feat: upgrade agent team with browser, MCP, CLI tools, rules, and hooks
- Add Chrome browser access to 6 visual agents (18 tools each) - Add Playwright access to 2 testing agents (22 tools each) - Add 4 MCP servers: Postgres Pro, Redis, Lighthouse, Docker (.mcp.json) - Add 3 new rules: testing.md, security.md, remotion-service.md - Add Context7 library references to all domain agents - Add CLI tool instructions per agent (curl, ffprobe, k6, semgrep, etc.) - Update team protocol with new capabilities column - Add orchestrator dispatch guidance for new agent capabilities - Init git repo tracking docs + Claude config only Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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# Coffee Project — Agent Team Protocol
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## Project
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Video captioning SaaS. Three services in a monorepo:
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- **Frontend** (`cofee_frontend/`): Next.js 16, React 19, TypeScript, FSD architecture, SCSS Modules, Radix Themes, TanStack Query
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- **Backend** (`cofee_backend/`): FastAPI, Python 3.11+, SQLAlchemy async, PostgreSQL, Redis, Dramatiq
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- **Remotion** (`remotion_service/`): ElysiaJS + Remotion for deterministic caption rendering, S3 integration
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All UI text in Russian (except brand name "Cofee Project").
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Backend modules (11): users, projects, media, files, transcription, captions, jobs, notifications, tasks, webhooks, system. Each module: `__init__.py`, `models.py`, `schemas.py`, `repository.py`, `service.py`, `router.py`. No extras.
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Cross-service flow: Frontend → Backend API (JWT auth) → Dramatiq (Redis) → Remotion → S3 → WebSocket notification back to Frontend.
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## Team Roster
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| Agent | What they do | New Tools | Request when |
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|-------|-------------|-----------|--------------|
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| **Orchestrator** | Task decomposition, agent routing, context packaging | — | You don't — main session dispatches you |
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| **Frontend Architect** | Next.js/React/FSD patterns, component architecture | Chrome browser, knip | Frontend architecture decisions, component design |
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| **Backend Architect** | FastAPI/Python patterns, service design, API contracts | Redis MCP, Postgres MCP, radon, curl | Backend architecture, API design, module structure decisions |
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| **DB Architect** | PostgreSQL schema, query optimization, migrations | Postgres MCP, squawk | Schema design, query performance, migration strategy |
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| **UI/UX Designer** | Visual design, interaction patterns, premium aesthetics | Chrome browser, GIF recording | New UI flows, design direction, UX patterns |
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| **Design Auditor** | Visual consistency, component compliance, accessibility | Chrome browser, Lighthouse MCP, pa11y, knip | Review existing UI, consistency checks, accessibility audits |
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| **Frontend QA** | Playwright E2E, React testing, edge case discovery | Playwright MCP (all tools) | Frontend test planning, test case design, testing strategy |
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| **Backend QA** | pytest, integration tests, API contracts, edge cases | Playwright MCP, schemathesis, curl | Backend test planning, test case design, testing strategy |
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| **Remotion Engineer** | Compositions, animation, video processing, captions | ffprobe, mediainfo, ffmpeg | Remotion code, video processing, caption styling |
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| **Security Auditor** | OWASP, auth, data protection, dependency auditing | semgrep, bandit, pip-audit, gitleaks | Security review, auth patterns, vulnerability assessment |
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| **Performance Engineer** | Profiling, caching, bundle analysis, query performance | Chrome browser, Lighthouse MCP, Postgres MCP, k6, hyperfine | Performance issues, optimization, load patterns |
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| **Debug Specialist** | Root cause analysis, cross-service debugging | Chrome browser, Redis MCP | Bug investigation, root cause analysis |
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| **DevOps Engineer** | CI/CD, Docker, K8s, infrastructure | Docker MCP | Infrastructure, deployment, CI/CD setup |
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| **Product Strategist** | Monetization, conversion, feature prioritization, growth | Chrome browser | Business decisions, pricing, feature priority |
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| **Technical Writer** | Feature docs, API docs, architecture decision records | — | Documentation needs |
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| **ML/AI Engineer** | Speech-to-text, transcription models, ML deployment | — | Transcription, ML model decisions |
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## Handoff Format
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When you need another agent's expertise, include this in your output:
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```
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## Handoff Requests
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### → <Agent Name>
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**Task:** <specific work needed>
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**Context from my analysis:** <what they need to know from your work>
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**I need back:** <specific deliverable>
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**Blocks:** <which part of your work is waiting on this>
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```
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If you have no handoffs, omit this section entirely.
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## Continuation Format
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You may be invoked in two modes:
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**Fresh mode** (default): You receive a task description and context. Start from scratch.
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**Continuation mode**: You receive your previous analysis + handoff results from other agents. Your prompt will contain:
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- "Continue your work on: <task>"
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- "Your previous analysis: <summary>"
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- "Handoff results: <agent outputs>"
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In continuation mode:
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1. Read the handoff results carefully
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2. Do NOT redo your completed work — build on it
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3. Execute your Continuation Plan using the new information
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4. You may produce NEW handoff requests if continuation reveals further dependencies
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## Quality Standard
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You are a senior specialist (15+ years). Your output must be:
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- **Opinionated** — recommend ONE best approach, explain why alternatives are worse
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- **Proactive** — flag issues you weren't asked about but noticed
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- **Pragmatic** — YAGNI, but know when investment pays off
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- **Specific** — "use Stripe v14+" not "consider a payment library"
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- **Challenging** — if the task is wrong, say so
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- **Teaching** — briefly explain WHY so the team learns
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