subagent-arena
Skill6 starsChanged 6 months agoMITView on GitHub
Run parallel independent subagents on the same investigation or design question, collect structured outputs, then synthesize the best elements or score approaches. Use for complex research, architecture decisions, or when multiple valid strategies exist. Trigger with "run an arena", "parallel subagents", "compare approaches", "investigate from multiple angles".
In this repository7 other files it gives its agents.
- AGENTS.mdAGENTS.md
- architecture-reviewerSkill
- git-disciplineSkill
- mcp-orchestratorSkill
- plan-mode-orchestratorSkill
- security-auditSkill
- tdd-intelligenceSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 53
Keep subagents read-only unless the arena is specifically about implementation tactics.
- Distinctive: line 54
Always synthesize — never just paste raw subagent output.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Subagent Arena
Harness the parallel reasoning strength of grok-build-0.1.
When to Use
- Ambiguous or high-stakes design questions
- Need to explore multiple implementation strategies safely
- Large investigation where one agent might miss angles
- User explicitly asks for comparison or multiple perspectives
How to Run an Arena
- Define the exact question / charter (write it down).
- Spawn 2–4 subagents with deliberately different charters or constraints.
- Example charters:
- "Approach A: minimal diff, ship fast"
- "Approach B: most correct long-term architecture"
- "Approach C: best testability and observability"
- "Approach D: security and compliance first"
- Example charters:
- Give each subagent:
- The same core context + specific charter
- Instructions to produce structured output (Goal, Tradeoffs, Recommended Steps, Risks, Confidence)
- "Do not make any edits. Investigation only."
- Synthesize:
- Compare outputs side-by-side (use a table).
- Extract the strongest ideas from each.
- Propose a hybrid or winning path.
- Present synthesis + recommendation and (usually) hand off to
plan-mode-orchestrator.
Structured Output Template for Subagents
**Charter:** ...
**Findings:**
- ...
**Tradeoffs:**
- ...
**Recommended Next Steps:**
1. ...
**Risks:**
- ...
**Confidence:** High / Medium / LowBest Practices
- Make charters distinct enough to be useful.
- Keep subagents read-only unless the arena is specifically about implementation tactics.
- Always synthesize — never just paste raw subagent output.
- Track token/cost impact when relevant (especially useful in showcases).
Integration with Other Skills
- Almost always followed by
plan-mode-orchestrator. - Pair with
architecture-reviewerorsecurity-auditfor specialized arenas.
Example Prompts
- "Run a subagent arena on the best way to add persistent memory to the MCP control center."
- "Use parallel subagents to investigate the three possible test strategies for the session analyzer."
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

