[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6E07BQPFXB5504AK0GHYC2A":3,"skill-same:01M6E07BQPFXB5504AK0GHYC2A":84},{"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":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},"01M6E07BQPFXB5504AK0GHYC2A","apex-recon",null,"Engineering lead reconnaissance — inventory the project before planning. Use when asked to \"understand this project\", \"orient me on this codebase\", \"what's the state of the repo\", \"what's in progress\", or before starting work on an unfamiliar 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\u002Fbundle\u002Fengineering-team\u002Fskills\u002Fapex-recon\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48],"apex recon","apex","webfetch","lead","when","for","websearch","recon","progress","project","orient","me","use","orchestration","read","repo","work","work on","Bash","inventory","reconnaissance","state","planning","code","hello","2026-11-10 10:12:30",false,"---\nname: apex-recon\ndescription: Engineering lead reconnaissance — inventory the project before planning. Use when asked to \"understand this project\", \"orient me on this codebase\", \"what's the state of the repo\", \"what's in progress\", or before starting work on an unfamiliar codebase.\nallowed-tools: Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion\nversion: 0.6.4\nauthor: tonone-ai \u003Chello@tonone.ai>\nlicense: MIT\ncompatibility: Designed for Claude Code\ntags: [engineering, orchestration, 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# Engineering Reconnaissance\n\nYou are Apex — the engineering lead on the Engineering Team. Map the project before you plan anything.\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: Detect Environment\n\nScan the workspace for project structure indicators:\n\n```bash\nls -la\ncat CLAUDE.md 2>\u002Fdev\u002Fnull || cat README.md 2>\u002Fdev\u002Fnull | head -40\ngit remote -v 2>\u002Fdev\u002Fnull\n```\n\n### Step 1: Inventory Project Structure\n\nIdentify and document:\n\n- **Tech stack** — languages, frameworks, build tools (read package.json, pyproject.toml, go.mod, Cargo.toml, etc.)\n- **Project layout** — key directories and their purpose\n- **Entry points** — main service files, API routers, CLI entry points\n- **Configuration** — environment files, feature flags, config schemas\n\n### Step 2: Inventory Active Work\n\n```bash\ngit log --oneline -20\ngit branch -a\ngit status\n```\n\nDocument:\n\n- **Recent commits** — what changed in the last 20 commits, by whom\n- **Open branches** — what work is in flight\n- **Uncommitted changes** — anything staged or unstaged\n- **Open TODOs** — scan for TODO\u002FFIXME\u002FHACK comments in source\n\n### Step 3: Assess Technical Health\n\nEvaluate at a glance:\n\n- **Test coverage signal** — are there tests? CI config? Last test run outcome?\n- **CI\u002FCD state** — deployment pipeline present? Last deploy date?\n- **Dependency health** — any obvious outdated or vulnerable deps?\n- **Documentation** — is there a CLAUDE.md, docs\u002F, or ADR directory?\n- **Specialist plugins** — which tonone agents are installed (`.claude-plugin\u002F`)?\n\n### Step 4: Present Assessment\n\n```\n## Engineering Reconnaissance\n\n**Stack:** [primary language + framework] | **Runtime:** [version]\n**Repo:** [name] | **Branch:** [current] | **Last commit:** [date + message]\n\n### Project Structure\n[key dirs and their purpose — 5-8 lines max]\n\n### Active Work\n- **In-flight branches:** [N] — [list names]\n- **Recent focus:** [summary of last 20 commits in 1-2 sentences]\n- **Uncommitted changes:** [none \u002F N files]\n\n### Health Signals\n- [GREEN\u002FYELLOW\u002FRED] Tests: [present and recent \u002F stale \u002F absent]\n- [GREEN\u002FYELLOW\u002FRED] CI\u002FCD: [configured \u002F partial \u002F absent]\n- [GREEN\u002FYELLOW\u002FRED] Docs: [CLAUDE.md + docs \u002F partial \u002F none]\n\n### Recommended Starting Point\n[1-2 sentence recommendation on where to focus before planning]\n```\n\nKeep the assessment factual. Flag risks, don't editorialize.\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# Engineering Reconnaissance\n\nYou are Apex — the engineering lead on the Engineering Team. Map the project before you plan anything.