[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6C16MHD0NQMFCCPAAAAP2QK":3,"skill-same:01M6C16MHD0NQMFCCPAAAAP2QK":84},{"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":22,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":50,"commitSha":51,"skillDirectory":52,"forksCount":13,"repositoryHtmlUrl":53,"repositoryHomepageUrl":6,"ownerHtmlUrl":54,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":55,"install":56,"resources":69},"01M6C16MHD0NQMFCCPAAAAP2QK","board-meeting",null,"Multi-agent board meeting protocol for strategic decisions. Runs a structured 6-phase deliberation: context loading, independent C-suite contributions (isolated, no cross-pollination), critic analysis, synthesis, founder review, and decision extraction. Use when the user invokes \u002Fcs:boardroom, calls a board meeting, or wants structured multi-perspective executive deliberation on a strategic question.","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\u002Fc-level-advisor\u002Fskills\u002Fboard-meeting\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000034","行政与办公人员","PROFESSION","适用职业",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"board meeting","board","review","memory","protocol","extraction","analysis","critic","multi-agent","decision","decisions","boardroom","question","context","user","2026-11-10 10:12:30",false,"---\nname: \"board-meeting\"\ndescription: \"Multi-agent board meeting protocol for strategic decisions. Runs a structured 6-phase deliberation: context loading, independent C-suite contributions (isolated, no cross-pollination), critic analysis, synthesis, founder review, and decision extraction. Use when the user invokes \u002Fcs:boardroom, calls a board meeting, or wants structured multi-perspective executive deliberation on a strategic question.\"\nlicense: MIT\nmetadata:\n  version: 1.0.0\n  author: Alireza Rezvani\n  category: c-level\n  domain: board-protocol\n  updated: 2026-03-05\n  frameworks: 6-phase-board, two-layer-memory, independent-contributions\n---\n\n# Board Meeting Protocol\n\nStructured multi-agent deliberation that prevents groupthink, captures minority views, and produces clean, actionable decisions.\n\n## Keywords\nboard meeting, executive deliberation, strategic decision, C-suite, multi-agent, \u002Fcs:boardroom, founder review, decision extraction, independent perspectives\n\n## Invoke\n`\u002Fcs:boardroom [topic]` — e.g. `\u002Fcs:boardroom Should we expand to Spain in Q3?`\n\n---\n\n## The 6-Phase Protocol\n\n### PHASE 1: Context Gathering\n1. Load `~\u002F.claude\u002Fcompany-context.md`\n2. Load Layer 2 approved decisions from `~\u002F.claude\u002Fdecisions\u002Fapproved\u002F` **(Layer 2 ONLY — never raw transcripts)**\n3. Reset session state — no bleed from previous conversations\n4. Present agenda + activated roles → wait for founder confirmation\n\n**Chief of Staff selects relevant roles** based on topic (not all 14 every time):\n| Topic | Activate |\n|-------|----------|\n| Market expansion | CEO, CMO, CFO, CRO, COO |\n| Product direction | CEO, CPO, CTO, CMO |\n| Hiring\u002Forg | CEO, CHRO, CFO, COO (+ VPE for eng hiring) |\n| Pricing | CMO, CFO, CRO, CPO |\n| Technology | CTO, CPO, CFO, CISO |\n| Contracts \u002F term sheets \u002F legal exposure | GC, CEO, CFO |\n| Data strategy \u002F training-data rights | CDO, CAIO, GC, CISO |\n| AI strategy \u002F model selection \u002F AI risk | CAIO, CTO, CDO, CFO |\n| Retention \u002F churn \u002F customer success | CCO, CRO, CPO |\n| Eng delivery \u002F DORA \u002F team structure | VPE, CTO, CHRO, CFO |\n\n---\n\n### PHASE 2: Independent Contributions (ISOLATED)\n\n**No cross-pollination. Each agent runs before seeing others' outputs.