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Parallels Discord Roundtrip

OrganizationPopular
openclaw
parallels-discord-roundtrip

Run macOS Parallels smoke with Discord send, host verification, host reply, and guest readback proof.

Overview

Publisheropenclaw
Repositoryopenclaw
Skill nameparallels-discord-roundtrip
Stars
391K
Forks
82.2K
Bundled files
Instructions only
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by openclaw on GitHub. Read the source before you install it.

Installation

Install the Parallels Discord Roundtrip AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/openclaw/openclaw/tree/main/.agents/skills/parallels-discord-roundtrip
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/openclaw/openclaw.git /tmp/openclaw
mkdir -p .claude/skills
cp -r /tmp/openclaw/.agents/skills/parallels-discord-roundtrip .claude/skills/parallels-discord-roundtrip
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Parallels Discord Roundtrip in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Parallels Discord Roundtrip on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Parallels Discord Roundtrip is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Parallels Discord Roundtrip

Use when macOS Parallels smoke must prove Discord two-way delivery end to end.

Goal

Cover:

  • install on fresh macOS snapshot
  • onboard + gateway health
  • guest message send to Discord
  • host sees that message on Discord
  • host posts a new Discord message
  • guest message read sees that new message

Inputs

  • host env var with Discord bot token
  • Discord guild ID
  • Discord channel ID
  • OPENAI_API_KEY

Preferred run

bash
export OPENCLAW_PARALLELS_DISCORD_TOKEN="$(
  ssh peters-mac-studio-1 'jq -r ".channels.discord.token" ~/.openclaw/openclaw.json' | tr -d '\n'
)"

pnpm test:parallels:macos \
  --discord-token-env OPENCLAW_PARALLELS_DISCORD_TOKEN \
  --discord-guild-id 1456350064065904867 \
  --discord-channel-id 1456744319972282449 \
  --json

Notes

  • Snapshot target: closest to macOS 26.3.1 fresh.
  • Snapshot resolver now prefers matching *-poweroff* clones when the base hint also matches. That lets the harness reuse disk-only recovery snapshots without passing a longer hint.
  • If Windows/Linux snapshot restore logs show PET_QUESTION_SNAPSHOT_STATE_INCOMPATIBLE_CPU, drop the suspended state once, create a *-poweroff* replacement snapshot, and rerun. The smoke scripts now auto-start restored power-off snapshots.
  • Harness configures Discord inside the guest; no checked-in token/config.
  • Use the openclaw wrapper for guest message send/read; node openclaw.mjs message ... does not expose the lazy message subcommands the same way.
  • Write channels.discord.guilds in one JSON object (--strict-json), not dotted config set channels.discord.guilds.<snowflake>... paths; numeric snowflakes get treated like array indexes.
  • Avoid prlctl enter / expect for long Discord setup scripts; it line-wraps/corrupts long commands. Use prlctl exec --current-user /bin/sh -lc ... for the Discord config phase.
  • Full 3-OS sweeps: the shared build lock is safe in parallel, but snapshot restore is still a Parallels bottleneck. Prefer serialized Windows/Linux restore-heavy reruns if the host is already under load.
  • Harness cleanup deletes the temporary Discord smoke messages at exit.
  • After a successful Discord roundtrip, shut down the macOS guest before handoff (prlctl stop "macOS Tahoe"). The macOS smoke harness should do this automatically after successful Discord proof; still stop the VM manually after ad-hoc Discord checks. Do not leave the Discord-configured VM running; it can keep reading/posting in #maintainer and spam Discord after the proof is complete.
  • Per-phase logs: /tmp/openclaw-parallels-smoke.*
  • Machine summary: pass --json
  • If roundtrip flakes, inspect fresh.discord-roundtrip.log and discord-last-readback.json in the run dir first.

Pass criteria

  • fresh lane or upgrade lane requested passes
  • summary reports discord=pass for that lane
  • guest outbound nonce appears in channel history
  • host inbound nonce appears in openclaw message read output

Frequently asked questions

What does the Parallels Discord Roundtrip AI skill do?

Run macOS Parallels smoke with Discord send, host verification, host reply, and guest readback proof.

Why use Parallels Discord Roundtrip on TypingMind?

Because you install it once and use it with any model. Parallels Discord Roundtrip is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Parallels Discord Roundtrip in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openclaw/openclaw/tree/main/.agents/skills/parallels-discord-roundtrip. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Parallels Discord Roundtrip?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Parallels Discord Roundtrip?

As many as you like. As long as a model supports skills, you can use Parallels Discord Roundtrip with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Parallels Discord Roundtrip AI skill free?

It is published on GitHub by openclaw. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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