squad

githubMIT活跃维护

用 TypeScript 实现的多智能体团队协作工具,通过 CLI 把多个 AI agent 组织成小队,让它们分工完成任意项目里的开发任务。

Squad: AI agent teams for any project

v1.1.0发布于 2026-10-20 14:49 UTC3,372star +22 / 7 天513fork同步于 2026-11-10 05:40 UTC

怎么上手

由 README 提炼,执行前请确认
npm install -g @bradygaster/squad-cli
squad init
硬件要求按 README 说明

README 未说明

下载:源码 zip·GitHub Releases(安装包)本站不镜像安装包

项目说明

由 README 自动翻译提炼

基于 GitHub Copilot 的人类主导 AI 开发团队,让前端、后端、测试等角色以文件形式常驻仓库协作

用 TypeScript 实现的多智能体团队协作工具,通过 CLI 把多个 AI agent 组织成小队,让它们分工完成任意项目里的开发任务。

核心能力

  • 每个团队成员独立上下文,只读自己的知识并回写学习结果
  • 用 squad init 一键生成团队、章程与路由规则
  • 支持 Claude Code、Kiro、OpenCode、Cursor、Codex 等多宿主
  • squad watch 轮询 Issue 并自动执行,带四级错误恢复
  • squad upgrade 只更新模板与技能,保留 .squad 团队状态

容易踩的坑

npm 安装需 Node.js 22.5+;使用 Issues/PR 与 Ralph 前需先 gh auth login;Copilot 会话建议加 --yolo 否则每次工具调用都要手动批准

内容由模型根据 README 生成,可能不完整或不准确,以官方文档为准。看原文 README

最近发版

5 个版本v1.1.0
  1. v2.0.0-preview.4pre-release2026-11-09 · 2026-11-09 19:04 UTC
    查看更新说明

    What's Changed

    Full Changelog: https://github.com/github/squad/compare/v2.0.0-preview.3...v2.0.0-preview.4

  2. v2.0.0-preview.3pre-release2026-11-01 · 2026-11-01 04:46 UTC
    查看更新说明

    What's Changed

    New Contributors

    Full Changelog: https://github.com/bradygaster/squad/compare/v2.0.0-preview.2...v2.0.0-preview.3

  3. v2.0.0-preview.2pre-release2026-10-26 · 2026-10-26 04:51 UTC
    查看更新说明

    What's Changed

    New Contributors

    Full Changelog: https://github.com/bradygaster/squad/compare/v2.0.0-preview.1...v2.0.0-preview.2

  4. v2.0.0-preview.1pre-release2026-10-24 · 2026-10-24 05:33 UTC
    查看更新说明

    What's Changed

  5. v1.1.0最新正式版2026-10-20 · 2026-10-20 14:49 UTC

    What's Changed

    Full Changelog: https://github.com/bradygaster/squad/compare/v1.0.1...v1.1.0

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    README 原文

    未翻译

    Squad

    English | 中文

    Human-led AI agent teams for any project. One command. A team that helps you move faster with your code.

    Platform

    Breaking changes are documented in CHANGELOG.md.


    What is Squad?

    Squad gives you a human-directed AI development team through GitHub Copilot. Describe what you're building. Get a team of specialists — frontend, backend, tester, lead — that live in your repo as files. They persist across sessions, learn your codebase, share decisions, and help you move faster without giving up oversight.

    Squad is a productivity tool for humans, not a replacement for engineers, reviewers, or decision-makers. People stay accountable for priorities, approvals, and final changes; Squad helps with coordination, repetition, and parallel execution.

    It's not a chatbot wearing hats. Each team member runs in its own context, reads only its own knowledge, and writes back what it learned so the work stays inspectable.

    Responsible AI stance — Squad is built to amplify a human operator with GitHub Copilot, not to remove humans from the loop. Use it to delegate faster, review better, and keep governance close to the code.


