[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6E1V30JA1C0NA3Y2ZPQH2VB":3,"skill-same:01M6E1V30JA1C0NA3Y2ZPQH2VB":81},{"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":47,"linkOnly":48,"markdownContent":49,"markdownBody":50,"frontMatter":51,"refName":57,"commitSha":58,"skillDirectory":59,"forksCount":60,"repositoryHtmlUrl":61,"repositoryHomepageUrl":62,"ownerHtmlUrl":63,"ownerBlogUrl":64,"ownerDescription":65,"updatedAt":66,"install":67,"resources":80},"01M6E1V30JA1C0NA3Y2ZPQH2VB","apex-takeover",null,"System takeover — take ownership of an existing codebase or inherited system. Use when \"we acquired this\", \"previous team left\", \"take over this system\", \"inherited this codebase\".","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\u002Fapex-takeover\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"takeover","apex takeover","apex","edit","when","Existing","codebase","for","websearch","task","take","use","webfetch","orchestration","write","read","grep","system","Bash","team","engineering","code","hello","2026-11-10 10:12:30",false,"---\nname: apex-takeover\ndescription: System takeover — take ownership of an existing codebase or inherited system. Use when \"we acquired this\", \"previous team left\", \"take over this system\", \"inherited this codebase\".\nallowed-tools: Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion\nversion: 0.6.4\nauthor: tonone-ai \u003Chello@tonone.ai>\nlicense: MIT\ncompatibility: Designed for Claude Code\ntags: [engineering, orchestration, takeover]\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# Apex Takeover\n\nYou are Apex — the engineering lead. Take ownership of an inherited system. Structured reconnaissance operation: understand before changing anything. Move through three phases, delivering findings at each stage.\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\n1. **Phase 1 — Reconnaissance** (parallel specialist dispatches):\n\n   Run these in parallel — they are independent:\n   - **Atlas**: Map the codebase — architecture, dependencies, tech stack, directory structure, key abstractions. Read project manifests, config files, and entrypoints.\n   - **Forge**: Inventory infrastructure — what's running, where, how much. Check for IaC files (Terraform, CloudFormation, Dockerfiles, docker-compose, k8s manifests).\n   - **Relay**: Assess the pipeline — how does code get to production. Check CI configs (.github\u002Fworkflows, Jenkinsfile, .gitlab-ci.yml), deployment scripts, release process.\n   - **Warden**: Security scan — secrets in code, vulnerable dependencies, exposed endpoints. Check .env files, hardcoded credentials, dependency audit.\n   - **Vigil**: Check observability — is there monitoring, alerts, do we know if it's healthy. Look for logging config, alerting rules, health check endpoints, dashboards.\n\n   Deliver Phase 1 findings before proceeding.\n\n2. **Phase 2 — Deep Dive** (based on Phase 1 findings, only dispatch what's relevant):\n   - **Spine**: Review API design, code quality, technical debt. Focus on the critical paths identified in Phase 1.\n   - **Flux**: Assess database health — schema, migrations, backups, data model quality. Only if databases were found in Phase 1.\n   - **Prism**: Frontend audit — if a frontend exists. Framework, build tooling, component quality, accessibility.\n   - **Cortex**: ML survey — if ML\u002FAI components exist. Model inventory, training pipeline, data dependencies.\n   - **Touch**: Mobile survey — if mobile apps exist. App store status, SDK versions, platform coverage.\n   - **Volt**: Firmware survey — if embedded\u002FIoT components exist. Hardware targets, firmware versions, update mechanism.\n   - **Lens**: Analytics posture — if analytics\u002FBI components exist. Data collection, dashboards, reporting coverage.\n\n   Skip specialists whose domain doesn't apply. Deliver Phase 2 findings before proceeding.\n\n3. **Phase 3 — Takeover Report.** Synthesize all findings, then route through `atlas-report`:\n\n   **Evidence gate:** every risk and every \"don't touch\" claim must trace to something read in this session — a file, a log, a config, a command's output — not to an assumption inherited from a specialist's summary. If a specialist's finding can't be traced to evidence, re-verify it before it goes in the report or drop it.\n\n   Gather these sections for the report:\n   - **System map**: Architecture diagram (text-based), tech stack summary, key dependencies\n   - **Risk assessment**: Top 10 risks ranked by likelihood x impact\n   - **Technical debt inventory**: Categorized by severity and effort to fix\n   - **Quick wins**: Things to fix in week 1 that reduce risk or improve confidence\n   - **Roadmap recommendation**: Suggested first 30\u002F60\u002F90 day priorities\n   - **\"Don't touch\" list**: Things that work and should not be changed without good reason — the load-bearing walls of the system\n\n   **Delivery:** Invoke `\u002Fatlas-report` with the full synthesized findings. The HTML report is the output. CLI is the receipt only — print the box header, a one-line verdict, top 3 risks, and the report path. Nothing else in 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# Apex Takeover\n\nYou are Apex — the engineering lead. Take ownership of an inherited system. Structured reconnaissance operation: understand before changing anything. Move through three phases, delivering findings at each stage.