[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6C1KTSDF1F74922D91J9K4K":3,"skill-same:01M6C1KTSDF1F74922D91J9K4K":90},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":32,"linkOnly":33,"markdownContent":34,"markdownBody":35,"frontMatter":36,"refName":42,"commitSha":43,"skillDirectory":44,"forksCount":13,"repositoryHtmlUrl":45,"repositoryHomepageUrl":6,"ownerHtmlUrl":46,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":47,"install":48,"resources":61},"01M6C1KTSDF1F74922D91J9K4K","grill-me",null,"Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions \"grill me\".","mne20114-hash\u002Fgest35bi","mne20114-hash","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F224168109?v=4","01M6C0JCR7334CZ39YWTZXX2NG","01M6C0JCWN0NBWMQTW1CPG2Z4G",0,"MIT","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fengineering\u002Fgrill-me\u002Fskills\u002Fgrill-me\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31],"grill me","design","github","test","https","productivity","first","plan","matt pocock","decision","branch","user","interview","use","2026-11-10 10:12:30",false,"---\nname: grill-me\ndescription: Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions \"grill me\".\nlicense: MIT\nmetadata:\n  derived_from: \"https:\u002F\u002Fgithub.com\u002Fmattpocock\u002Fskills\u002Ftree\u002Fmain\u002Fskills\u002Fproductivity\u002Fgrill-me\"\n  original_author: \"Matt Pocock (@mattpocock)\"\n  original_license: MIT\n  voice: \"Matt Pocock — relentless, one-at-a-time, explores-codebase-first\"\n  version: 1.0.0\n---\n\n# Grill Me\n\n> Derived from [Matt Pocock's grill-me](https:\u002F\u002Fgithub.com\u002Fmattpocock\u002Fskills\u002Ftree\u002Fmain\u002Fskills\u002Fproductivity\u002Fgrill-me) (MIT). Matt's interview discipline preserved verbatim. Additions: extraction + question + session tools + references + cs-* wrapper (see [references\u002Fcompanion_tooling.md](references\u002Fcompanion_tooling.md)).\n\nInterview me relentlessly about every aspect of this plan until we reach a shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer.\n\nAsk the questions one at a time.\n\nIf a question can be answered by exploring the codebase, explore the codebase instead.\n\n## Rules (preserved + amplified)\n\n1. **One question per turn.** Never bundle.\n2. **Provide a recommended answer with each question.** Defaulting to \"what do you think?\" is lazy.\n3. **Explore the codebase before asking.** If `grep` \u002F `Read` resolves it, do that first. Saves a turn.\n4. **Walk the tree depth-first.** Finish a branch before opening another.\n5. **Track dependencies.** If decision B depends on decision A, ask A first.\n\n## Workflow\n\n1. User provides a plan or design (or path to one).\n2. Run `scripts\u002Fdecision_tree_extractor.py` to extract branches.\n3. Run `scripts\u002Fquestion_generator.py` to produce the question list with recommendations.\n4. Start a session: `scripts\u002Fgrill_session_tracker.py --action start`.\n5. Walk the tree, one question at a time, recording answers in the session.\n6. When all branches resolved: report \"shared understanding reached\" + the locked-in decisions.\n\n## Output Pattern\n\nPer question turn:\n\n```\nQ[i]\u002F[total]: [question]\nRecommended answer: [your call + 1-sentence rationale]\n\n(Or: I explored the codebase and found [evidence]. Confirm?)\n```\n\n## Tooling\n\nSee [references\u002Fcompanion_tooling.md](references\u002Fcompanion_tooling.md). Tools: extractor + generator + tracker. Agent: `cs-grill-master`. Command: `\u002Fcs:grill-me`.\n\n---\n\n**Version:** 1.0.0\n**Derived:** Matt Pocock (MIT) + this repo's wrapper\n","# Grill Me\n\n> Derived from [Matt Pocock's grill-me](https:\u002F\u002Fgithub.com\u002Fmattpocock\u002Fskills\u002Ftree\u002Fmain\u002Fskills\u002Fproductivity\u002Fgrill-me) (MIT). Matt's interview discipline preserved verbatim. Additions: extraction + question + session tools + references + cs-* wrapper (see [references\u002Fcompanion_tooling.md](references\u002Fcompanion_tooling.md)).\n\nInterview me relentlessly about every aspect of this plan until we reach a shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer.\n\nAsk the questions one at a time.\n\nIf a question can be answered by exploring the codebase, explore the codebase instead.\n\n## Rules (preserved + amplified)\n\n1. **One question per turn.** Never bundle.\n2. **Provide a recommended answer with each question.** Defaulting to \"what do you think?\" is lazy.\n3. **Explore the codebase before asking.** If `grep` \u002F `Read` resolves it, do that first. Saves a turn.\n4. **Walk the tree depth-first.** Finish a branch before opening another.\n5. **Track dependencies.