'decision-making' 검색 결과

Create AgentDB learning plugins that use recorded experience to improve agent decisions. Choose a learning method, store states, actions, and rewards, train models, and evaluate suggested actions through CLI and API workflows.

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• Train agents from historical experience
• Build decision-making for games and navigation
• Combine experience from multiple agents for training

Understand customer decisions and turn psychological principles into practical marketing ideas. The skill explains relevant thinking tools and behavioral patterns, then suggests ethical applications for pricing, trust, messaging, onboarding, retention, and deciding which marketing problems to address first.

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• Exploring why customers hesitate to purchase
• Reviewing how prices and plans are presented
• Building trust through testimonials and evidence

Organize treatment decisions already supplied and verified by authorized licensed professionals into local JSON documents. Check document structure, source references, declared review status, and supplied dates to support documentation handoffs without making clinical decisions.

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• Organize verified clinician-authored treatment records
• Check source references and missing documentation fields
• List checkpoint dates already supplied by clinicians

Choose between REST, GraphQL, and tRPC based on who uses an API and how it is deployed. Define consistent responses, pagination, authentication, and versioning, supported by concrete request examples and failure cases.

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• Choose an API style for known clients
• Standardize response and error formats
• Design pagination for changing data

Make system architecture decisions by clarifying requirements and constraints, comparing benefits and drawbacks, and considering simpler alternatives. Record the reasoning in ADRs, architecture decision records, so significant choices and their rationale are documented.

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• Clarifying requirements before system design
• Comparing architecture patterns
• Documenting decisions and rationale in ADRs

Add social-emotional learning—practicing emotional awareness, self-management, empathy, and collaboration—to subject lessons in OpenMAIC. It connects these goals to academic concepts through discussion, choices, feedback, retries, and reflection.

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• Adding emotional check-ins to the start of a subject lesson
• Practicing empathy through discussion of different viewpoints
• Building feedback and retry paths into learning activities

Design meeting schedules, weekly metric reports, and quarterly planning for growing companies. Clarify who makes decisions, assign owners to priorities, and structure written updates so teams can coordinate work and reserve meetings for issues needing discussion.

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• Redesign meetings that fail to produce decisions
• Standardize weekly business metric reports
• Align quarterly priorities and resources across teams

Choose how an API, the interface software uses to exchange data, should work. Covers REST, GraphQL, and tRPC selection, consistent responses, pagination, versioning, authentication, request limits, documentation, and security review considerations.

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• Choosing between REST, GraphQL, and tRPC
• Standardizing API responses, errors, and pagination
• Planning authentication, request limits, and versioning

Make system design decisions by clarifying requirements, identifying constraints, and comparing the benefits and drawbacks of different approaches. Record the reasoning in architecture decision records, or ADRs, while considering simpler alternatives and the team's experience.

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• Organizing requirements before designing a system
• Comparing architectural patterns and trade-offs
• Documenting the reasons behind design decisions

Plan mobile app screens and interactions around touch, performance, offline use, and platform conventions. The skill guides design decisions and implementation checks for React Native, Flutter, and native iOS or Android apps.

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• Planning screens for one-handed use
• Reviewing slow lists and animations
• Designing loading, error, and offline states

Apply psychology and behavioral science to marketing decisions. The skill selects relevant thinking models, explains customer behavior, and suggests ethical changes to pricing, messaging, purchase journeys, and campaign priorities.

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• Understand why customers hesitate to buy
• Review pricing plans and how prices are presented
• Simplify signup and purchase journeys

Structure executive decisions, compare business scenarios, and prepare board or investor communications. Provides strategy and financial analysis scripts, decision checklists, and templates for organizing company priorities, leadership routines, and organizational culture initiatives.

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• Develop a strategy and prioritize initiatives
• Compare financial scenarios for business plans
• Prepare board materials and investor updates

Apply behavioral science to marketing pages, pricing, ads, and customer journeys. Use a catalog of over 70 mental models to diagnose barriers to action and develop concrete recommendations suited to the audience and goal.

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• Diagnosing why a landing page gets few sign-ups
• Reviewing pricing tiers and discount presentation
• Improving email and ad messaging

Analyze financial statements, compare budgets with actual results, and forecast revenue and cash flow. Estimate company value using DCF, which discounts future cash flows, and produce reports with scenario comparisons and sensitivity tables for business decisions.

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• Assess financial health using key ratios
• Estimate company value and compare valuation assumptions
• Explain budget differences by department

Support executive decisions by comparing strategic options, risks, trade-offs, and financial scenarios. Prepare board narratives and likely questions, assess fundraising readiness, review leadership metrics, and organize approaches to organizational culture and stakeholder communication.

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• Comparing strategic options and investment priorities
• Preparing a board narrative and anticipated questions
• Assessing fundraising readiness and timing

Map stakeholders using two grids: power versus interest, and impact versus power. Compare the results to decide how closely to involve each group, identify overlooked voices, and plan concrete actions to increase their participation.

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• Prioritizing stakeholder involvement before a roadmap review
• Finding affected groups with little decision-making power
• Revisiting stakeholder strategy after a reorganization

Transform an AI agent into a tasteful, disciplined development partner. Not just a code generator, but a collaborator with professional standards, transparent decision-making, and craftsmanship. Use for any development task: building features, fixing bugs, designing systems, refactoring. The human provides vision and decisions. The agent provides execution with taste and discipline.

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Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.

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Present options with trade-offs for informed decision-making — use when choosing between approaches

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Format and structurally validate local treatment-plan documentation after clinical decisions have already been supplied and verified by authorized licensed professionals. Use for source traceability, clinician-authored intervention records, goals and checkpoints, shared-decision records, reconciliation handoffs, and release gates—not for clinical decision-making.

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Evidence-based medical knowledge and research mentor grounded in the Bian Que tradition. Covers clinical reasoning, diagnostic thinking (望闻问切), pharmacology, pathology, differential diagnosis, medical literature appraisal, and the philosophy of early intervention. Trigger whenever users ask about medicine, clinical science, drugs, disease mechanisms, diagnosis, lab interpretation, treatment comparison, or health sciences. Even without explicit research framing, trigger on any topic touching disease, therapeutics, or clinical decision-making. Part of the AIPOCH Medical Research Skill Hub.

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Design NPC and enemy decision-making with finite state machines, behavior trees, steering behaviors, and A* pathfinding — engine-neutral algorithms that pair with the detected engine's navigation API. Use when building enemy AI, an FSM or behavior tree, steering/flocking, or pathfinding, or when the user mentions state machine, behavior tree, blackboard, A*, navmesh, seek, or patrol/chase.

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Send your position to a meeting instead of your body — a one-page brief carrying your stances, fallbacks, red lines, tradables, and delegation limits, readable by the colleague (or agent) representing you. Use when you can't attend a decision-making meeting, when double-booked, when briefing someone to negotiate for you, or 'what would you need from me to represent me?'. Produces the clone brief plus a 60-second verbal version for the person carrying it.

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Help users master the high-stakes communication required to navigate executive reviews, board meetings, and strategic decision-making with clarity and confidence.

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