By RBraga01
Enforces structured multi-agent workflows across the development lifecycle: API contract-first development, TDD, database migration planning, incident response, performance audits, code review, and more. A lead orchestrator dispatches specialist agents for planning, debugging, verification, and architecture review.
Hard gate before implementing any API endpoint or service interface. Requires a written, reviewed contract (OpenAPI 3.x, protobuf, or GraphQL schema) before any implementation code is written. Prevents breaking changes, misaligned clients, and undocumented behaviour.
Systematic architecture review workflow. Use before major feature work on an unfamiliar or inherited codebase, before scaling milestones, or as a periodic health check. Maps the system as-built (not as-documented), dispatches parallel specialist reviews, and produces an evidence-backed findings report with severity verdicts.
Use BEFORE any creative work — creating features, building components, adding functionality. Explores user intent, requirements, and design before implementation. Hard-gated: no code until user approves the spec.
Hard gate before any database schema change or data transformation in production. Requires a written migration plan with rollback strategy, dry run, and verification steps before execution. Prevents data loss, downtime, and irreversible schema changes.
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies. Dispatches one focused agent per problem domain, runs them concurrently, then integrates.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Not a marketplace of agents you configure. A pre-configured, pre-enforced engineering team of 26 specialists — with a lead orchestrator, hard quality gates, and a Pipeline Auditor that verifies work was actually done, not just reported. Drop one folder into any project and it's operational from the first keystroke. Works on Claude Code, Codex CLI, Cursor, OpenCode, and GitHub Copilot CLI.
Born from the community. A Team was built by studying, using, and needing to personalise several excellent open-source agent projects. The architecture combines the best patterns from each into a single, portable baseline. See Acknowledgments for the projects that made this possible.
Domain packs — install any alongside A Team:
A Team turns any AI coding assistant into a structured, self-enforcing engineering team. Instead of one general-purpose model trying to do everything, you get:
The infrastructure is stateless by design. Every agent derives its context from files, not memory. Sessions can be interrupted and resumed without drift.
Pick the method that fits your setup. All methods install the same files into your project directory.
Mac / Linux / WSL:
bash <(curl -fsSL https://raw.githubusercontent.com/RBraga01/a-team/main/install.sh)
Windows PowerShell:
irm https://raw.githubusercontent.com/RBraga01/a-team/main/install.ps1 | iex
To install into a specific directory, pass the path as an argument:
bash <(curl -fsSL https://raw.githubusercontent.com/RBraga01/a-team/main/install.sh) /path/to/project
# Clone the repo (shallow, only latest commit)
gh repo clone RBraga01/a-team -- --depth 1
# Copy the infrastructure into your project
cp -r a-team/.claude your-project/
cp -r a-team/skills your-project/
cp -r a-team/hooks your-project/
cp -r a-team/templates your-project/
cp -r a-team/scripts your-project/
cp a-team/INIT_TEMPLATE.md your-project/INIT.md
# Clean up
rm -rf a-team
# Sparse clone — downloads only the necessary directories, not the full repo
git clone --filter=blob:none --sparse --depth 1 \
https://github.com/RBraga01/a-team.git
cd a-team
git sparse-checkout set .claude skills hooks templates scripts
# Copy into your project
cp -r .claude skills hooks templates scripts ../your-project/
cp INIT_TEMPLATE.md ../your-project/INIT.md
cd .. && rm -rf a-team
Windows (PowerShell equivalent):
git clone --filter=blob:none --sparse --depth 1 `
https://github.com/RBraga01/a-team.git
cd a-team
git sparse-checkout set .claude skills hooks templates scripts
Copy-Item -Recurse .claude,skills,hooks,templates,scripts ..\your-project\
Copy-Item INIT_TEMPLATE.md ..\your-project\INIT.md
cd .. ; Remove-Item a-team -Recurse -Force
.claude/, skills/, hooks/, templates/, scripts/ into your project rootINIT_TEMPLATE.md as INIT.mdIf the project is already in progress, use cp -rn (no-clobber) when copying the folders so your existing files are not overwritten:
cp -rn a-team/.claude ./
cp -rn a-team/skills ./
cp -rn a-team/hooks ./
cp -rn a-team/templates ./
cp a-team/INIT_TEMPLATE.md ./INIT.md
AI growth quality enforcement: 14 skills and 5 agents for growth teams
AI UI design quality enforcement: 8 skills and 5 agents for UI design teams
AI product quality enforcement: 6 skills and 3 agents for product teams
AI product quality enforcement: 8 skills and 5 agents for LLM product teams
npx claudepluginhub rbraga01/a-team --plugin a-teamOrchestrate multi-agent teams for parallel code review, hypothesis-driven debugging, and coordinated feature development using Claude Code's Agent Teams
Multi-agent orchestration for Claude Code. 12 specialized agents working in parallel — planning, building, reviewing, debugging. Plus a Hub for always-alive multi-project sessions controllable from Telegram or Slack.
An engineering team in a box for Claude Code. 12 specialized subagents (planner, fullstack-engineer, refactor-specialist, migration-engineer, frontend-designer, critic, vuln-verifier, debugger, db-expert, onboarder, tool-expert, web-researcher) plus 15 automation hooks (pre-commit secret scan, MCP health tracking, cost tracking, test runner, branch protection, large file warner, session summary, batch format, design quality, config protection, and more) wired by the P7/P9/P10 methodology with three red lines: closure discipline, fact-driven, exhaustiveness.
Persona-driven AI development team: orchestrator, team agents, review agents, skills (agent-loaded and user-invocable slash commands), and advisory hooks for Claude Code
AI team workflow harness for Claude Code — specialist agents, shared skills, slash commands, hooks, and staged delegation pipeline.
Multi-agent team orchestration for Claude Code. Set up parallel AI agent teams with file-based planning, progress tracking, and role-based collaboration.