198 skills · sorted by relevance
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Guide an AI agent through feature development, bug fixes, and refactoring with clear requirements, explained design choices, and small, tested changes. Keep human decisions central while making progress and verification results visible.
Build agent memory with ReasoningBank and AgentDB. Record actions and outcomes, retrieve similar experiences, assess results, and consolidate memories into reusable patterns so agents can draw on past work when making decisions.
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.
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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