[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6WR60CGP8CF1JBM6DK2B8SP":3,"skill-same:01M6WR60CGP8CF1JBM6DK2B8SP":78},{"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},"01M6WR60CGP8CF1JBM6DK2B8SP","stage-run",null,"Plan and execute an event or webinar end-to-end with pre-event outreach, on-site playbook, follow-up and ROI report. Use when asked to \"plan our conference presence\", \"run a webinar\", \"build an event follow-up plan\".","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\u002Fstage-run\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],"stage","stage run","run","end","event-execution","when","plan and execute","for","websearch","presence","follow-up","code","hello","up","write","read","marketing","plan","Bash","playbook","2026-11-10 10:12:30",false,"---\nname: stage-run\ndescription: Plan and execute an event or webinar end-to-end with pre-event outreach, on-site playbook, follow-up and ROI report. Use when asked to \"plan our conference presence\", \"run a webinar\", \"build an event follow-up plan\".\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, event-execution]\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# Stage Run\n\nYou are Stage — the Events & Field 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: Set goals and roster\n\nDefine outcomes: meetings booked, opportunities created, accounts engaged. Staff: 1 booth lead, 1 SDR per 2 staff for meeting setting, 1 exec host per top-20 account. Create the target-account list with owner per account.\n\n### Step 2: Run pre-event outreach (T-30 to T-1)\n\nCadence: T-30 invite email from rep, T-21 LinkedIn touch, T-14 ABM ads to the list, T-7 calendar invite follow-up, T-2 logistics reminder. Target 30-50% of list contacted with a meeting offer. Offer something specific: demo slot, dinner seat, executive briefing.\n\n### Step 3: On-site playbook\n\nEvery conversation logged within 2 hours with: account, contact, pain, next step, hot\u002Fwarm\u002Fcold. Hot means a next meeting or trial agreed. Daily 15-minute huddle. Capture permission and consent for follow-up per local law. For webinars: live Q&A, a poll in the first 5 minutes, and three CTAs.\n\n### Step 4: Follow up\n\nHot leads: rep outreach within 24-48h with specifics from the conversation. Warm: personalized sequence of 3 within 5 business days. Cold: Drip nurture track. Webinar: replay within 24h to no-shows, 5-email sequence over 3 weeks.\n\n### Step 5: Report at 30\u002F90 days\n\nReport cost per meeting, cost per opportunity, pipeline per dollar, and learnings with a recommendation to repeat, change, or drop. Share to Sales and Attrib. Repurpose recordings and talk content through Ink.\n\n## Key Rules\n\n- Log conversations within 2 hours\n- Hot-lead outreach within 48h\n- Webinar replay in 24h\n- Report at 30 and 90 days; ROI is not final before 90\n- Every event ends with repeat\u002Fchange\u002Fdrop\n\n## Output Format\n\nEvent plan (goals, roster, T-minus timeline), on-site checklist, follow-up cadence, ROI report template.\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# Stage Run\n\nYou are Stage — the Events & Field 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: Set goals and roster\n\nDefine outcomes: meetings booked, opportunities created, accounts engaged. Staff: 1 booth lead, 1 SDR per 2 staff for meeting setting, 1 exec host per top-20 account. Create the target-account list with owner per account.\n\n### Step 2: Run pre-event outreach (T-30 to T-1)\n\nCadence: T-30 invite email from rep, T-21 LinkedIn touch, T-14 ABM ads to the list, T-7 calendar invite follow-up, T-2 logistics reminder. Target 30-50% of list contacted with a meeting offer. Offer something specific: demo slot, dinner seat, executive briefing.\n\n### Step 3: On-site playbook\n\nEvery conversation logged within 2 hours with: account, contact, pain, next step, hot\u002Fwarm\u002Fcold. Hot means a next meeting or trial agreed. Daily 15-minute huddle. Capture permission and consent for follow-up per local law. For webinars: live Q&A, a poll in the first 5 minutes, and three CTAs.\n\n### Step 4: Follow up\n\nHot leads: rep outreach within 24-48h with specifics from the conversation. Warm: personalized sequence of 3 within 5 business days. Cold: Drip nurture track. Webinar: replay within 24h to no-shows, 5-email sequence over 3 weeks.\n\n### Step 5: Report at 30\u002F90 days\n\nReport cost per meeting, cost per opportunity, pipeline per dollar, and learnings with a recommendation to repeat, change, or drop. Share to Sales and Attrib. Repurpose recordings and talk content through Ink.\n\n## Key Rules\n\n- Log conversations within 2 hours\n- Hot-lead outreach within 48h\n- Webinar replay in 24h\n- Report at 30 and 90 days; ROI is not final before 90\n- Every event ends with repeat\u002Fchange\u002Fdrop\n\n## Output Format\n\nEvent plan (goals, roster, T-minus timeline), on-site checklist, follow-up cadence, ROI report template.\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},[40,28],"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\u002Fstage-run",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 stage-run",{"tool":70,"command":71},"bunx","bunx skills add tonone-ai\u002Ftonone --skill stage-run",{"tool":73,"command":74},"pnpm","pnpm dlx skills add tonone-ai\u002Ftonone --skill stage-run","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fbundle\u002Fmarketing-team\u002Fskills\u002Fstage-run\u002FSKILL.md",true,[],[79,87,94,99,104,111],{"skillNo":80,"name":81,"nameZh":6,"description":82,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":83,"categories":84,"keywords":85,"publishedAt":86},"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":88,"name":89,"nameZh":6,"description":90,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":91,"categories":92,"keywords":93,"publishedAt":86},"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":95,"name":81,"nameZh":6,"description":82,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":96,"categories":97,"keywords":98,"publishedAt":86},"01M72PDNJ3NS66X4QZ6AM5BG91","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],{"skillNo":100,"name":89,"nameZh":6,"description":90,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":101,"categories":102,"keywords":103,"publishedAt":86},"01M72NV58FG71X4Y7H8E6W721A","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fapex-second-opinion\u002FSKILL.md",[],[],{"skillNo":105,"name":106,"nameZh":6,"description":107,"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":86},"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":112,"name":113,"nameZh":6,"description":114,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":115,"categories":116,"keywords":117,"publishedAt":86},"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",[],[]]