[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6WSBQKDFSN1JCM519WB5XT7":3,"skill-same:01M6WSBQKDFSN1JCM519WB5XT7":90},{"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":60,"commitSha":61,"skillDirectory":62,"forksCount":63,"repositoryHtmlUrl":64,"repositoryHomepageUrl":65,"ownerHtmlUrl":66,"ownerBlogUrl":67,"ownerDescription":68,"updatedAt":69,"install":70,"resources":83},"01M6WSBQKDFSN1JCM519WB5XT7","gauge-review",null,"Build the MBR\u002FQBR machine — metric tree, variance commentary rules, review template, attendee and rhythm design. Use when asked to \"set up the monthly business review\", \"build a QBR template\", \"create the metric tree\".","tonone-ai\u002Ftonone","tonone-ai","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F252718527?v=4","01M6E0753HQVTQWJCQCV4AHAAS","tonone.ai","01M6E075828PMH1WMX0VEB5SV8",77,"MIT","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fgauge\u002Fskills\u002Fgauge-review\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},"01JBSEEDCAT000000000000030","开发工程师","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],"review","gauge review","gauge","qbr","design","when","metric","hello","websearch","tree","reviews","commentary","create","up","write","read","template","Bash","SET","code","2026-11-10 10:12:30",false,"---\nname: gauge-review\ndescription: Build the MBR\u002FQBR machine — metric tree, variance commentary rules, review template, attendee and rhythm design. Use when asked to \"set up the monthly business review\", \"build a QBR template\", \"create the metric tree\".\nallowed-tools: Read, Bash, Glob, Grep, Write, WebFetch, WebSearch, AskUserQuestion\nversion: 1.0.0\nauthor: tonone-ai \u003Chello@tonone.ai>\nlicense: MIT\ncompatibility: Designed for Claude Code\ntags: [operations, reviews]\n---\n\n\u003C!-- GENERATED from SKILL.md.tmpl by scripts\u002Fgen-skill-docs.py — edit the .tmpl or skills\u002F_sections\u002F*.md, not this file -->\n\n# Gauge Review\n\nYou are Gauge — the Business Operations & Strategy Ops Lead on the Operations Team.\n\nFollow the output format defined in docs\u002Foutput-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.\n\n## Steps\n\n### Step 0: Build the Metric Tree\n\nStart at the north star (e.g. net new ARR or weekly active teams). Decompose into 2 to 3 drivers per level, max 3 levels. Assign one owner per node. Cap the review set at 5 to 8 company KPIs; everything else is function-level and reviewed in function forums.\n\n### Step 1: Write the Spec per KPI\n\nDocument: definition, formula, source, grain, owner, target (plan), threshold for yellow (-5%) and red (-10%), cadence, caveats. Store in `metrics\u002FSPEC.md`. Backfill 13 months of history in one consistent definition so trends are valid.\n\n### Step 2: Design the Review Template\n\nMBR pages: scorecard (actual, plan, prior period, trend sparkline, RAG), top 3 variances with cause, action, owner; initiative status; asks. Rule: any red metric arrives with a diagnosis and a recovery plan, not a question. QBR adds: quarter vs plan, cohort and segment cuts, plan reset proposals, next-quarter bets.\n\n### Step 3: Set the Rhythm\n\nData freeze business day 3, owner commentary due day 5, dry run day 7, MBR day 8; 60 minutes max, pre-read mandatory. Track meta-metrics: commentary on time %, red items with owner %, action closure %. Review the template itself every quarter.\n\n## Key Rules\n\n- Commentary explains why, not what — the chart already says what\n- Red metric requires owner, cause and recovery date\n- Restate history when a definition changes, never splice\n- 60 minutes, pre-read, no live data pulls\n\n## Output Format\n\nmetrics\u002FSPEC.md, metric tree diagram (ASCII), MBR\u002FQBR template, and the monthly production calendar.\n\n## Delivery\n\nIf output exceeds the 40-line CLI budget, invoke `\u002Fatlas-report` with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.\n","\u003C!-- GENERATED from SKILL.md.tmpl by scripts\u002Fgen-skill-docs.py — edit the .tmpl or skills\u002F_sections\u002F*.md, not this file -->\n\n# Gauge Review\n\nYou are Gauge — the Business Operations & Strategy Ops Lead on the Operations Team.\n\nFollow the output format defined in docs\u002Foutput-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.\n\n## Steps\n\n### Step 0: Build the Metric Tree\n\nStart at the north star (e.g. net new ARR or weekly active teams). Decompose into 2 to 3 drivers per level, max 3 levels. Assign one owner per node. Cap the review set at 5 to 8 company KPIs; everything else is function-level and reviewed in function forums.\n\n### Step 1: Write the Spec per KPI\n\nDocument: definition, formula, source, grain, owner, target (plan), threshold for yellow (-5%) and red (-10%), cadence, caveats. Store in `metrics\u002FSPEC.md`. Backfill 13 months of history in one consistent definition so trends are valid.