    Quick Start

    1. Create your project

    mkdir my-project && cd my-project
    git init
    

    ✓ Validate: Run git status — you should see "No commits yet".

    2. Install Squad

    Choose the install method for your platform:

    MethodCommand
    npm (all platforms, Node.js 22.5+)npm install -g @bradygaster/squad-cli
    Homebrew (macOS)brew install --cask bradygaster/squad/squad
    WinGet (Windows)winget install --id bradygaster.Squad --exact
    Install script (macOS/Linux, no npm)See Standalone Install

    Preview and insider builds are available as squad-preview and squad-insider Homebrew casks, or as bradygaster.Squad.Preview and bradygaster.Squad.Insider WinGet packages.

    Direct archives for macOS, Linux, and Windows are also available from GitHub Releases.

    squad init
    

    All methods install the same CLI. Standalone installs vendor Node.js, so they do not require Node.js or access to the npm registry. See the complete installation guide for prerequisites and platform details.

    ⚡ Want to be up and running in under a second? Use squad init --preset default to start with a fully-configured squad — complete with members, charters, and routing rules — ready to go immediately. The default squad init (without the flag) walks you through setup step by step, ideal if you prefer to build and customize your squad deliberately.

    ✓ Validate: Check that .squad/team.md was created in your project.

    3. Authenticate with GitHub (for Issues, PRs, and Ralph)

    gh auth login
    

    ✓ Validate: Run gh auth status — you should see "Logged in to github.com".

    4. Open Copilot and go

    copilot --agent squad --yolo
    

    Why --yolo? Squad makes many tool calls in a typical session. Without it, Copilot will prompt you to approve each one.

    In VS Code, open Copilot Chat and select the Squad agent.

    Then:

    I'm starting a new project. Set up the team.
    Here's what I'm building: a recipe sharing app with React and Node.
    

    ✓ Validate: Squad responds with team member proposals. Type yes to confirm — they're ready to work.

    Squad proposes a team — each member named from a persistent thematic cast. You say yes. They're ready.


    .NET package

    Building a .NET app that should call a Squad team as a Microsoft Agent Framework agent? Squad.Agents.AI is a NuGet package under src/Squad.Agents.AI. Version 1.0.0 targets .NET 8, 9, and 10 and registers a Squad-backed AIAgent in DI. See the package README for installation and local validation before publication.

    Upgrading

    Upgrading Squad is a two-step process.

    Step 1: Update the CLI binary

    Use the same channel you installed from:

    Installed withUpdate command
    npmnpm install -g @bradygaster/squad-cli@latest
    Homebrewbrew upgrade --cask squad
    WinGetwinget upgrade --id bradygaster.Squad --exact
    Install scriptRe-run the install script
    Direct archiveDownload the newer archive from GitHub Releases

    Step 2: Update Squad-owned files in your project

    squad upgrade
    

    squad upgrade updates squad.agent.md, .github/skills, Squad workflows and .squad/templates/ to the latest versions, comparing content first so a re-run (or a CRLF checkout) changes nothing, and backing up any file you customized to <file>.local-backup before overwriting it. It never touches your .squad/ team state — your agents, decisions, and history are always preserved.

    Use --force to re-apply updates even when your installed version already matches the latest.

    Use Squad in other AI hosts

    Squad is not tied to one client. Add --client to project the same team and the squad_state backend into Claude Code, Kiro, OpenCode, Cursor, OpenAI Codex or Google Antigravity (alongside Copilot):

    squad init --client claude,opencode      # or: --client all
    squad upgrade --client codex             # add a host later; refreshes every configured host
    

    Each host gets a native coordinator file plus MCP wiring; your own settings in .mcp.json, opencode.json and the like are never clobbered. See Using Squad across clients, Squad 2.0 architecture, and the multi-client quickstart.


