[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6WRZPKR9F662F2DKFEHY2BT":3,"skill-same:01M6WRZPKR9F662F2DKFEHY2BT":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":34,"publishedAt":55,"linkOnly":56,"markdownContent":57,"markdownBody":58,"frontMatter":59,"refName":66,"commitSha":67,"skillDirectory":68,"forksCount":69,"repositoryHtmlUrl":70,"repositoryHomepageUrl":71,"ownerHtmlUrl":72,"ownerBlogUrl":73,"ownerDescription":74,"updatedAt":75,"install":76,"resources":89},"01M6WRZPKR9F662F2DKFEHY2BT","stack-clean",null,"Plan CRM data hygiene and UTM governance — deduplication, naming taxonomy, validation rules and decay policy. Use when asked to \"clean up our CRM data\", \"fix our UTM tracking\", \"set up campaign naming conventions\".","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\u002Fstack-clean\u002FSKILL.md",[18,23,28,31],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000019","营销推广","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",{"categoryNo":29,"categoryName":30,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000033","数据分析师",{"categoryNo":32,"categoryName":33,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000035","市场营销",[35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54],"stack clean","stack","clean","up","data-hygiene","when","decay","websearch","utm","crm","campaign","hello","fix","write","read","plan","Bash","SET","deduplication","code","2026-11-10 10:12:30",false,"---\nname: stack-clean\ndescription: Plan CRM data hygiene and UTM governance — deduplication, naming taxonomy, validation rules and decay policy. Use when asked to \"clean up our CRM data\", \"fix our UTM tracking\", \"set up campaign naming conventions\".\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: [marketing, data-hygiene]\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# Stack Clean\n\nYou are Stack — the Marketing Operations Lead on the Marketing 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 1: Profile the data\n\nExport contacts, accounts, and campaigns. Measure duplicates by email and by fuzzy company+domain match, missing required fields, invalid or role-based emails, stale records, campaign-name variants, UTM values outside taxonomy. Quantify each as a percentage with the cost: wasted sends, misrouted leads, unreliable reports.\n\n### Step 2: Define the taxonomy\n\nUTM: source and medium from a closed list (e.g. google\u002Fcpc, linkedin\u002Fpaid-social, newsletter\u002Femail, partner\u002Freferral), campaign = `yyyymm_channel_audience_offer`, content for creative id, term for keyword. Enforce through a URL builder sheet or form with dropdowns, not free text. Apply the same IDs to CRM campaigns.\n\n### Step 3: Plan deduplication\n\nMerge rules: email exact match first, then domain+name fuzzy match above 0.9. Survivor record = most recent activity; keep earliest created date and original source. Back up before merge and run in batches of 500-1,000. Account merges after contacts, with parent\u002Fchild hierarchy preserved.\n\n### Step 4: Add guards at the door\n\nForm validation (business email, required fields only), enrichment waterfall for missing firmographics, picklists instead of free text for country, industry, and job level, normalization workflows for title and country. Block imports that skip a dedupe check.\n\n### Step 5: Set the maintenance cadence\n\nWeekly: sync-error review and UTM audit. Monthly: duplicate sweep and bounce suppression. Quarterly: decay purge (no engagement 24 months, archive rather than delete) and schema review. Publish a one-page data dictionary with owner per field.\n\n## Key Rules\n\n- Back up before any merge or delete\n- Archive, do not delete, decayed records\n- Closed picklists instead of free text\n- Naming convention enforced by tool, not by memory\n- One data dictionary, one owner per field\n\n## Output Format\n\nData profile table, taxonomy spec, merge plan with batches and backup, maintenance 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# Stack Clean\n\nYou are Stack — the Marketing Operations Lead on the Marketing 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 1: Profile the data\n\nExport contacts, accounts, and campaigns. Measure duplicates by email and by fuzzy company+domain match, missing required fields, invalid or role-based emails, stale records, campaign-name variants, UTM values outside taxonomy. Quantify each as a percentage with the cost: wasted sends, misrouted leads, unreliable reports.\n\n### Step 2: Define the taxonomy\n\nUTM: source and medium from a closed list (e.g. google\u002Fcpc, linkedin\u002Fpaid-social, newsletter\u002Femail, partner\u002Freferral), campaign = `yyyymm_channel_audience_offer`, content for creative id, term for keyword. Enforce through a URL builder sheet or form with dropdowns, not free text. Apply the same IDs to CRM campaigns.\n\n### Step 3: Plan deduplication\n\nMerge rules: email exact match first, then domain+name fuzzy match above 0.9. Survivor record = most recent activity; keep earliest created date and original source. Back up before merge and run in batches of 500-1,000. Account merges after contacts, with parent\u002Fchild hierarchy preserved.\n\n### Step 4: Add guards at the door\n\nForm validation (business email, required fields only), enrichment waterfall for missing firmographics, picklists instead of free text for country, industry, and job level, normalization workflows for title and country. Block imports that skip a dedupe check.\n\n### Step 5: Set the maintenance cadence\n\nWeekly: sync-error review and UTM audit. Monthly: duplicate sweep and bounce suppression. Quarterly: decay purge (no engagement 24 months, archive rather than delete) and schema review. Publish a one-page data dictionary with owner per field.\n\n## Key Rules\n\n- Back up before any merge or delete\n- Archive, do not delete, decayed records\n- Closed picklists instead of free text\n- Naming convention enforced by tool, not by memory\n- One data dictionary, one owner per field\n\n## Output Format\n\nData profile table, taxonomy spec, merge plan with batches and backup, maintenance 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":60,"author":62,"license":15,"version":63,"description":7,"allowed-tools":64,"compatibility":65},[61,39],"marketing","tonone-ai \u003Chello@tonone.ai>","1.0.0","Read, Bash, Glob, Grep, Write, WebFetch, WebSearch, AskUserQuestion","Designed for Claude Code","main","d5998d31415790d88781b1eebf9bd0694f7c5d93","skills\u002Fstack-clean",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":77,"prompt":87,"zipAvailable":88},[78,81,84],{"tool":79,"command":80},"npx","npx skills add tonone-ai\u002Ftonone --skill stack-clean",{"tool":82,"command":83},"bunx","bunx skills add tonone-ai\u002Ftonone --skill stack-clean",{"tool":85,"command":86},"pnpm","pnpm dlx skills add tonone-ai\u002Ftonone --skill stack-clean","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fstack-clean\u002FSKILL.md",true,[],[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",[],[]]