[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71EK40ZJBF4FN76KF51KGS9":3,"skill-same:01M71EK40ZJBF4FN76KF51KGS9":64},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":37,"linkOnly":38,"markdownContent":39,"markdownBody":40,"frontMatter":41,"refName":42,"commitSha":43,"skillDirectory":44,"forksCount":14,"repositoryHtmlUrl":45,"repositoryHomepageUrl":6,"ownerHtmlUrl":46,"ownerBlogUrl":47,"ownerDescription":48,"updatedAt":49,"install":50,"resources":63},"01M71EK40ZJBF4FN76KF51KGS9","arena",null,"Spawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it. Use for \u002Farena, 'arena this', 'throw it in the arena', or when one attempt at a non-trivial artifact would lock in the wrong shape.","patinaproject\u002Fskills","patinaproject","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F229996889?v=4","01M71E58JKTDNY1138WYZK44TR","Patina Project","01M71E58K5GH4K16MV6A8BQ6NZ",1,"MIT","https:\u002F\u002Fgithub.com\u002Fpatinaproject\u002Fskills\u002Fblob\u002Fmain\u002Fplugins\u002Fcode\u002Fskills\u002Farena\u002FSKILL.md",[],[5,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36],"lock","it","Wrong","base","parts","shape","at","spawn","artifact","candidates","task","one","when","use","graft","pick","for","parallel","2026-11-10 10:12:30",false,"---\nname: arena\ndescription: \"Spawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it. Use for \u002Farena, 'arena this', 'throw it in the arena', or when one attempt at a non-trivial artifact would lock in the wrong shape.\"\n---\n\n# Arena\n\nOn Codex, read the [platform mapping](..\u002Fpatina-mode\u002Freferences\u002Fcodex-tools.md), including its per-skill notes, before following this skill.\n\nOn GitHub Copilot, read the [platform mapping](..\u002Fpatina-mode\u002Freferences\u002Fcopilot-tools.md), including its per-skill notes, before following this skill.\n\nFan out N parallel attempts at the same task. Read every candidate end to end. Pick the strongest as the base. Graft the best ideas from the others into it. Verify the synthesized result.\n\n## Start\n\nOpen a todolist with one entry per phase before launching anything.\n\n1. Frame\n2. Fan out\n3. Cross-judge\n4. Pick\n5. Graft\n6. Verify\n\n## Phase A: Frame\n\nThe N candidates will receive the same prompt, so the prompt is the contract.\n\n1. State the artifact each candidate is producing.\n2. Derive the rubric. State what success looks like for *this* task, then turn it into 3-6 concrete gradeable criteria. The rubric is the picker's tool in Phase D. Candidates only see the task.\n3. Pick the runners. Use the `arena runners` line in `pstack-models.md`. If the sheet or that line is missing, run one each on the defaults in [Models](#models). An `auto` or `inherit-parent` entry in this line or the cross-judge line means the parent model, so omit `model` for it. If the `Agent` tool rejects a configured entry, run that seat on its family's default and say so. Families go by model name, such as Opus, Fable, or Sonnet. With no family match, use the single-role default in [Models](#models). If it rejects a default, use the closest valid slug of the same family from its error message. Spawn more when the arena covers multiple design directions. Same model N times when the work is generation-bound rather than judgment-sensitive.\n4. Assign output paths. Each candidate writes to its own location (a git worktree where possible, otherwise `\u002Ftmp\u002Farena-\u003Cslug>\u002Fcandidate-\u003Cn>\u002F`), per the **separate-before-serializing-shared-state** principle skill.\n\n## Phase B: Fan out\n\nSpawn all N subagents in one message with `run_in_background: true`, each with the task, the path to the shared grounding, its own output path, and instructions to produce both the artifact and a short rationale.\n\nEach rationale names the alternatives the candidate considered and what it rejected.\n\nIf a candidate fails to produce output, proceed with N-1 and note the dropout in the synthesis record.