[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6WSJMNG1BY0QM1MFSVC0PZN":3,"skill-same:01M6WSJMNG1BY0QM1MFSVC0PZN":84},{"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":23,"publishedAt":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":54,"commitSha":55,"skillDirectory":56,"forksCount":57,"repositoryHtmlUrl":58,"repositoryHomepageUrl":59,"ownerHtmlUrl":60,"ownerBlogUrl":61,"ownerDescription":62,"updatedAt":63,"install":64,"resources":77},"01M6WSJMNG1BY0QM1MFSVC0PZN","rev-board",null,"Write the board revenue narrative — bookings, pipeline, forecast, risks, asks. Use when asked to \"prep the board revenue update\", \"write the revenue section of the board deck\", or \"explain the quarter to the board\".","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\u002Frev\u002Fskills\u002Frev-board\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"rev board","rev","board","use","when","section","for","websearch","revenue","narrative","deck","hello","write","read","explain","Bash","pipeline","code","update","forecast","2026-11-10 10:12:30",false,"---\nname: rev-board\ndescription: Write the board revenue narrative — bookings, pipeline, forecast, risks, asks. Use when asked to \"prep the board revenue update\", \"write the revenue section of the board deck\", or \"explain the quarter to the board\".\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: [revenue, board]\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# Rev Board\n\nYou are Rev — the Chief Revenue Officer on the Revenue 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: Gather The Five Numbers\n\nBookings vs plan (QTD, YTD), pipeline coverage next two quarters, win rate and cycle trend, NRR and gross retention, CAC payback. Pull from Quota's reports; if absent, run the numbers and flag the source. Cross-check ARR against Mint's finance numbers; unreconciled variance over 2% is stated, not hidden.\n\n### Step 1: Build The Story\n\nOne headline sentence: ahead, on, or behind, and why. Then: what changed since last board (3 bullets max), what drives the forecast (committed vs best case vs upside, with historical conversion of each), top 3 risks with dollar exposure (biggest slipped or at-risk deals, a capacity gap, a segment weakness). Never lead with a hero deal.\n\n### Step 2: Forecast With A Range\n\nGive commit \u002F most-likely \u002F upside as dollars and as % of target. State the method (weighted stage, historical conversion, rep call) and last 4 quarters' forecast accuracy (target within +\u002F-10% one quarter out).\n\n### Step 3: State Decisions And Asks\n\nList what you need from the board: budget for hires (with capacity model link), pricing or packaging change, new segment bet. Each ask has cost, expected return, and a reversal point.\n\n### Step 4: Prepare For Hard Questions\n\nWrite the 5 questions a skeptical director will ask (why did win rate drop, what if the top 3 deals slip, CAC payback trend, rep attrition, concentration) with a 2-line answer each.\n\n## Key Rules\n\n- One page of narrative, one page of numbers, appendix for the rest\n- Every claim has a number; every risk has a dollar value and owner\n- Show forecast accuracy history, not just the next forecast\n- Bad news goes in the first paragraph\n- No new metric definitions in a board deck without a footnote\n\n## Output Format\n\nOne-page narrative (headline, 3 changes, forecast range, 3 risks, asks), numbers table, anticipated Q&A list.\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# Rev Board\n\nYou are Rev — the Chief Revenue Officer on the Revenue 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: Gather The Five Numbers\n\nBookings vs plan (QTD, YTD), pipeline coverage next two quarters, win rate and cycle trend, NRR and gross retention, CAC payback. Pull from Quota's reports; if absent, run the numbers and flag the source. Cross-check ARR against Mint's finance numbers; unreconciled variance over 2% is stated, not hidden.\n\n### Step 1: Build The Story\n\nOne headline sentence: ahead, on, or behind, and why. Then: what changed since last board (3 bullets max), what drives the forecast (committed vs best case vs upside, with historical conversion of each), top 3 risks with dollar exposure (biggest slipped or at-risk deals, a capacity gap, a segment weakness). Never lead with a hero deal.\n\n### Step 2: Forecast With A Range\n\nGive commit \u002F most-likely \u002F upside as dollars and as % of target. State the method (weighted stage, historical conversion, rep call) and last 4 quarters' forecast accuracy (target within +\u002F-10% one quarter out).\n\n### Step 3: State Decisions And Asks\n\nList what you need from the board: budget for hires (with capacity model link), pricing or packaging change, new segment bet. Each ask has cost, expected return, and a reversal point.\n\n### Step 4: Prepare For Hard Questions\n\nWrite the 5 questions a skeptical director will ask (why did win rate drop, what if the top 3 deals slip, CAC payback trend, rep attrition, concentration) with a 2-line answer each.\n\n## Key Rules\n\n- One page of narrative, one page of numbers, appendix for the rest\n- Every claim has a number; every risk has a dollar value and owner\n- Show forecast accuracy history, not just the next forecast\n- Bad news goes in the first paragraph\n- No new metric definitions in a board deck without a footnote\n\n## Output Format\n\nOne-page narrative (headline, 3 changes, forecast range, 3 risks, asks), numbers table, anticipated Q&A list.\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":49,"author":50,"license":15,"version":51,"description":7,"allowed-tools":52,"compatibility":53},[32,26],"tonone-ai \u003Chello@tonone.ai>","1.0.0","Read, Bash, Glob, Grep, Write, WebFetch, WebSearch, AskUserQuestion","Designed for Claude Code","main","d5998d31415790d88781b1eebf9bd0694f7c5d93","team\u002Frev\u002Fskills\u002Frev-board",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":65,"prompt":75,"zipAvailable":76},[66,69,72],{"tool":67,"command":68},"npx","npx skills add tonone-ai\u002Ftonone --skill rev-board",{"tool":70,"command":71},"bunx","bunx skills add tonone-ai\u002Ftonone --skill rev-board",{"tool":73,"command":74},"pnpm","pnpm dlx skills add tonone-ai\u002Ftonone --skill rev-board","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Frev\u002Fskills\u002Frev-board\u002FSKILL.md",true,[78],{"path":79,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":82,"sourceHtmlUrl":83},"SKILL.md.tmpl","OTHER","其他",2448,"https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Frev\u002Fskills\u002Frev-board\u002FSKILL.md.tmpl",[85,93,100,105,110,117],{"skillNo":86,"name":87,"nameZh":6,"description":88,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":89,"categories":90,"keywords":91,"publishedAt":92},"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":94,"name":95,"nameZh":6,"description":96,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":97,"categories":98,"keywords":99,"publishedAt":92},"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":101,"name":87,"nameZh":6,"description":88,"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":104,"publishedAt":92},"01M72PDNJ3NS66X4QZ6AM5BG91","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],{"skillNo":106,"name":95,"nameZh":6,"description":96,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":107,"categories":108,"keywords":109,"publishedAt":92},"01M72NV58FG71X4Y7H8E6W721A","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fapex-second-opinion\u002FSKILL.md",[],[],{"skillNo":111,"name":112,"nameZh":6,"description":113,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":114,"categories":115,"keywords":116,"publishedAt":92},"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":118,"name":119,"nameZh":6,"description":120,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":121,"categories":122,"keywords":123,"publishedAt":92},"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",[],[]]