By secondsky
Manage Cloudflare Workers KV end-to-end: interactively set up production/preview namespaces with wrangler bindings and TypeScript types, test CRUD operations and connections, analyze/optimize code for performance/cost via anti-pattern detection and refactoring agents, debug KV_ERROR/429 limits/consistency issues with diagnostics and fixes.
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npx claudepluginhub secondsky/claude-skills --plugin cloudflare-kvThis skill provides comprehensive guidance for SAP BTP Job Scheduling Service development, configuration, and operations. It should be used when creating, managing, or troubleshooting scheduled jobs on SAP Business Technology Platform. The skill covers service setup, REST API usage, schedule types and formats, OAuth 2.0 authentication, multitenancy, Cloud Foundry tasks, Kyma runtime integration, and monitoring with SAP Cloud ALM and Alert Notification Service. Keywords: SAP BTP, Job Scheduling, jobscheduler, cron, schedule, recurring jobs, one-time jobs, Cloud Foundry tasks, CF tasks, Kyma, OAuth 2.0, XSUAA, @sap/jobs-client, REST API, asynchronous jobs, action endpoint, run logs, SAP Cloud ALM, Alert Notification Service, multitenancy, tenant-aware, BC-CP-CF-JBS
Production-ready SAP BTP best practices for enterprise architecture, account management, security, and operations. Use when planning BTP implementations, setting up account hierarchies, configuring environments, implementing authentication, designing CI/CD pipelines, establishing governance, building Platform Engineering teams, implementing failover strategies, or managing application lifecycle on SAP BTP. Keywords: SAP BTP, account hierarchy, global account, directory, subaccount, Cloud Foundry, Kyma, ABAP, SAP Identity Authentication, CI/CD, governance, Platform Engineering, failover, multi-region, SAP BTP best practices
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, Llama, Gemini, Mistral), 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.
SAP BTP Cloud Integration Automation Service (CIAS) skill for guided integration workflows. Use when: setting up CIAS subscriptions, configuring destinations, assigning roles (CIASIntegrationAdministrator, CIASIntegrationExpert, CIASIntegrationMonitor), planning integration scenarios, working with My Inbox tasks, monitoring scenario execution, troubleshooting CIAS errors, creating OAuth2 instances, configuring identity providers for CIAS, understanding CIAS security architecture, or integrating SAP products (S/4HANA, SuccessFactors, BTP services, SAP Build, IBP).
SAP HANA Machine Learning Python Client (hana-ml) development skill. Use when: Building ML solutions with SAP HANA's in-database machine learning using Python hana-ml library for PAL/APL algorithms, DataFrame operations, AutoML, model persistence, and visualization. Keywords: hana-ml, SAP HANA, machine learning, PAL, APL, predictive analytics, HANA DataFrame, ConnectionContext, classification, regression, clustering, time series, ARIMA, gradient boosting, AutoML, SHAP, model storage
Vercel KV (Redis-compatible key-value storage via Upstash). Use for Next.js caching, sessions, rate limiting, TTL data storage, or encountering KV_REST_API_URL errors, rate limit issues, JSON serialization errors. Provides strong consistency vs eventual consistency.
Official Cloudflare developer platform skill for Workers, Durable Objects, R2, D1, KV, AI, and 50+ services.
Official Cloudflare MCP server - 2,500+ API endpoints via Code Mode in just 2 tools (~1k tokens). Full platform access including Workers, Pages, D1, KV, R2, DNS, Zones, and more
Cloudflare Workers, AI, Workflows, and VPC services development
Expert Cloudflare platform system with comprehensive 2025-2026 knowledge for Workers, Pages, R2, D1, KV, Hyperdrive, Durable Objects, Queues, Workflows, AI Workers (TTS/STT/captioning), Zero Trust, MCP servers, and edge computing. PROACTIVELY activate for: (1) ANY Cloudflare task, (2) Workers development (Wrangler CLI, bindings, cron triggers), (3) AI Workers (Whisper, Aura TTS, Deepgram, image captioning, LLM inference), (4) Storage (R2 S3-compatible, D1 SQLite, KV, Durable Objects, Queues), (5) Hyperdrive database connection pooling, (6) Zero Trust (WARP, tunnels, access policies, identity), (7) MCP servers (remote/local, OAuth, Streamable HTTP), (8) Pages and static site deployment, (9) CI/CD (GitHub Actions, Workers Builds), (10) Observability (Workers Logs, traces, OpenTelemetry), (11) Load balancing and health checks, (12) Vectorize vector database, (13) Workflows durable execution, (14) Cost optimization and performance tuning. Provides: Complete Wrangler CLI reference, all binding configurations (KV/R2/D1/Durable Objects/Queues/Hyperdrive), AI model catalog with pricing, MCP server development patterns, Zero Trust implementation guides, CI/CD workflows, observability setup, and production-ready 2026 configurations.
Ultra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.