arena
Skill1 starsChanged 12 days agoMITView on GitHub
Run N parallel candidates at the same analysis, pipeline, notebook, or chart task, pick a base, and graft the strongest parts of the rest into it. Use for /arena, \"arena this\", or when one attempt at a non-trivial artifact (a transform, a model, a dashboard layout) would lock in the wrong shape.
84 other projects use a version of this, 51 of them edited.
Adopted by
Most recently taken up by
- Yeachan-Heo/oh-my-claude-sisyphustheir own version, first seen Nov 8, 2026
- anorth/agent-skillsedited, first seen Nov 8, 2026
- thatmike1/claude-skillstheir own version, first seen Nov 8, 2026
- Yeachan-Heo/oh-my-claudecodetheir own version, first seen Nov 8, 2026
- endqwerty/endstackedited, first seen Nov 8, 2026
- tristanphvn/keeledited, first seen Nov 8, 2026
Used with
Projects with it also use addskill, apply-firmware and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
ryanportfolioSkilladdskill
Create, import, update, or install repo or personal skills: runtime ownership, resources, discovery checks.
Also in 6 projects that use this
ryanportfolioSkillapply-firmware
Bring current folder (plain folder, existing repo, old or partial firmware copy) up to full Harness Firmware in place. Mirror external repo → adopt-repo.
Also in 6 projects that use this
- +10 more from ryanportfolio
Other versions84 projects use a version of this.
Word for word · 0
None found.
Edited · 51
- backnotprop/pstack★ 3.8k20% same
- moeru-ai/xsai★ 66725% same
- uzairansaruzi/p3-stack★ 12614% same
- dsebban/skills★ 7118% same
- overextended/skills★ 2221% same
- creedants/pstack-t3★ 1816% same
- painhardcore/pstack★ 1825% same
- Scino/fstack★ 1811% same
- mariusflorescu/pstack-t3★ 1316% same
- adjohn/pstack★ 922% same
41 more not listed
Wrote their own version · 33
- Yeachan-Heo/oh-my-claude-sisyphus★ 41ksame name
- Yeachan-Heo/oh-my-claudecode★ 41ksame name
- jtaroreh/agystack★ 128same name
- TheOnlyFusionCube/potetos-for-everyone★ 21same name
- korallis/skills-collection★ 14same name
- thatmike1/claude-skills★ 10same name
- Jakeschincariol/arena-skill★ 6same name
- therealtinhtute/mono-harness★ 5same name
- kinqsradio/orbyn-fullstack-skills★ 4same name
- orbyn-dev/orbyn-fullstack-skills★ 4same name
23 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository50 other files it gives its agents.
- analyst-modeSkill
- architectSkill
- astack-helpSkill
- benchmark-checklistSkill
- blast-radiusSkill
- catch-upSkill
- correctSkill
- create-formal-verification-skillSkill
- figure-it-outSkill
- howSkill
- interrogateSkill
- in-your-own-wordsSkill
- maintain-formal-verification-skillSkill
- no-commentsSkill
- plain-wordsSkill
- principle-attack-the-premiseSkill
- principle-boundary-disciplineSkill
- principle-build-the-leverSkill
- principle-define-the-questionSkill
- principle-encode-lessons-in-structureSkill
- principle-experience-firstSkill
- principle-explain-the-numberSkill
- principle-fix-root-causesSkill
- principle-foundational-thinkingSkill
- principle-guard-the-context-windowSkill
- principle-laziness-protocolSkill
- principle-make-operations-idempotentSkill
- principle-minimize-reader-loadSkill
- principle-model-the-domainSkill
- principle-name-the-estimandSkill
- principle-never-block-on-the-humanSkill
- principle-prove-it-worksSkill
- principle-reproduce-from-clean-stateSkill
- principle-respect-the-grainSkill
- principle-sequence-verifiable-unitsSkill
- principle-simulate-the-methodSkill
- principle-subtract-before-you-addSkill
- principle-test-behavior-not-implementationSkill
- recallSkill
- reflectSkill
- retail-analyticsSkill
- sharpenSkill
- show-me-your-workSkill
- statechartSkill
- swarmSkill
- tddSkill
- teachSkill
- technical-writingSkill
- unslopSkill
- whySkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 83 edited versions we read keep these.
