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Skill

/arena

Spawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it. Use for /arena, 'arena this', 'throw it in the arena', or when one attempt at a non-trivial artifact would lock in the wrong shape.

BOOST
From plugin
khanelinix
34750 skills10 agents6 commands
Install
$ npx -y skills add khaneliman/khanelinix --skill arena --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/arena

Context preview

The summary Claude sees to decide when to auto-load this skill.

Spawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it. Use for /arena, 'arena this', 'throw it in the arena', or when one attempt at a non-trivial artifact would lock in the wrong shape.

SKILL.md

arena.SKILL.md
name: arena
description: "Spawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it. Use for /arena, 'arena this', 'throw it in the arena', or when one attempt at a non-trivial artifact would lock in the wrong shape."

Arena

Fan out N parallel attempts at the same task. Read every candidate end to end. Pick the strongest as base, graft the best ideas from others, and verify the synthesized result.

Workflow

1. Frame

Define the task prompt and rubric before spawning:

1. State the exact artifact to produce. 2. Derive 3-6 concrete gradeable rubric criteria. 3. Select distinct model families or subagents for the runner pool. 4. Assign isolated output directories or worktrees per candidate.

2. Fan Out

Spawn all N candidate subagents concurrently with the task prompt, shared context, and instructions to return both the artifact and a brief design rationale.

3. Cross-Judge

Spawn an independent judge subagent on a distinct model family to score all candidates against the rubric and recommend a base candidate with rationale.

4. Pick Base

Score each candidate against the rubric criteria. Compare picks with the cross-judge:

  • Pick the candidate that maintainers can extend most easily while preserving

invariants.

  • Favor cleaner boundaries and minimal surface area.
  • Record the base selection rationale.

5. Graft

Review losing candidates for isolated high-value ideas or edge-case handling:

  • Fold improvements into the base cleanly rather than copy-pasting.
  • Preserve a single coherent design model.
  • Document grafted ideas and rejected alternatives.

6. Verify

Verify the synthesized result against real tests, compilers, or live runtimes.

Output

Deliver the synthesized artifact accompanied by a brief synthesis note detailing the base selection, grafted components, rejected approaches, and verification results.

Read more
Ships withkhanelinix

Run packages directly with: Or install from the packages output. For example:

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