[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71JK27AX4XJYN915BYTE9MS":3,"skill-same:01M71JK27AX4XJYN915BYTE9MS":70},{"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":18,"publishedAt":35,"linkOnly":36,"markdownContent":37,"markdownBody":38,"frontMatter":39,"refName":42,"commitSha":43,"skillDirectory":5,"forksCount":44,"repositoryHtmlUrl":45,"repositoryHomepageUrl":46,"ownerHtmlUrl":47,"ownerBlogUrl":48,"ownerDescription":49,"updatedAt":50,"install":51,"resources":63},"01M71JK27AX4XJYN915BYTE9MS","loop-me",null,"Grill me about specs for the workflows I want to build, within this workspace.","caezium\u002Fskills","caezium","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F113233555?v=4","01M71JB77ZPBAWEK009Y2W8BP7","Henry Zhang","01M71JB792NVXCWSYD27HQ0964",3,"MIT","https:\u002F\u002Fgithub.com\u002Fcaezium\u002Fskills\u002Fblob\u002Fmain\u002Floop-me\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34],"me","loop","loop me","grill","build","for","find","about","workspace","true","design","go","workflows","workflow","grill me","one","2026-11-10 10:12:30",false,"---\nname: loop-me\ndescription: Grill me about specs for the workflows I want to build, within this workspace.\ndisable-model-invocation: true\nargument-hint: \"A workflow to design, or nothing to go find one\"\n---\n\nRun a stateful `\u002Fgrilling` session whose only output is **workflow** specs. Use the grilling discipline (relentless, a round of questions at a time, a recommended answer attached to each) aimed at the vocabulary and goal below. Create, edit, and delete specs as the grilling resolves things.\n\n## The loop lens\n\nA **loop** is a recurring pattern in the user's life: their career, their week, their morning, a single repeated activity. Picturing a life as loops within loops reveals how predictable its activities really are, which is what makes them worth **delegating**. Use the lens to find loops worth specifying, and propose ones the user hasn't noticed.\n\nA **workflow** is the spec of one loop, made real. You run a workflow on a loop: the loop is its running instantiation. Workflows live in `workflows\u002F*.md` and are the source of truth.\n\n## Vocabulary\n\nA shared language, reached for only when a workflow calls for it: never a checklist. **Mandate nothing structural**: a workflow needs no AI, no checkpoint, and no schedule unless the grilling shows it does.\n\n- **Trigger**: what fires each run, an **event** (a new email, a new issue) or a **schedule** (every morning). Event-triggering is usually the more efficient.\n- **Checkpoint**: a human-in-the-loop point where the user is asked to verify or decide. Some workflows have none and run autonomously; some use no AI at all.\n- **Push right**: defer the checkpoint as far as it will go. Do maximal work before involving the human, so they are asked once, late, with everything prepared.\n- **Brief**: what a checkpoint presents, a tight, decision-ready summary (what was produced, why, and a link down to the asset itself), never the raw output. The user reads a brief, not a draft. Speed of review is imperative.\n\n## Definition of done\n\nA workflow spec is done when an implementer agent could build it without asking a single question. Grill until then; nothing is done while a question remains.\n\n## The workspace\n\n- `workflows\u002F*.md`: one spec per workflow.\n- `NOTES.md`: raw notes on the user's world, the tools they use, the channels they process, and their own terminology for both. When it is empty or thin, interview them about their world before specifying anything. Sharpen fuzzy terms into canonical ones as they surface, and record them here.\n","Run a stateful `\u002Fgrilling` session whose only output is **workflow** specs. Use the grilling discipline (relentless, a round of questions at a time, a recommended answer attached to each) aimed at the vocabulary and goal below. Create, edit, and delete specs as the grilling resolves things.