[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6WR428F2FEZP0Z3HHNJQFHZ":3,"skill-same:01M6WR428F2FEZP0Z3HHNJQFHZ":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":45,"linkOnly":46,"markdownContent":47,"markdownBody":48,"frontMatter":49,"refName":55,"commitSha":56,"skillDirectory":57,"forksCount":58,"repositoryHtmlUrl":59,"repositoryHomepageUrl":60,"ownerHtmlUrl":61,"ownerBlogUrl":62,"ownerDescription":63,"updatedAt":64,"install":65,"resources":78},"01M6WR428F2FEZP0Z3HHNJQFHZ","drip-inbox",null,"Diagnose and fix email deliverability — authentication, warm-up, list hygiene, reputation recovery. Use when asked to \"fix our email deliverability\", \"warm up a new sending domain\", \"emails are landing in spam\".","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\u002Fbundle\u002Fmarketing-team\u002Fskills\u002Fdrip-inbox\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44],"drip inbox","inbox","list","new","when","email deliverability","websearch","spam","deliverability","domain","up","fix","hello","write","read","marketing","Bash","email","authentication","code","diagnose","2026-11-10 10:12:30",false,"---\nname: drip-inbox\ndescription: Diagnose and fix email deliverability — authentication, warm-up, list hygiene, reputation recovery. Use when asked to \"fix our email deliverability\", \"warm up a new sending domain\", \"emails are landing in spam\".\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, deliverability]\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# Drip Inbox\n\nYou are Drip — the Lifecycle & Email Marketing 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: Triage the symptom\n\nClassify: bounces (hard 5xx vs. soft 4xx), spam-folder placement, throttling, blocklist, or low engagement. Ask for date it started, which providers (Gmail, Outlook, Yahoo), and any change in volume, list source, content, or sending domain in the prior 14 days.\n\n### Step 2: Verify the foundation\n\nCheck SPF (one record, under 10 DNS lookups), DKIM (2048-bit, aligned with From domain), DMARC (aligned, rua reporting on), reverse DNS, TLS. Confirm marketing mail is on a subdomain separate from transactional. Check Postmaster Tools domain and IP reputation tiers: aim for High; Medium is a warning, Low is an incident.\n\n### Step 3: Find the cause\n\nRank likely causes: complaint spike over 0.1%, bounce spike over 2% (stale or purchased list), sudden volume jump over 2x, engagement collapse, content triggers (URL shorteners, image-only, mismatched links), blocklist listing. Check the offending segment and campaign, not the whole list.\n\n### Step 4: Recover\n\nImmediately: stop sending to segments with no click in 90 days. Send only to the most engaged 10-20% for 1-2 weeks, then expand 25-50% per step if complaints stay under 0.1%. Remove hard bounces on the first occurrence. For blocklists, fix the cause before requesting delisting.\n\n### Step 5: Prevent\n\nSet alerts: complaint over 0.1%, bounce over 2%, Postmaster reputation drop. Run list validation on any new source before the first send. Document the warm-up schedule for new domains: week 1 at 50-200\u002Fday, week 2 at 500-2,000, week 3 at 5,000-10,000, then +50% per day capped by engagement.\n\n## Key Rules\n\n- Fix cause before delisting or resuming volume\n- Engaged-first recovery sends\n- Never buy or scrape lists\n- Alert thresholds are written down\n- Re-verify authentication after any DNS or ESP change\n\n## Output Format\n\nDiagnosis summary, DNS and reputation checklist, recovery schedule, alert thresholds.\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# Drip Inbox\n\nYou are Drip — the Lifecycle & Email Marketing 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: Triage the symptom\n\nClassify: bounces (hard 5xx vs. soft 4xx), spam-folder placement, throttling, blocklist, or low engagement. Ask for date it started, which providers (Gmail, Outlook, Yahoo), and any change in volume, list source, content, or sending domain in the prior 14 days.\n\n### Step 2: Verify the foundation\n\nCheck SPF (one record, under 10 DNS lookups), DKIM (2048-bit, aligned with From domain), DMARC (aligned, rua reporting on), reverse DNS, TLS. Confirm marketing mail is on a subdomain separate from transactional. Check Postmaster Tools domain and IP reputation tiers: aim for High; Medium is a warning, Low is an incident.\n\n### Step 3: Find the cause\n\nRank likely causes: complaint spike over 0.1%, bounce spike over 2% (stale or purchased list), sudden volume jump over 2x, engagement collapse, content triggers (URL shorteners, image-only, mismatched links), blocklist listing. Check the offending segment and campaign, not the whole list.\n\n### Step 4: Recover\n\nImmediately: stop sending to segments with no click in 90 days. Send only to the most engaged 10-20% for 1-2 weeks, then expand 25-50% per step if complaints stay under 0.1%. Remove hard bounces on the first occurrence. For blocklists, fix the cause before requesting delisting.\n\n### Step 5: Prevent\n\nSet alerts: complaint over 0.1%, bounce over 2%, Postmaster reputation drop. Run list validation on any new source before the first send. Document the warm-up schedule for new domains: week 1 at 50-200\u002Fday, week 2 at 500-2,000, week 3 at 5,000-10,000, then +50% per day capped by engagement.\n\n## Key Rules\n\n- Fix cause before delisting or resuming volume\n- Engaged-first recovery sends\n- Never buy or scrape lists\n- Alert thresholds are written down\n- Re-verify authentication after any DNS or ESP change\n\n## Output Format\n\nDiagnosis summary, DNS and reputation checklist, recovery schedule, alert thresholds.\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":50,"author":51,"license":15,"version":52,"description":7,"allowed-tools":53,"compatibility":54},[39,32],"tonone-ai \u003Chello@tonone.ai>","1.0.0","Read, Bash, Glob, Grep, Write, WebFetch, WebSearch, AskUserQuestion","Designed for Claude Code","main","d5998d31415790d88781b1eebf9bd0694f7c5d93","bundle\u002Fmarketing-team\u002Fskills\u002Fdrip-inbox",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 drip-inbox",{"tool":71,"command":72},"bunx","bunx skills add tonone-ai\u002Ftonone --skill drip-inbox",{"tool":74,"command":75},"pnpm","pnpm dlx skills add tonone-ai\u002Ftonone --skill drip-inbox","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fbundle\u002Fmarketing-team\u002Fskills\u002Fdrip-inbox\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",[],[]]