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Found 130 Skills
Optimize Guidewire InsuranceSuite performance including query optimization, batch processing, caching, and JVM tuning. Trigger with phrases like "guidewire performance", "slow queries", "optimize policycenter", "batch processing", "query tuning".
Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations
Use when batch-resolving approved todos, especially after code review or triage sessions
Design and implement integration architectures connecting financial systems — APIs, FIX protocol, ISO 20022, event-driven patterns, batch feeds, idempotency, and resilience. Use when building custodian integration pipelines, implementing FIX connectivity for order routing, designing ISO 20022 or SWIFT migration messaging, building batch file processing for custodian feeds or EOD reconciliation, implementing idempotency for transaction APIs, designing retry or circuit breaker patterns, mapping data between systems with different schemas, or troubleshooting integration failures causing recon breaks. Trigger on: FIX protocol, ISO 20022, custodian feed, batch processing, API design, idempotency, circuit breaker, dead letter queue, data mapping, integration architecture, SWIFT migration, mTLS, file feed, event-driven, message broker.
Run GPU workloads on Modal — training, fine-tuning, inference, batch processing. Zero-config serverless: no SSH, no Docker, auto scale-to-zero. Use when user says "modal run", "modal training", "modal inference", "deploy to modal", "need a GPU", "run on modal", "serverless GPU", or needs remote GPU compute.
Routes PubNub events to external systems with no code via Events & Actions (E&A). Covers event listeners (Messages, Users, Channels, Push, Memberships), action targets (Webhook, SQS, Kinesis, S3, Kafka, IFTTT, AMQP), filter types (basic vs JSONPath), retry policy, envelopes, and batching. Use when integrating PubNub with Lambda, Kafka, SQS, S3, EventBridge, an analytics pipeline, or any external system.
Convert PDF to PowerPoint presentations
Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration
Use when asked to inspect video file metadata, get video duration, resolution, codec information, frame rate, or bitrate.
Use when generating 50+ structured items with parallel Claude Code subagents and merging outputs into one file.
Use when "Modal", "serverless GPU", "cloud GPU", "deploy ML model", or asking about "serverless containers", "GPU compute", "batch processing", "scheduled jobs", "autoscaling ML"
Convert documents (PDF, Word, Excel, PowerPoint, images, HTML) to Markdown using microsoft/markitdown. Use for document analysis, content extraction, preprocessing for LLMs, or batch document conversion. Supports images with OCR/LLM descriptions, audio transcription, and ZIP archives.