blueprint

Generate step-by-step engineering plans with dependency graphs and parallel step detection.

2|Updated Mar 12, 2026
One-click install
npx skills add https://github.com/sayasaya8039/ZWG_Terminal --skill blueprint-sayasaya8039
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: blueprint
Source: https://github.com/sayasaya8039/ZWG_Terminal/tree/main/.claude/skills/blueprint
Command: npx skills add https://github.com/sayasaya8039/ZWG_Terminal --skill blueprint-sayasaya8039

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the risk of context loss, rework, and misalignment when breaking large, complex engineering tasks (such as multi-PR feature development, cross-session refactors, or multi-agent coordinated work) into discrete, executable steps for fresh agents or team members.

Core Features & Use Cases

  • Adversarial Plan Review: Every generated plan is reviewed by a high-capability sub-agent against an anti-pattern catalog to catch gaps, dependency errors, and edge cases before execution.
  • Cold-Start Step Context: Each step includes a self-contained context brief, so any agent can execute it without reading prior steps or retaining prior session context.
  • Parallel Work Detection: Automatically identifies independent steps that can be run in parallel to speed up multi-session projects, with clear dependency graphs to avoid conflicts.
  • Use Case Example: Plan a 6-PR migration of a monolithic application to a microservices architecture, with parallel workstreams for different service domains and formal rollback strategies for each step.

Quick Start

Use the blueprint skill to create a step-by-step construction plan for adding OAuth 2.0 authentication to the existing web application.

Frequently Asked Questions about blueprint

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

FAQPage Schema
How do I break down a large engineering task into executable steps for multi-session execution?▼

To break down large engineering tasks for multi-session execution, generate self-contained step briefs with cold-start context. This ensures fresh agents can execute discrete steps without retaining prior session context, preventing rework and misalignment.

What is adversarial plan review for multi-PR feature development?▼

Adversarial plan review for multi-PR feature development is a validation mechanism where a high-capability sub-agent evaluates generated plans against an anti-pattern catalog. This process catches dependency errors, gaps, and edge cases before code execution begins.

How do I identify parallel workstreams and dependency graphs for cross-session refactors?▼

Identify parallel workstreams and dependency graphs for cross-session refactors by automatically detecting independent steps that can run concurrently. This parallel step detection speeds up multi-session projects while using clear dependency graphs to avoid execution conflicts.

Can I plan a monolith to microservices migration with parallel workstreams and rollback strategies?▼

Yes, you can plan a monolith to microservices migration with parallel workstreams and rollback strategies. This approach coordinates multiple PRs across different service domains while applying formal mutation protocols to ensure low-risk, executable project plans.

Why does context loss cause rework risks in multi-agent coordinated work?▼

Context loss causes rework risks in multi-agent coordinated work because fresh agents lack prior session memory, leading to misalignment. Self-contained step context briefs solve this by giving agents all necessary execution details without reading prior steps.

What are the limitations of using automated parallel step detection for complex migrations?▼

Automated parallel step detection for complex migrations requires formal mutation protocols and adversarial review to remain safe. Without high-capability sub-agent validation against anti-pattern catalogs, undetected dependency conflicts between independent steps can still occur.