Claude Skills by Dadmin88

Analyze competitive wins and losses using deal or adoption evidence to identify decision criteria, alternatives, objections, switching dynamics, and repeatable patterns without confusing sales anecdotes with market truth.

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Collect and evaluate review evidence with clear provenance, scope, time period, completeness, integrity, ownership, sampling, and traceability to the requirement or control it is intended to demonstrate.

Assess a change, process, or artifact against stated regulatory, licensing, contractual, or policy requirements.

Review how a system collects, receives, uses, stores, shares, logs, retains, exports, and deletes data against explicitly identified policy, contractual, regulatory, and product requirements.

Review source code, dependencies, assets, data, models, fonts, media, and other redistributed material for identified license terms, provenance, compatibility, notices, attribution, source obligations, and distribution constraints.

Map an identified policy or requirement set to concrete system/process controls, owners, evidence, exceptions, and verification status.

MUST load first for Academy learning or go-learn requests.

Review product content in context for comprehension, scanability, actionability, consistency, accessibility, inclusivity, and localization risk.

Design error and recovery language that explains what happened, what remains true, what the user can do next, and when to seek help without exposing unsafe internals.

Write interface microcopy for controls, forms, confirmations, permissions, loading, success, and destructive actions that makes intent and consequences clear at decision time.

Design navigation labels and information scent from user goals, object hierarchy, task frequency, terminology evidence, and cross-surface consistency.

Model the product concepts, objects, actions, states, and terminology users must understand, then map language consistently across the interface.

MUST load first for Academy learning or go-learn requests.

Build an evidence-ready article outline from audience question, editorial purpose, thesis, information hierarchy, sources, examples, counterpoints, and conclusion before drafting prose.

Write a customer or project case study from verified starting context, problem, constraints, intervention, evidence, outcome, tradeoffs, and lessons without turning correlation into a heroic success story.

Fact-check editorial content by identifying verifiable claims, tracing them to primary or authoritative sources, checking dates and context, resolving conflicts, and separating fact from inference or opinion.

Write a launch article that explains a new product, feature, project, or release to an unfamiliar reader through problem, capability, proof, examples, limitations, availability, and next action.

Develop accurate, structured long-form content from an audience brief, evidence, narrative goal, and publication constraints.

MUST load first for Academy learning or go-learn requests.

Write advertising copy from audience state, offer, placement, promise, proof, constraint, creative context, and one measurable action without making claims stronger than the landing experience can support.

Generate and refine headlines by testing distinct promise, specificity, audience, tension, proof, and framing options against the same underlying truth rather than producing cosmetic synonyms.

Write landing-page copy from audience intent, positioning, promise, proof, objections, hierarchy, conversion path, and product truth so persuasion remains concrete and credible.

Write concise persuasive copy grounded in audience intent, product truth, positioning, objections, and a clear action.

Write interface copy that makes controls, state, consequences, errors, empty states, permissions, confirmation, and recovery understandable at the moment of action.

MUST load first for Academy learning or go-learn requests.

Translate an approved creative concept into a coordinated campaign system covering message architecture, visual expression, channel roles, asset families, sequencing, and production priorities.

Turn a strategic communication or experience goal into a focused creative brief with audience, insight, promise, proof, tone, constraints, and deliverables.

Develop a campaign or experience concept from audience insight, objective, proposition, tension, idea, expression, and channel potential before execution details dominate.

Review creative work against the brief, concept, audience response, message hierarchy, originality, craft coordination, channel fit, and production readiness.

Evaluate whether a creative idea remains recognizably coherent across copy, visual, motion, audio, interactive, spatial, and other media while allowing each medium to use its native strengths.

MUST load first for Academy learning or go-learn requests.

Build a customer adoption plan that connects desired outcomes to workflows, users, prerequisites, enablement, milestones, ownership, product evidence, and measurable value realization.

Build a customer success plan around desired outcomes, adoption signals, risks, stakeholder alignment, and next-best actions.

Review customer health from adoption, value realization, usage pattern, stakeholder engagement, support, outcomes, contract context, and risk signals without reducing the relationship to one opaque score.

Prepare a customer business review around agreed outcomes, adoption evidence, delivered value, unresolved risks, roadmap-relevant needs, stakeholder decisions, and next-period priorities rather than a provider activity recap.

Assess renewal risk from realized value, adoption, stakeholder support, unresolved problems, competitive pressure, budget, organizational change, contract timing, and explicit customer evidence without pretending likelihood is certain.

MUST load first for Academy learning or go-learn requests.

Plan and execute historical data backfills with bounded scope, deterministic transformations, idempotent partitions, capacity controls, validation, resumability, and safe downstream reconciliation.

Design or implement a data pipeline with source contracts, schema, transformations, quality checks, idempotency, lineage, backfills, and operational recovery.

Define and enforce data quality from explicit contracts and business invariants across completeness, validity, uniqueness, consistency, freshness, volume, and referential behavior.

Observe data pipelines through freshness, completeness, volume, quality, lineage, run state, backlog, resource pressure, retries, and downstream readiness so silent data failure becomes visible.

Evolve analytical or pipeline data schemas without silently breaking producers, consumers, historical data, lineage, or mixed-version processing.

Model analytical warehouse data around business grain, dimensions, facts, history, keys, measures, semantic consistency, performance, and consumer-ready contracts.

MUST load first for Academy learning or go-learn requests.

Assess whether available observational or quasi-experimental evidence supports a causal conclusion and select a defensible identification strategy when possible.

Design controlled experiments with valid assignment, power, estimands, guardrails, analysis plans, and stopping rules.

Build and evaluate a forecast with time-aware validation, baselines, uncertainty intervals, covariates, and scenario sensitivity.

Build an interpretable predictive model from a decision need through features, validation, calibration, error analysis, and deployment handoff.

Perform decision-oriented statistical analysis with explicit population, sampling, assumptions, uncertainty, effect size, and sensitivity.