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/runway-dev-characters

@e3dffc1 official
by Runwayrunwayml/skills70 stars
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Build, modify, debug, or verify Runway Characters integrations: inspect preset or custom avatars with MCP, manage live Sessions via SDK, and connect the application UI. Use with +runway-dev. UI says Characters; MCP/API use avatars. Not for avatar video generation endpoints.

Use this Skill: https://skilld.dev/gh/runwayml/skills/runway-dev-characters

This session only. Nothing lands on disk.

SKILL.md

≈74 tokens always: the name and description. ≈847 when used: this file.

Runway Dev — Characters

Companion: Use +runway-dev for shared guidance when available. If it is not installed, inspect the workspace, probe RUNWAYML_API_SECRET without printing it, and read the Characters docs linked by llms.txt. Encourage connecting Dev MCP to inspect or manage characters and knowledge documents. If the user declines or cannot connect, continue integration from current docs and an existing character ID.

Goal

Keep a Characters integration and its live Session lifecycle correct across the application's backend and UI. Verify changes end-to-end when safe.

Terminology

  • Dev Portal Characters = API avatars (list_avatars, get_avatar).
  • Character ID = avatar UUID.
  • live Session = realtime conversation via POST /v1/realtime_sessions.
  • Fallback preset when the user wants a default: influencer ({ type: 'runway-preset', presetId: 'influencer' }).

No character specified

  1. Ask whether the user wants an existing character, a preset, or a custom character from an image. Do not branch into avatar-video generation unless requested.
  2. For a custom character, ask the user to supply the image and use create_avatar according to its live MCP tool schema. If the user wants a default instead, use preset influencer.
  3. Implement the Session lifecycle behind the server boundary: create once, poll NOT_READY until READY, consume connection credentials once, and return only the connection fields the client needs.
  4. Connect the application's call UI with the current Avatar SDK, then end or cancel the Session during teardown so it does not keep running.
  5. For end-to-end verification, connect one Session successfully and cleanly end it.

Character specified

  1. get_avatar for status and attached knowledge document ids.
  2. Use that character id; do not substitute another avatar.
  3. If status is PROCESSING, poll until READY or stop on FAILED.

MCP tools

  • list_avatars / get_avatar — inspect custom avatars in project.
  • create_avatar / update_avatar / delete_avatar — manage custom characters; confirm destructive changes before applying them.
  • list_avatar_knowledge_documents / get_avatar_knowledge_document — inspect attached knowledge.
  • create_avatar_knowledge_document / update_avatar_knowledge_document / delete_avatar_knowledge_document — manage domain knowledge when requested; confirm deletion first.

Application UI

  • Follow the current Avatar SDK README rather than copying component APIs from memory.
  • In React, use @runwayml/avatars-react with its stylesheet. Keep session creation and credential consumption on the server; browser code receives only one-time connection fields.
  • Use the packaged call component for standard UI or the SDK hooks for a custom experience. Handle microphone permission, connecting, active, error, and ended states.
  • A failed connection needs a new Session because consumed credentials cannot be reused.

Knowledge

Use the MCP knowledge-document tools above for live state and CRUD. Inspect attached documents before updating them, keep content focused and structured, and do not delete knowledge without confirmation.

Docs

Source: SKILL.md on GitHub

No alerts1mo3 checks · Risk SAFE
  • Gen Agent Trust Hub1mo

    The skill facilitates the development and management of Runway Characters integrations, including avatar lifecycle and knowledge document management. It references official vendor documentation and uses vendor-specific SDKs. While the skill interacts with a sensitive environment variable and processes external data, it includes safety instructions to prevent secret exposure and its activities are scoped to the vendor's own infrastructure.

  • Socket1mo

    No alerts

  • Snyk1mo

    Risk: LOW · No issues

Signed by skilld at e3dffc1. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub last month.

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