arena
Spawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it.
Skill by weiihann
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/weiihann-arena
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About
Use cases: productivity
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/arena
What's inside
- Skill 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.
- License
- MIT
- Instructions
- 46 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Arena Follow the [portable runtime contract](../pstack-omp/references/runtime.md) for child briefs, parallel execution, panels, models, and fallbacks. Track one checklist entry per phase (Frame, Fan out, Cross-judge, Pick, Graft, Verify) before launching anything. Use the host's planning facility when available. Otherwise keep a compact checklist in the conversation. ## Phase A: Frame Every candidate gets the same prompt, so the prompt is the contract. 1. State the artifact each candidate is producing. 2. Derive the rubric, 3-6 concrete gradeable criteria for what success looks like on *this* task. It is the picker's tool in Phase D. Candidates only see the task. 3. Pick the runners. Use the `arena runners` line in `$PSTACK_CONFIG (or .pstack/config.md)`. If the configuration or that line is missing, use a diverse host-supported panel drawn from `designer`, `planner`, `reviewer`, and `inherit-parent`. The live host inventory wins. An `auto` or `inherit-parent` entry in this line or the cross-judge line runs that seat on the parent chat model, with no explicit model choice. If the host task runner rejects a configured entry, run that seat on the default panel choice of its family and say so. Families go by model prefix (`claude-*`, `gpt-*`, `grok-*`) or canonical role. With no family match, use `inherit-parent`. If it rejects a default, use the closest live choice of the same family the host exposes. Spawn more runners when the arena covers multiple design directions. Use the same choice N times when the work is generation-bound rather than judgment-sensitive. 4. Give each candidate its own output location (a git worktree where possible, otherwise `/tmp/arena-<slug>/candidate-<n>/`), per the **separate-before-serializing-shared-state** principle skill. ## Phase B: Fan out Launch all N children concurrently through the host's task facility. Give each a standalone brief with the task, the path to the shared grounding, its own output path, acceptance criteria, verification, forbidden scope, and instructions to produce the artifact and a short rationale naming the alternatives it considered and what it rejected. If a candidate produces no output, proceed with N-1 and note the dropout. ## Phase C: Cross-judge After all Phase B candidates complete, choose one from the `arena cross-judge pool` line in `$PSTACK_CONFIG (or .pstack/config.md)`. If the configuration or that line is missing, use the host's `reviewer` role or `inherit-parent`. Prefer a different model family from the parent's when the host exposes model identity. Launch one read-only judge child on that choice. It sees the rubric and the candidates by path label, scores each criterion, and recommends a base with rationale. It runs in parallel with your reading in Phase D. Don't spawn it while candidates are still writing. ## Phase D: Pick a base Read every candidate end to end before picking. Score each against the rubric criterion by criterion, not on holistic feel, and compare with the cross-judge. Agreement on the base confirms the pick. Disagreement means one of you is biased or the rubric was ambiguous. Read both rationales before deciding. Pick the base a future maintainer can extend most easily without breaking invariants. When two feel tied, prefer the cleaner boundary or smaller API, per the Laziness Protocol. ## Phase E: Graft Walk each losing candidate once more for what is worth porting into the base, usually one or two things per candidate, not most of it. Fold each graft in by hand, per the **redesign-from-first-principles** principle skill, so the result stays coherent under one mental model. Don't paste mechanically. If the candidates converge on one shape, that is strong agreement. Note it and ship the consensus shape. No graft is needed. If they wildly diverge, Phase A was under-specified. Reframe and re-run rather than averaging the divergence. ## Phase F: Verify Verify the synthesized artifact like any other output, per the **prove-it-works** principle skill. If verification finds a problem the arena missed, either Phase A was wrong (re-frame and re-run) or a candidate caught it and you missed the graft (go back to Phase E). Don't paper over it. ## Outputs One synthesized artifact, with a short synthesis note alongside naming the base and why, the cross-judge's verdict, each graft with its source candidate, what was rejected and why, any convergence or dropouts, and the verification result.
From weiihann/pstack-omp, MIT.
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Signals
- Stars
- 2
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Oct 14, 2026 (15 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/weiihann/pstack-omp
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from weiihann
- 0.575score
how
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Use for "how does X work", code walkthroughs before changing something, and placement / ownership / layering questions ("where should this live", "which…
SkillAFreshness: A★ 2Claude Code +9 - 0.575score
create-verification-skill
weiihann
Generate a project-local verification skill that drives your app the way a user does — any language, framework, or platform.
SkillAFreshness: A★ 2Claude Code +9 - 0.575score
architect
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Sketch types, signatures, and module structure before code, then stay in the loop while implementation fills in.
SkillAFreshness: A★ 2Claude Code +9 - 0.575score
interrogate
weiihann
Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart".
SkillAFreshness: A★ 2Claude Code +9 - 0.567score
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Spawn Comment Sicko, fix accepted findings, and offer encodings for claimed constraints.
SkillAFreshness: A★ 2Claude Code +9 - 0.529score
automate-me
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Use for "automate me", "create/update/refresh my -mode skill", "turn/capture my preferences or working style into a skill", or wanting agents to follow how…
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Cite this page
arena skill. Agent Mart. https://agentmart.dev/skills/weiihann-arena (last updated 2026-10-24)