[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6WSS8KP9MF0BRNJYB9MPVJS":3,"skill-same:01M6WSS8KP9MF0BRNJYB9MPVJS":85},{"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":55,"commitSha":56,"skillDirectory":57,"forksCount":58,"repositoryHtmlUrl":59,"repositoryHomepageUrl":60,"ownerHtmlUrl":61,"ownerBlogUrl":62,"ownerDescription":63,"updatedAt":64,"install":65,"resources":78},"01M6WSS8KP9MF0BRNJYB9MPVJS","wiki-recon",null,"Audit the knowledge base operation — article inventory, freshness, coverage, search health, deflection baseline. Read-only. Use when asked to \"audit our knowledge base\", \"how healthy is our help center\", or \"why is our KB not deflecting tickets\".","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-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],"wiki recon","recon","wiki","read","when","websearch","article","knowledge base","only","kb","coverage","support","knowledge","Bash","why","how","inventory","audit","search","code","2026-11-10 10:12:30",false,"---\nname: wiki-recon\ndescription: Audit the knowledge base operation — article inventory, freshness, coverage, search health, deflection baseline. Read-only. Use when asked to \"audit our knowledge base\", \"how healthy is our help center\", or \"why is our KB not deflecting tickets\".\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, recon]\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 Recon\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: Inventory\n\nLocate KB content: markdown\u002FMDX in the repo, help-center exports, sitemap, docs folders. Count articles, categories, and depth of nesting. Read front matter for owner, last-updated, and version tags. Ask for analytics exports (views, helpfulness, search queries) if not in the repo. Read-only.\n\n### Step 2: Freshness and Ownership\n\nCompute: share of articles updated within 180 days, share over 365 days, share with named owner, share with a review date. Over 25% stale or under 80% owned is a process failure, not a content failure.\n\n### Step 3: Quality Spot-Check\n\nSample 15 articles weighted by traffic. Check: title matches how customers phrase the problem, answer in first 2 sentences, numbered steps under 10, current UI labels, screenshots match product, link health, one canonical per question. Count duplicates and near-duplicates by title similarity.\n\n### Step 4: Search and Deflection Health\n\nFrom search logs: zero-result rate (target under 5%), top 20 queries and whether the right article ranks in top 3, search refinements per session. From support data: tickets per topic that already have an article (an article exists but did not deflect means findability or quality issue).\n\n### Step 5: Findings and Next Action\n\nRank the top 3 findings. Single next action with owner and metric, usually \"run \u002Fwiki-audit on the top 30 traffic articles\" or \"run \u002Fwiki-gaps\".\n\n## Key Rules\n\n- Read-only: do not edit or retire articles in recon\n- Analytics missing is itself a finding; do not guess traffic\n- Separate \"article missing\" from \"article exists but not found\" from \"article found but unhelpful\"\n- Report sample sizes beside every percentage\n\n## Output Format\n\nBox scorecard (article count, % fresh, % owned, zero-result rate, helpfulness, deflection baseline), three ranked findings with ■ CRITICAL \u002F ▲ WARNING \u002F ● INFO, 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# Wiki Recon\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: Inventory\n\nLocate KB content: markdown\u002FMDX in the repo, help-center exports, sitemap, docs folders. Count articles, categories, and depth of nesting. Read front matter for owner, last-updated, and version tags. Ask for analytics exports (views, helpfulness, search queries) if not in the repo. Read-only.\n\n### Step 2: Freshness and Ownership\n\nCompute: share of articles updated within 180 days, share over 365 days, share with named owner, share with a review date. Over 25% stale or under 80% owned is a process failure, not a content failure.\n\n### Step 3: Quality Spot-Check\n\nSample 15 articles weighted by traffic. Check: title matches how customers phrase the problem, answer in first 2 sentences, numbered steps under 10, current UI labels, screenshots match product, link health, one canonical per question. Count duplicates and near-duplicates by title similarity.\n\n### Step 4: Search and Deflection Health\n\nFrom search logs: zero-result rate (target under 5%), top 20 queries and whether the right article ranks in top 3, search refinements per session. From support data: tickets per topic that already have an article (an article exists but did not deflect means findability or quality issue).\n\n### Step 5: Findings and Next Action\n\nRank the top 3 findings. Single next action with owner and metric, usually \"run \u002Fwiki-audit on the top 30 traffic articles\" or \"run \u002Fwiki-gaps\".\n\n## Key Rules\n\n- Read-only: do not edit or retire articles in recon\n- Analytics missing is itself a finding; do not guess traffic\n- Separate \"article missing\" from \"article exists but not found\" from \"article found but unhelpful\"\n- Report sample sizes beside every percentage\n\n## Output Format\n\nBox scorecard (article count, % fresh, % owned, zero-result rate, helpfulness, deflection baseline), three ranked findings with ■ CRITICAL \u002F ▲ WARNING \u002F ● INFO, 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":51,"license":15,"version":52,"description":7,"allowed-tools":53,"compatibility":54},[35,50,25],"knowledge-base","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-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":66,"prompt":76,"zipAvailable":77},[67,70,73],{"tool":68,"command":69},"npx","npx skills add tonone-ai\u002Ftonone --skill wiki-recon",{"tool":71,"command":72},"bunx","bunx skills add tonone-ai\u002Ftonone --skill wiki-recon",{"tool":74,"command":75},"pnpm","pnpm dlx skills add tonone-ai\u002Ftonone --skill wiki-recon","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fwiki\u002Fskills\u002Fwiki-recon\u002FSKILL.md",true,[79],{"path":80,"resourceType":81,"resourceTypeDesc":82,"sizeBytes":83,"sourceHtmlUrl":84},"SKILL.md.tmpl","OTHER","其他",2525,"https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fwiki\u002Fskills\u002Fwiki-recon\u002FSKILL.md.tmpl",[86,94,101,106,111,118],{"skillNo":87,"name":88,"nameZh":6,"description":89,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":90,"categories":91,"keywords":92,"publishedAt":93},"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":95,"name":96,"nameZh":6,"description":97,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":98,"categories":99,"keywords":100,"publishedAt":93},"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":102,"name":88,"nameZh":6,"description":89,"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":93},"01M72PDNJ3NS66X4QZ6AM5BG91","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],{"skillNo":107,"name":96,"nameZh":6,"description":97,"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":93},"01M72NV58FG71X4Y7H8E6W721A","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fapex-second-opinion\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":93},"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":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":124,"publishedAt":93},"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",[],[]]