Trellis Spec Bootstrap

OrganizationPopular

fy-agent

trellis-spec-bootstrap

Bootstrap project-specific Trellis coding specs with a platform-neutral single-agent workflow. Use when creating or refreshing .trellis/spec guidelines, analyzing a codebase with GitNexus, ABCoder, or source inspection, decomposing package/layer spec work, and writing real codebase-backed spec docs without placeholder text.

Overview

Publisher	fy-agent
Repository	`fyagent`
Skill name	`trellis-spec-bootstrap`
Stars	1.7K
Forks	139
Bundled files	4
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.
4 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 Spec Bootstrap 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-spec-bootstrap
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-spec-bootstrap .claude/skills/trellis-spec-bootstrap

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

Use it in TypingMind

Enable Trellis Spec Bootstrap 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 Spec Bootstrap 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 Spec Bootstrap 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 Spec Bootstrap

Use this skill to create or refresh .trellis/spec/ guidelines from the real codebase. One capable agent owns the full loop: analyze the repository, choose the spec boundaries, write the docs, and verify the result. The workflow does not depend on a specific host, CLI, or agent brand.

Workflow

Confirm Trellis is initialized and inspect the current .trellis/spec/ tree.
Analyze the repository architecture with the best available tools: GitNexus, ABCoder, language tooling, and direct source reads.
Decompose the spec work by package and layer only when that reflects the actual codebase.
Fill or reshape the spec files with concrete patterns, file paths, examples, and anti-patterns from the project.
Verify that the final specs are internally consistent and contain no template placeholders.

Reference Routing

Need	Read
Repository architecture analysis	references/repository-analysis.md
Spec work decomposition and task planning	references/spec-task-planning.md
Writing high-signal Trellis spec files	references/spec-writing.md
GitNexus and ABCoder MCP setup	references/mcp-setup.md

Operating Rules

Treat templates as starting points, not contracts. Delete, rename, split, or add spec files when the repository calls for it.
Prefer source-backed rules over generic advice. Every important recommendation should point at a real file or repeated local pattern.
Keep execution single-owner by default. Optional helper agents are an implementation detail, not a requirement or user-visible dependency.
Do not write platform-specific instructions unless the target project already standardizes on that platform.
Do not leave placeholder text, empty headings, or copied boilerplate in .trellis/spec/.

Done Criteria

.trellis/spec/ describes the project as it exists now.
Each relevant package or layer has practical coding guidance with real examples.
Non-applicable template sections are removed.
index.md files match the final spec file set.
Any required setup or analysis assumptions are documented in the relevant spec or task notes.

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 Spec Bootstrap AI skill do?

Why use Trellis Spec Bootstrap on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/fy-agent/fyagent/tree/main/.agents/skills/trellis-spec-bootstrap. 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 Spec Bootstrap?

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 Spec Bootstrap?

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

Is the Trellis Spec Bootstrap 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

Trellis Spec Bootstrap

Workflow

Reference Routing

Operating Rules

Done Criteria

Bundled files

Frequently asked questions

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