
media-router
Route audio, video, transcript, subtitle, and edit-prep requests into the right media-understanding workflow before execution. Use this when the user wants transcription, subtitle generation, beat mapping, B-roll planning, or edit-ready outputs and the first question is which skill and model chain should run.
- Installs
- 992
- Last 24h
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- Trending rank
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- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/postplusai/postplus-skills --skill media-router- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads media-router automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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+assetsgoal: transcript, subtitles, semantic-analysis, beats, broll-map, or edit-planquality: rough, subtitle-ready, or edit-readyscale: single or batchcostMode: 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:
routeandwhyprimarySkillsupportingSkillsmodelPlanoutputArtifactsneedsTimestampsexecutionMode
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.
FAQ
What does the media-router skill do?
Route audio, video, transcript, subtitle, and edit-prep requests into the right media-understanding workflow before execution. Use this when the user wants transcription, subtitle generation, beat mapping, B-roll planning, or edit-ready outputs and the first question is which skill and model chain should run.
How do I install media-router?
Run npx skills add https://github.com/postplusai/postplus-skills --skill media-router in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/media-router/ (personal) or .claude/skills/media-router/ (project).
Which AI agents can use media-router?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is media-router safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains media-router?
It is published by postplusai in postplusai/postplus-skills. It has 992 recorded installs.
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