[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6WSAT8VHSCXZAT4XY9BSKFK":3,"skill-same:01M6WSAT8VHSCXZAT4XY9BSKFK":90},{"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":28,"publishedAt":49,"linkOnly":50,"markdownContent":51,"markdownBody":52,"frontMatter":53,"refName":60,"commitSha":61,"skillDirectory":62,"forksCount":63,"repositoryHtmlUrl":64,"repositoryHomepageUrl":65,"ownerHtmlUrl":66,"ownerBlogUrl":67,"ownerDescription":68,"updatedAt":69,"install":70,"resources":83},"01M6WSAT8VHSCXZAT4XY9BSKFK","flow-build",null,"Build an automation spec and implementation — tool selection, trigger and steps, error handling, tests, ownership. Use when asked to \"automate this process\", \"build a workflow in n8n\", \"write an automation spec\".","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\u002Fflow\u002Fskills\u002Fflow-build\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48],"flow build","build","flow","use","tests","tool","trigger","for","automate","write","hello","read","websearch","code","Bash","workflow","automate this","when","selection","error","2026-11-10 10:12:30",false,"---\nname: flow-build\ndescription: Build an automation spec and implementation — tool selection, trigger and steps, error handling, tests, ownership. Use when asked to \"automate this process\", \"build a workflow in n8n\", \"write an automation spec\".\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, build]\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 Build\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: Confirm the Process Is Ready\n\nAsk for the current manual steps, frequency, volume, inputs, exceptions, and the outcome metric. Walk 5 real examples; if exceptions exceed 20% of runs, simplify the process first (hand to Keel). Write the happy path and the 3 most common exceptions.\n\n### Step 1: Choose the Tool\n\nDecision rule: native integration or Zapier\u002FMake for under 5 steps and low volume (cost grows with tasks); n8n self-hosted or cloud for branching, loops, and sensitive data; a script in version control with tests for complex logic or high volume. Check connectors, rate limits, data residency, and who will maintain it.\n\n### Step 2: Design for Failure\n\nSpec: trigger, filter, steps, idempotency key, retries with backoff, dead-letter or error queue, alert channel, approval gate for money, deletion, or customer-facing sends, and audit log. Use service accounts with least privilege and a vault for secrets. Keep each workflow under about 15 steps; split with sub-workflows.\n\n### Step 3: Test, Launch, Hand Over\n\nTest with sample data plus 3 failure cases (bad input, API down, duplicate). Run in shadow mode for 1 week comparing to the manual output. Launch with owner, runbook, monitoring, and a manual fallback. Measure actual minutes saved at 30 days against the estimate.\n\n## Key Rules\n\n- Shadow-run before cutover\n- Idempotency and dedupe from the start\n- One owner and one alert channel per workflow\n- Version-control scripts and exported workflow JSON\n\n## Output Format\n\nAutomation spec (trigger, steps, error handling, ownership), the workflow or script itself, test log, and 30-day ROI check date.\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 Build\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: Confirm the Process Is Ready\n\nAsk for the current manual steps, frequency, volume, inputs, exceptions, and the outcome metric. Walk 5 real examples; if exceptions exceed 20% of runs, simplify the process first (hand to Keel). Write the happy path and the 3 most common exceptions.\n\n### Step 1: Choose the Tool\n\nDecision rule: native integration or Zapier\u002FMake for under 5 steps and low volume (cost grows with tasks); n8n self-hosted or cloud for branching, loops, and sensitive data; a script in version control with tests for complex logic or high volume. Check connectors, rate limits, data residency, and who will maintain it.\n\n### Step 2: Design for Failure\n\nSpec: trigger, filter, steps, idempotency key, retries with backoff, dead-letter or error queue, alert channel, approval gate for money, deletion, or customer-facing sends, and audit log. Use service accounts with least privilege and a vault for secrets. Keep each workflow under about 15 steps; split with sub-workflows.\n\n### Step 3: Test, Launch, Hand Over\n\nTest with sample data plus 3 failure cases (bad input, API down, duplicate). Run in shadow mode for 1 week comparing to the manual output. Launch with owner, runbook, monitoring, and a manual fallback. Measure actual minutes saved at 30 days against the estimate.\n\n## Key Rules\n\n- Shadow-run before cutover\n- Idempotency and dedupe from the start\n- One owner and one alert channel per workflow\n- Version-control scripts and exported workflow JSON\n\n## Output Format\n\nAutomation spec (trigger, steps, error handling, ownership), the workflow or script itself, test log, and 30-day ROI check date.\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":54,"author":56,"license":15,"version":57,"description":7,"allowed-tools":58,"compatibility":59},[55,30],"operations","tonone-ai \u003Chello@tonone.ai>","1.0.0","Read, Bash, Glob, Grep, Write, WebFetch, WebSearch, AskUserQuestion","Designed for Claude Code","main","d5998d31415790d88781b1eebf9bd0694f7c5d93","team\u002Fflow\u002Fskills\u002Fflow-build",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":71,"prompt":81,"zipAvailable":82},[72,75,78],{"tool":73,"command":74},"npx","npx skills add tonone-ai\u002Ftonone --skill flow-build",{"tool":76,"command":77},"bunx","bunx skills add tonone-ai\u002Ftonone --skill flow-build",{"tool":79,"command":80},"pnpm","pnpm dlx skills add tonone-ai\u002Ftonone --skill flow-build","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fflow\u002Fskills\u002Fflow-build\u002FSKILL.md",true,[84],{"path":85,"resourceType":86,"resourceTypeDesc":87,"sizeBytes":88,"sourceHtmlUrl":89},"SKILL.md.tmpl","OTHER","其他",2262,"https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fflow\u002Fskills\u002Fflow-build\u002FSKILL.md.tmpl",[91,99,106,111,116,123],{"skillNo":92,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":97,"publishedAt":98},"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":100,"name":101,"nameZh":6,"description":102,"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":98},"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":107,"name":93,"nameZh":6,"description":94,"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":98},"01M72PDNJ3NS66X4QZ6AM5BG91","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],{"skillNo":112,"name":101,"nameZh":6,"description":102,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":113,"categories":114,"keywords":115,"publishedAt":98},"01M72NV58FG71X4Y7H8E6W721A","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fapex-second-opinion\u002FSKILL.md",[],[],{"skillNo":117,"name":118,"nameZh":6,"description":119,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":120,"categories":121,"keywords":122,"publishedAt":98},"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":124,"name":125,"nameZh":6,"description":126,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":127,"categories":128,"keywords":129,"publishedAt":98},"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",[],[]]