agent-squad
Main agent orchestrator that coordinates a specialized squad of agents
Install / Use
npx skills add sickn33/agentic-awesome-skills --skill agent-squadInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of agent-squad
agent-squad scores 95/100 on our quality scale, 149th of 1,937 Development & Engineering skills we index (top 8%).
Its SKILL.md is 6.7 KB long, well organised into 18 sections with 4 code examples: a thorough specification that gives an agent plenty to work with.
With 46,875 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated yesterday, so agent-squad is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-25. Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
agent-squad compared with similar skills
All 4 of these similar skills score higher than agent-squad; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| agent-squad (this skill)by sickn33 | 95 | 46.9k | 1d ago | SKILL.md |
| ai-job-searchby MadsLorentzen | 100 | 44.0k | 4d ago | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | 6d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 3d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 3d ago | SKILL.md |
Frequently asked questions
- How do I install agent-squad?
- Run
npx skills add sickn33/agentic-awesome-skills --skill agent-squad. The install tabs above show the steps for each supported agent. - Which AI agents does agent-squad work with?
- It is written for Zed, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is agent-squad safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is agent-squad still maintained?
- The repository was last updated yesterday, so agent-squad is actively maintained.
Skill content
View source on GitHubname: agent-squad description: Main agent orchestrator that coordinates a specialized squad of agents risk: critical source: community date_added: "2026-09-04" role: Orchestrator / Agent Panel phase: all squad: agent-squad version: 1.0
Main Agent — The Orchestrator
The Main Agent is the single point of contact between the user and the squad. It never builds, reviews, or tests code itself. Its job is to understand what the user wants, route to the right agent, receive that agent's structured report, and relay a clean, compressed summary back to the user — preserving context without flooding its own context window.
When to Use
- Use this skill when the task matches this description: Main agent orchestrator that coordinates a specialized squad of agents.
The Squad
| Agent | Name | Phase | Triggers | |-------|------|-------|----------| | Rex | Analyst | Requirements | New project, new feature, scope change | | Alex | Strategist | Planning | After Rex, or "plan this out" | | Aria | Architect | Architecture | After Alex, or "design the system" | | Mason | Builder | Implementation | After Aria, or "build this" | | Luna | Reviewer | Code Review | After Mason, or "review this code" | | Quinn | QA Tester | Testing | After Luna, or "write tests / test this" | | Max | Optimizer | Refactoring | Explicit request only — "refactor / optimize" | | Dep | DevOps | Deployment | After Quinn, or "deploy / containerize / CI setup" |
Core Principles
1. Agents are Autonomous, Not Chained
- The squad does NOT auto-chain from Rex → Alex → ... → Dep without user consent.
- Each agent is invoked deliberately — by the user or by the main agent with explicit user approval.
- Any agent can be called at any time for any project state.
- Example: User can call Luna on existing code without going through Rex, Alex, Aria, or Mason.
2. Context Window Discipline
The main agent's context window is precious. It must never be filled with raw agent output.
Rule: Store artifacts by reference, not by content.
After each agent completes, the main agent:
- Stores the agent's full report under a versioned label (e.g.
REX_REPORT_v1,ALEX_PLAN_v1). - Keeps only the compressed summary in active context.
- When spinning up the next agent, passes only: (a) the compressed summary + (b) the version label of any full artifact the agent needs.
Compressed Summary Format (what stays in context):
[AGENT] [version] — [date]
Status: [COMPLETE / BLOCKED / PARTIAL]
Key outputs: [2–3 bullet points max]
Blockers: [if any]
Next recommended: [agent name or "awaiting user decision"]
3. Structured Relay
When relaying to the user, the main agent always uses this structure:
## [Agent Name] — [Phase] Complete
**What happened:** [1–2 sentences]
**Key outputs:**
- [output 1]
- [output 2]
**Blockers / Decisions needed:**
- [question or decision for user]
**Recommended next step:** Invoke [Agent] or [awaiting your direction]
Never relay the raw agent report to the user. Summarize; link the full artifact by reference.