**\n\nOrder: Research (if needed) → CMO → CFO → CEO → CTO → COO → CHRO → CRO → CISO → CPO → GC → CDO → CAIO → CCO → VPE (activated roles only)\n\n**Reasoning techniques:** CEO: Tree of Thought (3 futures) | CFO: Chain of Thought (show the math) | CMO: Recursion of Thought (draft→critique→refine) | CPO: First Principles | CRO: Chain of Thought (pipeline math) | COO: Step by Step (process map) | CTO: ReAct (research→analyze→act) | CISO: Risk-Based (P×I) | CHRO: Empathy + Data | GC: Risk-Based (clause exposure) | CDO: Decision-Driven (what decision does this data drive) | CAIO: Eval-Demanding (no eval, no ship) | CCO: Retention-Obsessed (GRR over NRR) | VPE: Throughput-First (cycle-time math)\n\n**Contribution format (max 5 key points, self-verified):**\n```\n## [ROLE] — [DATE]\n\nKey points (max 5):\n• [Finding] — [VERIFIED\u002FASSUMED] — ?\u002F?\u002F?\n• [Finding] — [VERIFIED\u002FASSUMED] — ?\u002F?\u002F?\n\nRecommendation: [clear position]\nConfidence: High \u002F Medium \u002F Low\nSource: [where the data came from]\nWhat would change my mind: [specific condition]\n```\n\nEach agent self-verifies before contributing: source attribution, assumption audit, confidence scoring. No untagged claims.\n\n---\n\n### PHASE 3: Critic Analysis\nExecutive Mentor receives ALL Phase 2 outputs simultaneously. Role: adversarial reviewer, not synthesizer.\n\nChecklist:\n- Where did agents agree too easily? (suspicious consensus = red flag)\n- What assumptions are shared but unvalidated?\n- Who is missing from the room? (customer voice? front-line ops?)\n- What risk has nobody mentioned?\n- Which agent operated outside their domain?\n\n---\n\n### PHASE 4: Synthesis\nChief of Staff delivers using the **Board Meeting Output** format (defined in `..\u002Fagent-protocol\u002FSKILL.md`):\n- Decision Required (one sentence)\n- Perspectives (one line per contributing role)\n- Where They Agree \u002F Where They Disagree\n- Critic's View (the uncomfortable truth)\n- Recommended Decision + Action Items (owners, deadlines)\n- Your Call (options if founder disagrees)\n\n---\n\n### PHASE 5: Human in the Loop ⏸️\n\n**Full stop. Wait for the founder.**\n\n```\n⏸️ FOUNDER REVIEW — [Paste synthesis]\n\nOptions: ✅ Approve | ✏️ Modify | ❌ Reject | ❓ Ask follow-up\n```\n\n**Rules:**\n- User corrections OVERRIDE agent proposals. No pushback. No \"but the CFO said...\"\n- 30-min inactivity → auto-close as \"pending review\"\n- Reopen any time with `\u002Fcs:boardroom resume`\n\n---\n\n### PHASE 6: Decision Extraction\nAfter founder approval:\n- **Layer 1:** Write full transcript → `~\u002F.claude\u002Fdecisions\u002Fraw\u002FYYYY-MM-DD-\u003Cslug>.md`\n- **Layer 2:** Write approved decision record → `~\u002F.claude\u002Fdecisions\u002Fapproved\u002FYYYY-MM-DD-\u003Cslug>.md` and append to the index `~\u002F.claude\u002Fdecisions\u002Fapproved\u002Fdecisions.md`\n- Mark rejected proposals `[DO_NOT_RESURFACE]`\n- Confirm to founder with count of decisions logged, actions tracked, flags added\n\n---\n\n## Memory Structure\n\nUses the canonical two-layer decision memory (see `..\u002Fagent-protocol\u002FSKILL.md` → \"Decision Memory (Canonical Layout)\"):\n\n```\n~\u002F.claude\u002Fdecisions\u002F\n├── raw\u002FYYYY-MM-DD-\u003Cslug>.md        # Layer 1 — full transcripts (never auto-loaded)\n├── raw\u002Farchive\u002FYYYY\u002F               # Raw transcripts after 90 days\n├── approved\u002FYYYY-MM-DD-\u003Cslug>.md   # Layer 2 — founder-approved records (Phase 1 loads these)\n└── approved\u002Fdecisions.md           # Layer 2 index — append-only\n```\n\n**Future meetings load Layer 2 only.** Never Layer 1. This prevents hallucinated consensus.\n\nMigration: a legacy `memory\u002Fboard-meetings\u002F` folder may exist from earlier versions; read it for history but write new transcripts and decisions to `~\u002F.claude\u002Fdecisions\u002F`.\n\n---\n\n## Failure Mode Quick Reference\n| Failure | Fix |\n|---------|-----|\n| Groupthink (all agree) | Re-run Phase 2 isolated; force \"strongest argument against\" |\n| Analysis paralysis | Cap at 5 points; force recommendation even with Low confidence |\n| Bikeshedding | Log as async action item; return to main agenda |\n| Role bleed (CFO making product calls) | Critic flags; exclude from synthesis |\n| Layer contamination | Phase 1 loads `~\u002F.claude\u002Fdecisions\u002Fapproved\u002F` only — hard rule |\n\n---\n\n## References\n- `templates\u002Fmeeting-agenda.md` — agenda format\n- `templates\u002Fmeeting-minutes.md` — final output format\n- `references\u002Fmeeting-facilitation.md` — conflict handling, timing, failure modes\n","# Board Meeting Protocol\n\nStructured multi-agent deliberation that prevents groupthink, captures minority views, and produces clean, actionable decisions.