Use when building, configuring, running, debugging, or extending a Discord voice agent integrated with OpenClaw, including first-time setup, voice capture, t...
--- name: discord-voice-agent description: Use when building, configuring, running, debugging, or extending a Discord voice agent integrated with OpenClaw, including first-time setup, voice capture, transcription, TTS, slash commands, reply routing, health/status, and release work. --- # Discord Voice Agent A practical OpenClaw skill for building and operating a Discord voice bot that listens, reasons, and speaks back like a normal chat agent, with short, reliable replies. ## Start here Use this skill when the user wants a Discord voice agent that feels easy to install and easy to operate. ### Ask for only what is missing - **If Discord is already installed:** ask only for the voice channel id. - **If Discord is not installed:** require the Discord plugin/integration first, then ask for: - Discord token - voice channel id - optional guild id - Detect OpenClaw settings from the environment when possible. - Prefer sane defaults over extra setup. - Default to OpenClaw’s normal chat-model settings unless the user changes them later. ## First-run wizard Follow the wizard flow in `references/wizard.md`: 1. Detect whether Discord is already installed. 2. Ask only for missing setup. 3. Confirm the model default or custom model choice. 4. Verify voice join, `/status`, and one short test reply. 5. Ask for the next missing piece only if the first test fails. ## Beginner-friendly goal Make the first working turn obvious: 1. bot joins the voice channel 2. bot hears a short test phrase 3. bot replies briefly 4. status clearly shows what happened If anything fails, explain the missing piece in plain language. ## What this skill should help with - new install and first-run setup - Discord voice join and leave - slash commands and voice playback - STT/TTS troubleshooting - OpenClaw reply routing - latency reduction and fallback tuning - release planning and upgrade work ## Core behavior - join voice reliably - capture speech per turn - transcribe with the configured STT path - route replies through OpenClaw - speak back with short responses - fall back cleanly when STT, TTS, Discord, or OpenClaw fails ## How the AI model is used The skill itself does **not** choose a standalone model. It sends transcript context to OpenClaw, and OpenClaw picks the reply path/model from config. Use these rules: - prefer session-backed replies when healthy - fall back to HTTP or local replies when configured - use the project’s OpenClaw model/agent settings, not hard-coded model names - keep spoken output short, even if the text reply is longer internally - enable fast-answer-first behavior for short questions when available - treat the model like a normal chat-agent default first; let users change it later if they want See `references/model-routing.md` and `references/model-settings.md` for the routing picture. ## Working rules 1. Start by checking the current project state and config. 2. Keep commands and setup copy-paste friendly. 3. Keep spoken replies brief. 4. Surface failures clearly. 5. Validate with tests or smoke checks before claiming success. 6. Use the one-command smoke path before asking users to do a live voice trial. ## Reference files - `references/quickstart.md` — install and first-run flow - `references/wizard.md` — guided onboarding flow - `references/model-routing.md` — how the AI model is used - `references/model-settings.md` — default vs custom model setup - `references/test-mode.md` — one-command smoke path - `references/troubleshooting.md` — common failures and fixes - `references/upgrades.md` — best next upgrades - `references/release-checklist.md` — release polish before publish - `references/github-release-draft.md` — public release post draft - `references/demo-video-script.md` — short demo video script ## What a great version looks like - a new user can install and speak to it fast - existing Discord installs only need the voice channel id - missing Discord setup is detected cleanly - the AI routing is understandable and configurable - voice replies feel fast, short, and natural - failures are recoverable instead of silent
don't have the plugin yet? install it then click "run inline in claude" again.