By samdae
Structured vibe coding — document-driven development skills with Multi-Agent Debate. 15 skills for systematic workflows from spec to deployment.
Multi-agent debate to derive optimal design through two perspectives. Domain Architect + Best Practice Advisor collaborate in round-based debate. Triggers: arch, architecture, blueprint
archflow plugin help - Show all available archflow skills. Workaround for skills autocomplete issue. Use "/archflow" or just type "archflow help" to see available skills list. Triggers: archflow, archflow help, archflow skills, show archflow commands
Automated implementation based on design document. Analyzes arch.md, creates dependency graph, executes step-by-step. Triggers: build, compile, implement
Verify design document completeness before implementation. Identifies missing details based on defined components and asks user to fill gaps. Triggers: check, verify, validate
Systematic bug fixing based on documents. Cross-references error with design flow to find root cause. Triggers: debug, fix, bugfix
Context-free best practice advisor. Use when you need ideal design patterns without project-specific constraints. Provides industry standards and clean architecture recommendations.
Project-aware design agent. Use when feature design needs project context, domain knowledge, and existing codebase constraints.
Multi-agent debate to derive optimal design through two perspectives. Domain Architect + Best Practice Advisor collaborate in round-based debate. Triggers: arch, architecture, blueprint, 설계, 아키텍처
Show all available archflow skills and recommended workflows. Use "/archflow" to see the full skills list. Triggers: archflow, archflow help, archflow skills, 아크플로우
Automated implementation based on design document. Analyzes arch.md, creates dependency graph, executes step-by-step. Triggers: build, compile, implement
Verify design document completeness before implementation. Triggers: check, verify, validate design
Systematic bug fixing with direct code execution. Cross-references error with design flow to find root cause. Triggers: debug, fix, bugfix
Uses power tools
Uses Bash, Write, or Edit tools
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Document-driven development skills with Multi-Agent Debate for AI coding tools
Archflow is a skill-based plugin for AI coding tools (Cursor, Claude Code, OpenCode) that enables systematic, document-driven development workflows. It leverages Multi-Agent Debate to produce high-quality architectural designs and maintains full traceability from requirements to implementation.
┌─────────────────────────────────────────────────────────────────────────────┐
│ Backend Development │
│ │
│ /spec → /arch → /check → /pre-build → /build → /test │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────────────────┐
│ Frontend Development │
│ │
│ /spec → /arch(BE) → /check → /ui → /arch(FE) → /check → /pre-build │
│ → /build → /test │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────────────────┐
│ Bug Fix │
│ │
│ /debug → /trace → /sync │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────────────────┐
│ Enhancement │
│ │
│ /reinforce → /arch → /check → /pre-build → /build → /test │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────────────────┐
│ Legacy Documentation │
│ │
│ /reverse → /reinforce (optional) → /check │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
SSOT Principle: All changes start from spec.md. arch.md is a derived document.
Open docs/launchpad.md in your AI tool and tell the AI:
"Follow this launchpad to install archflow"
The AI will clone the repository and copy the necessary files automatically.
git clone https://github.com/samdae/archflow.git .archflow-tmp
cp -r .archflow-tmp/skills/ .cursor/skills/
cp -r .archflow-tmp/rules/ .cursor/rules/
cp -r .archflow-tmp/agents/ .cursor/agents/
rm -rf .archflow-tmp
Inside Claude Code, run these commands:
/plugin marketplace add samdae/archflow
/plugin install archflow@samdae
/plugin enable archflow@samdae
git clone https://github.com/samdae/archflow.git .archflow-tmp
cp -r .archflow-tmp/skills/ .opencode/skills/
cp -r .archflow-tmp/commands/ .opencode/commands/
cp -r .archflow-tmp/agents/ .opencode/agents/
cp -r .archflow-tmp/rules/ .opencode/rules/
rm -rf .archflow-tmp
Then add to opencode.json in the project root (create if absent):
{
"$schema": "https://opencode.ai/config.json",
"instructions": [".opencode/rules/archflow-rules.md"]
}
If
opencode.jsonalready exists, append to theinstructionsarray instead of overwriting.
npx claudepluginhub samdae/archflow --plugin archflowPhase-based AI development framework with 16+ specialized agents, structured phases, and file-based handoffs. Works with greenfield and existing codebases.
Make your AI agent code with your project's architecture, rules, and decisions.
[Beta] 6つの専門エージェントチームでコードベースのアーキテクチャを多角的に分析するスキル
AI-powered architecture documentation framework with ADRs, reviews, and pragmatic mode
Use this agent when you need to design scalable architecture and folder structures for new features or projects. Examples include: when starting a new feature module, refactoring existing code organization, planning microservice boundaries, designing component hierarchies, or establishing project structure conventions. For example: user: 'I need to add a user authentication system to my app' -> assistant: 'I'll use the code-architect agent to design the architecture and folder structure for your authentication system' -> <uses agent>. Another example: user: 'How should I organize my e-commerce product catalog feature?' -> assistant: 'Let me use the code-architect agent to design a scalable structure for your product catalog' -> <uses agent>.
Development toolkit for Claude Code — plan, implement, ship, review, and assess features with AI-assisted workflows. Progressive zero-config init: auto-configures with sensible defaults on first skill invocation, no upfront ceremony required. Three-tier ceremony model: swift (lightweight), standard (mid-ceremony spec-plan-execute), and thorough (full pipeline) with severity-aware scope routing. Five entry points: arn-planning (scope router, spec, plan), arn-implementing (execute plans, swift, or standard changes), arn-shipping (commit, push, PR), arn-reviewing-pr (PR feedback), arn-assessing (codebase health). Includes arn-code-sketch for UI preview, arn-code-swift for quick implementations, and arn-code-standard for mid-ceremony changes. Includes arn-code-catch-up for retroactive documentation of out-of-pipeline commits. Pipeline preference persistence for streamlined repeat sessions. Batch pipeline: arn-code-batch-planning (multi-feature planning), arn-code-batch-implement (parallel worktree execution), arn-code-batch-merge (conflict-aware merge), arn-code-batch-simplify (cross-feature quality).