[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6WRFSDAZEFNY4ZBF8JCWTQ4":3,"skill-same:01M6WRFSDAZEFNY4ZBF8JCWTQ4":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},"01M6WRFSDAZEFNY4ZBF8JCWTQ4","demo-recon",null,"Read-only audit of SE readiness — demo assets, POC history, questionnaire bank, technical win rate. Use when asked to \"audit our sales engineering\", \"how good are our demos\", or \"review our POC process\".","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\u002Fdemo-recon\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],"demo recon","demo","recon","only","solutions","when","rate","bank","websearch","revenue","demos","review","good","write","read","Bash","how","audit","code","hello","2026-11-10 10:12:30",false,"---\nname: demo-recon\ndescription: Read-only audit of SE readiness — demo assets, POC history, questionnaire bank, technical win rate. Use when asked to \"audit our sales engineering\", \"how good are our demos\", or \"review our POC process\".\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, solutions]\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# Demo Recon\n\nYou are Demo — the Solutions Engineer 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: Inventory Assets\n\nGlob for demo scripts, demo environment configs, POC plans and reports, security questionnaire answers, trust-center or SOC 2 docs, RFP archives, integration guides, competitive tech comparisons. Note last-updated dates. Ask (AskUserQuestion) for SE count, enterprise AE count, and deals with a technical stage per quarter.\n\n### Step 1: Measure The Technical Funnel\n\nFrom CRM data compute: % of opportunities with SE involvement, technical win rate (deals leaving technical stage as won \u002F entering), POC-to-win rate (target above 60%), median POC duration (target 14-28 days), POC count that expired with no decision (over 20% = CRITICAL), SE-to-AE ratio.\n\n### Step 2: Assess Demo Quality\n\nRead 3 recent demo scripts or recordings. Check: discovery recorded before demo, 3 workflows or fewer, pain-tied narrative, demo environment reset time, whether the demo depends on live production data, and failure fallback (screenshots, recorded clips).\n\n### Step 3: Audit The Answer Bank\n\nCount questionnaire answers, % reviewed in the last 6 months, % with an owner, average turnaround for the last 5 questionnaires. Flag answers that contradict current security docs or certifications. Absent answer bank = WARNING.\n\n### Step 4: Check Feedback Loop\n\nIs there a list of product gaps from deals with ARR attached? When was it last sent to product? Count gaps recurring in 3+ lost deals.\n\n## Key Rules\n\n- Read-only: no demo environment changes\n- Cite counts and dates for every finding\n- Separate SE capacity problems from SE process problems\n- One next action only\n\n## Output Format\n\nBox header, technical funnel metrics vs targets, asset inventory status, top 3-5 findings with severity, one next action.\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# Demo Recon\n\nYou are Demo — the Solutions Engineer 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: Inventory Assets\n\nGlob for demo scripts, demo environment configs, POC plans and reports, security questionnaire answers, trust-center or SOC 2 docs, RFP archives, integration guides, competitive tech comparisons. Note last-updated dates. Ask (AskUserQuestion) for SE count, enterprise AE count, and deals with a technical stage per quarter.\n\n### Step 1: Measure The Technical Funnel\n\nFrom CRM data compute: % of opportunities with SE involvement, technical win rate (deals leaving technical stage as won \u002F entering), POC-to-win rate (target above 60%), median POC duration (target 14-28 days), POC count that expired with no decision (over 20% = CRITICAL), SE-to-AE ratio.\n\n### Step 2: Assess Demo Quality\n\nRead 3 recent demo scripts or recordings. Check: discovery recorded before demo, 3 workflows or fewer, pain-tied narrative, demo environment reset time, whether the demo depends on live production data, and failure fallback (screenshots, recorded clips).\n\n### Step 3: Audit The Answer Bank\n\nCount questionnaire answers, % reviewed in the last 6 months, % with an owner, average turnaround for the last 5 questionnaires. Flag answers that contradict current security docs or certifications. Absent answer bank = WARNING.\n\n### Step 4: Check Feedback Loop\n\nIs there a list of product gaps from deals with ARR attached? When was it last sent to product? Count gaps recurring in 3+ lost deals.\n\n## Key Rules\n\n- Read-only: no demo environment changes\n- Cite counts and dates for every finding\n- Separate SE capacity problems from SE process problems\n- One next action only\n\n## Output Format\n\nBox header, technical funnel metrics vs targets, asset inventory status, top 3-5 findings with severity, one next action.\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},[33,28],"tonone-ai \u003Chello@tonone.ai>","1.0.0","Read, Bash, Glob, Grep, Write, WebFetch, WebSearch, AskUserQuestion","Designed for Claude Code","main","d5998d31415790d88781b1eebf9bd0694f7c5d93","skills\u002Fdemo-recon",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 demo-recon",{"tool":70,"command":71},"bunx","bunx skills add tonone-ai\u002Ftonone --skill demo-recon",{"tool":73,"command":74},"pnpm","pnpm dlx skills add tonone-ai\u002Ftonone --skill demo-recon","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fdemo-recon\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",[],[]]