m2ai-strategy-analysis

Plugin m2ai-strategy-analysis from marketplace m2ai-skills-pack in m2ai-portfolio/m2ai-skills-pack. Commands read from the repo's manifest — 2 days ago.

Skills (27)

• agent-system-touch-map

  Map every workflow to the SaaS systems it touches, the operations performed on each system, and the vendor billing meter each operation triggers. Input a workflow description and list of integrated SaaS vendors; output a system-by-system table with operation classifications, meter hits, identity mod

• amdahl-ceiling-calculator

  Map a workflow's time allocation between AI-accelerable and non-accelerable steps, calculate the theoretical maximum speedup via Amdahl's Law, and identify which tool-layer bottleneck to fix first. Use when the user says "amdahl ceiling", "workflow bottleneck", "max speedup", "where's my ceiling", "

• arbitrage-audit

  Map a business model to Nate's five exploitable-inefficiency categories (speed, reasoning, fragmentation, discipline, knowledge-asymmetry), tag each gap as structural vs informational, and produce a compression timeline with prioritized actions. Use when the user wants an org-level diagnostic of whe

• brand-memory-probe

  Probe how a brand appears in AI agent recall across multiple LLM providers. Simulates generic buyer intent queries (e.g. "best CRM for a 5-person team") against Claude, ChatGPT, Gemini, and Perplexity and produces a "memory share" report showing whether the brand surfaces, in what position, and with

• buyer-questions

  Pre-pitch preflight for enterprise AI sales. Input a product description and buyer persona; outputs the two highest-probability deal-killing questions that buyer will ask, ranked by likelihood of ending the conversation, with suggested answers. Use on "buyer-questions", "what will my buyer ask", "en

• career-gap-map

  Calculate an individual's AI exposure score (percent of weekly tasks AI can already compress to near-zero) and produce a migration plan toward upstream skills like judgment, taste, and system design. Use when the user wants to audit their own job, plan a career pivot, evaluate how exposed their role

• counterargument-stress-test

  Takes any strategic argument, business case, or thesis and systematically generates and addresses the N strongest counterarguments, forcing rigorous thinking before publishing or deciding.

• data-fabric-fit-assessor

  Given a client's or team's existing data infrastructure (Microsoft 365, Google Workspace, Salesforce, custom RAG, etc.), recommend which AI agent products will benefit from native data-graph access vs. which will require costly migration. Maps four major data fabrics to agent products optimized for

• decision-interview-builder

  Conduct a structured multi-turn interview through one real past decision the user made — walking situation, decision, risk, and change — and produce a sanitized, shareable judgment artifact that documents the reasoning without leaking confidential details. Use when the user says "interview me about

• executive-briefing

  Takes a complex geopolitical, industry, or market event and produces a structured executive briefing with thesis, transmission channels, quantified exposure, counterarguments addressed, and recommended actions.

• gap-trace

  Run Nate's three-question industry diagnostic — what inefficiency is this built on, how fast can AI close it, what new gap does closure create — and output a migration map showing where value moves upstream. Use when the user wants a fast (5-minute) diagnostic of any industry, product, or workflow w

• geopolitical-signal-enricher

  Enriches a market or technology signal with geopolitical context -- affected regions, supply chain nodes, timeline estimates, and second-order effects on tech infrastructure.

• impl-arch-audit

  Score an AI deployment against six implementation layers (workflow, data, authority, evaluation, audit trail, recovery). Outputs a tier verdict and surfaces the two questions your next enterprise buyer will ask that you cannot yet answer. Use on "impl-arch-audit", "implementation architecture audit"

• launch-filter

  Run any agent or AI product announcement through Nate's 5-question launch filter to get a structured verdict and go/wait/skip recommendation. Use when evaluating a new agent platform, AI product release, or vendor announcement. Trigger: "/launch-filter", "evaluate this launch", "should we adopt X",

• middleware-trap-detector

  Diagnose whether an agent deployment is falling into the "middleware trap" — wrapping legacy systems without redesign, mirroring manual bottlenecks at machine speed, or pass-through pipelines with no validation. Use when the user says "middleware trap", "deployment health", "is this deployment safe"

• news-narrative-decomposer

  Takes a month of AI/tech news and extracts the structural shifts underneath the headlines -- classifying each story by altitude (physics, monetization, geography, business models, geopolitics), finding the through-line, and outputting the 3-5 things that actually changed. Fights "absorbed a lot of t

• reasoning-extractor

  Apply a four-question reasoning framework (situation → decision → risk → change) to any piece of work — from an individual task to a strategic bet — turning silent judgment into a documented reasoning trail. Use when the user says "extract my reasoning", "reasoning trail", "document my thinking", "w

• semantic-score

  Score any AI product, vendor pitch, or announcement across 10 semantic-depth dimensions to distinguish "access-only" demos from "meaning-rich" products ready for production agent use. Use when evaluating AI tooling, reviewing a vendor pitch, auditing an integration, or the user says "/semantic-score

• silver-platter

  Interview a business owner about their day-to-day tools, build a tailored data map, render a Pantry → Prep → Plate HTML visualization with recipes, a 30-day build plan, and an interaction-layer Sankey, plus generate plain-English Claude Code recommendations (skills, subagents, hooks, rules, CLIs to

• strategic-timing-matrix

  Map your biggest pending decisions (hiring, fundraising, product launches, home purchase, job change) against macro events and market windows to recommend which decisions to accelerate, delay, or hedge. Use when the user says "timing matrix", "when should I", "decision timing", "should I wait", "acc

• stress-test-finder

  Interview the user about their current workload, surface the task they've been avoiding because it felt too messy or fragile to delegate, and produce a complete AI delegation prompt for that task. Use when deciding what to hand off next or when stuck in indecision about AI delegation.

• thesis-cluster-detector

  Ingests a batch of enterprise AI or technology news items (from RSS, Substack previews, or pasted headlines) and clusters them by underlying investment thesis using embedding similarity or keyword co-occurrence, then emits a "what is the underlying bet" briefing when a cluster reaches a configurable

• weekly-signal-diff

  Tracks N companies across M categories, re-ranks using user context (projects, interests, priorities), and produces a personalized "structural diff" of what changed and why it matters to YOU specifically. Saves analysis back so signal compounds over time.

• workflow-decomposer

  Turn a function, role, or process description into a list of discrete, scoreable workflows — the pre-step before any AI investment-motion decision. Trigger on "decompose this role", "break this function into workflows", "workflow decomposer", or before scoring any AI automation opportunity.

• workflow-fit-scorer

  Score a candidate workflow against 5 automation-fit properties and return a build / switch-tools / resolve-ambiguity verdict. Front-door diagnostic for any M2AI automation advisory engagement.

• workflow-investment-scorer

  Score each workflow on six dimensions (frequency, mistake cost, judgment, model-improvement trajectory, market maturity, company specificity) and emit a capital-allocation recommendation — automate / build / buy / hire / wait. Trigger on "score this workflow", "investment motion", "should I automate

• workflow-tier-classifier

  Paste a product description or pitch and get back a five-tier verdict (Decoration → Full Stack) with the missing implementation layers called out. Lightweight lead-magnet classifier and self-assessment tool. Use on "workflow-tier-classifier", "am I decorating a model", "classify my AI product", "wha

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