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Yao Daemon

OrganizationPopular
YaoApp
yao-daemon

Daemon process management — start, monitor, restart, stop long-running services. ALWAYS invoke this skill when the user asks to start, check, restart, or stop background services, dev servers, or daemon processes.

Overview

PublisherYaoApp
Repositoryyao
Skill nameyao-daemon
Stars
8.1K
Forks
722
Bundled files
Instructions only
Links
  • 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 YaoApp on GitHub. Read the source before you install it.

Installation

Install the Yao Daemon 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/YaoApp/yao/tree/main/tools/skills/yao-daemon
  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/YaoApp/yao.git /tmp/yao
mkdir -p .claude/skills
cp -r /tmp/yao/tools/skills/yao-daemon .claude/skills/yao-daemon
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Yao Daemon 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 Yao Daemon 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 Yao Daemon 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.

Daemon Management

Tools

  • yao_daemon_start — Start a long-running service. Always runs in background; returns daemon_id immediately.
  • yao_daemon_list — List daemons. Supports --status filter and --limit/--offset pagination.
  • yao_daemon_status — Get full details for a daemon (daemon_port, daemon_url, started_at, daemon_restarts).
  • yao_daemon_stop — Stop a running daemon.
  • yao_daemon_restart — Restart a daemon (preserves the same ID, increments daemon_restarts).
  • yao_job_output — Read daemon output (pass daemon_id as job_id).

Parameters

yao_daemon_start

ParamRequiredDefaultDescription
commandyes—Shell command to execute
descriptionyes—Concise 5–10 word summary
portnoauto-detectExpected listen port; the system verifies the port is ready before reporting it
argsno—Additional arguments
working_dirnoworkspaceWorking directory

yao_daemon_list

ParamDefaultDescription
statusallFilter: running, stopping, completed, failed, cancelled, port_detecting, all
limit20Max items per page
offset0Skip first N items

yao_daemon_restart / yao_daemon_status / yao_daemon_stop

ParamRequiredDescription
daemon_idyesThe daemon ID

Response Fields

All responses are JSON. Daemon objects contain:

id, kind, session_id, status, description,
command, command_argv, command_line, pid, pgid, user,
started_at, finished_at, duration_ms, exit_code, signal, detail,
daemon_port, daemon_url, daemon_restarts, seq
  • daemon_port — The verified listen port (0 if not yet detected or not specified).
  • daemon_url — http://localhost:<port> (empty until port is verified as listening by the daemon's own process tree).
  • daemon_restarts — Number of restarts via yao_daemon_restart.
  • started_at — Unix millisecond timestamp of the most recent start.

Port detection behavior:

Both modes start by returning port_detecting with daemon_port: 0 if the port is not confirmed within the initial ~2s settle window. If the port is confirmed within ~2s, start returns running with daemon_port/daemon_url directly.

  • --port N (explicit): Verifies port N is listening AND owned by this daemon's process tree. If not confirmed within ~2s, returns status: "port_detecting". Poll yao_daemon_status until status changes to running — either with daemon_port: N and daemon_url (port confirmed), or with daemon_port: 0 and detail: "specified port N not detected within timeout" (~60s).
  • No --port (auto-detect): Scans the daemon's process tree for any listening TCP port. If not found within ~2s, returns status: "port_detecting". The scan continues in background (~60s); if a port is found, status changes to running with daemon_port/daemon_url and a <BackgroundJobReceipt> is delivered. If no port is found after ~60s, status changes to running with daemon_port: 0.

List (paginated)

json
{ "daemons": [...], "total": 5, "offset": 0, "limit": 20, "has_more": false }

Stop (already terminal)

json
{ "job": { ... }, "detail": "already in terminal state (cancelled); no action taken" }

Errors

Structured JSON with code and message:

json
{ "error": { "code": "not_found", "message": "daemon \"dmn_xxx\" not found" } }

Codes: invalid_argument, not_found, internal.

Usage Rules

  1. Always provide a description.
  2. Specify port when starting a server — the system confirms the port is actually listening before reporting daemon_url.
  3. Daemons run indefinitely — use yao_daemon_stop to terminate.
  4. Use yao_daemon_restart to restart a crashed or misconfigured daemon without losing its ID.
  5. Monitor output with yao_job_output passing the daemon_id as job_id.

BackgroundJobReceipt

When a daemon's port becomes ready, the system delivers a <BackgroundJobReceipt> XML message containing the daemon_url. Use that URL for subsequent HTTP requests to the daemon.

Frequently asked questions

What does the Yao Daemon AI skill do?

Daemon process management — start, monitor, restart, stop long-running services. ALWAYS invoke this skill when the user asks to start, check, restart, or stop background services, dev servers, or daemon processes.

Why use Yao Daemon on TypingMind?

Because you install it once and use it with any model. Yao Daemon 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 Yao Daemon in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/YaoApp/yao/tree/main/tools/skills/yao-daemon. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Yao Daemon?

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 Yao Daemon?

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

Is the Yao Daemon AI skill free?

It is published on GitHub by YaoApp. 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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