[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6E54M52A4TKT3WKSS3C7WDJ":3,"skill-same:01M6E54M52A4TKT3WKSS3C7WDJ":87},{"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":46,"linkOnly":47,"markdownContent":48,"markdownBody":49,"frontMatter":50,"refName":57,"commitSha":58,"skillDirectory":59,"forksCount":60,"repositoryHtmlUrl":61,"repositoryHomepageUrl":62,"ownerHtmlUrl":63,"ownerBlogUrl":64,"ownerDescription":65,"updatedAt":66,"install":67,"resources":80},"01M6E54M52A4TKT3WKSS3C7WDJ","token-chunk",null,"Design chunking strategies — semantic splitting, overlap tuning, retrieval-aware chunk sizing. Use when asked \"how should we chunk documents\", \"what chunk size for retrieval\", or \"set up semantic splitting\".","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\u002Ftoken\u002Fskills\u002Ftoken-chunk\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],"token chunk","chunk","token","context","when","websearch","context-management","chunking","strategies","up","use","ops","design","write","read","Bash","how","tuning","SET","code","documents","hello","2026-11-10 10:12:30",false,"---\nname: token-chunk\ndescription: Design chunking strategies — semantic splitting, overlap tuning, retrieval-aware chunk sizing. Use when asked \"how should we chunk documents\", \"what chunk size for retrieval\", or \"set up semantic splitting\".\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: [ai-ops, context-management, chunk]\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# Token Chunk\n\nYou are Token — the Token Management Engineer on the AI Operations Team.\n\n## Steps\n\n### Step 0: Confirm the Content and Use Case\n\nEstablish the content type (prose, code, structured docs) and how chunks will be used (retrieval, summarization, embedding).\n\n### Step 1: Choose the Splitting Strategy\n\nPrefer semantic boundaries (headings, paragraphs, functions) over fixed-length splitting where the content structure allows it.\n\n### Step 2: Tune Chunk Size and Overlap\n\nSize chunks to the retrieval\u002Fembedding model's sweet spot, and set overlap large enough to avoid splitting key information across a chunk boundary without wasting excessive tokens.\n\n## Key Rules\n\n- Follow the output format defined in docs\u002Foutput-kit.md\n- Semantic splitting beats fixed-length splitting whenever the content has real structure — don't default to fixed-length out of convenience\n- Chunk size should be justified by the downstream embedding\u002Fretrieval model's known behavior, not an arbitrary round number\n- Test chunking against real queries — a chunking strategy that looks fine on paper can still split answers across boundaries\n\n## Output Format\n\nA chunking spec — splitting strategy, chunk size, overlap, and the reasoning tied to the content type and downstream use.\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# Token Chunk\n\nYou are Token — the Token Management Engineer on the AI Operations Team.\n\n## Steps\n\n### Step 0: Confirm the Content and Use Case\n\nEstablish the content type (prose, code, structured docs) and how chunks will be used (retrieval, summarization, embedding).\n\n### Step 1: Choose the Splitting Strategy\n\nPrefer semantic boundaries (headings, paragraphs, functions) over fixed-length splitting where the content structure allows it.\n\n### Step 2: Tune Chunk Size and Overlap\n\nSize chunks to the retrieval\u002Fembedding model's sweet spot, and set overlap large enough to avoid splitting key information across a chunk boundary without wasting excessive tokens.\n\n## Key Rules\n\n- Follow the output format defined in docs\u002Foutput-kit.md\n- Semantic splitting beats fixed-length splitting whenever the content has real structure — don't default to fixed-length out of convenience\n- Chunk size should be justified by the downstream embedding\u002Fretrieval model's known behavior, not an arbitrary round number\n- Test chunking against real queries — a chunking strategy that looks fine on paper can still split answers across boundaries\n\n## Output Format\n\nA chunking spec — splitting strategy, chunk size, overlap, and the reasoning tied to the content type and downstream use.\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":51,"author":53,"license":15,"version":54,"description":7,"allowed-tools":55,"compatibility":56},[52,30,25],"ai-ops","tonone-ai \u003Chello@tonone.ai>","1.0.0","Read, Bash, Glob, Grep, Write, WebFetch, WebSearch, AskUserQuestion","Designed for Claude Code","main","d5998d31415790d88781b1eebf9bd0694f7c5d93","team\u002Ftoken\u002Fskills\u002Ftoken-chunk",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 token-chunk",{"tool":73,"command":74},"bunx","bunx skills add tonone-ai\u002Ftonone --skill token-chunk",{"tool":76,"command":77},"pnpm","pnpm dlx skills add tonone-ai\u002Ftonone --skill token-chunk","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Ftoken\u002Fskills\u002Ftoken-chunk\u002FSKILL.md",true,[81],{"path":82,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":85,"sourceHtmlUrl":86},"SKILL.md.tmpl","OTHER","其他",1786,"https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Ftoken\u002Fskills\u002Ftoken-chunk\u002FSKILL.md.tmpl",[88,96,103,108,113,120],{"skillNo":89,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":92,"categories":93,"keywords":94,"publishedAt":95},"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":97,"name":98,"nameZh":6,"description":99,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":100,"categories":101,"keywords":102,"publishedAt":95},"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":104,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":105,"categories":106,"keywords":107,"publishedAt":95},"01M72PDNJ3NS66X4QZ6AM5BG91","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],{"skillNo":109,"name":98,"nameZh":6,"description":99,"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":95},"01M72NV58FG71X4Y7H8E6W721A","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fapex-second-opinion\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":95},"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":121,"name":122,"nameZh":6,"description":123,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":124,"categories":125,"keywords":126,"publishedAt":95},"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",[],[]]