    Local Development Installation

    To install and run Squad from source for development:

    # Clone the repository
    git clone https://github.com/github/squad.git
    cd squad
    
    # Install dependencies (npm workspaces)
    npm install
    
    # Build the project (SDK first, then CLI)
    npm run build
    
    # Run the CLI directly
    node ./packages/squad-cli/dist/cli-entry.js init
    
    # Or link it globally for convenience
    npm run dev:link
    

    After npm run dev:link, the squad command will be available globally and will use your local build. To update after code changes, re-run npm run build to recompile.


    Quick Commands

    Say "squad commands" in chat to see a categorized menu of common operations — install & upgrade, team management, issues & PRs, plugins, model settings, and session state. You can also ask naturally: "how do I switch state backends?" or "how do I add a team member?" — Squad matches your intent and walks you through it. The squad-commands skill ships out of the box with every squad init and squad upgrade.


    All Commands (17 commands)

    CommandWhat it does
    squad initInit — scaffold Squad in the current directory (idempotent — safe to run multiple times); alias: cast; --client <list> also projects Claude Code, Kiro, OpenCode, Cursor, Codex and Antigravity; use --mode remote <path> for dual-root mode
    squad upgradeUpdate Squad-owned files to latest; never touches your team state; --client <list> adds hosts and refreshes every configured projection; use --migrate-directory to rename .ai-team/ → .squad/
    squad upgrade --selfUpdate the Squad CLI package itself on its own channel (prerelease installs follow @insider, stable follows @latest); --dry-run prints the command without installing; --insider forces the prerelease channel; a downgrade is refused unless --force
    squad client listShow the client hosts configured in .squad/config.json and whether their projected files are present; squad client add <list> projects more hosts
    squad update-checkReport cached CLI update status for tooling/CI; use --json for structured output, --refresh to bypass the cache
    squad statusShow which squad is active and why
    squad triageWatch mode — poll for issues and auto-triage to team (aliases: watch, loop); use --interval <minutes> to set polling frequency (default: 10); with --execute dispatch Copilot agents; use --agent-cmd, --copilot-flags, --auth-user to customize agent execution; --health shows watch status; --log-file for diagnostics
    squad copilotAdd/remove the Copilot coding agent (@copilot); use --off to remove, --auto-assign to enable auto-assignment
    squad doctorCheck your setup and diagnose issues (alias: heartbeat)
    squad link <team-repo-path>Connect to a remote team
    squad externalizeMove .squad/ state outside the working tree; survives branch switches; use --key <name> for custom project key
    squad internalizeMove externalized state back into .squad/
    squad shellDeprecated — Launch interactive shell explicitly. Use copilot --agent squad instead.
    squad exportExport squad to a portable JSON snapshot
    squad import <file>Import squad from an export file
    squad plugin marketplace add|remove|list|browseManage plugin marketplaces
    squad upstream add|remove|list|syncManage upstream Squad sources
    squad napContext hygiene — compress, prune, archive; use --deep for aggressive compression, --dry-run to preview changes
    squad aspireOpen Aspire dashboard for observability
    squad scrub-emails [directory]Remove email addresses from Squad state files (default: .squad/)

    Watch Mode — Ralph's Automated Polling

    Ralph continuously polls for work and dispatches agents to handle it. Watch mode helps a human team stay responsive — Ralph automates triage, execution handoffs, and monitoring, then escalates back to people when judgment or approval is needed.

    Quick Start

    # Monitor for issues (triage mode — no execution)
    squad watch
    
    # Monitor and auto-execute against actionable issues
    squad watch --execute --interval 5
    
    # With a custom agent runner that uses --task instead of -p
    squad watch --execute \
      --agent-cmd "custom-agent run --task {prompt} --autopilot" \
      --auth-user myaccount
    
