[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6GT6JCZPRNCDKS2QYTNWAGC":3,"skill-same:01M6GT6JCZPRNCDKS2QYTNWAGC":63},{"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":40,"commitSha":41,"skillDirectory":42,"forksCount":43,"repositoryHtmlUrl":44,"repositoryHomepageUrl":6,"ownerHtmlUrl":45,"ownerBlogUrl":46,"ownerDescription":47,"updatedAt":48,"install":49,"resources":62},"01M6GT6JCZPRNCDKS2QYTNWAGC","subagent-grilling",null,"Grill a strong-model subagent down a plan's whole design tree in the user's place, escalating only what needs the user. Use when the user wants a stronger model to answer a plan's design questions.","ian-pascoe\u002Fdotfiles","ian-pascoe","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F122142608?v=4","01M6GSZBDQ0HT39DH8XZS6TPJ3","Ian Pascoe","01M6GSZBJ2CD0C1K3688C2RFEJ",2,"MIT","https:\u002F\u002Fgithub.com\u002Fian-pascoe\u002Fdotfiles\u002Fblob\u002Fmain\u002Fdot_agents\u002Fskills\u002Fsubagent-grilling\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34],"grilling","subagent","subagent grilling","design","plan","model","user","use","only","design tree","grill","questions","answer","tree","down","when","2026-11-10 10:12:30",false,"---\nname: subagent-grilling\ndescription: Grill a strong-model subagent down a plan's whole design tree in the user's place, escalating only what needs the user. Use when the user wants a stronger model to answer a plan's design questions.\n---\n\nRun the `grilling` skill with a subagent, the **interviewee**, in the user's seat: you ask, it answers. A strong model makes the calls, you keep the interview relentless, and the user hears only what the `escalating-to-user` skill escalates. Both skills hold except where this skill overrides them.\n\n## Confirm the interviewee's model\n\nBefore spawning, confirm the interviewee's model with the user, unless they already named one or the harness offers no choice. List the available models or configured roles, recommend the strongest at design reasoning with high effort, and word the question so \"yes\" accepts. Spawn nothing until they answer.\n\n## Brief the interviewee\n\nSpawn a persistent subagent you can send round after round. It shares none of your context, so the brief carries:\n\n- The goal and the plan as it stands, with the decisions and constraints the user has already settled.\n- Paths to the files, docs, and code it bears on.\n- Its role: answering a design interview on the user's behalf under the `escalating-to-user` skill. Answer every question in a round, numbered to match, with a decision, a one-line why, and the strongest alternative rejected. Flag an answer that passes the escalation tests as **ESCALATE**, keeping its recommendation. Flag an answer whose load-bearing decision rests on a public fact as **RESEARCH**, naming the fact it assumed and leaving the lookup to the asker.\n\n## Run the rounds\n\nSend each round to the interviewee in place of the user. Challenge an answer that is thin or clashes with what the user has said; the challenge joins the next round.\n\nSettle each **RESEARCH** flag, and any public fact you spot a load-bearing decision resting on, with the `research` skill, and put its findings to the interviewee in the next round; the findings file is the decision's artifact.\n\nThe escalation call is yours, since you hold the user's context: run each answer through `escalating-to-user`'s tests, whether flagged or not. An escalated answer becomes your provisional recommendation; tell the interviewee it is provisional.\n\n## Present the ledger\n\nWhen the frontier is empty, every node is decided or escalated. Present the ledger with the design tree as its decisions. Send the user's answers and overrides to the interviewee as settled, and reopen the subtrees they change in new rounds.\n","Run the `grilling` skill with a subagent, the **interviewee**, in the user's seat: you ask, it answers. A strong model makes the calls, you keep the interview relentless, and the user hears only what the `escalating-to-user` skill escalates. Both skills hold except where this skill overrides them.\n\n## Confirm the interviewee's model\n\nBefore spawning, confirm the interviewee's model with the user, unless they already named one or the harness offers no choice. List the available models or configured roles, recommend the strongest at design reasoning with high effort, and word the question so \"yes\" accepts. Spawn nothing until they answer.\n\n## Brief the interviewee\n\nSpawn a persistent subagent you can send round after round. It shares none of your context, so the brief carries:\n\n- The goal and the plan as it stands, with the decisions and constraints the user has already settled.\n- Paths to the files, docs, and code it bears on.\n- Its role: answering a design interview on the user's behalf under the `escalating-to-user` skill. Answer every question in a round, numbered to match, with a decision, a one-line why, and the strongest alternative rejected. Flag an answer that passes the escalation tests as **ESCALATE**, keeping its recommendation. Flag an answer whose load-bearing decision rests on a public fact as **RESEARCH**, naming the fact it assumed and leaving the lookup to the asker.\n\n## Run the rounds\n\nSend each round to the interviewee in place of the user. Challenge an answer that is thin or clashes with what the user has said; the challenge joins the next round.\n\nSettle each **RESEARCH** flag, and any public fact you spot a load-bearing decision resting on, with the `research` skill, and put its findings to the interviewee in the next round; the findings file is the decision's artifact.