\n\n## Keywords\nboard meeting, executive deliberation, strategic decision, C-suite, multi-agent, \u002Fcs:boardroom, founder review, decision extraction, independent perspectives\n\n## Invoke\n`\u002Fcs:boardroom [topic]` — e.g. `\u002Fcs:boardroom Should we expand to Spain in Q3?`\n\n---\n\n## The 6-Phase Protocol\n\n### PHASE 1: Context Gathering\n1. Load `~\u002F.claude\u002Fcompany-context.md`\n2. Load Layer 2 approved decisions from `~\u002F.claude\u002Fdecisions\u002Fapproved\u002F` **(Layer 2 ONLY — never raw transcripts)**\n3. Reset session state — no bleed from previous conversations\n4. Present agenda + activated roles → wait for founder confirmation\n\n**Chief of Staff selects relevant roles** based on topic (not all 14 every time):\n| Topic | Activate |\n|-------|----------|\n| Market expansion | CEO, CMO, CFO, CRO, COO |\n| Product direction | CEO, CPO, CTO, CMO |\n| Hiring\u002Forg | CEO, CHRO, CFO, COO (+ VPE for eng hiring) |\n| Pricing | CMO, CFO, CRO, CPO |\n| Technology | CTO, CPO, CFO, CISO |\n| Contracts \u002F term sheets \u002F legal exposure | GC, CEO, CFO |\n| Data strategy \u002F training-data rights | CDO, CAIO, GC, CISO |\n| AI strategy \u002F model selection \u002F AI risk | CAIO, CTO, CDO, CFO |\n| Retention \u002F churn \u002F customer success | CCO, CRO, CPO |\n| Eng delivery \u002F DORA \u002F team structure | VPE, CTO, CHRO, CFO |\n\n---\n\n### PHASE 2: Independent Contributions (ISOLATED)\n\n**No cross-pollination. Each agent runs before seeing others' outputs.**\n\nOrder: Research (if needed) → CMO → CFO → CEO → CTO → COO → CHRO → CRO → CISO → CPO → GC → CDO → CAIO → CCO → VPE (activated roles only)\n\n**Reasoning techniques:** CEO: Tree of Thought (3 futures) | CFO: Chain of Thought (show the math) | CMO: Recursion of Thought (draft→critique→refine) | CPO: First Principles | CRO: Chain of Thought (pipeline math) | COO: Step by Step (process map) | CTO: ReAct (research→analyze→act) | CISO: Risk-Based (P×I) | CHRO: Empathy + Data | GC: Risk-Based (clause exposure) | CDO: Decision-Driven (what decision does this data drive) | CAIO: Eval-Demanding (no eval, no ship) | CCO: Retention-Obsessed (GRR over NRR) | VPE: Throughput-First (cycle-time math)\n\n**Contribution format (max 5 key points, self-verified):**\n```\n## [ROLE] — [DATE]\n\nKey points (max 5):\n• [Finding] — [VERIFIED\u002FASSUMED] — ?\u002F?\u002F?\n• [Finding] — [VERIFIED\u002FASSUMED] — ?\u002F?\u002F?\n\nRecommendation: [clear position]\nConfidence: High \u002F Medium \u002F Low\nSource: [where the data came from]\nWhat would change my mind: [specific condition]\n```\n\nEach agent self-verifies before contributing: source attribution, assumption audit, confidence scoring. No untagged claims.\n\n---\n\n### PHASE 3: Critic Analysis\nExecutive Mentor receives ALL Phase 2 outputs simultaneously. Role: adversarial reviewer, not synthesizer.\n\nChecklist:\n- Where did agents agree too easily? (suspicious consensus = red flag)\n- What assumptions are shared but unvalidated?\n- Who is missing from the room? (customer voice? front-line ops?)\n- What risk has nobody mentioned?\n- Which agent operated outside their domain?\n\n---\n\n### PHASE 4: Synthesis\nChief of Staff delivers using the **Board Meeting Output** format (defined in `..\u002Fagent-protocol\u002FSKILL.md`):\n- Decision Required (one sentence)\n- Perspectives (one line per contributing role)\n- Where They Agree \u002F Where They Disagree\n- Critic's View (the uncomfortable truth)\n- Recommended Decision + Action Items (owners, deadlines)\n- Your Call (options if founder disagrees)\n\n---\n\n### PHASE 5: Human in the Loop ⏸️\n\n**Full stop. Wait for the founder.