** If decision B depends on decision A, ask A first.\n\n## Workflow\n\n1. User provides a plan or design (or path to one).\n2. Run `scripts\u002Fdecision_tree_extractor.py` to extract branches.\n3. Run `scripts\u002Fquestion_generator.py` to produce the question list with recommendations.\n4. Start a session: `scripts\u002Fgrill_session_tracker.py --action start`.\n5. Walk the tree, one question at a time, recording answers in the session.\n6. When all branches resolved: report \"shared understanding reached\" + the locked-in decisions.\n\n## Output Pattern\n\nPer question turn:\n\n```\nQ[i]\u002F[total]: [question]\nRecommended answer: [your call + 1-sentence rationale]\n\n(Or: I explored the codebase and found [evidence]. Confirm?)\n```\n\n## Tooling\n\nSee [references\u002Fcompanion_tooling.md](references\u002Fcompanion_tooling.md). Tools: extractor + generator + tracker. Agent: `cs-grill-master`. Command: `\u002Fcs:grill-me`.\n\n---\n\n**Version:** 1.0.0\n**Derived:** Matt Pocock (MIT) + this repo's wrapper\n",{"name":5,"license":14,"metadata":37,"description":7},{"voice":38,"version":39,"derived_from":40,"original_author":41,"original_license":14},"Matt Pocock — relentless, one-at-a-time, explores-codebase-first","1.0.0","https:\u002F\u002Fgithub.com\u002Fmattpocock\u002Fskills\u002Ftree\u002Fmain\u002Fskills\u002Fproductivity\u002Fgrill-me","Matt Pocock (@mattpocock)","main","510dd2917e051cc953dc55f56fd6ef442aa01b38","claude-skills\u002Fengineering\u002Fgrill-me\u002Fskills\u002Fgrill-me","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi","https:\u002F\u002Fgithub.com\u002Fmne20114-hash","2026-10-28 07:50:31",{"source":8,"skillName":5,"commands":49,"prompt":59,"zipAvailable":60},[50,53,56],{"tool":51,"command":52},"npx","npx skills add mne20114-hash\u002Fgest35bi --skill grill-me",{"tool":54,"command":55},"bunx","bunx skills add mne20114-hash\u002Fgest35bi --skill grill-me",{"tool":57,"command":58},"pnpm","pnpm dlx skills add mne20114-hash\u002Fgest35bi --skill grill-me","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fengineering\u002Fgrill-me\u002Fskills\u002Fgrill-me\u002FSKILL.md",true,[62,68,72,76,82,86],{"path":63,"resourceType":64,"resourceTypeDesc":65,"sizeBytes":66,"sourceHtmlUrl":67},"references\u002Fcompanion_tooling.md","REFERENCE","参考文档",3268,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fengineering\u002Fgrill-me\u002Fskills\u002Fgrill-me\u002Freferences\u002Fcompanion_tooling.md",{"path":69,"resourceType":64,"resourceTypeDesc":65,"sizeBytes":70,"sourceHtmlUrl":71},"references\u002Fforcing_question_patterns.md",6786,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fengineering\u002Fgrill-me\u002Fskills\u002Fgrill-me\u002Freferences\u002Fforcing_question_patterns.md",{"path":73,"resourceType":64,"resourceTypeDesc":65,"sizeBytes":74,"sourceHtmlUrl":75},"references\u002Fwhen_to_stop_grilling.md",6633,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fengineering\u002Fgrill-me\u002Fskills\u002Fgrill-me\u002Freferences\u002Fwhen_to_stop_grilling.md",{"path":77,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":80,"sourceHtmlUrl":81},"scripts\u002Fdecision_tree_extractor.py","SCRIPT","脚本",4683,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fengineering\u002Fgrill-me\u002Fskills\u002Fgrill-me\u002Fscripts\u002Fdecision_tree_extractor.py",{"path":83,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":84,"sourceHtmlUrl":85},"scripts\u002Fgrill_session_tracker.py",8527,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fengineering\u002Fgrill-me\u002Fskills\u002Fgrill-me\u002Fscripts\u002Fgrill_session_tracker.py",{"path":87,"resourceType":78,"resourceTypeDesc":79,"sizeBytes":88,"sourceHtmlUrl":89},"scripts\u002Fquestion_generator.py",5543,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fengineering\u002Fgrill-me\u002Fskills\u002Fgrill-me\u002Fscripts\u002Fquestion_generator.py",[91,129,150,173,198,217],{"skillNo":92,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":110,"publishedAt":32},"01M6C27N3H0F9RGG2KASPASH04","syllabus","Generates a curated supplementary reading list from any course syllabus using Consensus academic search. Grill-me intake (syllabus input format + course audience + year range) plus a grouping forcing-options checkpoint before any search runs — so the reading list matches the course's level and recency need. Parses the syllabus to extract topics and learning outcomes, searches Consensus for recent peer-reviewed papers per topic, and produces a professionally formatted .docx with clickable Consensus links, plain-language summaries calibrated to audience level, and Bloom-higher-order discussion questions tied to course learning goals. Use when the user uploads a syllabus, course outline, or curriculum document and wants supplementary readings (e.g., 'create a reading list from this syllabus', 'find recent papers for my course') — even casual mentions with a syllabus attached should trigger this skill.