    # Run watch with diagnostics
    squad watch --execute --log-file ./watch.log --verbose
    
    # Check health of running watch process
    squad watch --health
    

    Key Flags

    FlagDescription
    --executeEnable agent execution (spawn Copilot sessions for actionable issues)
    --interval NPoll every N minutes (default: 10)
    --agent-cmdCustom agent command; use one standalone {prompt} token to place the prompt, or Squad appends -p <prompt>
    --copilot-flagsFlags passed to the default Copilot runner (e.g., --yolo --autopilot)
    --auth-userGitHub/Azure DevOps account to use for agent auth
    --log-fileMirror output to file for later review and diagnostics
    --verboseShow extra diagnostic output (auth probes, callbacks, pulls)
    --healthShow status of running watch: PID, uptime, auth readiness, capabilities
    --overnight-start HH:MMPause watch during off-hours (e.g., --overnight-start 18:00)
    --overnight-end HH:MMResume watch at this time (e.g., --overnight-end 08:00)
    --notify-levelControl output verbosity (all / important / none, default: important)
    --state-backendPersistence strategy (git-notes or orphan-branch, default: in-memory)

    How Watch Decides What to Execute

    Ralph uses an agent-delegated selection pattern:

    1. Ralph scans for triage-eligible issues (unassigned, labeled, etc.)
    2. Ralph builds a context snapshot: issue list, squad state, recent decisions
    3. Ralph writes this context to a temp file using the -p <path> flag
    4. Ralph invokes the agent with that file: gh copilot -p context.md
    5. The agent decides which issue to work on and how
    6. Ralph monitors execution, logs results, updates issue status

    This design keeps the polling loop lean while letting agents handle issue selection automatically under the team's rules, review gates, and escalation policy.

    Issue Selection & Escalation

    Ralph provides a rich prompt scaffold to the agent:

    ## Work Context
    
    ### Available Issues (prioritized)
    - #42 Urgent bug in auth (P0)
    - #89 Performance review pending (P1)
    - #123 Docs update (P2)
    
    ### Why These Issues Matter
    ...context from decision archive...
    
    ### Success Criteria
    - Tests pass
    - Changes match team conventions
    - PR linked to issue
    
    ### When to Escalate
    If blocker detected → pause, log, notify humans
    

    Agents see full context and can decide intelligently rather than blindly executing random work.

    Error Recovery (4-Tier Escalation)

    Watch includes a tiered remediation strategy:

    1. Tier 1 — Circuit Breaker Reset: Clear and retry
    2. Tier 2 — Auth Reprobe: Re-verify credentials
    3. Tier 3 — Git Pull: Update local state
    4. Tier 4 — Pause 30m: Back off for human intervention

    This prevents watch from spamming the same failure endlessly.

    State Backends

    Watch can persist its state in different ways:

    # Default: in-memory (loses state on restart)
    squad watch --execute
    
    # Persist to git-notes (survives restarts, no new branches)
    squad watch --execute --state-backend git-notes
    
    # Persist to orphan branch (isolated history, easy to prune)
    squad watch --execute --state-backend orphan-branch
    

    Graceful Shutdown

    To stop a running watch process gracefully:

    # Create sentinel file
    touch .squad/ralph-stop
    
    # Watch will finish current round and exit cleanly
    # Logs final state, cleans scratch dirs
    

    Cleanup

    Watch automatically prunes stale artifacts:

    • Scratch directories older than 7 days
    • Log files older than 30 days
    • Orphaned orchestration state

    Monitoring Watch

    Check on a running watch:

    squad watch --health
    

    Output example:

    Ralph Watch Status
    
    PID: 12345
    Uptime: 2h 15m
    Last Poll: 2 minutes ago
    
    Auth: Ready (account: [email protected])
    Capabilities: Issue triage, PR review, ADO sync
    
    Next Poll: 14:35 (in 3 minutes)
    Round: 42 / 1200
    

    Interactive Shell

    ⚠️ Deprecated: The interactive shell (squad with no arguments) has been deprecated. For the best Squad experience, use the GitHub Copilot CLI instead.

    copilot --agent squad
    

    See Choose your interface for current options.