\n\n## The loop lens\n\nA **loop** is a recurring pattern in the user's life: their career, their week, their morning, a single repeated activity. Picturing a life as loops within loops reveals how predictable its activities really are, which is what makes them worth **delegating**. Use the lens to find loops worth specifying, and propose ones the user hasn't noticed.\n\nA **workflow** is the spec of one loop, made real. You run a workflow on a loop: the loop is its running instantiation. Workflows live in `workflows\u002F*.md` and are the source of truth.\n\n## Vocabulary\n\nA shared language, reached for only when a workflow calls for it: never a checklist. **Mandate nothing structural**: a workflow needs no AI, no checkpoint, and no schedule unless the grilling shows it does.\n\n- **Trigger**: what fires each run, an **event** (a new email, a new issue) or a **schedule** (every morning). Event-triggering is usually the more efficient.\n- **Checkpoint**: a human-in-the-loop point where the user is asked to verify or decide. Some workflows have none and run autonomously; some use no AI at all.\n- **Push right**: defer the checkpoint as far as it will go. Do maximal work before involving the human, so they are asked once, late, with everything prepared.\n- **Brief**: what a checkpoint presents, a tight, decision-ready summary (what was produced, why, and a link down to the asset itself), never the raw output. The user reads a brief, not a draft. Speed of review is imperative.\n\n## Definition of done\n\nA workflow spec is done when an implementer agent could build it without asking a single question. Grill until then; nothing is done while a question remains.\n\n## The workspace\n\n- `workflows\u002F*.md`: one spec per workflow.\n- `NOTES.md`: raw notes on the user's world, the tools they use, the channels they process, and their own terminology for both. When it is empty or thin, interview them about their world before specifying anything. Sharpen fuzzy terms into canonical ones as they surface, and record them here.\n",{"name":5,"description":7,"argument-hint":40,"disable-model-invocation":41},"A workflow to design, or nothing to go find one",true,"main","6ef866230c1ba3459fd08fc65141dfd37fffd41a",0,"https:\u002F\u002Fgithub.com\u002Fcaezium\u002Fskills","https:\u002F\u002Fskills.henryzh.dev","https:\u002F\u002Fgithub.com\u002Fcaezium","henryzh.dev","quant, data science, full-stack, robotics.\r\nbuilding cool stuff","2026-08-24 19:21:44",{"source":8,"skillName":5,"commands":52,"prompt":62,"zipAvailable":41},[53,56,59],{"tool":54,"command":55},"npx","npx skills add caezium\u002Fskills --skill loop-me",{"tool":57,"command":58},"bunx","bunx skills add caezium\u002Fskills --skill loop-me",{"tool":60,"command":61},"pnpm","pnpm dlx skills add caezium\u002Fskills --skill loop-me","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcaezium\u002Fskills\u002Fblob\u002Fmain\u002Floop-me\u002FSKILL.md",[64],{"path":65,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":68,"sourceHtmlUrl":69},"agents\u002Fopenai.yaml","REFERENCE","参考文档",140,"https:\u002F\u002Fgithub.com\u002Fcaezium\u002Fskills\u002Fblob\u002Fmain\u002Floop-me\u002Fagents\u002Fopenai.yaml",[71,94,121,139,159,180],{"skillNo":72,"name":73,"nameZh":6,"description":74,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":75,"categories":76,"keywords":87,"publishedAt":35},"01M71JT4RYCAS18RF6003YYR1D","writing-for-agents","Writing documents for agents. Use when creating or editing skills, or modifying AGENTS.md or CLAUDE.md.","https:\u002F\u002Fgithub.com\u002Fcaezium\u002Fskills\u002Fblob\u002Fmain\u002Fwriting-for-agents\u002FSKILL.md",[77,82],{"categoryNo":78,"categoryName":79,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000018","写作与文案","SCENARIO","使用场景",{"categoryNo":83,"categoryName":84,"taxonomyType":85,"taxonomyTypeDesc":86},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[88,24,89,90,91,92,93],"writing for agents","writing","editing","use","documents","when",{"skillNo":95,"name":96,"nameZh":6,"description":97,"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":103,"publishedAt":35},"01M71JT0GES4AZ5ADH8EADNN1Z","wrangler","Cloudflare Workers CLI for deploying, developing, and managing Workers, KV, R2, D1, Vectorize, Hyperdrive, Workers AI, Containers, Queues, Workflows, Pipelines, and Secrets Store. Load before running wrangler commands to ensure correct syntax and best practices. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.","https:\u002F\u002Fgithub.com\u002Fcaezium\u002Fskills\u002Fblob\u002Fmain\u002Fwrangler\u002FSKILL.md",[100],{"categoryNo":101,"categoryName":102,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000010","后端与接口",[96,104,105,106,31,107,108,109,110,111,112,113,114,24,115,116,117,118,119,120],"cloudflare","d1","knowledge","cli","secrets","commands","syntax","cloudflare workers","r2","queues","running","containers","correct","load","workers","best practices","store",{"skillNo":122,"name":123,"nameZh":6,"description":124,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":125,"categories":126,"keywords":127,"publishedAt":35},"01M71JSWX4R203M32K9A18AAW8","workers-best-practices","Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). Biases towards retrieval from Cloudflare docs over pre-trained knowledge.","https:\u002F\u002Fgithub.com\u002Fcaezium\u002Fskills\u002Fblob\u002Fmain\u002Fworkers-best-practices\u002FSKILL.md",[],[128,118,119,129,130,131,24,104,132,106,133,96,89,117,93,134,135,136,137,138],"workers best practices","observability","reviews","promises","worker","new","code","common","streaming","state","anti-patterns",{"skillNo":140,"name":141,"nameZh":6,"description":142,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":143,"categories":144,"keywords":145,"publishedAt":35},"01M71JST6P88MXGT2MWDTPJGEG","wizard","Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.","https:\u002F\u002Fgithub.com\u002Fcaezium\u002Fskills\u002Fblob\u002Fmain\u002Fwizard\u002FSKILL.md",[],[141,114,146,24,147,148,149,150,91,151,93,152,34,153,154,155,156,157,158,108],"setting","up","ci","provisioning infrastructure","only","invoke","Bash","interactive","can","credentials","dashboard","generate","human",{"skillNo":160,"name":161,"nameZh":6,"description":162,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":163,"sourceHtmlUrl":164,"categories":165,"keywords":166,"publishedAt":35},"01M71JSQ95S7BQ61DAPN95X2W4","why","Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available evidence sources, searches each relevant category, and returns a cited read on decisions and tradeoffs. Use how for runtime behavior.","https:\u002F\u002Fgithub.com\u002Fcaezium\u002Fskills\u002Fblob\u002Fmain\u002Fwhy\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fcaezium\u002Fskills\u002Fblob\u002Fmain\u002Fwhy\u002FSKILL.md",[],[161,167,168,169,170,24,171,29,91,172,173,174,175,176,177,178,179],"sources","thresholds","evidence","relevant","runtime","decisions","work","how","behavior","read","data","rationale","returns",{"skillNo":181,"name":182,"nameZh":6,"description":183,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":184,"categories":185,"keywords":189,"publishedAt":35},"01M71JSMHFVSH8HK8GXN6YAX6J","week-prep","Generate a briefing with calendar, tasks, and attention flags. Use for \"week prep\", \"briefing\", or \"what's on this week\".","https:\u002F\u002Fgithub.com\u002Fcaezium\u002Fskills\u002Fblob\u002Fmain\u002Fweek-prep\u002FSKILL.md",[186],{"categoryNo":187,"categoryName":188,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000023","Skill与智能体开发",[190,191,192,193,194,24,195,196,197,198,91,152,199,200,201,157,202,176,203,204],"week prep","prep","deep","attention","get","search","messages","briefing","MCP","tasks","with","slack","calendar","flags","grep"]