Does dev-plan write actual implementation code?

No, dev-plan focuses strictly on the planning and analysis phases (Phases 0–2). Once the plan is approved, you should use the /dev-build command to execute the coding phase.

How does dev-plan detect my project's technology stack?

It scans your repository for build signals like package.json, pom.xml, or pyproject.toml and looks for framework-specific patterns to identify your language, database, and tools.

Do I need a Mermaid plugin to see the architecture diagrams?

While dev-plan can generate the Mermaid code automatically, having a Mermaid-compatible viewer or plugin will allow you to render the visual flowcharts and component diagrams.

Where are the planning documents stored?

All outputs, including the task manifest, stack details, and implementation plan, are stored in a unique directory under .claude/pipeline/task-xxxx/.

What is the dev-plan skill used for?

It is used to automate the planning, discovery, and architectural design phases of a software development task, ensuring a solid roadmap is created before implementation begins.

Dev Plan Orchestrator

Name: Dev Plan Orchestrator
Author: tymoj

bytymoj

0•

Productividad y Flujo de Trabajo

Orchestrates the planning phase of the software development lifecycle by detecting tech stacks and generating architectural blueprints.

Dev Plan is a comprehensive SDLC orchestrator designed to handle the initial phases of engineering tasks with precision. It automates technical discovery, stack detection, and requirement gathering to produce a validated, visual implementation plan before coding starts. By coordinating specialized agents for code, schema, and API research, it ensures all dependencies, risks, and architectural needs are identified and documented in an isolated task workspace.

Características Principales

01Visual plan generation featuring Mermaid flowcharts and component diagrams.

02Multi-agent research including schema analysis and API contract discovery.

03Automatic tech stack detection for Java, Node.js, Python, and more.

04Built-in gap analysis to identify missing requirements and technical debt.

050 GitHub stars

06Isolated workspace management for every task within .claude/pipeline/.

Casos de Uso

01Performing deep discovery on unfamiliar codebases to map dependencies and logic.

02Standardizing the pre-coding planning phase across diverse engineering teams.

03Architecting new features by generating a detailed blueprint and file manifest.

Características Principales

01Visual plan generation featuring Mermaid flowcharts and component diagrams.

02Multi-agent research including schema analysis and API contract discovery.

03Automatic tech stack detection for Java, Node.js, Python, and more.

04Built-in gap analysis to identify missing requirements and technical debt.

050 GitHub stars

06Isolated workspace management for every task within .claude/pipeline/.

Casos de Uso

01Performing deep discovery on unfamiliar codebases to map dependencies and logic.

02Standardizing the pre-coding planning phase across diverse engineering teams.

03Architecting new features by generating a detailed blueprint and file manifest.