\n\n## Phase C: Cross-judge\n\nAfter all Phase B candidates complete, choose one model from the `arena cross-judge pool` line in `pstack-models.md`. If the sheet or that line is missing, choose from the runner defaults in [Models](#models). Prefer a different model family from the parent's. Spawn one readonly judge subagent on that model. It sees the rubric and the candidates by path label, scores each criterion, and recommends a base with rationale. It runs in parallel with the parent's reading in Phase D, not with the candidates themselves. Don't spawn the judge while candidates are still writing.\n\n## Phase D: Pick a base\n\nRead every candidate end to end before picking.\n\nScore each candidate against the rubric criterion by criterion, not on holistic feel. Compare against 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.\n\nPick the base on which candidate a future maintainer can extend most easily without breaking invariants. Prefer the cleaner boundary or smaller API when two feel tied, per the Laziness Protocol.\n\nRecord the pick and the reason in a short synthesis note alongside the base artifact, including the cross-judge's verdict.\n\n## Phase E: Graft\n\nWalk each losing candidate once more and identify what is worth porting into the base. The signal is usually one or two things per candidate, not most of it.\n\nFold each graft in by hand, per the **redesign-from-first-principles** principle skill. Don't paste mechanically. The result has to remain coherent under one mental model.\n\nRecord what was grafted, from which candidate, and what was rejected and why.\n\nWhen N candidates converge on the same shape, that is a strong agreement signal. Note the convergence in the record and ship the consensus shape. No graft is needed. When N candidates wildly diverge, Phase A was under-specified. Reframe and re-run rather than averaging the divergence.\n\n## Phase F: Verify\n\nThe synthesized artifact has to hold up under the same scrutiny as any other output, per the **prove-it-works** principle skill.\n\nIf verification surfaces a problem the arena did not catch, either Phase A was wrong (re-frame and re-run) or one candidate caught it and you missed the graft (go back to Phase E). Don't paper over.\n\n## Outputs\n\nOne synthesized artifact. One short synthesis note alongside, naming the base, the grafts (with source candidate), the rejections, the dropouts if any, and the verification result.\n\n## Models\n\nRole defaults, stamped from `plugins\u002Fpstack\u002Fmodels.json` (edit there, rerun `tools\u002Fgenerate.mjs`). A matching role line in the `pstack-models.md` override sheet overrides each at runtime; `\u002Fsetup-pstack` writes it and lists its path per runtime.\n\n- arena runners: `opus`, `fable`, `sonnet`, `haiku`\n- arena cross-judge pool: `opus`, `fable`, `sonnet`, `haiku`\n\n## Reasoning effort\n\nA role value in the override sheet may name a reasoning effort after its model, as in `opus @xhigh`. Levels on Claude Code: `low`, `medium`, `high`, `xhigh`, `max`. Which ones apply depends on the model. A value without `@` takes the sheet's `default effort` line, a level or `session`, and `session` when the sheet has no such line. `session` sets no effort, so the dispatch is the usual one. Strip the suffix before reading the model: `inherit-parent` or `auto` still omits `model` at every level, and a model name is passed as `model`. On Claude Code, a level picks the effort agent from the `subagent_type` you would otherwise use. `patina-agent` becomes `subagent_type: \"patina-agent-\u003Clevel>\"`. `general-purpose`, or no `subagent_type`, becomes `subagent_type: \"effort-\u003Clevel>\"`. The effort agents set only `effort`, so the model you pass still decides the model. On Codex, pass the level as `spawn_agent`'s `reasoning_effort` and keep the usual instructions.\n","# Arena\n\nOn Codex, read the [platform mapping](..