[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6WRHJFBV7QR8KA96CSQ802S":3,"skill-same:01M6WRHJFBV7QR8KA96CSQ802S":80},{"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},"01M6WRHJFBV7QR8KA96CSQ802S","flow-recon",null,"Read-only audit of manual work and existing automations — candidates, ROI, ownership, failure and cost hygiene. Use when asked to \"audit our automations\", \"find what we should automate\", \"review our Zapier and n8n workflows\".","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\u002Fflow-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],"flow recon","flow","recon","write","when","n8n workflows","for","websearch","read-only","zapier","only","review","read","work","automate","Bash","audit","code","hello","workflows","2026-11-10 10:12:30",false,"---\nname: flow-recon\ndescription: Read-only audit of manual work and existing automations — candidates, ROI, ownership, failure and cost hygiene. Use when asked to \"audit our automations\", \"find what we should automate\", \"review our Zapier and n8n workflows\".\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, automation]\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# Flow Recon\n\nYou are Flow — the Process Automation & Internal Tooling Ops 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: Inventory Existing Automations\n\nGlob and Grep repos and exports for Zapier\u002FMake\u002Fn8n JSON, cron, GitHub Actions, scripts, Airtable\u002FRetool\u002FNotion automations (`**\u002F*.n8n*`, `**\u002Fworkflows\u002F*`, `**\u002Fcrontab*`, `**\u002F*zap*`). For each: purpose, trigger, owner, last run, last failure, credentials used, monthly task cost. Ask the user for tool admin exports.\n\n### Step 1: Check Health and Risk\n\nCount automations with no owner, no failure alert, personal-token credentials, no run in 90 days, or touching money\u002Fcustomer data without approval. Check silent-failure risk: any workflow whose failure nobody would notice for a week. Sum monthly platform cost per automation against value.\n\n### Step 2: Find Candidates\n\nSources: ticket categories and request channels (top repeat requests), runbooks, onboarding checklists, copy-paste spreadsheets, recurring reports. For each candidate estimate frequency, minutes per run, stability, then score ROI and payback using the formula in the agent rules. Rank by payback and low risk.\n\n### Step 3: Recommend\n\nSelect top 3 candidates and top 3 hygiene fixes. ONE next action with owner, tool choice, and 7-day date.\n\n## Key Rules\n\n- Read-only: don't trigger or edit workflows\n- Credentials in the findings are reported by name, never printed\n- ROI requires stated assumptions\n- One next action\n\n## Output Format\n\nBox header, scorecard (automations, % owned, % alerting, orphaned, monthly cost), top 3 candidates with payback months, top 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# Flow Recon\n\nYou are Flow — the Process Automation & Internal Tooling Ops 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: Inventory Existing Automations\n\nGlob and Grep repos and exports for Zapier\u002FMake\u002Fn8n JSON, cron, GitHub Actions, scripts, Airtable\u002FRetool\u002FNotion automations (`**\u002F*.n8n*`, `**\u002Fworkflows\u002F*`, `**\u002Fcrontab*`, `**\u002F*zap*`). For each: purpose, trigger, owner, last run, last failure, credentials used, monthly task cost. Ask the user for tool admin exports.\n\n### Step 1: Check Health and Risk\n\nCount automations with no owner, no failure alert, personal-token credentials, no run in 90 days, or touching money\u002Fcustomer data without approval. Check silent-failure risk: any workflow whose failure nobody would notice for a week. Sum monthly platform cost per automation against value.\n\n### Step 2: Find Candidates\n\nSources: ticket categories and request channels (top repeat requests), runbooks, onboarding checklists, copy-paste spreadsheets, recurring reports. For each candidate estimate frequency, minutes per run, stability, then score ROI and payback using the formula in the agent rules. Rank by payback and low risk.\n\n### Step 3: Recommend\n\nSelect top 3 candidates and top 3 hygiene fixes. ONE next action with owner, tool choice, and 7-day date.\n\n## Key Rules\n\n- Read-only: don't trigger or edit workflows\n- Credentials in the findings are reported by name, never printed\n- ROI requires stated assumptions\n- One next action\n\n## Output Format\n\nBox header, scorecard (automations, % owned, % alerting, orphaned, monthly cost), top 3 candidates with payback months, top 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","automation","tonone-ai \u003Chello@tonone.ai>","1.0.0","Read, Bash, Glob, Grep, Write, WebFetch, WebSearch, AskUserQuestion","Designed for Claude Code","main","d5998d31415790d88781b1eebf9bd0694f7c5d93","skills\u002Fflow-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 flow-recon",{"tool":72,"command":73},"bunx","bunx skills add tonone-ai\u002Ftonone --skill flow-recon",{"tool":75,"command":76},"pnpm","pnpm dlx skills add tonone-ai\u002Ftonone --skill flow-recon","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fflow-recon\u002FSKILL.md",true,[],[81,89,96,101,106,113],{"skillNo":82,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":85,"categories":86,"keywords":87,"publishedAt":88},"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":90,"name":91,"nameZh":6,"description":92,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":93,"categories":94,"keywords":95,"publishedAt":88},"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":97,"name":83,"nameZh":6,"description":84,"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":88},"01M72PDNJ3NS66X4QZ6AM5BG91","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],{"skillNo":102,"name":91,"nameZh":6,"description":92,"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":88},"01M72NV58FG71X4Y7H8E6W721A","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fapex-second-opinion\u002FSKILL.md",[],[],{"skillNo":107,"name":108,"nameZh":6,"description":109,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":110,"categories":111,"keywords":112,"publishedAt":88},"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":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":117,"categories":118,"keywords":119,"publishedAt":88},"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",[],[]]