c-level-skills
Index and router for the C-level advisory bundle: 33 skills covering 14 C-suite roles, orchestration, cross-cutting capabilities, and culture. Use when exploring what the c-level-advisor bundle contains, deciding which advisor skill fits a question, or finding the entry points (cs-onboard interview, chief-of-staff routing, board-meeting protocol).
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- MIT
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- 2026-10-10
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01 前言 Front Matter
- name
- c-level-skills
- license
- MIT
- metadata
- { "author": "Alireza Rezvani", "domain": "executive-advisory", "updated": 1781136000000, "version": "2.1.0", "category": "c-level", "skills_count": 33, "scripts_count": 37, "references_count": 68 }
- description
- Index and router for the C-level advisory bundle: 33 skills covering 14 C-suite roles, orchestration, cross-cutting capabilities, and culture. Use when exploring what the c-level-advisor bundle contains, deciding which advisor skill fits a question, or finding the entry points (cs-onboard interview, chief-of-staff routing, board-meeting protocol).
03 SKILL.md 正文
C-Level Advisory Bundle — Index
This is the bundle index, not an advisor. It tells you what exists and where to start; the skills below do the work.
Start Here
- Onboard — the
cs-onboardskill runs the founder interview (/cs:setup, 7 dimensions, ~45 min) and writes~/.claude/company-context.md. Refresh quarterly with/cs:update. This is the canonical context schema every advisor reads. - Ask — the
chief-of-staffskill routes any question to the right advisor(s). See its routing matrix for all 14 roles. - Big decisions — the
board-meetingskill runs a 6-phase deliberation: (1) context gathering → (2) independent contributions (isolated) → (3) critic analysis → (4) synthesis → (5) founder review (full stop) → (6) decision extraction. Invoked via/cs:boardroomin the c-level-agents plugin. - Memory — decisions land in the canonical two-layer layout
~/.claude/decisions/{raw,approved}/(see../agent-protocol/SKILL.md→ "Decision Memory (Canonical Layout)").
What's in the Bundle (33 skills)
14 C-suite roles + critic (15): ceo-advisor, cfo-advisor, cto-advisor, coo-advisor, cpo-advisor, cmo-advisor, cro-advisor, ciso-advisor, chro-advisor, general-counsel-advisor, chief-data-officer-advisor, chief-ai-officer-advisor, chief-customer-officer-advisor, vpe-advisor — plus the executive-mentor critic (sibling plugin).
Orchestration (6): cs-onboard, chief-of-staff, board-meeting, decision-logger, agent-protocol, context-engine.
Cross-cutting (6): board-deck-builder, scenario-war-room, competitive-intel, org-health-diagnostic, ma-playbook, intl-expansion.
Culture & collaboration (6): culture-architect, company-os, founder-coach, strategic-alignment, change-management, internal-narrative.
Plus this index (1). 37 stdlib-only Python tools and 68 reference docs across the bundle.
Routing Quick Reference
Full matrix in ../chief-of-staff/SKILL.md and ../chief-of-staff/references/routing-matrix.md. Primary roles: CFO (capital/burn), CRO (pipeline/sales), CMO (positioning), CPO (roadmap/PMF), CTO (architecture), COO (ops/OKRs), CHRO (people), CISO (security), GC (contracts/term sheets), CDO (data strategy/training-data rights), CAIO (AI strategy/evals), CCO (retention/GRR), VPE (delivery/DORA), CEO (direction). Multi-domain or irreversible → board meeting.
Related Layers
../../../c-level-agents/— 13 cs-* persona agents + 21/cs:*slash commands on top of these skills../../executive-mentor/— adversarial/em:*critic commands../../CLAUDE.md— full architecture diagram and integration guide
04 同仓库更多 Skills
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.
pulse
Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X/Twitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend/sentiment/problems/opportunities/comparison), 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.
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 / freedom-to-operate / competitive landscape / acquisition diligence / 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.
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/Video Overviews, Mind Maps, Reports incl. Briefing Doc/Study Guide/FAQ, 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.
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 / Decomposition / 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 (5/10/20 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/OpenAlex (or Consensus) query.
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/Innovation 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/scope-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.