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Found 9,687 Skills
Shortcut integration. Manage data, records, and automate workflows. Use when the user wants to interact with Shortcut data.
Build AI agent UIs using the AG-UI protocol with pydantic-ai (Python backend) and CopilotKit (React frontend). Use when creating agentic chat interfaces, human-in-the-loop workflows, generative UIs with state management, tool-based rendering, shared state between frontend and backend, or predictive state updates. Covers FastAPI integration, state events (StateSnapshotEvent, StateDeltaEvent, CustomEvent), useCoAgent hooks, useCopilotAction for tool rendering, and real-time agent-frontend synchronization.
Infisical integration. Manage data, records, and automate workflows. Use when the user wants to interact with Infisical data.
Guides development of Fastify Node.js backend servers and REST APIs using TypeScript or JavaScript. Use when building, configuring, or debugging a Fastify application — including defining routes, implementing plugins, setting up JSON Schema validation, handling errors, optimising performance, managing authentication, configuring CORS and security headers, integrating databases, working with WebSockets, and deploying to production. Covers the full Fastify request lifecycle (hooks, serialization, logging with Pino) and TypeScript integration via strip types. Trigger terms: Fastify, Node.js server, REST API, API routes, backend framework, fastify.config, server.ts, app.ts.
Analyze medication adherence and management platforms including dose tracking accuracy (MPR, PDC metrics), drug-drug and drug-food interaction checking completeness, refill prediction algorithms, dosage schedule optimization with conflict detection, caregiver notification escalation workflows, pharmacy system integration (NCPDP, HL7 FHIR), adverse event signal detection, smart dispenser integration, and alert fatigue mitigation for patient safety systems.
Reference implementations for Factorial Code — a complete marketplace payroll integration (outbound sync with file-export and API-push delivery flavors), a multi-process custom app lifecycle (multi-step setup form, webhook + schedule install, polling, uninstall), and utility processes (CSV export with signed URL + email, XML enrichment from an uploaded file). Use when building a Factorial Code (fcode) integration, custom app, or automation end to end and you want a proven, working pattern to adapt — read the matching reference before writing code.
Use this skill when scoping Google Play alternative billing work with RevenueCat Android SDK 10.x. Documents the current support status, which flows RevenueCat abstracts and which require direct integration at the time the chapter was written.
Comprehensive guide to Harper's Model Context Protocol (MCP) interface, covering server setup, client connection, automatic and custom tools, prompts, resources, rate limiting, durable quotas, and the security model. Triggers on tasks involving MCP servers on Harper, AI-client integration, and exposing Harper data or behavior to LLM agents.
AE Data Development and Operations: Data warehouse management, flow orchestration, IDE queries, and data integration
Top-level interactive coordinator for Employee Service (ITSM) channel setup. Presents menu of channel setup options (Teams, Slack, Swarming, Notifications, Portal) and delegates to the corresponding skill. Use this for: 'setup ITSM channels', 'configure employee service channels', 'set up service cloud communication channels', 'I want to configure ITSM integrations', or any general request for ITSM channel/integration setup where the user hasn't specified exactly which channel they want. DO NOT TRIGGER for requests that already name a specific channel or child skill (e.g. 'configure Teams', 'set up Slack', 'enable Swarming', 'configure ITSM notifications', 'create an employee portal') — route directly to the matching child skill instead.
Complete guide for WeChat Mini Program authentication with CloudBase - native login, user identity, and cloud function integration.
Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production. Use when: langfuse, llm observability, llm tracing, prompt management, llm evaluation.