or workflow from the user input and run it directly.
  • If an owned CLI or script command still fails after any bounded recovery allowed by the executing PostPlus skill, report the exact error and stop. Do not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, fallback providers, or unpublished tools.
  • This public skill is instruction-driven. Produce the artifact described by the workflow directly from the available evidence.
  • Do not call private provider/runtime paths or unpublished local tools.
  • If the CLI returns a quote-confirmation challenge, run postplus quote confirm --json --challenge-file <challenge.json> and retry with the returned token.