nanostack

Orchestrate end-to-end engineering sprints for AI agents to plan, build, review, test, audit, and ship code.

204|14|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/garagon/nanostack --skill nanostack
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nanostack
Source: https://github.com/garagon/nanostack/tree/main
Command: npx skills add https://github.com/garagon/nanostack --skill nanostack

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Nanostack gives AI coding agents a structured, repeatable engineering workflow so teams avoid shipping unvalidated work, reduce scope errors, and enforce quality checks before code reaches production.

Core Features & Use Cases

  • End-to-end sprint orchestration: Guided phases (think → nano/plan → build → review → qa → security → ship) with artifact persistence and sprint journals.
  • Safety & automation: Guardrails (freeze, pattern-blocking), autopilot runs, and a conductor for parallel multi-agent coordination.
  • Know-how compounding: Automatically saves artifacts, captures learnings, and graduates proven solutions into skill rules to reduce repeated mistakes.
  • Use Case: Run a feature sprint from idea to PR and post-deploy verification with consistent reviews, automated security scans, and a generated sprint journal.

Quick Start

Start with /nano-run to configure the project, then invoke /think to run a guided sprint and produce the first plan and brief.

Frequently Asked Questions about nanostack

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

FAQPage Schema
How do I orchestrate end-to-end engineering sprints with an AI agent?

You can orchestrate engineering sprints by guiding your AI agent through structured phases like plan, build, review, qa, security, and ship, ensuring artifacts are persisted and validated before production.

What is the best way to enforce code review and security audits in AI-assisted development?

Enforce code review and security audits by applying automated guardrails and a multi-agent conductor to coordinate parallel review, QA, and security scans before shipping code.

How do I prevent scope creep when running AI coding workflows?

Prevent scope creep in AI coding workflows by applying sprint guardrails like pattern blocking, scope freezing, and budget gates to restrict the agent from executing unvalidated or out-of-scope work.

Can I use a multi-agent conductor for parallel code generation and testing?

Yes, you can use a multi-agent conductor to coordinate parallel agents for code generation, testing, and security auditing, allowing simultaneous task execution within a single engineering sprint.

How do I persist artifacts and generate sprint journals for AI software development?

Persist artifacts and generate sprint journals by running scripts that automatically save project outputs, capture learnings, and compile a historical record of the sprint from planning to deployment.