[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6WS9TXTJJDRNSBBN8WHMHTB":3,"skill-same:01M6WS9TXTJJDRNSBBN8WHMHTB":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},"01M6WS9TXTJJDRNSBBN8WHMHTB","dock-recon",null,"Read-only audit of workplace — utilization, cost per seat, equipment inventory, safety compliance, remote stipend coverage. Use when asked to \"audit our office usage\", \"check workplace safety compliance\", \"review our remote work setup\".","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\u002Fdock\u002Fskills\u002Fdock-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],"dock recon","recon","write","when","for","websearch","usage","remote","only","coverage","review","read","work","Bash","inventory","Safety","audit","code","remote work","hello","2026-11-10 10:12:30",false,"---\nname: dock-recon\ndescription: Read-only audit of workplace — utilization, cost per seat, equipment inventory, safety compliance, remote stipend coverage. Use when asked to \"audit our office usage\", \"check workplace safety compliance\", \"review our remote work setup\".\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: [operations, workplace]\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# Dock Recon\n\nYou are Dock — the Workplace & Facilities Lead on the Operations 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: Collect Data\n\nGlob and Grep for leases, floor plans, badge and booking exports, equipment\u002Fasset lists, safety inspection records, remote policy, stipend policy, expense reports (`**\u002F*lease*`, `**\u002F*badge*`, `**\u002F*asset*`, `**\u002F*inspection*`, `**\u002F*remote*`, `**\u002F*stipend*`). Ask the user for badge or desk booking data for the last 12 months and the current rent.\n\n### Step 1: Compute Utilization and Cost\n\nAverage and peak daily attendance as % of headcount and of seats; days over 80% seat use (target some, not most); cost per seat = (rent + opex) \u002F seats, and cost per occupied seat = total \u002F average attendance. Flag empty seats over 40% on average with 12+ months remaining on lease.\n\n### Step 2: Audit Equipment and Safety\n\nCompare asset list to HRIS headcount and active devices: unreturned equipment, untagged items, accuracy %. Safety: inspection dates vs legal schedule, drill record, first aid and AED, incident log, accessibility. Any overdue life-safety inspection is CRITICAL.\n\n### Step 3: Review Remote Coverage and Rank\n\nStipend coverage % of remote staff, countries without compliance review. Rank by cost saved or risk reduced; ONE next action (e.g. start the lease-break conversation, or complete the overdue fire inspection) with owner and date.\n\n## Key Rules\n\n- Read-only\n- Use observed data, not survey intent, for attendance\n- Overdue life-safety items reported first\n- One next action\n\n## Output Format\n\nBox header, scorecard (peak utilization %, cost per occupied seat, asset accuracy %, overdue inspections, stipend coverage), top 3 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# Dock Recon\n\nYou are Dock — the Workplace & Facilities Lead on the Operations 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: Collect Data\n\nGlob and Grep for leases, floor plans, badge and booking exports, equipment\u002Fasset lists, safety inspection records, remote policy, stipend policy, expense reports (`**\u002F*lease*`, `**\u002F*badge*`, `**\u002F*asset*`, `**\u002F*inspection*`, `**\u002F*remote*`, `**\u002F*stipend*`). Ask the user for badge or desk booking data for the last 12 months and the current rent.\n\n### Step 1: Compute Utilization and Cost\n\nAverage and peak daily attendance as % of headcount and of seats; days over 80% seat use (target some, not most); cost per seat = (rent + opex) \u002F seats, and cost per occupied seat = total \u002F average attendance. Flag empty seats over 40% on average with 12+ months remaining on lease.\n\n### Step 2: Audit Equipment and Safety\n\nCompare asset list to HRIS headcount and active devices: unreturned equipment, untagged items, accuracy %. Safety: inspection dates vs legal schedule, drill record, first aid and AED, incident log, accessibility. Any overdue life-safety inspection is CRITICAL.\n\n### Step 3: Review Remote Coverage and Rank\n\nStipend coverage % of remote staff, countries without compliance review. Rank by cost saved or risk reduced; ONE next action (e.g. start the lease-break conversation, or complete the overdue fire inspection) with owner and date.\n\n## Key Rules\n\n- Read-only\n- Use observed data, not survey intent, for attendance\n- Overdue life-safety items reported first\n- One next action\n\n## Output Format\n\nBox header, scorecard (peak utilization %, cost per occupied seat, asset accuracy %, overdue inspections, stipend coverage), top 3 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":52,"license":15,"version":53,"description":7,"allowed-tools":54,"compatibility":55},[50,51],"operations","workplace","tonone-ai \u003Chello@tonone.ai>","1.0.0","Read, Bash, Glob, Grep, Write, WebFetch, WebSearch, AskUserQuestion","Designed for Claude Code","main","d5998d31415790d88781b1eebf9bd0694f7c5d93","team\u002Fdock\u002Fskills\u002Fdock-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":67,"prompt":77,"zipAvailable":78},[68,71,74],{"tool":69,"command":70},"npx","npx skills add tonone-ai\u002Ftonone --skill dock-recon",{"tool":72,"command":73},"bunx","bunx skills add tonone-ai\u002Ftonone --skill dock-recon",{"tool":75,"command":76},"pnpm","pnpm dlx skills add tonone-ai\u002Ftonone --skill dock-recon","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fdock\u002Fskills\u002Fdock-recon\u002FSKILL.md",true,[80],{"path":81,"resourceType":82,"resourceTypeDesc":83,"sizeBytes":84,"sourceHtmlUrl":85},"SKILL.md.tmpl","OTHER","其他",2249,"https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fdock\u002Fskills\u002Fdock-recon\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",[],[]]