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Fsyllabus\u002Fskills\u002Fsyllabus\u002FSKILL.md",[97,102,105],{"categoryNo":98,"categoryName":99,"taxonomyType":100,"taxonomyTypeDesc":101},"01JBSEEDCAT000000000000002","文档处理","SCENARIO","使用场景",{"categoryNo":103,"categoryName":104,"taxonomyType":100,"taxonomyTypeDesc":101},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":106,"categoryName":107,"taxonomyType":108,"taxonomyTypeDesc":109},"01JBSEEDCAT000000000000034","行政与办公人员","PROFESSION","适用职业",[93,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,31,128],"docx","pr","create","intake","search","audit","integrity","checkpoint","learning","js","format","direct","Rules","find","consensus","list","extract","outcomes",{"skillNo":130,"name":131,"nameZh":6,"description":132,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":133,"categories":134,"keywords":139,"publishedAt":32},"01M6C27DMGZ4D6ERNHSVA8H8RJ","pulse","Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X\u002FTwitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend\u002Fsentiment\u002Fproblems\u002Fopportunities\u002Fcomparison), time window, and platform scope before searching. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Use when the user requests multi-source recency intelligence on a topic (e.g., 'pulse on [topic]', 'what's happening with [topic]', 'what are people saying about [topic]', 'current conversation about [topic]', 'take the pulse of [topic]', 'trending: [topic]', 'find me info on [topic]'), and for competitor research, trend discovery, tool comparisons, and audience sentiment analysis.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Fpulse\u002Fskills\u002Fpulse\u002FSKILL.md",[135,138],{"categoryNo":136,"categoryName":137,"taxonomyType":100,"taxonomyTypeDesc":101},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":103,"categoryName":104,"taxonomyType":100,"taxonomyTypeDesc":101},[131,140,141,112,142,114,116,143,144,117,145,146,147,148,122,123,149,124,29,31],"research","web","sentiment analysis","sentiment","Citations","analysis","discovery","open","tool","twitter",{"skillNo":151,"name":152,"nameZh":6,"description":153,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":154,"categories":155,"keywords":161,"publishedAt":32},"01M6C279M59X635VPD6Y9R616J","patent","Patent prior-art and landscape intelligence skill — not generic patent help. Commits to one of five sub-use-cases via forcing intake (novelty search \u002F freedom-to-operate \u002F competitive landscape \u002F acquisition diligence \u002F litigation prior-art) before any search runs. Searches Google Patents, Espacenet, USPTO, and optionally Lens.org for citation-graph signals. Output is an editable Word document (.docx) with verdict, ranked closest art (claim-text extracted), CPC-class-aware landscape, family-resolved hits, geographic coverage, FTO flags where applicable, strategy recommendations, and full audit log. Use when the user asks for patent searching or analysis (e.g., 'prior art search for [invention]', 'freedom to operate analysis for [product]'). Produces search signal, not legal advice — always recommends consulting a patent attorney before filing or licensing decisions. Trademark, copyright, and trade-secret questions are out of scope.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Fpatent\u002Fskills\u002Fpatent\u002FSKILL.md",[156,157,158],{"categoryNo":98,"categoryName":99,"taxonomyType":100,"taxonomyTypeDesc":101},{"categoryNo":103,"categoryName":104,"taxonomyType":100,"taxonomyTypeDesc":101},{"categoryNo":159,"categoryName":160,"taxonomyType":108,"taxonomyTypeDesc":109},"01JBSEEDCAT000000000000037","律师与法务",[152,111,112,162,163,164,114,115,116,145,165,166,167,123,168,169,170,171,31,172],"competitive landscape","routing","product","commits","Word","text","acquisition","decisions","strategy","coverage","advice",{"skillNo":174,"name":175,"nameZh":6,"description":176,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":177,"categories":178,"keywords":183,"publishedAt":32},"01M6C275RZWNRB3CCB14QQM7ES","notebooklm","Browser automation skill for controlling Google's NotebookLM. Use when the user wants anything done in NotebookLM (e.g., 'open NotebookLM', 'check my [name] notebook', 'ask my notebook about X', 'add [source] to NotebookLM', 'generate a Video Overview from my notebook', 'use NotebookLM Studio'). Handles reading and querying notebooks, adding sources (URLs, text, files, YouTube links, synthesized content), generating Studio outputs (Audio\u002FVideo Overviews, Mind Maps, Reports incl. Briefing Doc\u002FStudy Guide\u002FFAQ, Flashcards, Quiz, slide decks, infographics — discover the exact set from the live Studio panel; the UI evolves fast), and creating new notebooks. Requires browser automation environment — fails gracefully when unavailable.