**\n\n```\n⏸️ FOUNDER REVIEW — [Paste synthesis]\n\nOptions: ✅ Approve | ✏️ Modify | ❌ Reject | ❓ Ask follow-up\n```\n\n**Rules:**\n- User corrections OVERRIDE agent proposals. No pushback. No \"but the CFO said...\"\n- 30-min inactivity → auto-close as \"pending review\"\n- Reopen any time with `\u002Fcs:boardroom resume`\n\n---\n\n### PHASE 6: Decision Extraction\nAfter founder approval:\n- **Layer 1:** Write full transcript → `~\u002F.claude\u002Fdecisions\u002Fraw\u002FYYYY-MM-DD-\u003Cslug>.md`\n- **Layer 2:** Write approved decision record → `~\u002F.claude\u002Fdecisions\u002Fapproved\u002FYYYY-MM-DD-\u003Cslug>.md` and append to the index `~\u002F.claude\u002Fdecisions\u002Fapproved\u002Fdecisions.md`\n- Mark rejected proposals `[DO_NOT_RESURFACE]`\n- Confirm to founder with count of decisions logged, actions tracked, flags added\n\n---\n\n## Memory Structure\n\nUses the canonical two-layer decision memory (see `..\u002Fagent-protocol\u002FSKILL.md` → \"Decision Memory (Canonical Layout)\"):\n\n```\n~\u002F.claude\u002Fdecisions\u002F\n├── raw\u002FYYYY-MM-DD-\u003Cslug>.md        # Layer 1 — full transcripts (never auto-loaded)\n├── raw\u002Farchive\u002FYYYY\u002F               # Raw transcripts after 90 days\n├── approved\u002FYYYY-MM-DD-\u003Cslug>.md   # Layer 2 — founder-approved records (Phase 1 loads these)\n└── approved\u002Fdecisions.md           # Layer 2 index — append-only\n```\n\n**Future meetings load Layer 2 only.** Never Layer 1. This prevents hallucinated consensus.\n\nMigration: a legacy `memory\u002Fboard-meetings\u002F` folder may exist from earlier versions; read it for history but write new transcripts and decisions to `~\u002F.claude\u002Fdecisions\u002F`.\n\n---\n\n## Failure Mode Quick Reference\n| Failure | Fix |\n|---------|-----|\n| Groupthink (all agree) | Re-run Phase 2 isolated; force \"strongest argument against\" |\n| Analysis paralysis | Cap at 5 points; force recommendation even with Low confidence |\n| Bikeshedding | Log as async action item; return to main agenda |\n| Role bleed (CFO making product calls) | Critic flags; exclude from synthesis |\n| Layer contamination | Phase 1 loads `~\u002F.claude\u002Fdecisions\u002Fapproved\u002F` only — hard rule |\n\n---\n\n## References\n- `templates\u002Fmeeting-agenda.md` — agenda format\n- `templates\u002Fmeeting-minutes.md` — final output format\n- `references\u002Fmeeting-facilitation.md` — conflict handling, timing, failure modes\n",{"name":5,"license":14,"metadata":43,"description":7},{"author":44,"domain":45,"updated":46,"version":47,"category":48,"frameworks":49},"Alireza Rezvani","board-protocol",1772668800000,"1.0.0","c-level","6-phase-board, two-layer-memory, independent-contributions","main","510dd2917e051cc953dc55f56fd6ef442aa01b38","claude-skills\u002Fc-level-advisor\u002Fskills\u002Fboard-meeting","https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi","https:\u002F\u002Fgithub.com\u002Fmne20114-hash","2026-10-28 07:50:31",{"source":8,"skillName":5,"commands":57,"prompt":67,"zipAvailable":68},[58,61,64],{"tool":59,"command":60},"npx","npx skills add mne20114-hash\u002Fgest35bi --skill board-meeting",{"tool":62,"command":63},"bunx","bunx skills add mne20114-hash\u002Fgest35bi --skill board-meeting",{"tool":65,"command":66},"pnpm","pnpm dlx skills add mne20114-hash\u002Fgest35bi --skill board-meeting","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fc-level-advisor\u002Fskills\u002Fboard-meeting\u002FSKILL.md",true,[70,76,80],{"path":71,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":74,"sourceHtmlUrl":75},"references\u002Fmeeting-facilitation.md","REFERENCE","参考文档",8210,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fc-level-advisor\u002Fskills\u002Fboard-meeting\u002Freferences\u002Fmeeting-facilitation.md",{"path":77,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":78,"sourceHtmlUrl":79},"templates\u002Fmeeting-agenda.md",1985,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fc-level-advisor\u002Fskills\u002Fboard-meeting\u002Ftemplates\u002Fmeeting-agenda.md",{"path":81,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":82,"sourceHtmlUrl":83},"templates\u002Fmeeting-minutes.md",2522,"https:\u002F\u002Fgithub.com\u002Fmne20114-hash\u002Fgest35bi\u002Fblob\u002Fmain\u002Fclaude-skills\u002Fc-level-advisor\u002Fskills\u002Fboard-meeting\u002Ftemplates\u002Fmeeting-minutes.md",[85,120,140,162,187,205],{"skillNo":86,"name":87,"nameZh":6,"description":88,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":89,"categories":90,"keywords":100,"publishedAt":38},"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",[91,96,99],{"categoryNo":92,"categoryName":93,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000002","文档处理","SCENARIO","使用场景",{"categoryNo":97,"categoryName":98,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[87,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119],"docx","pr","create","intake","search","audit","integrity","checkpoint","learning","js","format","direct","Rules","find","consensus","list","extract","use","outcomes",{"skillNo":121,"name":122,"nameZh":6,"description":123,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":124,"categories":125,"keywords":130,"publishedAt":38},"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",[126,129],{"categoryNo":127,"categoryName":128,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":97,"categoryName":98,"taxonomyType":94,"taxonomyTypeDesc":95},[122,131,132,102,133,104,106,134,135,107,29,136,137,138,112,113,139,114,37,118],"research","web","sentiment analysis","sentiment","Citations","discovery","open","tool","twitter",{"skillNo":141,"name":142,"nameZh":6,"description":143,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":144,"categories":145,"keywords":151,"publishedAt":38},"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",[146,147,148],{"categoryNo":92,"categoryName":93,"taxonomyType":94,"taxonomyTypeDesc":95},{"categoryNo":97,"categoryName":98,"taxonomyType":94,"taxonomyTypeDesc":95},{"categoryNo":149,"categoryName":150,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000037","律师与法务",[142,101,102,152,153,154,104,105,106,29,155,156,157,113,158,33,159,160,118,161],"competitive landscape","routing","product","commits","Word","text","acquisition","strategy","coverage","advice",{"skillNo":163,"name":164,"nameZh":6,"description":165,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":166,"categories":167,"keywords":172,"publishedAt":38},"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",[168,171],{"categoryNo":169,"categoryName":170,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":97,"categoryName":98,"taxonomyType":94,"taxonomyTypeDesc":95},[164,173,174,131,175,176,177,178,179,180,181,182,137,157,112,183,184,185,186,118],"google","browser automation","automation","generate","browser","fast","SET","doc","Video","Audio","check","ask","environment","overview",{"skillNo":188,"name":189,"nameZh":6,"description":190,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":191,"categories":192,"keywords":197,"publishedAt":38},"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",[193,194,195,196],{"categoryNo":92,"categoryName":93,"taxonomyType":94,"taxonomyTypeDesc":95},{"categoryNo":127,"categoryName":128,"taxonomyType":94,"taxonomyTypeDesc":95},{"categoryNo":97,"categoryName":98,"taxonomyType":94,"taxonomyTypeDesc":95},{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[189,101,198,199,25,102,104,105,200,201,202,108,203,156,204,113,115,35,160,118],"MCP","writing","lane","keyless","literature review","plan","researcher",{"skillNo":206,"name":207,"nameZh":6,"description":208,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":209,"categories":210,"keywords":215,"publishedAt":38},"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",[211,212,213,214],{"categoryNo":92,"categoryName":93,"taxonomyType":94,"taxonomyTypeDesc":95},{"categoryNo":127,"categoryName":128,"taxonomyType":94,"taxonomyTypeDesc":95},{"categoryNo":97,"categoryName":98,"taxonomyType":94,"taxonomyTypeDesc":95},{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[207,101,131,102,216,104,105,106,217,218,107,29,156,113,114,115,159,185,118,219],"help","data","Budget","innovation"]