Agent Native

runway-dev-characters

This skill helps build and debug Runway Characters integrations by managing avatar creation, live sessions, and SDK implementation.

by RunwayOfficial publisherNot reviewed

Identity proven by GitHub's verified organisation badge (runwayml)

Agents
Claude Code
License
MIT (permissive)
Pin
e3dffc1pinned Oct 9, 2026
Context cost
about 850 tokenswhen the skill loads
GitHub stars
72on runwayml/skills
Scripts
None found

What it does

“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.”
The author's description, from SKILL.md

Generated summary from the skill's own text

This skill helps build and debug Runway Characters integrations by managing avatar creation, live sessions, and SDK implementation. It provides access to inspect custom avatars via MCP tools, handle realtime conversation sessions, and connect application UI components with proper session lifecycle management.

When to use it

  • Integrating Runway Characters avatars into your application backend
  • Managing custom character creation, updates, or deletion via API
  • Implementing live realtime sessions with proper credential handling
  • Debugging character status, knowledge documents, or session lifecycle issues

When not to

  • Generating avatar videos using video generation endpoints
  • Building applications without a Runway account or API credentials
  • Creating UI components without consulting the Avatar SDK README documentation

Install

These commands install from the publisher's repository and need no account.

skills CLI

npx skills add runwayml/skills --skill runway-dev-characters

Installs from the repository's default branch, which may have changed since the commit we checked.

GitHub CLI 2.90 or later

gh skill install runwayml/skills runway-dev-characters@e3dffc15498e9588e7815f37b9ecf10e8bc2c902

Installs the commit we checked (e3dffc1).

Copy by hand

Download the folder at e3dffc1 and put it in .claude/skills/runway-dev-characters for Claude Code and in .agents/skills/runway-dev-characters for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.

Skill folder on GitHub at e3dffc1

Claude Code plugin

/plugin install runway-api@claude-plugins-official

The publisher's plugin in Claude's official marketplace. It may hold more than this skill, and we have not pinned it.

Copy for your agent

A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.

Prompt

Install the agent skill "runway-dev-characters" by Runway.

Source, pinned to commit e3dffc15498e9588e7815f37b9ecf10e8bc2c902:
https://github.com/runwayml/skills/tree/e3dffc15498e9588e7815f37b9ecf10e8bc2c902/skills/runway-dev-characters

1. Download that folder at exactly this commit. Do not use the default branch.
2. Copy every file unchanged, keeping the folder structure, into .claude/skills/runway-dev-characters/ for Claude Code and .agents/skills/runway-dev-characters/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist.
3. Do not edit the files, and do not run any script in the folder unless I ask you to.
4. When you are done, list the files you copied and where you put them.

Listing and checks: https://www.agentnative.dev/skills/runway/runway-dev-characters

SKILL.md at the pin

---
name: runway-dev-characters
description: "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."
user-invocable: true
---

# 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

- https://docs.dev.runwayml.com/llms.txt
- Characters: https://docs.dev.runwayml.com/_llms-txt/characters.txt
- Avatar SDK: https://github.com/runwayml/avatar-sdk-react

From runwayml/skills at e3dffc1, shown as plain text under its license: MIT (permissive). The license text is in LICENSE.

View SKILL.md on GitHub at e3dffc1

Files

1 file, 3.7 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.

Skill folder on GitHub at e3dffc1
All 17 skills from Runway

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