    Tired of typing squad followed by a command every time? Enter the interactive shell.

    Entering the Shell

    squad
    

    No arguments. Just squad. You'll get a prompt:

    squad >
    

    You're now connected to your team. Talk to them.

    Shell Commands

    All shell commands start with /:

    CommandWhat it does
    /statusCheck your team and what's happening
    /historySee recent messages
    /agentsList all team members
    /sessionsList saved sessions
    /resume <id>Restore a past session
    /versionShow version
    /clearClear the screen
    /helpShow all commands
    /quitExit the shell (or Ctrl+C)

    Talking to Agents

    Use @AgentName (case-insensitive) or natural language with a comma:

    squad > @Keaton, analyze the architecture of this project
    squad > McManus, write a blog post about our new feature
    squad > Build the login page
    

    The coordinator routes messages to the right agents. Multiple agents can work in parallel—you'll see progress in real-time.

    What the Shell Does

    • Real-time visibility: See agents working, decisions being recorded, blockers as they happen
    • Message routing: Describe what you need; the coordinator figures out who should do it
    • Parallel execution: Multiple agents work simultaneously on independent tasks
    • Session persistence: If an agent crashes, it resumes from checkpoint; you never lose context
    • Decision logging: Every decision is recorded in .squad/decisions.md for the whole team to see

    For more details on shell usage, see the commands table above.

    Samples

    Eight working examples from beginner to advanced — casting, governance, streaming, Docker. See samples/README.md.


    Agents Work in Parallel — You Stay in Control

    Squad helps one human coordinate more work at once. When you give a task, the coordinator launches every agent that can usefully start — simultaneously — while you keep priorities, review, and final decisions.

    You: "Team, build the login page"
    
      🏗️ Lead — analyzing requirements...          ⎤
      ⚛️ Frontend — building login form...          ⎥ all launched
      🔧 Backend — setting up auth endpoints...     ⎥ in parallel
      🧪 Tester — writing test cases from spec...   ⎥
      📋 Scribe — logging everything...             ⎦
    

    When agents finish, the coordinator records follow-up work and leaves a breadcrumb trail so you can review what happened with full context:

    • decisions.md — every decision any agent made
    • orchestration-log/ — what was spawned, why, and what happened
    • log/ — full session history, searchable

    Knowledge compounds across sessions. Every time an agent works, it writes lasting learnings to its history.md. After a few sessions, agents know your conventions, your preferences, your architecture. They stop asking questions they've already answered.

    And it's all in git. Anyone who clones your repo gets the team — with all their accumulated knowledge.

    Each agent gets the right model. Squad picks models quality-first by default: premium for architecture, research and review, standard for code and docs, fast for mechanical work. Opt in to the balanced or economy profile, or to the hydrafusion research preview with "modelProfile": "hydrafusion" in .squad/config.json. Per-agent selection works in the Copilot CLI and app; VS Code runs every agent on the one session model. See Model Selection.


    What Gets Created

    .squad/
    ├── team.md              # Roster — who's on the team
    ├── routing.md           # Routing — who handles what
    ├── decisions.md         # Shared brain — team decisions
    ├── ceremonies.md        # Sprint ceremonies config
    ├── casting/
    │   ├── policy.json      # Casting configuration
    │   ├── registry.json    # Persistent name registry
    │   └── history.json     # Universe usage history
    ├── agents/
    │   ├── {name}/
    │   │   ├── charter.md   # Identity, expertise, voice
    │   │   └── history.md   # What they know about YOUR project
    │   └── scribe/
    │       └── charter.md   # Silent memory manager
    ├── skills/              # Compressed learnings from work
    ├── identity/
    │   ├── now.md           # Current team focus
    │   └── wisdom.md        # Reusable patterns
    └── log/                 # Session history (searchable archive)
    

    Commit this folder. Your team persists. Names persist. Anyone who clones gets the team — with the same cast.

    SDK-First Mode (New in Phase 1)

    ⚠️ Experimental. SDK-first mode is under active development and has known bugs. Use markdown-first (the default) for production teams.

    Prefer TypeScript? You can define your team in code instead of markdown. Create a squad.config.ts with builder functions, run squad build, and the .squad/ files are generated automatically.

    // squad.config.ts
    import { defineSquad, defineTeam, defineAgent } from '@bradygaster/squad-sdk';
    
    export default defineSquad({
      team: defineTeam({ name: 'Platform Squad', members: ['@edie', '@mcmanus'] }),
      agents: [
        defineAgent({ name: 'edie', role: 'TypeScript Engineer', model: 'claude-sonnet-5' }),
        defineAgent({ name: 'mcmanus', role: 'DevRel', model: 'claude-haiku-4.5' }),
      ],
    });
    

    Run squad build to generate all the markdown. See the SDK-First Mode Guide for full documentation.


    Monorepo Development

    Squad is a monorepo with two packages:

    • @bradygaster/squad-sdk — Core runtime and library for programmable agent orchestration
    • @bradygaster/squad-cli — Command-line interface that depends on the SDK

    Building

    # Install dependencies (npm workspaces)
    npm install
    
    # Build TypeScript to dist/
    npm run build
    
    # Build CLI bundle (dist/ + esbuild → cli.js)
    npm run build:cli
    
    # Watch mode for development
    npm run dev
    

    Testing

    # Run all tests
    npm test
    
    # Watch mode
    npm run test:watch
    

    Linting

    # Type check (no emit)
    npm run lint
    

    Publishing

    Squad uses changesets for independent versioning across packages:

    # Add a changeset
    npx changeset add
    
    # Validate changesets
    npm run changeset:check
    

    Changesets are resolved on the main branch; releases happen independently per package.


    SDK documentation

    The SDK provides programmatic control over agent orchestration — custom tools, hook pipelines, file-write guards, PII scrubbing, reviewer lockout, and event-driven monitoring.

    For SDK installation: npm install @bradygaster/squad-sdk


    GitHub Agentic Workflows

    Cast a Squad for any repo — right from a GitHub issue.

    If you use GitHub Agentic Workflows, you can install Squad as a reusable workflow and manage your team with slash commands in issue comments.

    Install

    Squad requires GitHub Issues: slash commands are issue comments, and the merged bootstrap creates a research/proposals issue. Follow the supported seven-step quick start, which checks and enables Issues before installation when the authenticated user has repository administration permission, and stops before creating a bootstrap PR when an administrator must enable them.

    set -euo pipefail
    
    owner_repo="$(gh repo view --json nameWithOwner --jq '.nameWithOwner')"
    issues_enabled="$(gh api "repos/${owner_repo}" --jq '.has_issues')"
    if [ "${issues_enabled}" != "true" ]; then
      if ! gh api --method PATCH "repos/${owner_repo}" \
        -F has_issues=true --silent; then
        echo "STOP: A repository administrator must enable Settings > General > Features > Issues." >&2
        exit 1
      fi
    fi
    
    test "$(gh api "repos/${owner_repo}" --jq '.has_issues')" = "true" || {
      echo "STOP: GitHub Issues must be enabled before installing Squad workflows." >&2
      exit 1
    }
    
    SQUAD_SHA="<40-character-commit-sha>"  # explicit, maintainer-approved; never `commits/dev`
    gh aw add "bradygaster/squad/workflows@${SQUAD_SHA}"
    rm -f .github/skills/agentic-workflows/SKILL.md
    git add -- \
      .github/aw/ \
      .github/skills/ \
      .github/workflows/ \
      .gitattributes
    git commit -m "Add Squad workflow"
    git push
    

    gh aw add compiles the workflows automatically. If it reports unapproved safe-update changes, review them and run gh aw compile --approve.

