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Vibe Flow

mcp-monkey-d-luisi-vibe-flow · by Monkey-D-Luisi

Autonomous 8-agent product team for AI-native development. Ships ideas from chat to merged PRs through a 10-stage evidence-gated pipeline. Built on OpenClaw.

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Install

$ agentstack add mcp-monkey-d-luisi-vibe-flow

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming — see below.

Preview Execution monitoring

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About

OpenClaw Extensions

An 8-agent autonomous product team built on OpenClaw Ships ideas from chat to merged PRs through a 10-stage evidence-gated pipeline.

Website • Contributing • Security • API Reference • Changelog


What is this?

An 8-agent autonomous product team that takes product ideas from concept to merged pull request through a 10-stage evidence-gated pipeline. Each agent owns a specific role (PM, PO, Tech Lead, Designer, Backend, Frontend, QA, DevOps) with dedicated skills, tool policies, and model assignments.

The system runs on OpenClaw in Docker with SQLite persistence, Telegram for human oversight, and dynamic LLM routing across multiple providers.

See It in Action

Task 0077: The team builds a landing page about itself.

In March 2026, the 8-agent team completed its first fully autonomous pipeline run — building a GitHub Pages landing page in ~4 minutes with zero human intervention:

  • 8 agents coordinated across all 10 pipeline stages
  • 17 files created (HTML, CSS, JS, SVG, CI workflows)
  • 5 auto-resolved decisions (no human escalation needed)
  • 3 operational issues discovered and subsequently fixed

The PM defined the content strategy, the PO refined user stories, the Tech Lead decomposed the work, the Designer created a dark-theme visual system, the Frontend Dev implemented everything, QA validated, the Tech Lead reviewed, and DevOps created the PR — all autonomously.

Read the full case study: [docs/case-studies/task-0077-autonomous-pipeline.md](docs/case-studies/task-0077-autonomous-pipeline.md)

Architecture

flowchart LR
  AG[Role Agents] --> OC[OpenClaw Gateway]
  OC --> PT[product-team plugin]
  OC --> MR[model-router hook]
  OC --> TN[telegram-notifier]
  OC --> SB[stitch-bridge]
  OC --> VO[virtual-office]
  PT --> DB[(SQLite task DB)]
  PT --> GH[GitHub via gh CLI]
  CI[Local/CI pipeline] --> QG[quality-gate CLI]

The product-team extension follows [hexagonal architecture](docs/architecture/hexagonal-layers.md) with strict inward dependency flow. The [10-stage pipeline](docs/architecture/pipeline-flow.md) orchestrates work from IDEA to DONE with quality gates at each transition.

[Full architecture diagrams](docs/architecture/README.md)

Prerequisites

| Dependency | Version | |-----------|---------| | OpenClaw | latest | | Node.js | 22+ | | pnpm | 10+ | | Docker Desktop / Engine | latest | | GitHub CLI | latest |

Quick Start

Local:

git clone https://github.com/Monkey-D-Luisi/vibe-flow.git
cd vibe-flow
pnpm install
pnpm test

Docker:

cp .env.docker.example .env.docker
# Edit .env.docker with your credentials
docker compose build && docker compose up -d
docker compose ps

See [docs/docker-setup.md](docs/docker-setup.md) for auth credentials, Telegram setup, and troubleshooting.

Agent Roster

| Agent ID | Role | Primary Model | Skills | |----------|------|---------------|--------| | pm | Product Manager | openai-codex/gpt-5.2 | requirements-grooming | | tech-lead | Tech Lead | anthropic/claude-opus-4-6 | tech-lead, architecture-design, code-review, adr | | po | Product Owner | github-copilot/gpt-4.1 | product-owner, requirements-grooming | | designer | UI/UX Designer | github-copilot/gpt-4o | ui-designer | | back-1 | Backend Developer | anthropic/claude-sonnet-4-6 | backend-dev, tdd-implementation, patterns | | front-1 | Frontend Developer | anthropic/claude-sonnet-4-6 | frontend-dev, tdd-implementation | | qa | QA Engineer | anthropic/claude-sonnet-4-6 | qa-testing | | devops | DevOps Engineer | anthropic/claude-sonnet-4-6 | devops, github-automation |

Extensions

| Extension | Purpose | |-----------|---------| | [product-team](extensions/product-team/) | Task engine, workflow orchestration, quality tools, VCS automation, team messaging, decision engine, pipeline, nudge engine | | [quality-gate](extensions/quality-gate/) | Standalone quality engine + CLI (pnpm q:gate, pnpm q:*) for local/CI runs | | [telegram-notifier](extensions/telegram-notifier/) | Telegram notification integration with per-persona bot routing | | [model-router](extensions/model-router/) | Per-agent model routing hook with fallback chains | | [stitch-bridge](extensions/stitch-bridge/) | Google Stitch MCP design bridge for the designer agent | | [virtual-office](extensions/virtual-office/) | Virtual office visualization with agent activity tracking and SSE |

Tool Surface

38 tools across 10 categories: task (5), workflow (3), quality (5), vcs (4), project (3), team (5), decision (4), pipeline (7), metrics (1), agent (1). Plus 7 standalone qgate_* tools from the quality-gate extension and 8 design_* tools from stitch-bridge.

