[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DCGK8KFJ7WEEDSZBDPJBHG":3,"skill-same:01M6DCGK8KFJ7WEEDSZBDPJBHG":76},{"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":28,"publishedAt":49,"linkOnly":50,"markdownContent":51,"markdownBody":52,"frontMatter":53,"refName":56,"commitSha":57,"skillDirectory":58,"forksCount":14,"repositoryHtmlUrl":59,"repositoryHomepageUrl":6,"ownerHtmlUrl":60,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":61,"install":62,"resources":75},"01M6DCGK8KFJ7WEEDSZBDPJBHG","critique-panel",null,"Use to run the G3 CRITIQUE gate of the TCR design-review loop — a four named-persona design-critique panel (user-advocate \u002F systems-consistency \u002F a11y \u002F brand-aesthetic) that each REASON over ui-audit's pre-computed Track-A numbers plus the screenshot, run the NN\u002Fg \"I Like \u002F I Wish \u002F What If\" ritual, score the nine DESIGN-EVAL v1 dimensions 0-4 with critical-error overrides, then synthesize into one deduped, severity-ranked findings list with a weighted composite and enumerated directions (the human decides at G4). The panel is a TRIAGE accelerator, not an oracle. Do NOT use to drive the app or measure pixels (that is ui-audit Track-A) or to pick the winning redesign direction (that is the human at G4). Pairs with ui-audit and design-review-loop.","Prekzursil\u002Fagent-skills-toolchain","Prekzursil","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F54636077?v=4","01M6DACZ1PCQHD99SCR1YXG28B","Andrei Mihai Visalon","01M6DACZ670WZF535V3WYYSS4Z",0,"MIT","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fplatform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fcritique-panel\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48],"critique panel","critique","eval","critical","app","human","synthesize","dimensions","do","aesthetic","use","design","brand","pick","loop","persona","severity","audit","oracle","review","2026-11-10 10:12:30",false,"---\nname: critique-panel\ndescription: Use to run the G3 CRITIQUE gate of the TCR design-review loop — a four named-persona design-critique panel (user-advocate \u002F systems-consistency \u002F a11y \u002F brand-aesthetic) that each REASON over ui-audit's pre-computed Track-A numbers plus the screenshot, run the NN\u002Fg \"I Like \u002F I Wish \u002F What If\" ritual, score the nine DESIGN-EVAL v1 dimensions 0-4 with critical-error overrides, then synthesize into one deduped, severity-ranked findings list with a weighted composite and enumerated directions (the human decides at G4). The panel is a TRIAGE accelerator, not an oracle. Do NOT use to drive the app or measure pixels (that is ui-audit Track-A) or to pick the winning redesign direction (that is the human at G4). Pairs with ui-audit and design-review-loop.\nmetadata:\n  origin: user\n---\n\n\u003C!-- origin: user (design-SOTA research, 2026-06-30); implements DESIGN-WORKFLOW.md G3 (NN\u002Fg Design Critique ritual + I Like\u002FI Wish\u002FWhat If + named multi-agent panel as TRIAGE), DESIGN-SKILLS-AND-EVAL.md §1.1 (one-persona-per-call reliability protocol), §1.2 (the four personas + quota), §2.1-§2.4 (0-4 scale, 9 dimensions\u002Fweights\u002Fcritical triggers, weighted composite + cap), §3 (defer DIRECTION to the human; enumerate don't pick). -->\n\n\n# critique-panel Skill\n\nThe **G3 CRITIQUE** gate of the TCR design-review loop — the *discuss edge*. Four named\nheuristic personas each reason over the **same** pre-computed Track-A numbers\n(`ui-audit` `audit.json`) + the screenshot, run the NN\u002Fg design-critique ritual, score\nthe nine **DESIGN-EVAL v1** dimensions 0–4, and emit a typed verdict. `synthesize` then\ndedupes + ranks them into one findings list with a weighted composite.\n\n**Skill location:** `~\u002F.claude\u002Fskills\u002Fcritique-panel\u002F`\n\n> The harness (`critique_panel.mjs`) is **pure plumbing** — it never calls a model and\n> never measures pixels. It routes evidence onto each persona's owned dimensions, builds\n> the per-persona brief, validates typed verdicts (incl. the quota gate), and aggregates.