\u002Fpatina-mode\u002Freferences\u002Fcodex-tools.md), including its per-skill notes, before following this skill.\n\nOn GitHub Copilot, read the [platform mapping](..\u002Fpatina-mode\u002Freferences\u002Fcopilot-tools.md), including its per-skill notes, before following this skill.\n\nFan out N parallel attempts at the same task. Read every candidate end to end. Pick the strongest as the base. Graft the best ideas from the others into it. Verify the synthesized result.\n\n## Start\n\nOpen a todolist with one entry per phase before launching anything.\n\n1. Frame\n2. Fan out\n3. Cross-judge\n4. Pick\n5. Graft\n6. Verify\n\n## Phase A: Frame\n\nThe N candidates will receive the same prompt, so the prompt is the contract.\n\n1. State the artifact each candidate is producing.\n2. Derive the rubric. State what success looks like for *this* task, then turn it into 3-6 concrete gradeable criteria. The rubric is the picker's tool in Phase D. Candidates only see the task.\n3. Pick the runners. Use the `arena runners` line in `pstack-models.md`. If the sheet or that line is missing, run one each on the defaults in [Models](#models). An `auto` or `inherit-parent` entry in this line or the cross-judge line means the parent model, so omit `model` for it. If the `Agent` tool rejects a configured entry, run that seat on its family's default and say so. Families go by model name, such as Opus, Fable, or Sonnet. With no family match, use the single-role default in [Models](#models). If it rejects a default, use the closest valid slug of the same family from its error message. Spawn more when the arena covers multiple design directions. Same model N times when the work is generation-bound rather than judgment-sensitive.\n4. Assign output paths. Each candidate writes to its own location (a git worktree where possible, otherwise `\u002Ftmp\u002Farena-\u003Cslug>\u002Fcandidate-\u003Cn>\u002F`), per the **separate-before-serializing-shared-state** principle skill.\n\n## Phase B: Fan out\n\nSpawn all N subagents in one message with `run_in_background: true`, each with the task, the path to the shared grounding, its own output path, and instructions to produce both the artifact and a short rationale.\n\nEach rationale names the alternatives the candidate considered and what it rejected.\n\nIf a candidate fails to produce output, proceed with N-1 and note the dropout in the synthesis record.\n\n## Phase C: Cross-judge\n\nAfter all Phase B candidates complete, choose one model from the `arena cross-judge pool` line in `pstack-models.md`. If the sheet or that line is missing, choose from the runner defaults in [Models](#models). Prefer a different model family from the parent's. Spawn one readonly judge subagent on that model. It sees the rubric and the candidates by path label, scores each criterion, and recommends a base with rationale. It runs in parallel with the parent's reading in Phase D, not with the candidates themselves. Don't spawn the judge while candidates are still writing.\n\n## Phase D: Pick a base\n\nRead every candidate end to end before picking.\n\nScore each candidate against the rubric criterion by criterion, not on holistic feel. Compare against 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.\n\nPick the base on which candidate a future maintainer can extend most easily without breaking invariants. Prefer the cleaner boundary or smaller API when two feel tied, per the Laziness Protocol.\n\nRecord the pick and the reason in a short synthesis note alongside the base artifact, including the cross-judge's verdict.\n\n## Phase E: Graft\n\nWalk each losing candidate once more and identify what is worth porting into the base. The signal is usually one or two things per candidate, not most of it.\n\nFold each graft in by hand, per the **redesign-from-first-principles** principle skill. Don't paste mechanically. The result has to remain coherent under one mental model.