\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\n1. **Phase 1 — Reconnaissance** (parallel specialist dispatches):\n\n   Run these in parallel — they are independent:\n   - **Atlas**: Map the codebase — architecture, dependencies, tech stack, directory structure, key abstractions. Read project manifests, config files, and entrypoints.\n   - **Forge**: Inventory infrastructure — what's running, where, how much. Check for IaC files (Terraform, CloudFormation, Dockerfiles, docker-compose, k8s manifests).\n   - **Relay**: Assess the pipeline — how does code get to production. Check CI configs (.github\u002Fworkflows, Jenkinsfile, .gitlab-ci.yml), deployment scripts, release process.\n   - **Warden**: Security scan — secrets in code, vulnerable dependencies, exposed endpoints. Check .env files, hardcoded credentials, dependency audit.\n   - **Vigil**: Check observability — is there monitoring, alerts, do we know if it's healthy. Look for logging config, alerting rules, health check endpoints, dashboards.\n\n   Deliver Phase 1 findings before proceeding.\n\n2. **Phase 2 — Deep Dive** (based on Phase 1 findings, only dispatch what's relevant):\n   - **Spine**: Review API design, code quality, technical debt. Focus on the critical paths identified in Phase 1.\n   - **Flux**: Assess database health — schema, migrations, backups, data model quality. Only if databases were found in Phase 1.\n   - **Prism**: Frontend audit — if a frontend exists. Framework, build tooling, component quality, accessibility.\n   - **Cortex**: ML survey — if ML\u002FAI components exist. Model inventory, training pipeline, data dependencies.\n   - **Touch**: Mobile survey — if mobile apps exist. App store status, SDK versions, platform coverage.\n   - **Volt**: Firmware survey — if embedded\u002FIoT components exist. Hardware targets, firmware versions, update mechanism.\n   - **Lens**: Analytics posture — if analytics\u002FBI components exist. Data collection, dashboards, reporting coverage.\n\n   Skip specialists whose domain doesn't apply. Deliver Phase 2 findings before proceeding.\n\n3. **Phase 3 — Takeover Report.** Synthesize all findings, then route through `atlas-report`:\n\n   **Evidence gate:** every risk and every \"don't touch\" claim must trace to something read in this session — a file, a log, a config, a command's output — not to an assumption inherited from a specialist's summary. If a specialist's finding can't be traced to evidence, re-verify it before it goes in the report or drop it.\n\n   Gather these sections for the report:\n   - **System map**: Architecture diagram (text-based), tech stack summary, key dependencies\n   - **Risk assessment**: Top 10 risks ranked by likelihood x impact\n   - **Technical debt inventory**: Categorized by severity and effort to fix\n   - **Quick wins**: Things to fix in week 1 that reduce risk or improve confidence\n   - **Roadmap recommendation**: Suggested first 30\u002F60\u002F90 day priorities\n   - **\"Don't touch\" list**: Things that work and should not be changed without good reason — the load-bearing walls of the system\n\n   **Delivery:** Invoke `\u002Fatlas-report` with the full synthesized findings. The HTML report is the output. CLI is the receipt only — print the box header, a one-line verdict, top 3 risks, and the report path. Nothing else in CLI.\n",{"name":5,"tags":52,"author":53,"license":15,"version":54,"description":7,"allowed-tools":55,"compatibility":56},[44,37,24],"tonone-ai \u003Chello@tonone.ai>","0.6.4","Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion","Designed for Claude Code","main","d5998d31415790d88781b1eebf9bd0694f7c5d93","skills\u002Fapex-takeover",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":68,"prompt":78,"zipAvailable":79},[69,72,75],{"tool":70,"command":71},"npx","npx skills add tonone-ai\u002Ftonone --skill apex-takeover",{"tool":73,"command":74},"bunx","bunx skills add tonone-ai\u002Ftonone --skill apex-takeover",{"tool":76,"command":77},"pnpm","pnpm dlx skills add tonone-ai\u002Ftonone --skill apex-takeover","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fapex-takeover\u002FSKILL.md",true,[],[82,90,97,102,107,114],{"skillNo":83,"name":84,"nameZh":6,"description":85,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":86,"categories":87,"keywords":88,"publishedAt":89},"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":91,"name":92,"nameZh":6,"description":93,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":94,"categories":95,"keywords":96,"publishedAt":89},"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":98,"name":84,"nameZh":6,"description":85,"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":89},"01M72PDNJ3NS66X4QZ6AM5BG91","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],{"skillNo":103,"name":92,"nameZh":6,"description":93,"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":89},"01M72NV58FG71X4Y7H8E6W721A","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fapex-second-opinion\u002FSKILL.md",[],[],{"skillNo":108,"name":109,"nameZh":6,"description":110,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":111,"categories":112,"keywords":113,"publishedAt":89},"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":115,"name":116,"nameZh":6,"description":117,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":118,"categories":119,"keywords":120,"publishedAt":89},"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",[],[]]