By DXBMARK
Chief AI Officer advisory: model build-vs-buy calculator (API vs fine-tune vs build with 3-year TCO across 6 paths + breakeven balancing economics with practical feasibility), AI risk classifier (EU AI Act tier with 7 Article citations + US state patchwork: NYC LL 144, CO AI Act, IL HB 53, CA SB 1001, IL BIPA + industry overlays for FDA AI/ML, CFPB Circular 2023-03, NYDFS Reg 23, NAIC, ECOA, Fed SR 11-7), AI cost economics (API vs self-hosted breakeven with 2026 pricing across A100/H100, utilization reality, hidden costs). 4 in-depth references each citing 5+ authoritative sources. Stdlib-only. Standalone-installable; also bundled in c-level-skills. Strategic only - does not duplicate engineering AI/ML skills.
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npx claudepluginhub dxbmark/claude-skills --plugin chief-ai-officer-advisorVP of Engineering advisory: delivery throughput analyzer (DORA 4 metrics + cycle-time bottleneck identification), eng hiring funnel calculator (7-stage conversion + pipeline gap + weakest-stage fixes), eng team structure designer (squad/tribe model + manager-trigger + director-trigger + span-of-control). 4 in-depth references: DORA framework, eng hiring funnel, eng team structure (Conway's Law), production discipline (on-call, incidents, deployment, SLOs). Stdlib-only. Standalone-installable; also bundled in c-level-skills. NOT a CTO skill — VPE owns how the team ships, CTO owns what to build.
Chief Customer Officer advisory for startups: retention decomposition analyzer (honest GRR vs NRR + 7-category churn taxonomy), customer segmentation designer (4-tier framework + ICP fit scoring + kill list), CS coverage calculator (pooled vs named CSM models + ratio math + 12-month hiring plan). 4 in-depth references: retention decomposition, customer segmentation strategy, CS coverage model, CS team org evolution (CSM vs Support vs AM vs IM vs CS Ops). Stdlib-only. Standalone-installable; also bundled in c-level-skills. Strategic only - does not duplicate business-growth tactical CS skills.
Chief Data Officer advisory: AI training data audit (origin x class x use-case matrix with GDPR Art. 6 + EU AI Act citations -> GO/MITIGATE/NO-GO per source), data product strategy picker (warehouse vs lakehouse vs mesh + 6-layer build-vs-buy + 12-month sequencing), data asset valuator (strategic value 0-10 + M&A multiplier with carve-out penalties + 3 ranked productization paths). 4 references answering one decision each: training rights, data product strategy, customer-data-as-asset, data team org evolution. Stdlib-only. Standalone-installable; also bundled in c-level-skills. Strategic only - does not duplicate engineering data skills.
Founder-mode executive team plugin: 13 cs-* C-suite agents (CFO, CMO, CRO, CPO, COO, CHRO, CISO, Chief of Staff, General Counsel, Chief Data Officer, Chief AI Officer, Chief Customer Officer, VP of Engineering) plus 21 /cs:* slash commands for forcing-question office hours (incl. /cs:vpe-review), multi-role boardroom deliberation, strategic sprint pipeline, and meta routing. Wraps the 33 c-level skills (including vpe-advisor with delivery throughput DORA analyzer + eng hiring funnel calculator + eng team structure designer) with cognitive gearing and artifact handoffs.
Mid-conversation reflection skill that pauses execution and zooms out from detail-mode to honestly reassess direction, assumptions, and bias. Use when the user says 'reflect', 'take a step back', 'step back', 'zoom out', 'are we missing something', 'bigger picture', 'sanity check this', 'are we on track', 'are we overthinking this', 'forest for the trees', or any variation signaling intent to break out of detail-mode and reassess. Also trigger when the conversation has gone deep on implementation details without strategic check-in, or when the user shows signs of being stuck — that's often a signal the framing needs a reset, not more detail work. Intentionally low-intake: runs the 5-dimension analysis immediately when prior context is rich enough; asks one forcing clarifier only when invocation context is too thin to reassess from.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Ultra-compressed communication mode. Cuts 65% of output tokens (measured) while keeping full technical accuracy by speaking like a caveman.
Harness-native ECC operator layer - 67 agents, 278 skills, 94 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
Frontend design skill for UI/UX implementation
Memory compression system for Claude Code - persist context across sessions
Marketing skills for AI agents — conversion optimization, copywriting, SEO, paid ads, ad creative, and growth