\n\n---\n\n## When to use\n\n- The **G3 CRITIQUE** gate after `ui-audit` (G1) has produced `audit.json` + screenshots.\n- You want a **multi-perspective**, severity-rated, typed critique (not \"looks good to me\").\n- You want the panel to **enumerate + rank** defects and propose directions for the human.\n\n**When NOT to use:**\n\n### The honesty note (cite it)\n### The four named personas\n### Driving the panel (the harness)\n### 1) ASSEMBLE — read audit.json + screenshot(s) + rubric, route numbers onto each\n### persona's owned dimensions, write FOUR persona briefs (.json + .md) to fill.\n### -> SUCCESS:critique-panel-user-advocate-\u003Cid> \u002F FAILED:...\n### 4) SYNTHESIZE — merge verdicts -> ranked findings + weighted composite + protected wins\n### -> SUCCESS:critique-panel-\u003Cid>\n### Dump the persona + synthesis JSON Schemas (keep them in sync)\n### Scoring (from `panel_rubric.md`)\n### Where this sits — the loop neighbors\n### Terminal-state outputs\n","\u003C!-- origin: user (design-SOTA research, 2026-06-30); implements DESIGN-WORKFLOW.md G3 (NN\u002Fg Design Critique ritual + I Like\u002FI Wish\u002FWhat If + named multi-agent panel as TRIAGE), DESIGN-SKILLS-AND-EVAL.md §1.1 (one-persona-per-call reliability protocol), §1.2 (the four personas + quota), §2.1-§2.4 (0-4 scale, 9 dimensions\u002Fweights\u002Fcritical triggers, weighted composite + cap), §3 (defer DIRECTION to the human; enumerate don't pick). -->\n\n\n# critique-panel Skill\n\nThe **G3 CRITIQUE** gate of the TCR design-review loop — the *discuss edge*. Four named\nheuristic personas each reason over the **same** pre-computed Track-A numbers\n(`ui-audit` `audit.json`) + the screenshot, run the NN\u002Fg design-critique ritual, score\nthe nine **DESIGN-EVAL v1** dimensions 0–4, and emit a typed verdict. `synthesize` then\ndedupes + ranks them into one findings list with a weighted composite.\n\n**Skill location:** `~\u002F.claude\u002Fskills\u002Fcritique-panel\u002F`\n\n> The harness (`critique_panel.mjs`) is **pure plumbing** — it never calls a model and\n> never measures pixels. It routes evidence onto each persona's owned dimensions, builds\n> the per-persona brief, validates typed verdicts (incl. the quota gate), and aggregates.\n\n---\n\n## When to use\n\n- The **G3 CRITIQUE** gate after `ui-audit` (G1) has produced `audit.json` + screenshots.\n- You want a **multi-perspective**, severity-rated, typed critique (not \"looks good to me\").\n- You want the panel to **enumerate + rank** defects and propose directions for the human.\n\n**When NOT to use:**\n\n### The honesty note (cite it)\n### The four named personas\n### Driving the panel (the harness)\n### 1) ASSEMBLE — read audit.json + screenshot(s) + rubric, route numbers onto each\n### persona's owned dimensions, write FOUR persona briefs (.json + .md) to fill.\n### -> SUCCESS:critique-panel-user-advocate-\u003Cid> \u002F FAILED:...\n### 4) SYNTHESIZE — merge verdicts -> ranked findings + weighted composite + protected wins\n### -> SUCCESS:critique-panel-\u003Cid>\n### Dump the persona + synthesis JSON Schemas (keep them in sync)\n### Scoring (from `panel_rubric.md`)\n### Where this sits — the loop neighbors\n### Terminal-state outputs\n",{"name":5,"metadata":54,"description":7},{"origin":55},"user","main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fcritique-panel","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":63,"prompt":73,"zipAvailable":74},[64,67,70],{"tool":65,"command":66},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill critique-panel",{"tool":68,"command":69},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill critique-panel",{"tool":71,"command":72},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill critique-panel","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fplatform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fcritique-panel\u002FSKILL.md",true,[],[77,98,125,151,165,180],{"skillNo":78,"name":79,"nameZh":6,"description":80,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":81,"categories":82,"keywords":83,"publishedAt":49},"01M6DF7D7478R55P46REYH4QAC","clarify-requirements","Resolve genuine pre-execution ambiguity by scanning repo context, generating 1-6 grounded options, and asking 1-3 focused questions via AskUserQuestion. NOT for mid-task use (injection risk); NOT when the goal is already unambiguous; use to disambiguate vague prompts before any file edits.