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Trellis Channel

OrganizationPopular
fy-agent
trellis-channel

Use Trellis channel for live multi-agent collaboration, spawned workers, cross-agent review, progress inspection, forum channels, and channel log debugging.

Overview

Publisherfy-agent
Repositoryfyagent
Skill nametrellis-channel
Stars
1.7K
Forks
139
Bundled files
5
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.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by fy-agent on GitHub. Read the source before you install it.

Installation

Install the Trellis Channel 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/fy-agent/fyagent/tree/main/.agents/skills/trellis-channel
  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/fy-agent/fyagent.git /tmp/fyagent
mkdir -p .claude/skills
cp -r /tmp/fyagent/.agents/skills/trellis-channel .claude/skills/trellis-channel
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Trellis Channel 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 Trellis Channel 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 Trellis Channel 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.

trellis-channel

trellis channel is the local multi-agent collaboration runtime. Reach for it when agents need to talk through a durable event log, when a worker should be spawned as a peer process, when an in-flight worker needs interrupt / debugging, or when feedback should be recorded on a durable --type forum channel.

Typical user signals: "和 codex/claude 讨论", "brainstorm with another agent", "spawn an implement/check worker", "let agent review", "open an issue board / changelog forum", "look at this thread", "channel is stuck / no output", "progress was truncated", "how do I write that channel command".

This skill is an index. Load only the reference file for the current job — do not preload all of them.

First Commands

bash
trellis --version
trellis channel --help
trellis channel list --all
trellis channel list --scope global --all

If the user names a channel or thread, inspect it before asking for background:

bash
trellis channel forum <board> --scope global
trellis channel thread <board> <thread> --scope global
trellis channel context list <board> --scope global --thread <thread>

Route By User Intent

User intentRead
"和 codex/claude 讨论一下", "brainstorm with another agent"references/workflows.md
"派一个 implement/check agent", "让 agent review", "spawn a worker"references/workflows.md, then references/workers.md
"开 issue 区 / topic 群 / changelog / board", "make a forum"references/forum.md
"看看这个 thread / linked context", "inspect a thread"references/forum.md
"channel 卡住了 / 没输出 / progress 被截断", "worker stalled"references/progress-debugging.md
"具体命令怎么写", "what flags does X take"references/command-reference.md

Core Rules

  • New forum channels use --type forum. A thread is one item inside a forum channel.
  • Use --context-file / --context-raw and trellis channel context add/delete/list. --linked-context-* is deprecated terminology.
  • Use --stdin or --text-file for long messages. Do not put long mixed Chinese/English text in the positional shell argument.
  • Pretty messages output is an operator dashboard and may truncate progress. Use --raw for audit.
  • --as is the speaker or worker handle, depending on the command. Use explicit, stable names when multiple agents or sessions are involved.
  • --scope project (default) operates on the current cwd's project bucket; --scope global operates on the shared __global__ bucket. Pick scope deliberately — a global board is invisible from project listings unless --scope global is passed.
  • For brainstorm, do multiple pressure-test rounds. One answer plus one confirmation is review, not brainstorm.
  • Dispatcher wait pattern: use --kind done / --kind turn_finished (trellis-emitted system events), NOT a user --tag as the completion signal. CLI help lists phase_done / question as --tag examples but only interrupt is a reserved tag with hardcoded trellis behavior; the others are opaque user labels. Relying on a worker to run send --tag <my_signal> is unreliable — LLM workers commonly write the tag string into prose instead of running the actual CLI command. See references/command-reference.md "tag vs kind".
  • Forum channels are event-sourced. Do not parse events.jsonl first; use forum, thread, messages --thread, and context list.
  • @mindfoldhq/trellis-core owns reusable channel/thread state, event append, seq allocation, context/title projection, reducers, and task helpers. The CLI owns flags, terminal rendering, prompts, worker lifecycle, and process exits.

Reference Files

  • references/workflows.md — canonical collaboration patterns A–F (peer brainstorm, spawned review, dispatch-and-wait, forum issue capture, interrupt-and-redirect, one-shot run).
  • references/forum.md — forum channels, context, title, rename, changelog forums, thread filtering.
  • references/workers.md — spawn, agent cards, context injection (--file / --jsonl), interrupts, kill semantics.
  • references/progress-debugging.md — progress/raw inspection, stalled worker diagnosis, OOM guard, exit codes.
  • references/command-reference.md — current CLI command reference (every subcommand, every flag, output conventions, scope/type model).

Not For

  • One static review where a markdown file and prompt are enough.
  • Replacing normal tool calls with self-logging.
  • Long-term memory retrieval. Use durable forum channels for actionable issues, and trellis mem (the trellis-session-insight skill) for session/history search.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Trellis Channel AI skill do?

Use Trellis channel for live multi-agent collaboration, spawned workers, cross-agent review, progress inspection, forum channels, and channel log debugging.

Why use Trellis Channel on TypingMind?

Because you install it once and use it with any model. Trellis Channel 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 Trellis Channel in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/fy-agent/fyagent/tree/main/.agents/skills/trellis-channel. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Trellis Channel?

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 Trellis Channel?

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

Is the Trellis Channel AI skill free?

It is published on GitHub by fy-agent. 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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