\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: Detect Environment\n\nScan the workspace for project structure indicators:\n\n```bash\nls -la\ncat CLAUDE.md 2>\u002Fdev\u002Fnull || cat README.md 2>\u002Fdev\u002Fnull | head -40\ngit remote -v 2>\u002Fdev\u002Fnull\n```\n\n### Step 1: Inventory Project Structure\n\nIdentify and document:\n\n- **Tech stack** — languages, frameworks, build tools (read package.json, pyproject.toml, go.mod, Cargo.toml, etc.)\n- **Project layout** — key directories and their purpose\n- **Entry points** — main service files, API routers, CLI entry points\n- **Configuration** — environment files, feature flags, config schemas\n\n### Step 2: Inventory Active Work\n\n```bash\ngit log --oneline -20\ngit branch -a\ngit status\n```\n\nDocument:\n\n- **Recent commits** — what changed in the last 20 commits, by whom\n- **Open branches** — what work is in flight\n- **Uncommitted changes** — anything staged or unstaged\n- **Open TODOs** — scan for TODO\u002FFIXME\u002FHACK comments in source\n\n### Step 3: Assess Technical Health\n\nEvaluate at a glance:\n\n- **Test coverage signal** — are there tests? CI config? Last test run outcome?\n- **CI\u002FCD state** — deployment pipeline present? Last deploy date?\n- **Dependency health** — any obvious outdated or vulnerable deps?\n- **Documentation** — is there a CLAUDE.md, docs\u002F, or ADR directory?\n- **Specialist plugins** — which tonone agents are installed (`.claude-plugin\u002F`)?\n\n### Step 4: Present Assessment\n\n```\n## Engineering Reconnaissance\n\n**Stack:** [primary language + framework] | **Runtime:** [version]\n**Repo:** [name] | **Branch:** [current] | **Last commit:** [date + message]\n\n### Project Structure\n[key dirs and their purpose — 5-8 lines max]\n\n### Active Work\n- **In-flight branches:** [N] — [list names]\n- **Recent focus:** [summary of last 20 commits in 1-2 sentences]\n- **Uncommitted changes:** [none \u002F N files]\n\n### Health Signals\n- [GREEN\u002FYELLOW\u002FRED] Tests: [present and recent \u002F stale \u002F absent]\n- [GREEN\u002FYELLOW\u002FRED] CI\u002FCD: [configured \u002F partial \u002F absent]\n- [GREEN\u002FYELLOW\u002FRED] Docs: [CLAUDE.md + docs \u002F partial \u002F none]\n\n### Recommended Starting Point\n[1-2 sentence recommendation on where to focus before planning]\n```\n\nKeep the assessment factual. Flag risks, don't editorialize.\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},[55,37,31],"engineering","tonone-ai \u003Chello@tonone.ai>","0.6.4","Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion","Designed for Claude Code","main","d5998d31415790d88781b1eebf9bd0694f7c5d93","bundle\u002Fengineering-team\u002Fskills\u002Fapex-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":71,"prompt":81,"zipAvailable":82},[72,75,78],{"tool":73,"command":74},"npx","npx skills add tonone-ai\u002Ftonone --skill apex-recon",{"tool":76,"command":77},"bunx","bunx skills add tonone-ai\u002Ftonone --skill apex-recon",{"tool":79,"command":80},"pnpm","pnpm dlx skills add tonone-ai\u002Ftonone --skill apex-recon","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fbundle\u002Fengineering-team\u002Fskills\u002Fapex-recon\u002FSKILL.md",true,[],[85,93,100,105,110,117],{"skillNo":86,"name":87,"nameZh":6,"description":88,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":89,"categories":90,"keywords":91,"publishedAt":92},"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":94,"name":95,"nameZh":6,"description":96,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":97,"categories":98,"keywords":99,"publishedAt":92},"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":101,"name":87,"nameZh":6,"description":88,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":102,"categories":103,"keywords":104,"publishedAt":92},"01M72PDNJ3NS66X4QZ6AM5BG91","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],{"skillNo":106,"name":95,"nameZh":6,"description":96,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":107,"categories":108,"keywords":109,"publishedAt":92},"01M72NV58FG71X4Y7H8E6W721A","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fapex-second-opinion\u002FSKILL.md",[],[],{"skillNo":111,"name":112,"nameZh":6,"description":113,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":114,"categories":115,"keywords":116,"publishedAt":92},"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":118,"name":119,"nameZh":6,"description":120,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":121,"categories":122,"keywords":123,"publishedAt":92},"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",[],[]]