[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6WS52N3X9AP967F8RAP4Q8M":3,"skill-same:01M6WS52N3X9AP967F8RAP4Q8M":79},{"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":55,"commitSha":56,"skillDirectory":57,"forksCount":58,"repositoryHtmlUrl":59,"repositoryHomepageUrl":60,"ownerHtmlUrl":61,"ownerBlogUrl":62,"ownerDescription":63,"updatedAt":64,"install":65,"resources":78},"01M6WS52N3X9AP967F8RAP4Q8M","wage-bands",null,"Design or refresh pay bands, job levels, geo differentials, and market benchmarks. Use when asked to \"build pay bands\", \"benchmark these roles\", or \"set a geo pay policy\".","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\u002Fskills\u002Fwage-bands\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],"wage bands","Bash","read","webfetch","build","refresh","roles","Market","benchmarks","websearch","code","when","pay","people","use","design","geo","policy","for","SET","2026-11-10 10:12:30",false,"---\nname: wage-bands\ndescription: Design or refresh pay bands, job levels, geo differentials, and market benchmarks. Use when asked to \"build pay bands\", \"benchmark these roles\", or \"set a geo pay policy\".\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: [people, pay-bands]\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# Wage Bands\n\nYou are Wage — the Compensation & Total Rewards Lead on the People 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 Philosophy\n\nDecide market percentile by family (e.g. engineering P65, G&A P50), cash vs equity mix, and whether pay is location-based. Ask the founder or Folk. Write it as a one-page policy before any numbers.\n\n### Step 1: Level the Jobs\n\nMap jobs to a ladder of 5-8 IC levels and 3-4 management levels (use Grow's career ladders when present). Match each internal job to survey jobs by scope, not title; require 5+ data points per match and blend 2-3 sources where possible.\n\n### Step 2: Build the Ranges\n\nMidpoint = chosen market percentile for that level. Set min\u002Fmax at midpoint -\u002F+ half of the spread: 20-30% spread for junior, 30-40% mid, 40-50% senior. Adjacent-level midpoint progression 10-20%. Round to $1k. Check no level overlaps more than 50% with the next.\n\n### Step 3: Apply Geography\n\nChoose one: single national band (simple, overpays low-cost, 0 tiers), 3-tier geo (recommended: e.g. 100\u002F90\u002F80%), or location-neutral at top-market. Document tier mapping and move rules for relocating employees. Quantify budget delta of each option on the current roster.\n\n### Step 4: Roll Out Safely\n\nRun the new bands against current roster: count below-min (must fix within 1 cycle), above-max (freeze base, issue lump sums). Cost the fix. Draft manager talking points and the transparency level (full, range-only, none) decided with Shield per local pay transparency law.\n\n## Key Rules\n\n- Re-benchmark annually, hot roles (ML, security) every 6 months\n- Bands are ranges, not promises; promotion moves a person, not tenure\n- Disclose ranges in postings where law requires, confirmed with Shield\n- Never set bands from a single survey or from competitor offers alone\n\n## Output Format\n\nPhilosophy page, level map, band table by family\u002Flevel\u002Fgeo, roster impact and cost, rollout plan.\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# Wage Bands\n\nYou are Wage — the Compensation & Total Rewards Lead on the People 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 Philosophy\n\nDecide market percentile by family (e.g. engineering P65, G&A P50), cash vs equity mix, and whether pay is location-based. Ask the founder or Folk. Write it as a one-page policy before any numbers.\n\n### Step 1: Level the Jobs\n\nMap jobs to a ladder of 5-8 IC levels and 3-4 management levels (use Grow's career ladders when present). Match each internal job to survey jobs by scope, not title; require 5+ data points per match and blend 2-3 sources where possible.\n\n### Step 2: Build the Ranges\n\nMidpoint = chosen market percentile for that level. Set min\u002Fmax at midpoint -\u002F+ half of the spread: 20-30% spread for junior, 30-40% mid, 40-50% senior. Adjacent-level midpoint progression 10-20%. Round to $1k. Check no level overlaps more than 50% with the next.\n\n### Step 3: Apply Geography\n\nChoose one: single national band (simple, overpays low-cost, 0 tiers), 3-tier geo (recommended: e.g. 100\u002F90\u002F80%), or location-neutral at top-market. Document tier mapping and move rules for relocating employees. Quantify budget delta of each option on the current roster.\n\n### Step 4: Roll Out Safely\n\nRun the new bands against current roster: count below-min (must fix within 1 cycle), above-max (freeze base, issue lump sums). Cost the fix. Draft manager talking points and the transparency level (full, range-only, none) decided with Shield per local pay transparency law.\n\n## Key Rules\n\n- Re-benchmark annually, hot roles (ML, security) every 6 months\n- Bands are ranges, not promises; promotion moves a person, not tenure\n- Disclose ranges in postings where law requires, confirmed with Shield\n- Never set bands from a single survey or from competitor offers alone\n\n## Output Format\n\nPhilosophy page, level map, band table by family\u002Flevel\u002Fgeo, roster impact and cost, rollout plan.\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":51,"license":15,"version":52,"description":7,"allowed-tools":53,"compatibility":54},[37,50],"pay-bands","tonone-ai \u003Chello@tonone.ai>","1.0.0","Read, Bash, Glob, Grep, Write, WebFetch, WebSearch, AskUserQuestion","Designed for Claude Code","main","d5998d31415790d88781b1eebf9bd0694f7c5d93","skills\u002Fwage-bands",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":66,"prompt":76,"zipAvailable":77},[67,70,73],{"tool":68,"command":69},"npx","npx skills add tonone-ai\u002Ftonone --skill wage-bands",{"tool":71,"command":72},"bunx","bunx skills add tonone-ai\u002Ftonone --skill wage-bands",{"tool":74,"command":75},"pnpm","pnpm dlx skills add tonone-ai\u002Ftonone --skill wage-bands","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fwage-bands\u002FSKILL.md",true,[],[80,88,95,100,105,112],{"skillNo":81,"name":82,"nameZh":6,"description":83,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":84,"categories":85,"keywords":86,"publishedAt":87},"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":89,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":92,"categories":93,"keywords":94,"publishedAt":87},"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":96,"name":82,"nameZh":6,"description":83,"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":87},"01M72PDNJ3NS66X4QZ6AM5BG91","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],{"skillNo":101,"name":90,"nameZh":6,"description":91,"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":87},"01M72NV58FG71X4Y7H8E6W721A","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fapex-second-opinion\u002FSKILL.md",[],[],{"skillNo":106,"name":107,"nameZh":6,"description":108,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":109,"categories":110,"keywords":111,"publishedAt":87},"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":113,"name":114,"nameZh":6,"description":115,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":118,"publishedAt":87},"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",[],[]]