Agent Starter Pack

Organization

VectorSpaceLab

agent-starter-pack

Routes Agent Starter Pack tasks to the right workflow for creating, maintaining, and deploying generated agent projects.

Overview

Publisher	VectorSpaceLab
Repository	`AREX-Skill`
Skill name	`agent-starter-pack`
Stars	341
Forks	26
Bundled files	19
License	Apache-2.0
Links	Skill source Repository

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.
19 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by VectorSpaceLab on GitHub. Read the source before you install it.

Installation

Install the Agent Starter Pack 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/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/agent-starter-pack
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/agent-starter-pack

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/VectorSpaceLab/AREX-Skill.git /tmp/AREX-Skill
mkdir -p .claude/skills
cp -r /tmp/AREX-Skill/skills/repositories/repo-skills/agent-starter-pack .claude/skills/agent-starter-pack

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

Use it in TypingMind

Enable Agent Starter Pack 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 Agent Starter Pack 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 Agent Starter Pack 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.

Agent Starter Pack

Use this repo skill for the agent-starter-pack Python package and CLI. It helps future agents choose templates, generate projects, maintain generated output, and wire projects into deployment and Gemini Enterprise workflows.

First check

If you only need to confirm that the package is installed and importable, use the bundled helper first:

bash
python scripts/check_agent_starter_pack.py

For a quick command discovery check, also run:

bash
agent-starter-pack --help

Route map

User intent	Go here
Create a new project, compare templates, or parse a remote template	`sub-skills/project-scaffolding/SKILL.md`
Enhance, extract, or upgrade an existing generated project	`sub-skills/project-maintenance/SKILL.md`
Set up CI/CD, deploy a generated project, inspect observability, configure data ingestion, or register with Gemini Enterprise	`sub-skills/deployment-ops/SKILL.md`

Read these shared references

references/package-overview.md for package identity, install guidance, and the command family map.
references/cli-reference.md for the command-to-subskill mapping.
references/template-catalog.md for the built-in agent/template list.
references/troubleshooting.md for cross-cutting install, import, and CLI issues.
references/repo-provenance.md for the source snapshot used to build this skill.

How to navigate

Identify whether the user is starting from a blank slate or an existing project.
Decide whether the question is about template selection, project maintenance, or cloud deployment.
Read the owning sub-skill’s workflow reference before giving command details.
If the user asks about a cloud prerequisite or generated Makefile target, switch to deployment-ops instead of staying in the root router.

What this skill is not

It is not a runtime agent framework.
It is not a source-repo maintenance guide for the ASP checkout itself.
It does not import or execute the generated skill here.

Safety notes

Generated projects can vary by language, deployment target, and template family.
Remote templates and cloud setup may require network or credentials; do not treat those as default-safe checks.
Do not assume the same commands exist in every generated project; use the template catalog and generated-project references to confirm.

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 Agent Starter Pack AI skill do?

Routes Agent Starter Pack tasks to the right workflow for creating, maintaining, and deploying generated agent projects.

Why use Agent Starter Pack on TypingMind?

Because you install it once and use it with any model. Agent Starter Pack 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 Agent Starter Pack in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/agent-starter-pack. 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 Agent Starter Pack?

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 Agent Starter Pack?

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

Is the Agent Starter Pack AI skill free?

Yes. It is published on GitHub by VectorSpaceLab under the Apache-2.0 license. 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

Agent Starter Pack

First check

Route map

Read these shared references

How to navigate

What this skill is not

Safety notes

Bundled files

Frequently asked questions

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