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Trellis Before Dev

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fy-agent
trellis-before-dev

Discovers and injects project-specific coding guidelines from .trellis/spec/ before implementation begins. Reads spec indexes, pre-development checklists, and shared thinking guides for the target package. Use when starting a new coding task, before writing any code, switching to a different package, or needing to refresh project conventions and standards.

Overview

Publisherfy-agent
Repositoryfyagent
Skill nametrellis-before-dev
Stars
1.7K
Forks
139
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 fy-agent on GitHub. Read the source before you install it.

Installation

Install the Trellis Before Dev 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-before-dev
  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-before-dev .claude/skills/trellis-before-dev
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Trellis Before Dev 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 Before Dev 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 Before Dev 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.

Read the relevant development guidelines before starting your task.

Execute these steps:

  1. Read current task artifacts:

    • prd.md for requirements and acceptance criteria
    • design.md if present for technical design
    • implement.md if present for execution order and validation plan
  2. Discover packages and their spec layers:

    bash
    python ./.trellis/scripts/get_context.py --mode packages
  3. Identify which specs apply to your task based on:

    • Which package you're modifying (e.g., cli/, docs-site/)
    • What type of work (backend, frontend, unit-test, docs, etc.)
    • Any spec/research paths referenced by the task artifacts
  4. Read the spec index for each relevant module:

    bash
    cat .trellis/spec/<package>/<layer>/index.md

    Follow the "Pre-Development Checklist" section in the index.

  5. Read the specific guideline files listed in the Pre-Development Checklist that are relevant to your task. The index is NOT the goal — it points you to the actual guideline files (e.g., error-handling.md, conventions.md, mock-strategies.md). Read those files to understand the coding standards and patterns.

  6. Always read shared guides:

    bash
    cat .trellis/spec/guides/index.md
  7. For a non-trivial task, state the change boundary before writing code. Non-trivial means it touches more than one file, crosses a layer, changes a public interface, or edits code you did not just write. Write down:

    • the smallest behavior gap between what happens now and what should happen
    • where that behavior actually lives (not where it is easiest to intercept)
    • which files you expect to change, and why each one is necessary
    • what you are explicitly not doing in this task
    • if a local refactor is needed, how you will show it did not change behavior

    A small, well-scoped change does not need this — do it directly.

    If the real scope turns out to be clearly larger than this, say so and why before continuing. Do not widen the change on your own.

  8. Understand the coding standards and patterns you need to follow, then proceed with your development plan.

This step is mandatory before writing any code.

Frequently asked questions

What does the Trellis Before Dev AI skill do?

Discovers and injects project-specific coding guidelines from .trellis/spec/ before implementation begins. Reads spec indexes, pre-development checklists, and shared thinking guides for the target package. Use when starting a new coding task, before writing any code, switching to a different package, or needing to refresh project conventions and standards.

Why use Trellis Before Dev on TypingMind?

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

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

Which AI models can use Trellis Before Dev?

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 Before Dev?

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

Is the Trellis Before Dev 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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