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Found 1,703 Skills
This skill should be used when building data processing pipelines with CocoIndex v1, a Python library for incremental data transformation. Use when the task involves processing files/data into databases, creating vector embeddings, building knowledge graphs, ETL workflows, or any data pipeline requiring automatic change detection and incremental updates. CocoIndex v1 is Python-native (supports any Python types), has no DSL, and is currently under pre-release (version 1.0.0a1 or later).
Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP. Use when: deploying generative AI models (GPT, Claude, Gemini, Llama), building orchestration workflows with templating/filtering/grounding, implementing RAG with vector databases, managing ML training pipelines with Argo Workflows, configuring content filtering and data masking for PII protection, using the Generative AI Hub for prompt experimentation, or integrating AI capabilities into SAP applications. Covers service plans (Free/Standard/Extended), model providers (Azure OpenAI, AWS Bedrock, GCP Vertex AI, Mistral, IBM), orchestration modules, embeddings, tool calling, and structured outputs.
Senior Data Security Architect & Forensic Auditor for 2026. Specialized in Row Level Security (RLS) enforcement, Zero-Trust database architecture, and automated data access auditing. Expert in neutralizing unauthorized access in Convex, Supabase, and Postgres environments through strict policy validation, JIT (Just-in-Time) access controls, and forensic trace analysis.
Query the code graph database to understand component relationships, dependencies, and change impact. Use when the user asks to "find callers", "check dependencies", "what uses this", "show relationships", "find serializers", or when reading code and needing to understand what depends on a component before modifications.
Comprehensive performance specialist covering analysis, optimization, load testing, and framework-specific performance. Use when identifying bottlenecks, optimizing code, conducting load tests, analyzing Core Web Vitals, fixing memory leaks, or improving application performance across all layers (application, database, frontend). Includes React-specific optimization patterns.
Implement, review, or improve CloudKit and iCloud sync in iOS/macOS apps. Use when working with CKContainer, CKRecord, CKQuery, CKSubscription, CKSyncEngine, CKShare, NSUbiquitousKeyValueStore, or iCloud Drive file coordination; when syncing SwiftData models via ModelConfiguration with cloudKitDatabase; when handling CKError codes for conflict resolution, network failures, or quota limits; or when checking iCloud account status before performing sync operations.
Optimize Entity Framework Core queries by fixing N+1 problems, choosing correct tracking modes, using compiled queries, and avoiding common performance traps. Use when EF Core queries are slow, generating excessive SQL, or causing high database load.
Salesforce Data Cloud Connect phase. TRIGGER when: user manages Data Cloud connections, connectors, connector metadata, tests a connection, browses source objects or databases, or sets up a new source system. DO NOT TRIGGER when: the task is about data streams or DLOs (use sf-datacloud-prepare), DMOs or identity resolution (use sf-datacloud-harmonize), retrieval/search (use sf-datacloud-retrieve), or STDM telemetry (use sf-ai-agentforce-observability).
Unify EliteForge Java coding specifications, covering code style, comment specifications, POJO/enum/util classes, control statements, logging, concurrency, MyBatis-Plus, transactions, Spring, inter-service calls, Maven, databases, gateways, interface management, project structure, etc. Use this when users mention terms like "Java specification", "coding specification", "code style", "enum writing", "POJO specification", "logging specification", "transaction processing", "inter-service calls", "interface prefix", "domain model", "Maven version", "internationalization".
TensorLake SDK for building agentic workflows, sandboxed code execution, and document parsing/extraction. Use when the user mentions tensorlake, or asks about TensorLake APIs/docs/capabilities. Also use when the user is building AI agents or agentic applications that need serverless workflow orchestration (parallel map/reduce DAGs), sandboxed execution of LLM-generated code, or document parsing, structured extraction, and OCR from PDFs/images. Works with any LLM provider (OpenAI, Anthropic), agent framework (LangChain, CrewAI, LlamaIndex), database, or API as the infrastructure layer.
This skill should be used when the user asks to "create Dataverse tables", "set up the data model", "setup dataverse", "create tables for my site", "setup dataverse schema", "create the database", "build my data model", or wants to create Dataverse tables, columns, and relationships for their Power Pages site based on a data model proposal.
Reply.io platform help — multichannel sequences (email, LinkedIn, calls, SMS, WhatsApp), Jason AI SDR, B2B database, email warmup, deliverability tools, unified inbox, analytics, Salesforce/HubSpot integration, agency features. Use when asking 'how do I do X in Reply.io', setting up Reply.io sequences, configuring Jason AI, connecting Reply.io to Salesforce or HubSpot, using Reply.io warmup, or troubleshooting Reply.io deliverability. Do NOT use for general outbound cadence strategy (use /sales-cadence), cross-platform email deliverability (use /sales-deliverability), email tracking strategy (use /sales-email-tracking), building prospect lists (use /sales-prospect-list), or connecting Reply.io to other tools via Zapier (use /sales-integration).