    Review the complete generated diff before you commit:

    PathWhat gh-aw writesCommit?
    .github/workflows/The Squad workflow sources, shared imports, compiled lock files, and agentics-maintenance.ymlYes
    .github/aw/Supporting gh-aw state, including pinned action versions and SHAsYes
    .github/skills/The exact Squad-owned gh-aw-enlistment skill; remove gh-aw's generated mutable agentic-workflows router before stagingYes
    .gitattributesMarks compiled .lock.yml workflows as generatedYes
    .vscode/Workspace settings that enable GitHub Copilot for Markdown files in VS CodeOptional — commit only if you want to share this workspace setting

    agentics-maintenance.yml is a second installed workflow. Squad configures its created pull request safe output to expire after 14 days, so this workflow runs scheduled expiration cleanup and also exposes manual maintenance operations. To omit it, create .github/workflows/aw.json with {"maintenance": false} before installing. gh-aw then warns that expiration is disabled and removes the maintenance workflow.

    Unlike the mutable router skill, agentics-maintenance.yml is compiled runtime output required for the configured 14-day safe-output expiration behavior. Keep it unless you explicitly disable maintenance before installation.

    Retrospective auto-implementation (opt-in behavior)

    squad-improvement-worker installs as part of the standard seven-workflow gh aw add command above — it is not a separate add-on. The two activation policies are separate: squad-retro can auto-dispatch squad-implement-worker on its own ordinary (non-proposal) action issues once you set "squadRetroAutoImplement": "allow" in .squad/config.json (only bot-authored retrospective issues with a valid Action-Key: qualify), and a maintainer can approve a governance-scoped retrospective proposal (paths under .squad/skills/** or .squad/decisions/inbox/** only) for automated implementation by commenting /squad approve-improvement, an Approved-Revision: content hash and one Approved-Path: line per approved file. The dispatcher forwards the issue and exact comment ID; the worker revalidates the human's permission, revision, revocations and actual patch. /squad revoke-improvement withdraws that authorization at any time — it is a reserved, read-only command open to any actor, and it emits no output of its own.

    Report/proposal-only remains the default. Ordinary opt-in dispatch is capped at three per wake-up (five action issues per report), with one delayed retry and a durable human handoff after exhaustion. Both workers produce drafts only; open, merged and closed-unmerged linked PRs suppress automatic duplicates. Human review and merge are always required.

    See the gh-aw guide for the full authority model.

    Slash commands

    CommandWhat it does
    /squadCast a fresh team from repo analysis
    /squad connect org/repoLink to an external squad
    /squad adopt org/repoFork a squad locally
    /squad cast-member <spec>Add a team member
    /squad retire <name>Remove a team member
    /squad statusCheck current team
    /squad implementImplement an issue or dispatch ready tasks from an epic
    /squad retroRun the shared retrospective now; scheduled and evidence-driven wakeups use the same worker
    /squad approve-improvementAuthorize a governance-scoped retrospective proposal for squad-improvement-worker (write/maintain/admin only)
    /squad revoke-improvementWithdraw a prior approval; reserved, read-only, open to anyone

    Casting brief tip

    Write a detailed team description in the issue body, then comment /squad cast — the issue becomes your casting brief. The more context you give, the better Squad tailors your team.

    📖 See GitHub Agentic Workflows guide for the complete setup, configuration, and usage reference.


    Requirements

    • Node.js ≥22.5.0
    • npm ≥10.0.0
    • Git with SSH agent
    • GitHub CLI (gh) for GitHub integration

    License

    This project is licensed under the terms of the MIT open source license. Please refer to the LICENSE file for the full terms.

    Maintainers

    See CODEOWNERS for the full list.

    Support

    For help or questions about using Squad, please use GitHub Discussions. See SUPPORT.md for details.

    Contributing

    We welcome contributions! See CONTRIBUTING.md for build setup, monorepo structure, and guidelines.

    Code of Conduct

    This project has adopted the Contributor Covenant Code of Conduct. See the full text for details on expected behavior and reporting.