Claude Skills by Dadmin88

Analyze market trends by separating durable structural change from short-lived attention using time-series evidence, adoption signals, drivers, constraints, counter-signals, and scenario implications.

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

Design a marketing campaign strategy from objective, audience, positioning, behavioral journey, offer or proposition, message sequence, channel roles, timing, budget logic, and measurement.

Choose and govern marketing channels from audience behavior, message fit, economics, control, measurement, lifecycle role, operational capability, and diversification rather than platform fashion.

Build a go-to-market plan connecting audience, positioning, message, proof, channels, launch motion, measurement, and follow-through.

Design marketing measurement from business outcomes through leading indicators, metric definitions, attribution and experiment methods, data sources, reporting cadence, ownership, and decision thresholds.

Build a messaging framework from positioning into audience-specific promise, supporting pillars, proof, objections, terminology, message hierarchy, and channel guidance without turning every artifact into identical copy.

Define product positioning from target customer, category or frame, primary problem, differentiated value, alternatives, proof, and intentional tradeoffs so the market understands why this offering is the right choice.

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

Optimize inference using profiling, precision/quantization, batching, cache, kernel/runtime, and model choices without silently violating quality.

Observe ML systems across input drift, output quality proxies, latency, errors, resource use, model/version mix, evaluation regressions, and rollback signals.

Build a reproducible ML pipeline that pins code, data, environment, configuration, seeds, metrics, and model artifacts from training through evaluation.

Manage model artifacts through candidate, validated, staged, production, superseded, and retired states with provenance, approvals, compatibility, and rollback.

Deploy and operate model inference with explicit batching, concurrency, memory, routing, health, rollout, fallback, and compatibility behavior.

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

Design a mobile application around lifecycle, navigation, state ownership, native boundaries, offline behavior, background execution, and platform conventions.

Integrate mobile permissions and device APIs with least privilege, contextual prompts, denied/restricted recovery, capability detection, and platform-specific behavior.

Build, sign, package, and validate mobile releases across device/OS matrix, permissions, upgrades, deep links, background behavior, crash reporting, and store constraints.

Implement offline-first or offline-tolerant mobile state with local persistence, pending operations, conflict policy, retry, connectivity changes, and reconciliation.

Implement push notifications and deep links across cold start, background, foreground, authentication, navigation, duplication, and stale content states.

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

Design and evaluate a commercial experiment for pricing, packaging, value metrics, offers, or upgrade paths using an explicit hypothesis, measurable outcomes, guardrails, segmentation, and reproducible evidence.

Design or evaluate monetization using customer value, willingness to pay, packaging, pricing metric, unit economics, incentives, and market context.

Design product packages or tiers by grouping customer outcomes, capabilities, limits, service levels, and expansion paths into understandable offers that support segmentation without arbitrary feature hostage-taking.

Design pricing strategy around customer value, segments, willingness to pay, value metric, competitive context, unit economics, adoption friction, and long-term positioning rather than copying market price points.

Model unit economics using explicit revenue, variable cost, gross margin, acquisition, retention, expansion, service burden, and cohort assumptions so monetization decisions reflect sustainable value creation.

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

Prepare motion deliverables for engineering, video, web, social, or runtime use with correct dimensions, frame rate, alpha, color, compression, loop points, states, timing specs, and source traceability.

Design interaction animation that communicates cause, state, hierarchy, and continuity while remaining responsive, interruptible, accessible, and implementable.

Design motion that communicates hierarchy, causality, state change, brand character, and pacing while respecting accessibility and performance.

Define reusable motion principles and patterns for hierarchy, continuity, feedback, transitions, emphasis, duration, easing, and reduced-motion alternatives.

Storyboard linear or interactive motion using beats, framing, action, transitions, timing intent, audio or dialogue relationships, and production dependencies before expensive animation begins.

Design timing and easing from perceived responsiveness, distance, mass, hierarchy, urgency, continuity, and platform behavior rather than arbitrary animation constants.

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

Design player choices whose options, information, costs, consequences, feedback, and delayed effects create meaningful agency without impossible content multiplication.

Produce an implementation-ready narrative design packet with state variables, triggers, conditions, IDs, quest graph, dialogue/lore dependencies, telemetry hooks, and test scenarios.

Model persistent narrative state across characters, factions, quests, world events, knowledge, choices, and time so content can react consistently.

Design a quest or mission as an interactive state graph with player goals, entry conditions, objectives, choices, branches, failure/recovery, rewards, and world-state consequences.

Design narrative that emerges through systems, environment, simulation, item/state changes, NPC behavior, and player action rather than exposition alone.

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

Analyze onboarding activation by identifying the earliest behaviors that predict durable value, measuring time and path to those behaviors, and separating correlation from useful product signals.

Diagnose onboarding dropoff by locating the first meaningful friction point and distinguishing comprehension, motivation, trust, technical failure, prerequisite, latency, and audience-fit causes using quantitative and qualitative evidence.

Write and evaluate onboarding copy that helps a new user understand value, choose the next action, recover from uncertainty, and complete setup without unnecessary explanation or product jargon.

Design onboarding experiments around a specific activation hypothesis using clear treatment, assignment, funnel instrumentation, experience guardrails, and downstream retention evidence.

Design onboarding that moves a new user from initial intent to first meaningful value with minimal friction and measurable activation.

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

Triage open-source issues and pull requests by validity, reproduction, scope, project fit, duplication, risk, ownership, and next action while preserving contributor context.

Create and operate a contributor path from project orientation through environment setup, issue selection, implementation expectations, review, and recognition.

Manage maintainer backlog using age, impact, dependency, contributor expectation, security/release relevance, and capacity instead of letting queues decay invisibly.

Coordinate open-source release-facing maintenance including dependency updates, contributor credit, changelog inputs, upgrade notes, compatibility signals, and post-release repository follow-up.