devflow

Orchestrate end-to-end development workflows with exploration, planning, implementation, and verification.

Updated Dec 15, 2019

Search Tags:#automation #workflow #planning #verification #orchestration #devflow #spike

Ready to run

npx skills add https://github.com/matsuyoshi30/dotfiles --skill devflow-matsuyoshi30

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: devflow
Source: https://github.com/matsuyoshi30/dotfiles/tree/main/.agents/skills/devflow
Command: npx skills add https://github.com/matsuyoshi30/dotfiles --skill devflow-matsuyoshi30

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Development projects often suffer from fragmented task tracking, misaligned plans, and inconsistent quality gates. This Skill provides an end-to-end orchestration that coordinates exploration, plan refinement, spike prototyping, implementation with WORKLOG/DR loops, and multi-stage reviews to deliver reliable software outcomes.

Core Features & Use Cases

Orchestrates structured development workflows from discovery to verification.
Supports lightweight auto mode for autonomous task execution with quality gates.
Manages artifacts like PLAN.md, WORKLOG.md, exploration.md, and DR (Decision Records) to ensure traceability.

Quick Start

Describe your task to devflow and let it orchestrate exploration, planning, spike prototyping, implementation with WORKLOG/DR loops, and multi-stage review with built-in logging.

Frequently Asked Questions about devflow

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

FAQPage Schema

How do I automate end-to-end software development workflows with quality gates?▼

End-to-end software development workflows are automated by orchestrating exploration, plan refinement, spike prototyping, implementation, and verification with built-in quality gates. Auto mode enables autonomous task execution while maintaining logging and isolation gates for reliable outcomes.

What is spike prototyping in a structured development workflow?▼

Spike prototyping in structured development workflows is a coordinated phase where preliminary implementation validates technical assumptions before full execution. It sits between plan refinement and implementation, ensuring that downstream WORKLOG and DR loops operate on verified foundations.

Do I need a clear task spec to use autonomous development workflow orchestration?▼

A clear task specification is required for autonomous development workflow orchestration. This Skill applies when a user has a defined task and wants autonomous execution with quality gates, managing artifacts like PLAN.md, WORKLOG.md, exploration.md, and Decision Records.

How does decision record handling work during implementation with WORKLOG loops?▼

Decision record handling works by capturing architectural and implementation choices during WORKLOG loops to ensure full traceability. The orchestration manages these DR artifacts alongside implementation progress, preventing misaligned plans and fragmented task tracking.

What is the best way to maintain traceability across multi-stage development reviews?▼

The best way to maintain traceability across multi-stage reviews is through structured artifact management using PLAN.md, WORKLOG.md, and Decision Records. Coordinated end-to-end orchestration logs each stage from discovery to verification, preventing inconsistent quality gates.

When should I not use auto mode for development workflow orchestration?▼

You should not use auto mode for development workflow orchestration when a task specification is unclear or when manual oversight is required. The orchestration depends on clear specs to trigger autonomous execution with quality gates, isolation gates, and DR handling effectively.