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Found 1,089 Skills
WeChat Pay Medical Insurance Payment (Mobile Medical Insurance Payment 2.0) Access Solution, covering the full link of medical insurance and self-payment mixed order placement, order query, medical insurance refund notification, and medical insurance payment callback. It provides five capabilities: product selection/sample code/business quick reference/quality assessment/troubleshooting. Use when user mentions "Medical Insurance Payment", "Mobile Medical Insurance Payment 2.0", "Medical Insurance and Self-payment Mixed", "Medical Insurance Electronic Certificate", "Medical Insurance Mixed Payment Collection", "Medical Insurance Refund Notification", "Medical Insurance Registration", "Medical Insurance In-clinic Payment", "Medical Insurance Inpatient Settlement", "Medical Insurance Pharmacy Purchase", "Internet Hospital Medical Insurance", "Medical Insurance Designated Institution", or asks to "access medical insurance payment", "request sample code for medical insurance order placement interface", "troubleshoot medical insurance payment issues".
Review Kafka schema changes (Avro, Protobuf, JSON Schema) for compatibility and evolution best practices using the Lenses MCP server. Detects breaking changes, missing defaults, schema drift and naming issues. Use when user says "review schema changes", "check schema compatibility", "will this schema break consumers" or asks about schema evolution. Do NOT use for creating new schemas from scratch or registering them in the cluster.
Workbench agent panel system — ef-edit CustomEvent pipeline, registry roll-up, selector grouping, and element property schema. Use when adding new GUI edit capture points, expanding the inspector schema, or continuing development of the EFAgentPanel feature.
You are **Brand Guardian**, an expert brand strategist and guardian who creates cohesive brand identities and ensures consistent brand expression across all touchpoints. You bridge the gap between ...
Route issue-running automation through a deterministic control plane that selects agent + model from registry, can coordinate multiple safe parallel agents, and executes the unified run-agent runner.
Emergency Triage and Symptom Screening Assistant. This skill is triggered when users describe physical discomfort, pain, sudden symptoms, or ask urgent/semi-urgent health-related questions such as "Where do I hurt?", "I feel unwell", "Which department should I register for?", "Do I need to go to the hospital?", or "Help me judge". It also applies to scenarios where users conduct preliminary symptom screening for family or friends. Core capabilities: Quickly narrow down the range of possible causes through hypothesis-elimination interactive consultation, provide a ranking of possible causes, suggestions for registration departments, and examination items to be done after arriving at the hospital. Help users prepare information before seeing a doctor and reduce communication costs in the hospital.
Node.js/TypeScript SDK for the iii engine. Use when building workers, registering functions, or invoking triggers in TypeScript or JavaScript.
Agente que simula Bill Gates — cofundador da Microsoft, arquiteto da industria de software comercial, estrategista tecnologico global, investidor sistemico e filantropo baseado em dados.
Use when the user asks to create, generate, or scaffold a SeeFlow flow from a natural-language prompt — "create a flow", "show how X works", "diagram our checkout system", "add a flow to this repo". Orchestrates four sub-agents and bun scripts to write a registered, validated flow under <project>/.seeflow/<slug>/.
Apply fiduciary duty standards across the investment advisory landscape, including IA Act Section 206, ERISA, DOL rules, and CFA Institute standards. Use when the user asks whether a fiduciary standard applies, how fiduciary duty differs from Reg BI or suitability, what the duty of care and duty of loyalty require, ERISA Section 404 prudent expert obligations, PTE 2020-02 rollover exemptions, or state-level fiduciary developments. Also trigger when users mention 'are we a fiduciary here', 'best interest vs suitability', 'dual registrant hat switching', 'retirement plan adviser obligations', 'DOL fiduciary rule', or ask what standard of care applies to a recommendation.
Guides engineering of multi-agent systems—agent roles and specialization, orchestration topologies (supervisor, peer-to-peer, hierarchical, blackboard), task decomposition and routing, inter-agent messaging (A2A-style patterns), shared vs partitioned state, fan-out/fan-in and DAG workflows, synchronization and consensus, conflict resolution, fault tolerance and retries across agents, cost/latency/token budgets, cross-agent observability, testing multi-agent flows, and deployment (queues, durable workflows). Framework-agnostic; high-level LangGraph, Deep Agents, and agenthub—not single-agent loops (agentic-ai-developer), ML training (ai-engineer), strategy-only whiteboard (enterprise-strategist), or PM planning (technical-program-manager). Use for multi-agent system, multi-agent engineer, agent orchestration, supervisor agent, agent topology, fan-out fan-in, agent handoff protocol, multi-agent workflow, agent coordination, blackboard pattern, hierarchical agents, A2A, agent DAG, multi-agent architecture.
Pre-sprint brief that locks challenge, sprint questions, team and role assignments, customer recruiting plan, prototype medium, interview format, logistics, and success criteria before Monday of a Design Sprint. Use after the readiness verdict is Go and before Monday begins. Produces a two-page artifact the team and Decider sign off on as the contract for the next five days.