claude

consultant-augmentor

Consulting and proposal co-pilot for advisors, solutions architects, and internal enablement leads: AI use-case discovery and scoring, engagement scoping and phasing, transparent ROI models, workshop design, survey design, audience-tiered reporting, and adversarial review of recommendations. Structures and stress-tests; you own the advice and the numbers.

0 on GitHubby Kyle Rosebrookv1.4.1MITupdated todaybusiness
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Plugin consultant-augmentor from marketplace augmentor-packs in Krosebrook/augmentor-packs. Commands read from the repo's manifest — today.

What it installs

Skills (7)

  • adversarial-recommendation-review

    Use before a recommendation, proposal, audit, or plan goes to a client or decision maker. Stress-tests it: steelmans the opposing view, checks evidence behind each claim, finds hidden assumptions and failure modes, and rates confidence. Produces a review memo; the user decides what to change.

  • audience-tier-rewriter

    Use when the same findings, research, or update must go to several audiences (executives, managers, practitioners, non-technical staff). Produces tiered versions from one source of truth: same facts, different depth, vocabulary, and asks. Keeps numbers consistent across tiers and adds nothing that i

  • engagement-scoper

    Use when scoping a consulting engagement, internal project, or proposal: objectives, scope and out-of-scope, phases and deliverables, assumptions, client responsibilities, risks, acceptance criteria, and a pricing structure from the user's own rates. Drafts the scope; the user negotiates and signs.

  • roi-model-builder

    Use when building a business case or ROI model for an AI, automation, or software initiative. Builds a transparent model (baseline, benefits, costs, adoption ramp, sensitivity) from user-supplied inputs, with every assumption visible and conservative/expected/optimistic scenarios. Never invents benc

  • survey-designer

    Use when designing, reviewing, or analyzing a survey: adoption or baseline measurement, post-engagement feedback, needs assessment, or pulse checks. Writes unbiased questions, chooses scales, plans distribution and sample, and analyzes results the user provides. Never fabricates responses.

  • use-case-discovery

    Use when running or preparing an AI (or automation) use-case discovery session with a team or client. Structures the session, captures candidate use cases, and scores them on value, feasibility, data readiness, and risk into a ranked backlog. Uses only what participants provide; never invents use ca

  • workshop-designer

    Use when designing a workshop, training session, or facilitated exercise (AI enablement, process mapping, prioritization, retrospectives). Produces objectives, agenda with timings, exercises with instructions, materials, facilitation notes for skeptics and dominant voices, and follow-up actions. The

Slash commands (4)

  • /consultant-augmentor:discover

    Plan a use-case discovery session and scoring rubric

  • /consultant-augmentor:roi

    Build a transparent ROI model from your inputs

  • /consultant-augmentor:scope

    Draft an engagement or project scope with phases and commercials

  • /consultant-augmentor:stress-test

    Adversarially review a recommendation or proposal before it ships

Subagents (2)

  • assumption-auditor

    Read-only auditor for ROI models, forecasts, and business cases (markdown, CSV, or spreadsheet exports). Lists every input and assumption, traces which outputs depend on it, flags unsourced numbers, and identifies the inputs that swing the result most.

  • proposal-critic

    Read-only critic for proposals, scopes, SOWs, and business cases. Reads as the buyer: checks clarity of outcomes, scope boundaries, unsupported numbers, risky commitments, missing client responsibilities, and pricing math. Use for a final check before sending.

View source on GitHub

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