Phase-based AI development framework for Claude Code. Orchestrates 16+ specialized agents through structured phases from strategy to deployment.
npx claudepluginhub azidan/archflowPhase-based AI development framework with 16+ specialized agents, structured phases, and file-based handoffs. Works with greenfield and existing codebases.
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Production-ready workflow orchestration with 79 focused plugins, 184 specialized agents, and 150 skills - optimized for granular installation and minimal token usage
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Turn Claude Code into a structured development team.
Website · Quick Start · How It Works · Phases · Agents · Commands
Archflow is a phase-based AI development framework for Claude Code. It orchestrates 16+ specialized agents through a structured workflow — from product strategy to production deployment.
Instead of one AI doing everything, each task goes to an agent with deep expertise in its domain. A product-strategist defines business goals. A ux-designer creates the design system. An api-contract-architect locks down API specs. Then ui-engineer and api-engineer build frontend and backend in parallel — coordinated through file-based handoffs and mandatory approval gates.
Archflow works with any project type — fullstack, frontend-only, backend-only, or mobile — and adapts its phases, agents, and artifact structure accordingly.
claude plugin marketplace add azidan/archflow https://github.com/AZidan/archflow
claude plugin install archflow --scope project
This saves the plugin reference to .claude/settings.json in your repo — any team member who clones gets prompted to install automatically.
Free and open source. No lock-in. Uninstall anytime with claude plugin uninstall archflow.
Open Claude Code in your project directory:
cd your-project
claude
/archflow onboard — agents analyze your code, import context from your tools, and generate all artifacts for approval./archflow feature # Interactive wizard
/archflow feature login # Quick-add by name
Archflow creates the feature branch, breaks it into tasks, and guides implementation through the appropriate agents. Features are filtered by scope — a backend_only repo only sees backend-scoped features from the roadmap.
Building software with AI means context gets lost, quality varies, and the same mistakes repeat. Archflow fixes this with three ideas:
Phase 1 Strategy & Planning product-strategist, feature-planner
Phase 2 Design ux-designer, dsl-generator
Phase 2.25 High-Fidelity Screens SuperDesign MCP (optional)
Phase 2.5 API Architecture api-contract-architect
Phase 3 Implementation (Parallel) ui-engineer + api-engineer, qa-engineer, pm-maestro-reviewer
Phase 4 Quality & Optimization code-reviewer, performance-optimizer, pm-maestro-reviewer
Phase 5 Launch & Operations devops-engineer, post-launch-analyst
Phase 6 Enhancement (On-Demand) i18n-engineer, post-launch-analyst, any agent as needed
Each phase has explicit completion criteria, expected output artifacts, and requires user approval before advancing.
Most AI workflows assume you're starting from scratch. Archflow meets you where you are.
Run /archflow onboard and it dispatches up to 9 agents in parallel to deeply analyze your codebase. They import context from tools you already use (Jira, Notion, Linear, GitHub, Confluence, Slack), reverse-engineer your design system and API contracts, and drop you into the right phase based on what already exists.