Co-Pilot
Updated a month ago

dream-team

Aashchupliak
0.0k
ashchupliak/dream-team
80
Agent Score

💡 Summary

Dream Team v3.0 enhances Claude workflows for coding tasks using single-agent and multi-agent approaches.

🎯 Target Audience

Software developersProject managersTechnical team leadsDevOps engineersQA testers

🤖 AI Roast:Powerful, but the setup might scare off the impatient.

Security AnalysisMedium Risk

Risk: Medium. Review: shell/CLI command execution; outbound network access (SSRF, data egress); API keys/tokens handling and storage. Run with least privilege and audit before enabling in production.

Dream Team v3.0

Effective Claude workflows based on official Anthropic patterns and real-world feedback.

Philosophy

"A single-threaded linear agent maintains continuous context. This simple approach will get you very far." - Cognition (Devin team)

Less ceremony, more results. Claude works best when it can:

  • Build context itself
  • Ask questions only when genuinely needed
  • Work incrementally
  • Self-review before presenting

Quick Start

Installation

# Option 1: Plugin (Recommended) claude plugins add https://github.com/ashchupliak/dream-team # Option 2: Manual git clone https://github.com/ashchupliak/dream-team.git cd dream-team ./install.sh

Usage

# For 90% of tasks - use /solo /solo Fix the login bug /solo Add rate limiting to the API /solo Why are the tests failing? # For complex features needing multiple perspectives /team Add OAuth with Google and GitHub

Commands

/solo - Primary Workflow (Recommended)

The main command for most tasks. Claude will:

  1. Build context automatically - Read CLAUDE.md, explore codebase, find patterns
  2. Assess confidence - Determine if it has enough info to proceed
  3. Ask only when needed - No forced questions, no ceremonies
  4. Work incrementally - Small steps that compile and work
  5. Self-review - Check own work before presenting
/solo Fix the login bug /solo Add rate limiting to the API /solo Why are the tests failing? /solo Review my changes in the auth module /solo Refactor the user service

/team - Multi-Agent Workflow

For genuinely complex features where you want:

  • Multiple architecture options presented
  • Parallel exploration of different aspects
  • Explicit user checkpoints

Based on Anthropic's feature-dev plugin.

7-phase workflow: Discovery → Exploration → Questions → Architecture → Implementation → Review → Summary

/team Add OAuth authentication with Google and GitHub /team Implement real-time notifications system

Legacy Commands

| Command | Description | |---------|-------------| | /team-a | Original 5-agent with health checks | | /team-b | Original 5-agent standard | | /team-c | Original 3-agent fast |

Kept for comparison. Use /solo instead for most tasks.


When To Use What

| Task | Use | Why | |------|-----|-----| | Bug fix | /solo | Single context, no overhead | | Small feature | /solo | Find patterns, implement, verify | | Investigation | /solo | Explore and report | | Code review | /solo | Read and analyze | | Refactoring | /solo | Incremental changes | | Complex feature | /team | Need multiple architecture options | | Architecture decisions | /team | Want parallel exploration |

Rule of thumb: Start with /solo. Use /team only when you genuinely need multiple perspectives.


Skills

Specialized knowledge Claude can invoke on demand:

| Skill | Domain | |-------|--------| | kotlin-patterns | Kotlin idioms and patterns | | kotlin-spring-boot | Spring Boot 3.x | | nextjs-patterns | Next.js 15 App Router | | prisma-patterns | Prisma ORM | | tanstack-query | React Query | | jooq-patterns | JOOQ type-safe SQL | | flyway-migrations | Database migrations | | api-design | REST API design | | grpc-protobuf | gRPC and Protocol Buffers | | k8s-helm | Kubernetes and Helm | | opentelemetry | Distributed tracing | | systematic-planning | Feature planning | | codex | Codex CLI delegation |

Just mention the domain in your request.


Agents

Available for /team workflows:

| Agent | Role | Model | |-------|------|-------| | analyst | Requirements, research | Sonnet | | architect | Design, APIs, blueprints | Sonnet | | developer | Implementation | Sonnet | | qa | Testing, review | Sonnet | | devops | Infrastructure | Sonnet | | code-reviewer | Deep code review | Sonnet | | security-tester | Security audit | Sonnet | | tech-researcher | Fast research | Haiku |


Project Setup

For best results, add a CLAUDE.md to your project root:

# Project Name ## Commands - Build: npm run build - Test: npm test - Lint: npm run lint ## Tech Stack - Next.js 14, TypeScript, Prisma ## Conventions - Use server components by default - API routes in /app/api/ - Database queries through Prisma only ## Current Focus - Working on user authentication

This helps Claude understand your specific project.


Research Behind This

Based on:

Key insight: Multi-agent systems use ~15x more tokens than single agent. Worth it only for breadth-first parallel research, not sequential development tasks.


What's New in v3.0

  • /solo command - Primary workflow for most tasks
  • Simplified approach - Less ceremony, more results
  • Research-backed - Based on official Anthropic patterns
  • Better defaults - Claude builds context automatically
  • Archived old commands - Kept in commands/archive/ for reference

Changelog

v3.0.0 (2025-12-08)

New:

  • /solo command - single-agent workflow that builds context automatically
  • Updated /team with 7-phase workflow based on Anthropic's feature-dev plugin

Changed:

  • Philosophy shift: single-agent first, multi-agent only when needed
  • Archived specialist commands (codex, parallel-review, quick-fix, etc.)
  • Updated README with research and rationale

v2.0.0 (2025-12-07)

  • 8 agents with model optimization
  • Codex CLI integration
  • Output styles
  • Security hooks

v1.0.0 (2025-12-03)

  • Initial release

Feedback

If Claude:

  • Asks too many questions → Tell it to proceed with assumptions
  • Guesses when it shouldn't → Tell it to ask more
  • Misses context → Add to project CLAUDE.md

The workflow improves with feedback.


License

MIT

Author

Andrii Shchupliak

5-Dim Analysis
Clarity8/10
Novelty7/10
Utility9/10
Completeness8/10
Maintainability8/10
Pros & Cons

Pros

  • Streamlined single-agent workflow
  • Research-backed methodologies
  • Flexible multi-agent capabilities
  • Automatic context building

Cons

  • May require initial setup of CLAUDE.md
  • Complex features need multi-agent approach
  • Limited to Claude's capabilities
  • Older commands archived may confuse users

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Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.

Copyright belongs to the original author ashchupliak.