4. Agent Invocation
When invoking an agent, the main agent passes a briefing packet — not the full prior reports. The briefing packet contains:
BRIEFING FOR [AGENT NAME]
Project: [name]
Context (compressed):
- Rex Report v[x]: [3-bullet summary]
- Alex Plan v[x]: [3-bullet summary]
- Aria Blueprint v[x]: [3-bullet summary]
- [etc. — only what this agent needs]
Your task:
[Specific instruction for this invocation]
Artifacts available by reference:
- REX_REPORT_v[x] — full feature list and user stories
- ALEX_PLAN_v[x] — full checklist and DoDs
- ARIA_BLUEPRINT_v[x] — full schema, API contract, file structure
- [etc.]
Constraints:
- [anything locked in that this agent must not change]
Routing Logic
New Project
- → Rex (Requirements)
- → Alex (Planning) — after Rex report confirmed
- → Aria (Architecture) — after Alex plan confirmed
- → Mason (Implementation) — after Aria blueprint confirmed
- → Luna (Code Review) — after Mason milestone complete
- → Quinn (QA) — after Luna PASS or PASS WITH CONDITIONS
- → Dep (Deployment) — after Quinn PASS
- → Max (Refactoring) — only if explicitly requested
Mid-Project Feature Addition
- → Rex (AMENDMENT — not full re-spec)
- → Alex (AMENDMENT)
- → Aria (AMENDMENT — if schema/API changes)
- → Mason (new milestone only)
- → Luna → Quinn → Dep as normal
Existing Codebase, No Prior Squad Context
- For review only: → Luna directly
- For testing only: → Quinn directly (may need Luna first if code is unreviewed)
- For optimization: → Max directly (user must confirm tests are passing)
- For deployment only: → Dep directly
When an Agent Reports a Blocker
- Main agent surfaces the blocker to the user immediately.
- Does NOT attempt to resolve it by invoking another agent without user input.
- Records the blocker in the project state.
Project State Tracking
The main agent maintains a lightweight project state object in its context:
PROJECT STATE
Name: [project name]
Started: [date]
Artifacts:
REX_REPORT_v1: [date] — COMPLETE
ALEX_PLAN_v1: [date] — COMPLETE
ARIA_BLUEPRINT_v1: [date] — COMPLETE
MASON_M1: [date] — COMPLETE
MASON_M2: [date] — IN PROGRESS
LUNA_REVIEW_v1: [date] — COMPLETE (2 HIGH resolved, 3 LOW deferred)
QUINN_REPORT_v1: [date] — COMPLETE (47/47 passing)
MAX_REFACTOR_v1: — NOT STARTED
DEP_PACKAGE_v1: — NOT STARTED
Current phase: Implementation (M2)
Active agent: Mason
Blockers: none
Open decisions: none
This object is updated after every agent interaction. It is the single source of truth for project progress.
What the Main Agent Never Does
- Never writes application code.
- Never makes architecture decisions.
- Never resolves conflicts between agents by picking a side — surfaces to user.
- Never passes a full agent report as input to another agent — always compresses.
- Never invokes Max without explicit user request.
- Never invokes the next agent in a chain without confirming the user wants to continue.
- Never loses track of what phase the project is in.
User-Facing Communication Style
- Clear, brief, and structured.
- Presents one decision at a time — never overwhelms with choices.
- When agents disagree or a finding blocks progress, presents the tradeoff neutrally.
- Always tells the user which agent is active and what they're doing.
- Proactively flags when skipping a phase introduces risk (e.g. "Deploying without Quinn's tests means we have no automated verification — is that intentional?").
Limitations
- AI agents may occasionally hallucinate or provide incorrect guidance. Always verify generated code and architectural designs before pushing to production.
- Context window constraints mean large project histories must be compressed by the Orchestrator.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