4
Distinctive
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 16
Every candidate gets the same prompt, so the prompt is the contract.
- Distinctive: line 23
Add more runners only when the arena covers several design directions.
- Distinctive: line 32
If a candidate produces nothing, continue with N-1 and note the dropout.
- Distinctive: line 48
If the candidates converge on one shape, that is strong agreement.
“Common” is measured: kept by at least 6 in 10 of the 83 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Arena
Open a todo list with one entry per phase before you launch anything: Frame, Fan out, Cross-judge, Pick, Graft, Verify.
Panel note
This panel uses Claude models only, so vendor diversity is not available. Get diversity from distinct lenses and from mixing opus and sonnet. Give each seat a different lens, such as correctness, cost, or readability, so the candidates do not converge by default.
Phase A: Frame
Every candidate gets the same prompt, so the prompt is the contract.
- State the artifact each candidate produces: a transform module, an analysis notebook, a chart spec, or a schema.
- Derive a rubric of 3 to 6 gradeable criteria for this task. Examples: "row count and key match the spec after each join", "every plotted number traces to the query", "the module runs from a clean process with pinned dependencies". Candidates only see the task, so the rubric is for the picker in Phase D.
- Pick the runners. Use the
Agenttool:- Runner A:
subagent_typegeneral-purpose,modelopus,effortmedium. For judgment-heavy work such as a model design or a metric definition. - Runner B:
subagent_typegeneral-purpose,modelsonnet,effortmedium. For code and mechanical generation. - Add more runners only when the arena covers several design directions. Use the same model several times, each with a different lens, when the work is generation-heavy rather than judgment-heavy.
- Runner A:
- Give each candidate its own writable location. Use
isolationworktreefor code, so parallel candidates never share state. For a notebook or a chart, use a separate output path such as/tmp/arena-<slug>/candidate-<n>/.
Phase B: Fan out
Spawn all candidates in one message. Each brief has the task, the path to the shared grounding (data dictionary, schema, the prior notebook), its own output path, and the instruction to produce the artifact and a short rationale. The rationale names the alternatives considered and what was rejected.
Candidates must not write to a shared warehouse table. Reads must be time-bounded.
If a candidate produces nothing, continue with N-1 and note the dropout.
Phase C: Cross-judge
After every candidate finishes, spawn one judge with subagent_type Explore, model opus, effort high. The brief says "do not edit files". The judge sees the rubric and the candidates by path label. It scores each criterion and recommends a base with a reason. Do not start the judge while candidates are still writing.
Phase D: Pick a base
Read every candidate end to end before you pick. Score each against the rubric, criterion by criterion, not by overall feel. Compare with the cross-judge. Agreement confirms the pick. Disagreement means one of you is biased or the rubric was vague. Read both reasons before you decide.
Pick the base that a future maintainer can extend most easily without breaking its invariants. When two are tied, prefer the cleaner boundary or the smaller API, per the principle-laziness-protocol skill.
Phase E: Graft
Walk each losing candidate once more for what is worth taking, usually one or two things per candidate. Fold each graft in by hand, per the principle-fix-root-causes skill, so the result keeps one model. Do not paste mechanically.
If the candidates converge on one shape, that is strong agreement. Note it and ship it with no graft. If they diverge widely, Phase A was under-specified. Reframe and re-run. Do not average the divergence.
Phase F: Verify
Verify the synthesized artifact like any other output, per the principle-prove-it-works skill. For analysis code, that means a clean re-run on synthetic data, then a run request so the human checks the numbers against the source. If verification finds a problem the arena missed, either Phase A was wrong (re-frame and re-run) or a candidate caught it and the graft was missed (return to Phase E). Do not paper over it.
Outputs
One synthesized artifact, plus a short synthesis note. The note names the base and why, the judge's verdict, each graft with its source candidate, what was rejected and why, any convergence or dropouts, and the verification result.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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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.

