Trellis Continue

OrganizationPopular

fy-agent

trellis-continue

Resume work on the current task. Loads the workflow Phase Index, figures out which phase/step to pick up at, then pulls the step-level detail via get_context.py --mode phase. Use when coming back to an in-progress task and you need to know what to do next.

Overview

Publisher	fy-agent
Repository	`fyagent`
Skill name	`trellis-continue`
Stars	1.7K
Forks	139
Bundled files	Instructions only
Links	Skill source Repository Homepage

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

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/fy-agent/fyagent/tree/main/.agents/skills/trellis-continue
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.

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-continue .claude/skills/trellis-continue

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Trellis Continue 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 Continue 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 Continue 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.

Continue Current Task

Resume work on the current task — pick up at the right phase/step in .trellis/workflow.md.

Step 1: Load Current Context

bash
python ./.trellis/scripts/get_context.py

Confirms: current task, git state, recent commits.

Step 2: Load the Phase Index

bash
python ./.trellis/scripts/get_context.py --mode phase

Shows the Phase Index (Plan / Execute / Finish) with routing + skill mapping.

Step 3: Decide Where You Are

get_context.py shows the active task's status field. Route by status + artifact presence. This command replaces the user needing to remember the Trellis flow; it does not itself approve implementation.

status=planning + no prd.md → 1.1 (load trellis-brainstorm)
status=planning + prd.md only → decide whether the task is lightweight or complex. Lightweight can move to 1.4 review; complex returns to 1.1 to add design.md + implement.md.
status=planning + complex artifacts complete + sub-agent jsonl not curated (empty, or only a legacy _example placeholder row) → 1.3
status=planning + required artifacts complete + required jsonl curated or inline mode → 1.4 (ask for start review; only run task.py start after user confirms)
status=in_progress + implementation not started → 2.1
status=in_progress + implementation done, not yet checked → 2.2
status=in_progress + check passed → 3.3 (spec update) → 3.4 (commit)
status=completed (rare; usually archived immediately) → archive flow

Phase rules (full detail in .trellis/workflow.md):

Run steps in order within a phase — [required] steps must not be skipped
[once] steps are already done if the required output exists. prd.md alone can be enough only for lightweight tasks; complex tasks also need design.md and implement.md.
You may go back to an earlier phase if discoveries require it

Step 4: Load the Specific Step

Once you know which step to resume at:

bash
python ./.trellis/scripts/get_context.py --mode phase --step <X.X> --platform codex

Follow the loaded instructions. After each [required] step completes, move to the next.

Reference

Full workflow and detailed phase steps live in .trellis/workflow.md. This command is only an entry point — the canonical guidance is there.

Frequently asked questions

What does the Trellis Continue AI skill do?

Why use Trellis Continue on TypingMind?

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

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

Which AI models can use Trellis Continue?

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 Continue?

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

Is the Trellis Continue 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Continue Current Task

Step 1: Load Current Context

Step 2: Load the Phase Index

Step 3: Decide Where You Are

Step 4: Load the Specific Step

Reference

Frequently asked questions

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