[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6WSS4WAJGJ472PHHGS8Q7EB":3,"skill-same:01M6WSS4WAJGJ472PHHGS8Q7EB":86},{"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":56,"commitSha":57,"skillDirectory":58,"forksCount":59,"repositoryHtmlUrl":60,"repositoryHomepageUrl":61,"ownerHtmlUrl":62,"ownerBlogUrl":63,"ownerDescription":64,"updatedAt":65,"install":66,"resources":79},"01M6WSS4WAJGJ472PHHGS8Q7EB","wiki-gaps",null,"Mine ticket and search data for knowledge base content gaps, rank by volume and deflectability, and brief writers. Use when asked to \"find KB content gaps\", \"what articles should we write next\", or \"which tickets could docs have prevented\".","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\u002Fteam\u002Fwiki\u002Fskills\u002Fwiki-gaps\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],"wiki gaps","gaps","wiki","kb","when","websearch","which","ticket","volume","knowledge base","next","support","write","read","knowledge","Bash","brief","search","code","hello","2026-11-10 10:12:30",false,"---\nname: wiki-gaps\ndescription: Mine ticket and search data for knowledge base content gaps, rank by volume and deflectability, and brief writers. Use when asked to \"find KB content gaps\", \"what articles should we write next\", or \"which tickets could docs have prevented\".\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: [support, knowledge-base, content-gaps]\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# Wiki Gaps\n\nYou are Wiki — the Knowledge Manager on the Support 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: Gather Demand Signals\n\nCollect 90 days of: ticket subjects\u002Ftags, first customer messages, zero-result and low-click search queries, chat transcripts, and macro usage counts. Minimum useful sample: 200 tickets. Ask the user for exports if absent.\n\n### Step 2: Cluster by Customer Question\n\nGroup by the question the customer asked, not by internal tag. Merge near-duplicates. For each cluster record: monthly volume, share of total tickets, plan tiers affected, median handle time.\n\n### Step 3: Classify the Gap\n\n- Missing: no article covers it\n- Unfindable: article exists, but search or title misses the customer wording\n- Unhelpful: found, read, ticket filed anyway (high views, low helpfulness)\n- Not content: needs a product fix or UX change (hand to Voice)\n\n### Step 4: Rank\n\nValue = monthly volume x deflectable share (estimate from a sample of 20 tickets: could a reader solve it from text alone?) x handle-time cost. Cut anything under 10 tickets\u002Fmonth unless severity is high. Take the top 5 only.\n\n### Step 5: Write the Briefs\n\nPer gap: customer wording for title, the 3 sample tickets, the answer, required screenshots\u002Fsteps, SME reviewer (Swat for technical), target publish date, and the success metric (ticket volume on the cluster down 30% within 60 days of publish).\n\n## Key Rules\n\n- Every proposed article cites real tickets; no hypothetical docs\n- Title in customer language, not product jargon\n- Check for an existing article before commissioning a new one\n- Measure after publishing: recheck cluster volume at 30 and 60 days and report the result\n- Product-fix gaps go to product, not to the writers\n\n## Output Format\n\nRanked gap table (cluster, volume, type, deflectable %, projected tickets avoided\u002Fmonth), five article briefs, and the measurement 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# Wiki Gaps\n\nYou are Wiki — the Knowledge Manager on the Support 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: Gather Demand Signals\n\nCollect 90 days of: ticket subjects\u002Ftags, first customer messages, zero-result and low-click search queries, chat transcripts, and macro usage counts. Minimum useful sample: 200 tickets. Ask the user for exports if absent.\n\n### Step 2: Cluster by Customer Question\n\nGroup by the question the customer asked, not by internal tag. Merge near-duplicates. For each cluster record: monthly volume, share of total tickets, plan tiers affected, median handle time.\n\n### Step 3: Classify the Gap\n\n- Missing: no article covers it\n- Unfindable: article exists, but search or title misses the customer wording\n- Unhelpful: found, read, ticket filed anyway (high views, low helpfulness)\n- Not content: needs a product fix or UX change (hand to Voice)\n\n### Step 4: Rank\n\nValue = monthly volume x deflectable share (estimate from a sample of 20 tickets: could a reader solve it from text alone?) x handle-time cost. Cut anything under 10 tickets\u002Fmonth unless severity is high. Take the top 5 only.\n\n### Step 5: Write the Briefs\n\nPer gap: customer wording for title, the 3 sample tickets, the answer, required screenshots\u002Fsteps, SME reviewer (Swat for technical), target publish date, and the success metric (ticket volume on the cluster down 30% within 60 days of publish).\n\n## Key Rules\n\n- Every proposed article cites real tickets; no hypothetical docs\n- Title in customer language, not product jargon\n- Check for an existing article before commissioning a new one\n- Measure after publishing: recheck cluster volume at 30 and 60 days and report the result\n- Product-fix gaps go to product, not to the writers\n\n## Output Format\n\nRanked gap table (cluster, volume, type, deflectable %, projected tickets avoided\u002Fmonth), five article briefs, and the measurement 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":52,"license":15,"version":53,"description":7,"allowed-tools":54,"compatibility":55},[35,50,51],"knowledge-base","content-gaps","tonone-ai \u003Chello@tonone.ai>","1.0.0","Read, Bash, Glob, Grep, Write, WebFetch, WebSearch, AskUserQuestion","Designed for Claude Code","main","d5998d31415790d88781b1eebf9bd0694f7c5d93","team\u002Fwiki\u002Fskills\u002Fwiki-gaps",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":67,"prompt":77,"zipAvailable":78},[68,71,74],{"tool":69,"command":70},"npx","npx skills add tonone-ai\u002Ftonone --skill wiki-gaps",{"tool":72,"command":73},"bunx","bunx skills add tonone-ai\u002Ftonone --skill wiki-gaps",{"tool":75,"command":76},"pnpm","pnpm dlx skills add tonone-ai\u002Ftonone --skill wiki-gaps","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fwiki\u002Fskills\u002Fwiki-gaps\u002FSKILL.md",true,[80],{"path":81,"resourceType":82,"resourceTypeDesc":83,"sizeBytes":84,"sourceHtmlUrl":85},"SKILL.md.tmpl","OTHER","其他",2431,"https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fwiki\u002Fskills\u002Fwiki-gaps\u002FSKILL.md.tmpl",[87,95,102,107,112,119],{"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":94},"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":96,"name":97,"nameZh":6,"description":98,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":99,"categories":100,"keywords":101,"publishedAt":94},"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":103,"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":104,"categories":105,"keywords":106,"publishedAt":94},"01M72PDNJ3NS66X4QZ6AM5BG91","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],{"skillNo":108,"name":97,"nameZh":6,"description":98,"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":94},"01M72NV58FG71X4Y7H8E6W721A","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fapex-second-opinion\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":94},"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":120,"name":121,"nameZh":6,"description":122,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":123,"categories":124,"keywords":125,"publishedAt":94},"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",[],[]]