\n\nRecord what was grafted, from which candidate, and what was rejected and why.\n\nWhen N candidates converge on the same shape, that is a strong agreement signal. Note the convergence in the record and ship the consensus shape. No graft is needed. When N candidates wildly diverge, Phase A was under-specified. Reframe and re-run rather than averaging the divergence.\n\n## Phase F: Verify\n\nThe synthesized artifact has to hold up under the same scrutiny as any other output, per the **prove-it-works** principle skill.\n\nIf verification surfaces a problem the arena did not catch, either Phase A was wrong (re-frame and re-run) or one candidate caught it and you missed the graft (go back to Phase E). Don't paper over.\n\n## Outputs\n\nOne synthesized artifact. One short synthesis note alongside, naming the base, the grafts (with source candidate), the rejections, the dropouts if any, and the verification result.\n\n## Models\n\nRole defaults, stamped from `plugins\u002Fpstack\u002Fmodels.json` (edit there, rerun `tools\u002Fgenerate.mjs`). A matching role line in the `pstack-models.md` override sheet overrides each at runtime; `\u002Fsetup-pstack` writes it and lists its path per runtime.\n\n- arena runners: `opus`, `fable`, `sonnet`, `haiku`\n- arena cross-judge pool: `opus`, `fable`, `sonnet`, `haiku`\n\n## Reasoning effort\n\nA role value in the override sheet may name a reasoning effort after its model, as in `opus @xhigh`. Levels on Claude Code: `low`, `medium`, `high`, `xhigh`, `max`. Which ones apply depends on the model. A value without `@` takes the sheet's `default effort` line, a level or `session`, and `session` when the sheet has no such line. `session` sets no effort, so the dispatch is the usual one. Strip the suffix before reading the model: `inherit-parent` or `auto` still omits `model` at every level, and a model name is passed as `model`. On Claude Code, a level picks the effort agent from the `subagent_type` you would otherwise use. `patina-agent` becomes `subagent_type: \"patina-agent-\u003Clevel>\"`. `general-purpose`, or no `subagent_type`, becomes `subagent_type: \"effort-\u003Clevel>\"`. The effort agents set only `effort`, so the model you pass still decides the model. On Codex, pass the level as `spawn_agent`'s `reasoning_effort` and keep the usual instructions.\n",{"name":5,"description":7},"main","e6ee720f466a8344a52abd87679191fadde3b63f","plugins\u002Fcode\u002Fskills\u002Farena","https:\u002F\u002Fgithub.com\u002Fpatinaproject\u002Fskills","https:\u002F\u002Fgithub.com\u002Fpatinaproject","https:\u002F\u002Fwww.patinaproject.com","The best way to pick your next pair of boots or shoes.","2026-11-12 00:44:02",{"source":8,"skillName":5,"commands":51,"prompt":61,"zipAvailable":62},[52,55,58],{"tool":53,"command":54},"npx","npx skills add patinaproject\u002Fskills --skill arena",{"tool":56,"command":57},"bunx","bunx skills add patinaproject\u002Fskills --skill arena",{"tool":59,"command":60},"pnpm","pnpm dlx skills add patinaproject\u002Fskills --skill arena","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fpatinaproject\u002Fskills\u002Fblob\u002Fmain\u002Fplugins\u002Fcode\u002Fskills\u002Farena\u002FSKILL.md",true,[],[65,73,101,113,135,158],{"skillNo":66,"name":67,"nameZh":6,"description":68,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":69,"categories":70,"keywords":71,"publishedAt":72},"01M72KDQJR99954NE224VB3KZ2","code-review","Review the changes since a fixed point (commit, branch, tag, or merge-base) along five axes: Standards (does the code follow this repo's documented coding standards?), Spec (does the code match what the originating issue\u002Fspec asked for?), Evidence (does each claim in the pull request have evidence that shows it?), Bugs (does the changed code have logic errors, unhandled states, races, or regressions?), and Security (does the change open injection, auth, secret, input, or CI workflow holes?). Runs the reviews in parallel sub-agents, tags every finding Important, Nit, or Pre-existing, and reports them side by side with what blocks merge. Given an earlier reviewed head and its findings, it reviews only the newer commits, rechecks the earlier findings, and never repeats one. