[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6WSJVG9X7CTT511MCTJWRKB":3,"skill-same:01M6WSJVG9X7CTT511MCTJWRKB":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},"01M6WSJVG9X7CTT511MCTJWRKB","rev-capacity",null,"Build the bookings capacity model — ramped reps, quota, attainment, hiring plan. Use when asked to \"build a capacity plan\", \"how many reps do we need\", or \"set quotas for next year\".","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-capacity\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],"capacity","rev capacity","rev","quota","hello","when","for","websearch","code","revenue","next","do","SET","use","write","read","model","plan","Bash","how","2026-11-10 10:12:30",false,"---\nname: rev-capacity\ndescription: Build the bookings capacity model — ramped reps, quota, attainment, hiring plan. Use when asked to \"build a capacity plan\", \"how many reps do we need\", or \"set quotas for next year\".\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, capacity]\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 Capacity\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: Set The Target\n\nGet the annual new-ARR bookings target (and expansion target separately if Keep owns it). Confirm the split by segment and by quarter; default seasonality 20\u002F22\u002F25\u002F33 for B2B if none is given.\n\n### Step 1: Model Rep Productivity\n\nFor each segment: quota per ramped rep = target-driven, sanity-checked against OTE x 4-5 (quota-to-OTE ratio; SMB 4-5x, mid-market 5x, enterprise 5-6x). Expected attainment: use actual trailing 4-quarter median, default 60-70% if unknown. Productivity per ramped rep = quota x attainment. Ramp curve: SMB 0\u002F25\u002F50\u002F75\u002F100% across months 1-4; enterprise 0\u002F0\u002F25\u002F50\u002F75\u002F100% across months 1-6, adjusted for average cycle length.\n\n### Step 2: Compute Capacity vs Target\n\nMonth by month: ramped-equivalent reps (headcount x ramp factor) x monthly productivity, minus attrition (default 15-20% annual regrettable loss, replacement ramps from zero). Sum = attainable bookings. Gap = target minus attainable. Required hires = gap \u002F (productivity x remaining ramped months), hired no later than (cycle + ramp) months before the quarter they must contribute.\n\n### Step 3: Close The Gap Explicitly\n\nPresent three options: add hires (with latest start date), lower target or push segment mix, raise productivity (enablement, territory rebalance, partner channel via Bridge). Each with cost (fully-loaded rep cost ~1.25x OTE plus tools) and expected bookings. Recommend one.\n\n### Step 4: Support Functions\n\nDerive SDR, SE, RevOps, enablement headcount from AE count using ratios: 1 SDR per 1-2 AEs, 1 SE per 3-4 enterprise AEs (6-8 mid-market), 1 RevOps per 10-15 quota carriers, 1 enablement per 30-50 reps.\n\n## Key Rules\n\n- Capacity must cover target at 1.15-1.25x quota or the plan is flagged\n- Ramp is a curve, never a step: a rep hired in Q3 contributes close to zero in Q3\n- Attrition is modeled, not assumed away\n- Show the model as a table, with assumptions listed, so Quota and Mint can audit it\n- Hiring dates account for recruit time (60-90 days) plus ramp\n\n## Output Format\n\nAssumptions table, month-by-quarter capacity table, gap, three options with cost, recommended hiring plan with latest start dates.\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 Capacity\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: Set The Target\n\nGet the annual new-ARR bookings target (and expansion target separately if Keep owns it). Confirm the split by segment and by quarter; default seasonality 20\u002F22\u002F25\u002F33 for B2B if none is given.\n\n### Step 1: Model Rep Productivity\n\nFor each segment: quota per ramped rep = target-driven, sanity-checked against OTE x 4-5 (quota-to-OTE ratio; SMB 4-5x, mid-market 5x, enterprise 5-6x). Expected attainment: use actual trailing 4-quarter median, default 60-70% if unknown. Productivity per ramped rep = quota x attainment. Ramp curve: SMB 0\u002F25\u002F50\u002F75\u002F100% across months 1-4; enterprise 0\u002F0\u002F25\u002F50\u002F75\u002F100% across months 1-6, adjusted for average cycle length.\n\n### Step 2: Compute Capacity vs Target\n\nMonth by month: ramped-equivalent reps (headcount x ramp factor) x monthly productivity, minus attrition (default 15-20% annual regrettable loss, replacement ramps from zero). Sum = attainable bookings. Gap = target minus attainable. Required hires = gap \u002F (productivity x remaining ramped months), hired no later than (cycle + ramp) months before the quarter they must contribute.\n\n### Step 3: Close The Gap Explicitly\n\nPresent three options: add hires (with latest start date), lower target or push segment mix, raise productivity (enablement, territory rebalance, partner channel via Bridge). Each with cost (fully-loaded rep cost ~1.25x OTE plus tools) and expected bookings. Recommend one.\n\n### Step 4: Support Functions\n\nDerive SDR, SE, RevOps, enablement headcount from AE count using ratios: 1 SDR per 1-2 AEs, 1 SE per 3-4 enterprise AEs (6-8 mid-market), 1 RevOps per 10-15 quota carriers, 1 enablement per 30-50 reps.\n\n## Key Rules\n\n- Capacity must cover target at 1.15-1.25x quota or the plan is flagged\n- Ramp is a curve, never a step: a rep hired in Q3 contributes close to zero in Q3\n- Attrition is modeled, not assumed away\n- Show the model as a table, with assumptions listed, so Quota and Mint can audit it\n- Hiring dates account for recruit time (60-90 days) plus ramp\n\n## Output Format\n\nAssumptions table, month-by-quarter capacity table, gap, three options with cost, recommended hiring plan with latest start dates.\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},[33,24],"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-capacity",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-capacity",{"tool":70,"command":71},"bunx","bunx skills add tonone-ai\u002Ftonone --skill rev-capacity",{"tool":73,"command":74},"pnpm","pnpm dlx skills add tonone-ai\u002Ftonone --skill rev-capacity","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Frev\u002Fskills\u002Frev-capacity\u002FSKILL.md",true,[78],{"path":79,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":82,"sourceHtmlUrl":83},"SKILL.md.tmpl","OTHER","其他",2736,"https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Frev\u002Fskills\u002Frev-capacity\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",[],[]]