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fworkspace-hooks\u002Fskills\u002Fclarify-requirements\u002FSKILL.md",[],[84,85,86,87,88,89,90,91,92,39,93,94,95,96,97],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","context","repo","injection","execution","file",{"skillNo":99,"name":100,"nameZh":6,"description":101,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":102,"categories":103,"keywords":107,"publishedAt":49},"01M6DF79CA4BHJS66J8EZDBPWJ","openmm-md","Run FREE, open-source, Windows-native GPU molecular dynamics via the openmm-md MCP (OpenMM + CUDA on the local NVIDIA GPU). Use for protein \u002F protein-ligand MD when you want a free stack or are on Windows without a Schrodinger license. Covers the full workflow (prepare, solvate, minimize, equilibrate, production, analyze, mmgbsa) AND an honest decision guide vs Schrodinger Desmond, including how to run Desmond legitimately on Linux or a cloud GPU with a real license. This is a deliberately LESSER free alternative and does NOT replace the schrodinger MCP tools. Do NOT use it to pick a free tool when a validated FEP+, WaterMap, IFD-MD, or Prime MM-GBSA result is actually required.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fmcp\u002Fopenmm-md-mcp\u002Fskill\u002Fopenmm-md\u002FSKILL.md",[104],{"categoryNo":105,"categoryName":106,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[108,109,110,42,111,112,113,114,115,116,117,118,119,120,39,121,122,123,37,124],"openmm md","how","decision","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","MCP",{"skillNo":126,"name":127,"nameZh":6,"description":128,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":129,"categories":130,"keywords":137,"publishedAt":49},"01M6DF76C1MG85VEWP8VZCBNMN","visual-review","Take screenshots of web pages and UI using Playwright for visual review and iteration","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fvisual-review\u002FSKILL.md",[131,134],{"categoryNo":132,"categoryName":133,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":135,"categoryName":136,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[48,138,139,140,141,142,143,144,145,146,109,147,148,149,150],"visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":152,"name":153,"nameZh":6,"description":154,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":155,"categories":156,"keywords":157,"publishedAt":49},"01M6DF73AQVCBZKEN0YXEX9FXP","status","Diagnostic status report — shows metaswarm installation state, project setup, and potential issues","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstatus\u002FSKILL.md",[],[153,158,159,160,161,162,163,164],"setup","report","project","installation","project setup","issues","state",{"skillNo":166,"name":167,"nameZh":6,"description":168,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":169,"categories":170,"keywords":172,"publishedAt":49},"01M6DF6X6C2XB0P6GX76P7TTYV","start","Use when starting work on any task, when the user mentions metaswarm, or when the user wants to begin tracked development work","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstart\u002FSKILL.md",[171],{"categoryNo":105,"categoryName":106,"taxonomyType":21,"taxonomyTypeDesc":22},[167,173,89,174,175,176,39,55,177,178,179],"start issue","issue","ready","work on issue","work","work on","development",{"skillNo":181,"name":158,"nameZh":6,"description":182,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":183,"categories":184,"keywords":185,"publishedAt":49},"01M6DF6QMJ9AJKFKHHKRT005PQ","Interactive project setup — detects your project, configures metaswarm, writes project-local files","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fsetup\u002FSKILL.md",[],[158,160,123,186,162,187],"files","interactive"]