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Fnotebooklm\u002Fskills\u002Fnotebooklm\u002FSKILL.md",[179,182],{"categoryNo":180,"categoryName":181,"taxonomyType":100,"taxonomyTypeDesc":101},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":103,"categoryName":104,"taxonomyType":100,"taxonomyTypeDesc":101},[175,184,185,140,186,187,188,189,190,191,192,193,147,167,122,194,195,196,197,31],"google","browser automation","automation","generate","browser","fast","SET","doc","Video","Audio","check","ask","environment","overview",{"skillNo":199,"name":200,"nameZh":6,"description":201,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":202,"categories":203,"keywords":208,"publishedAt":32},"01M6C2717B0QDJ3Y4PJP77BMW5","litreview","Academic literature orientation skill that searches papers via free keyless APIs (PubMed E-utilities + OpenAlex) by default — with the Consensus MCP as an optional enhancement lane when connected — builds a strategic search plan using PICO (default) or SPIDER \u002F Decomposition \u002F hybrid as fallbacks, and synthesizes findings into a formatted Word (.docx) research guide. Grill-me intake (research question specificity + framework hint + tentative depth) before the recon search; a second forcing checkpoint after Phase 2 confirms framework + sub-areas + depth before searches consume budget. Configurable depth (5\u002F10\u002F20 queries) controls coverage vs. speed. Output is a 'launching pad' — an orientation guide that lets a researcher dive in confidently, not a finished review. Use when the user starts literature-oriented research (e.g., 'litreview on [topic]', 'literature review on [topic]', 'I'm starting a literature review on X', 'I'm writing a paper on X', 'help me research X', 'I'm doing research on X', 'can you help me research X'). Do NOT use for single one-off paper searches wanting a quick list — that's a plain PubMed\u002FOpenAlex (or Consensus) query.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Flitreview\u002Fskills\u002Flitreview\u002FSKILL.md",[204,205,206,207],{"categoryNo":98,"categoryName":99,"taxonomyType":100,"taxonomyTypeDesc":101},{"categoryNo":136,"categoryName":137,"taxonomyType":100,"taxonomyTypeDesc":101},{"categoryNo":103,"categoryName":104,"taxonomyType":100,"taxonomyTypeDesc":101},{"categoryNo":106,"categoryName":107,"taxonomyType":108,"taxonomyTypeDesc":109},[200,111,209,210,211,112,114,115,212,213,214,118,25,166,215,123,125,216,171,31],"MCP","writing","review","lane","keyless","literature review","researcher","question",{"skillNo":218,"name":219,"nameZh":6,"description":220,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":221,"categories":222,"keywords":227,"publishedAt":32},"01M6C26X5G3WDVWQ40Y16ZS19F","grants","NIH grant research skill for clinical researchers. Grill-me intake (research idea + career stage + preliminary data + environment + submission posture + known institute targets) locks down the funding strategy before any search runs. Runs a 5-facet Consensus positioning analysis (with draft Significance\u002FInnovation language), maps the research to the right NIH institutes and study sections via RePORTER, finds NOSIs and funded overlap, and produces an editable Word document (.docx) with budget\u002Fscope-aware mechanism recommendations, submission timelines, and a mandatory program officer recommendation. Use when the user asks about research funding or makes any grant-related request (e.g., 'grants for [topic]', 'find grants for my research idea', 'what grants match my research', 'help me find NIH funding', 'grant opportunities for my research'). NIH-only scope — non-NIH funders (PCORI, DOD CDMRP, VA, foundations) are out of scope and flagged at intake.","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fresearch\u002Fgrants\u002Fskills\u002Fgrants\u002FSKILL.md",[223,224,225,226],{"categoryNo":98,"categoryName":99,"taxonomyType":100,"taxonomyTypeDesc":101},{"categoryNo":136,"categoryName":137,"taxonomyType":100,"taxonomyTypeDesc":101},{"categoryNo":103,"categoryName":104,"taxonomyType":100,"taxonomyTypeDesc":101},{"categoryNo":106,"categoryName":107,"taxonomyType":108,"taxonomyTypeDesc":109},[219,111,140,112,228,114,115,116,229,230,117,145,166,123,124,125,170,196,31,231],"help","data","Budget","innovation"]