Full reference: [docs/api-reference.md](docs/api-reference.md)

Skills

17 role-specific skill libraries providing domain expertise to each agent:

| Skill | Description | |-------|-------------| | [adr](skills/adr/) | Architecture Decision Record management | | [agent-eval](skills/agent-eval/) | Agent evaluation and performance assessment | | [architecture-design](skills/architecture-design/) | System architecture design workflows | | [backend-dev](skills/backend-dev/) | Backend development patterns and practices | | [build-error-resolver](skills/build-error-resolver/) | Automated build error diagnosis and resolution | | [code-review](skills/code-review/) | Structured code review workflows | | [devops](skills/devops/) | DevOps, CI/CD, and infrastructure management | | [frontend-dev](skills/frontend-dev/) | Frontend development patterns and practices | | [github-automation](skills/github-automation/) | GitHub workflow automation (branches, PRs, labels) | | [patterns](skills/patterns/) | Software architecture patterns library | | [product-owner](skills/product-owner/) | Product ownership and backlog management | | [qa-testing](skills/qa-testing/) | QA testing strategies and test planning | | [requirements-grooming](skills/requirements-grooming/) | Requirements refinement and user stories | | [skill-factory](skills/skill-factory/) | Meta-skill for creating new skills | | [tdd-implementation](skills/tdd-implementation/) | Test-driven development workflows | | [tech-lead](skills/tech-lead/) | Technical leadership and decision-making | | [ui-designer](skills/ui-designer/) | UI/UX design workflows and design systems |

Quality Gates

| Metric | Threshold | |--------|-----------| | Line coverage | ≥ 80% (major) / ≥ 70% (minor) | | Lint errors | 0 | | TypeScript errors | 0 | | Avg cyclomatic complexity | ≤ 5.0 |

See the [full quality gate evaluation flow](docs/architecture/quality-gates.md).

Documentation

| Resource | Description | |----------|-------------| | [Architecture Diagrams](docs/architecture/README.md) | 8 Mermaid diagrams covering all subsystems | | [ADRs](docs/adr/) | 16 Architecture Decision Records (ADR-001 through ADR-016) | | [Case Studies](docs/case-studies/README.md) | Detailed pipeline execution analysis | | [API Reference](docs/api-reference.md) | Full tool surface documentation | | [Getting Started](docs/getting-started.md) | Step-by-step setup guide | | [Roadmap](docs/roadmap_mvp.md) | Execution history and upcoming phases | | [Docker Setup](docs/docker-setup.md) | Container deployment guide | | [Troubleshooting](docs/troubleshooting.md) | Common issues and solutions | | [Security](SECURITY.md) | Vulnerability reporting |

Development

pnpm test          # Run all tests
pnpm lint          # Lint all packages
pnpm typecheck     # Type-check all packages
pnpm build         # Build all packages
pnpm q:gate        # Run full quality gate

Project Structure

> High-level overview. See [CONTRIBUTING.md](CONTRIBUTING.md) for the full project tree.

vibe-flow/
  .agent.md                 # Governance and execution contract
  .agent/rules/             # Workflow rules (next task, review, PR, audits)
  .agent/templates/         # Templates for tasks, walkthroughs, and reviews
  AGENTS.md                 # Generic multi-agent operating instructions
  CLAUDE.md                 # Claude-focused operating instructions
  openclaw.json             # OpenClaw runtime configuration
  extensions/               # OpenClaw plugins and quality CLI package
    product-team/
      src/
        domain/             # Task and workflow domain model
        orchestrator/       # State machine, transitions, guard enforcement
        persistence/        # SQLite repositories and migrations
        quality/            # Runtime quality logic used by product-team tools
        github/             # GitHub integration via gh CLI
        tools/              # Registered OpenClaw tools (task/workflow/quality/vcs)
      test/
    quality-gate/
      src/                  # Standalone quality-gate engine
      cli/                  # q:gate / q:* CLI entrypoints
      test/
    model-router/           # Per-agent model routing hook
    telegram-notifier/      # Telegram notification integration
    stitch-bridge/          # Google Stitch MCP design bridge
    virtual-office/         # Virtual office visualization
  packages/                 # Shared packages
    quality-contracts/      # Shared parsers, gate policy, complexity analysis
  skills/                   # Role skills loaded by OpenClaw (14 roles)
  site/                     # Landing page (GitHub Pages)
  docs/                     # Product, operations, and execution documentation

Build Your Own Extension

vibe-flow is built on OpenClaw's plugin architecture. Each extension follows a standard pattern with a register(api) entry point and an openclaw.plugin.json manifest.

See the [Getting Started Guide](docs/getting-started.md) and [API Reference](docs/api-reference.md) to build your own extension.

Landing Page

The site/ directory contains a static landing page deployed via GitHub Pages — built entirely by the autonomous agent team ([case study](docs/case-studies/task-0077-autonomous-pipeline.md)).

Live: monkey-d-luisi.github.io/vibe-flow

Project Status

Alpha (v0.2.x) -- 21 epics across 15 phases completed. The system is functional with a full autonomous pipeline, dynamic model routing, budget intelligence, agent learning loop, Telegram command center, and virtual office.

See [docs/roadmapmvp.md](docs/roadmapmvp.md) for execution history and upcoming milestones.

Star History

Contributing

We welcome contributions! See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.

Security

If you discover a vulnerability, please report it via GitHub Security Advisories. See [SECURITY.md](SECURITY.md).

License

MIT. See [LICENSE](LICENSE).


Built with OpenClaw

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.