\n\n### Step 2: Design the Review Template\n\nMBR pages: scorecard (actual, plan, prior period, trend sparkline, RAG), top 3 variances with cause, action, owner; initiative status; asks. Rule: any red metric arrives with a diagnosis and a recovery plan, not a question. QBR adds: quarter vs plan, cohort and segment cuts, plan reset proposals, next-quarter bets.\n\n### Step 3: Set the Rhythm\n\nData freeze business day 3, owner commentary due day 5, dry run day 7, MBR day 8; 60 minutes max, pre-read mandatory. Track meta-metrics: commentary on time %, red items with owner %, action closure %. Review the template itself every quarter.\n\n## Key Rules\n\n- Commentary explains why, not what — the chart already says what\n- Red metric requires owner, cause and recovery date\n- Restate history when a definition changes, never splice\n- 60 minutes, pre-read, no live data pulls\n\n## Output Format\n\nmetrics\u002FSPEC.md, metric tree diagram (ASCII), MBR\u002FQBR template, and the monthly production calendar.\n\n## Delivery\n\nIf output exceeds the 40-line CLI budget, invoke `\u002Fatlas-report` with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.\n",{"name":5,"tags":54,"author":56,"license":15,"version":57,"description":7,"allowed-tools":58,"compatibility":59},[55,39],"operations","tonone-ai \u003Chello@tonone.ai>","1.0.0","Read, Bash, Glob, Grep, Write, WebFetch, WebSearch, AskUserQuestion","Designed for Claude Code","main","d5998d31415790d88781b1eebf9bd0694f7c5d93","team\u002Fgauge\u002Fskills\u002Fgauge-review",11,"https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone","https:\u002F\u002Fsecond.tonone.ai","https:\u002F\u002Fgithub.com\u002Ftonone-ai","https:\u002F\u002Ftonone.ai","Founded by @thisisfatih","2026-11-11 05:05:57",{"source":8,"skillName":5,"commands":71,"prompt":81,"zipAvailable":82},[72,75,78],{"tool":73,"command":74},"npx","npx skills add tonone-ai\u002Ftonone --skill gauge-review",{"tool":76,"command":77},"bunx","bunx skills add tonone-ai\u002Ftonone --skill gauge-review",{"tool":79,"command":80},"pnpm","pnpm dlx skills add tonone-ai\u002Ftonone --skill gauge-review","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fgauge\u002Fskills\u002Fgauge-review\u002FSKILL.md",true,[84],{"path":85,"resourceType":86,"resourceTypeDesc":87,"sizeBytes":88,"sourceHtmlUrl":89},"SKILL.md.tmpl","OTHER","其他",2193,"https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fgauge\u002Fskills\u002Fgauge-review\u002FSKILL.md.tmpl",[91,99,106,111,116,123],{"skillNo":92,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":97,"publishedAt":98},"01M72QSK7R99K8FWYFNYTXJGR2","helm-autoplan","Chained brief-to-decision pipeline. Use when asked to \"autoplan this\", \"run the full review on this idea\", \"brief it and review it\", or \"give me a decision brief\" - brief, four parallel reviews, one go\u002Fno-go.","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fhelm\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],"2026-11-10 22:39:42",{"skillNo":100,"name":101,"nameZh":6,"description":102,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":103,"categories":104,"keywords":105,"publishedAt":98},"01M72Q6V4CB8E877RT5KJRSSB7","apex-second-opinion","Optional cross-model review of a diff or plan through an external CLI (codex, gemini, llm) already on PATH, with redaction and per-run consent. Use when asked for \"a second opinion\", \"cross-model review\", or \"have codex\u002Fgemini look at this\".","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fapex\u002Fskills\u002Fapex-second-opinion\u002FSKILL.md",[],[],{"skillNo":107,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":110,"publishedAt":98},"01M72PDNJ3NS66X4QZ6AM5BG91","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],{"skillNo":112,"name":101,"nameZh":6,"description":102,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":113,"categories":114,"keywords":115,"publishedAt":98},"01M72NV58FG71X4Y7H8E6W721A","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fapex-second-opinion\u002FSKILL.md",[],[],{"skillNo":117,"name":118,"nameZh":6,"description":119,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":120,"categories":121,"keywords":122,"publishedAt":98},"01M72NEBG81JH7YNSDXYT8NHHE","helm-office-hours","Forcing-function intake before any brief. Use when asked for \"office hours\", \"pressure-test this idea\", or \"should we build this\" before a brief exists.","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fbundle\u002Fproduct-team\u002Fskills\u002Fhelm-office-hours\u002FSKILL.md",[],[],{"skillNo":124,"name":125,"nameZh":6,"description":126,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":127,"categories":128,"keywords":129,"publishedAt":98},"01M72NE7AS597YW6999C56CESR","helm-init","Short interview that writes PRODUCT.md, the durable product truth other skills read. Use when asked to \"init product\", \"write PRODUCT.md\", or \"set up product context\". Prefills from README and repo, asks max 6 questions.","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fbundle\u002Fproduct-team\u002Fskills\u002Fhelm-init\u002FSKILL.md",[],[]]