nano-run

Configure nanostack and guide users through first-time project setup and sprint initiation.

204|14|Updated Mar 25, 2026

Search Tags:#onboarding #setup #sprint #autopilot #project-configuration #nanostack

Ready to run

npx skills add https://github.com/garagon/nanostack --skill nano-run

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: nano-run
Source: https://github.com/garagon/nanostack/tree/main/start
Command: npx skills add https://github.com/garagon/nanostack --skill nano-run

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps users configure nanostack for a project and guides them through a first sprint so they can start productive work without manual setup or guesswork.

Core Features & Use Cases

Automatic environment detection: Reads common project manifests (package.json, go.mod, requirements.txt) and infers defaults.
Conversational setup: Asks one question at a time to configure stack preferences, workflow mode, and permissions.
First-sprint guidance: Walks through an initial sprint flow and invokes follow-up skills for thinking, feature work, or reviews.
Use case: A developer opens a repo, runs the onboarding, selects "step by step", and is guided through planning, building, and reviewing a small feature.

Quick Start

Tell the agent "I want to add notifications to my app" to start the guided onboarding and first sprint.

Frequently Asked Questions about nano-run

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I set up project configuration for a new repository automatically?▼

Project configuration is set up automatically by detecting manifest files like package.json, go.mod, or requirements.txt, then running initialization scripts to infer defaults and save stack preferences to .nanostack/config.json.

What is the best way to guide a development team through a first sprint?▼

Guided first sprint initiation walks users through an interactive onboarding flow, helping configure workflow preferences step by step, then routing to follow-up skills for planning, building, and reviewing small features.

Can I configure workflow preferences and permissions step by step during onboarding?▼

Workflow preferences and permissions are configured step by step through a conversational setup that asks one question at a time, saving your choices directly to the .nanostack/config.json file.

Does automated stack detection work with Python and Go projects?▼

Automated stack detection works with Python and Go projects by reading common project manifests like requirements.txt and go.mod to infer configuration defaults without manual setup.

Why do I need stack detection before starting feature work in a new repository?▼

Stack detection is needed before starting feature work to automatically identify project manifests, apply correct defaults, and route you to appropriate follow-up skills for thinking, building, or reviewing code.

What are the limitations of conversational onboarding for project setup?▼

Conversational onboarding limitations include relying on the presence of recognized project manifests for automated detection, and requiring user interaction to answer configuration questions one at a time before sprint initiation.