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to \"review since X\".","https:\u002F\u002Fgithub.com\u002Fpatinaproject\u002Fskills\u002Fblob\u002Fmain\u002Fplugins\u002Fcode\u002Fskills\u002Fcode-review\u002FSKILL.md",[],[],"2026-11-10 22:39:42",{"skillNo":74,"name":75,"nameZh":6,"description":76,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":77,"categories":78,"keywords":89,"publishedAt":37},"01M71ESEDVHD9EXN6787XHP7HD","writing-for-pstack","Write or tighten an operator prompt for a patina-mode run. Use when the operator asks to write, revise, or review a prompt that will be passed to patina-mode.","https:\u002F\u002Fgithub.com\u002Fpatinaproject\u002Fskills\u002Fblob\u002Fmain\u002Fplugins\u002Fwork\u002Fskills\u002Fwriting-for-pstack\u002FSKILL.md",[79,84],{"categoryNo":80,"categoryName":81,"taxonomyType":82,"taxonomyTypeDesc":83},"01JBSEEDCAT000000000000018","写作与文案","SCENARIO","使用场景",{"categoryNo":85,"categoryName":86,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[35,90,91,92,93,94,95,96,97,32,98,99,31,100],"pstack","writing","writing for pstack","review","run","mode","write","operator","tighten","prompt","revise",{"skillNo":102,"name":103,"nameZh":6,"description":104,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":105,"categories":106,"keywords":109,"publishedAt":37},"01M71ESCJ0SSJFFENF8HYDKBTJ","writing-for-agents","Writing documents for agents. Use when creating or editing skills, or modifying AGENTS.md or CLAUDE.md.","https:\u002F\u002Fgithub.com\u002Fpatinaproject\u002Fskills\u002Fblob\u002Fmain\u002Fplugins\u002Fwork\u002Fskills\u002Fwriting-for-agents\u002FSKILL.md",[107,108],{"categoryNo":80,"categoryName":81,"taxonomyType":82,"taxonomyTypeDesc":83},{"categoryNo":85,"categoryName":86,"taxonomyType":87,"taxonomyTypeDesc":88},[110,35,91,111,32,112,31],"writing for agents","editing","documents",{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":117,"categories":118,"keywords":119,"publishedAt":37},"01M71ESA1NN9WVMD2HA5Z1RRDY","wizard","Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.","https:\u002F\u002Fgithub.com\u002Fpatinaproject\u002Fskills\u002Fblob\u002Fmain\u002Fplugins\u002Fwork\u002Fskills\u002Fwizard\u002FSKILL.md",[],[115,120,121,122,30,123,31,124,125,126,127,128,32,129,130,131,35,132,133,134],"interactive","can","credentials","Bash","invoke","dashboard","generate","human","secrets","provisioning infrastructure","ci","up","setting","running","only",{"skillNo":136,"name":137,"nameZh":6,"description":138,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":139,"categories":140,"keywords":141,"publishedAt":37},"01M71ES8FAN567N3JEPG8W6AS1","wayfinder","Plan a huge chunk of work (more than one agent session can hold) as a shared map of decision tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.","https:\u002F\u002Fgithub.com\u002Fpatinaproject\u002Fskills\u002Fblob\u002Fmain\u002Fplugins\u002Fwork\u002Fskills\u002Fwayfinder\u002FSKILL.md",[],[137,142,143,144,145,146,147,148,149,150,151,152,25,153,154,155,156,121,157,30],"more","true","decision","session","time","chunk","as","shared","map","tickets","destination","tracker","plan","work","agent session","one at a time",{"skillNo":159,"name":160,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":162,"categories":163,"keywords":164,"publishedAt":37},"01M71ES6PWJPKBW8R24YFH4PY6","wait-what","Stop. That last message did not land: re-pitch it.","https:\u002F\u002Fgithub.com\u002Fpatinaproject\u002Fskills\u002Fblob\u002Fmain\u002Fplugins\u002Fwork\u002Fskills\u002Fwait-what\u002FSKILL.md",[],[165,166,167,20,168,169,170,171,143,172],"wait","wait what","stop","land","re","pitch","message","last"]