\n\nThe escalation call is yours, since you hold the user's context: run each answer through `escalating-to-user`'s tests, whether flagged or not. An escalated answer becomes your provisional recommendation; tell the interviewee it is provisional.\n\n## Present the ledger\n\nWhen the frontier is empty, every node is decided or escalated. Present the ledger with the design tree as its decisions. Send the user's answers and overrides to the interviewee as settled, and reopen the subtrees they change in new rounds.\n",{"name":5,"description":7},"main","0ec6b9655178be08917ba665f24911e512002c73","dot_agents\u002Fskills\u002Fsubagent-grilling",0,"https:\u002F\u002Fgithub.com\u002Fian-pascoe\u002Fdotfiles","https:\u002F\u002Fgithub.com\u002Fian-pascoe","spiritledsoftware.com","Jacksonville, FL · Full-stack & AI-agent tooling · Spirit-Led Software · clerk-solidjs · Caplets","2026-11-13 03:09:29",{"source":8,"skillName":5,"commands":50,"prompt":60,"zipAvailable":61},[51,54,57],{"tool":52,"command":53},"npx","npx skills add ian-pascoe\u002Fdotfiles --skill subagent-grilling",{"tool":55,"command":56},"bunx","bunx skills add ian-pascoe\u002Fdotfiles --skill subagent-grilling",{"tool":58,"command":59},"pnpm","pnpm dlx skills add ian-pascoe\u002Fdotfiles --skill subagent-grilling","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fian-pascoe\u002Fdotfiles\u002Fblob\u002Fmain\u002Fdot_agents\u002Fskills\u002Fsubagent-grilling\u002FSKILL.md",true,[],[64,101,121,145,170,186],{"skillNo":65,"name":66,"nameZh":6,"description":67,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":68,"categories":69,"keywords":78,"publishedAt":35},"01M6HP2303VY6W6MNP8Z3AQRAX","agent-browser","Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to \"open a website\", \"fill out a form\", \"click a button\", \"take a screenshot\", \"scrape data from a page\", \"test this web app\", \"login to a site\", \"automate browser actions\", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.","https:\u002F\u002Fgithub.com\u002Fian-pascoe\u002Fdotfiles\u002Fblob\u002Fmain\u002Fdot_agents\u002Fskills\u002Fagent-browser\u002FSKILL.md",[70,75],{"categoryNo":71,"categoryName":72,"taxonomyType":73,"taxonomyTypeDesc":74},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":76,"categoryName":77,"taxonomyType":73,"taxonomyTypeDesc":74},"01JBSEEDCAT000000000000023","Skill与智能体开发",[79,80,81,82,83,84,66,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100],"browser","agent browser","web tools","programmatic","slack messages","exploratory testing","discord","Bash","apps","qa","bedrock","open","testing","app","browser automation","messages","actions","notion","conversations","extracting","figma","click",{"skillNo":102,"name":103,"nameZh":6,"description":104,"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":115,"publishedAt":35},"01M6GT848K41AFQJAW9VVX1HQ8","writing-for-agents","Writing documents for agents. Use when creating or editing skills, or modifying AGENTS.md or CLAUDE.md.","https:\u002F\u002Fgithub.com\u002Fian-pascoe\u002Fdotfiles\u002Fblob\u002Fmain\u002Fdot_agents\u002Fskills\u002Fwriting-for-agents\u002FSKILL.md",[107,110],{"categoryNo":108,"categoryName":109,"taxonomyType":73,"taxonomyTypeDesc":74},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":111,"categoryName":112,"taxonomyType":113,"taxonomyTypeDesc":114},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[116,117,118,34,119,120,26],"for","writing for agents","writing","editing","documents",{"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},"01M6GT80DBGR6AMGJPK4S8RFMH","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\u002Fian-pascoe\u002Fdotfiles\u002Fblob\u002Fmain\u002Fdot_agents\u002Fskills\u002Fwizard\u002FSKILL.md",[],[123,34,128,129,116,130,131,132,133,134,135,136,137,138,139,140,86,26,27,141,142,143,144],"party","invoke","running","infrastructure","third-party","provisioning","migration","secrets","human","credentials","dashboard","can","interactive","provisioning infrastructure","ci","up","generate",{"skillNo":146,"name":147,"nameZh":6,"description":148,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":149,"categories":150,"keywords":151,"publishedAt":35},"01M6GT7WTZMRN5FZX4SWMWNS3A","wayfinder","Plan a huge chunk of work (more than one agent session can hold) as a shared map of decision tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.","https:\u002F\u002Fgithub.com\u002Fian-pascoe\u002Fdotfiles\u002Fblob\u002Fmain\u002Fdot_agents\u002Fskills\u002Fwayfinder\u002FSKILL.md",[],[147,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,23,169,139],"map","more","true","decision","session","time","chunk","as","shared","one at a time","agent session","issue tracker","issue","clear","at","tickets","tracker","work",{"skillNo":171,"name":172,"nameZh":6,"description":173,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":174,"categories":175,"keywords":176,"publishedAt":35},"01M6GT7SEP7TD1K1SDJDXQACKF","wait-what","Stop. That last message did not land: re-pitch it.","https:\u002F\u002Fgithub.com\u002Fian-pascoe\u002Fdotfiles\u002Fblob\u002Fmain\u002Fdot_agents\u002Fskills\u002Fwait-what\u002FSKILL.md",[],[177,178,179,180,181,182,183,184,154,185],"wait what","wait","it","stop","land","re","pitch","message","last",{"skillNo":187,"name":188,"nameZh":6,"description":189,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":190,"categories":191,"keywords":192,"publishedAt":35},"01M6GT7CWQC5PVT70A1PGGVPDT","unslop","Cut AI tells from any writing.","https:\u002F\u002Fgithub.com\u002Fian-pascoe\u002Fdotfiles\u002Fblob\u002Fmain\u002Fdot_agents\u002Fskills\u002Funslop\u002FSKILL.md",[],[188,118,154,193],"cut"]