> browse/registry

> analyzing-capacity-planning

This skill enables Claude to analyze capacity requirements and plan for future growth. It uses the capacity-planning-analyzer plugin to assess current utilization, forecast growth trends, and recommend scaling strategies. Use this skill when the user asks to "analyze capacity", "plan for growth", "forecast infrastructure needs", or requests a "capacity roadmap". It is also useful when the user mentions specific capacity metrics like CPU usage, memory, database storage, network bandwidth, or conn

> azure-large-instances

Expert knowledge for Azure Large Instances development including troubleshooting, limits & quotas, and integrations & coding patterns. Use when building, debugging, or optimizing Azure Large Instances applications. Not for Azure Baremetal Infrastructure (use azure-baremetal-infrastructure), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Machine Scale Sets (use azure-vm-scalesets), SAP HANA on Azure Large Instances (use azure-sap).

> providing-performance-optimization-advice

This skill enables Claude to provide comprehensive, prioritized performance optimization recommendations for software projects. It is triggered when the user requests performance improvements, optimization suggestions, or asks for a performance review. The skill analyzes frontend, backend, and infrastructure aspects of the project to identify bottlenecks and anti-patterns. It then provides actionable advice, estimates potential performance gains, and suggests a phased implementation roadmap. Use

> detecting-performance-regressions

This skill enables Claude to automatically detect performance regressions in a CI/CD pipeline. It analyzes performance metrics, such as response time and throughput, and compares them against baselines or thresholds. Use this skill when the user requests to "detect performance regressions", "analyze performance metrics for regressions", or "find performance degradation" in a CI/CD environment. The skill is also triggered when the user mentions "baseline comparison", "statistical significance ana

> yaml-master

PROACTIVE YAML INTELLIGENCE: Automatically activates when working with YAML files, configuration management, CI/CD pipelines, Kubernetes manifests, Docker Compose, or any YAML-based workflows. Provides intelligent validation, schema inference, linting, format conversion (JSON/TOML/XML), and structural transformations with deep understanding of YAML specifications and common anti-patterns.

> axiom-app-store-ref

App Store submission reference — complete metadata field specs, App Review guideline index, privacy manifest schema, age rating system, export compliance, EU DSA requirements, IAP review pipeline, and WWDC25 submission changes

> gitlab-ci-patterns

Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting up automated testing and deployment.

> zarr-python

Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.

> android-tooling

Standards for Static Analysis (Detekt, Ktlint) and CI/CD Checks. Use when configuring Detekt, Ktlint, lint rules, or CI/CD for Android projects. (triggers: build.gradle.kts, detekt.yml, detekt, ktlint, lint)

> configuring-auto-scaling-policies

This skill configures auto-scaling policies for applications and infrastructure. It generates production-ready configurations based on user requirements, implementing best practices for scalability and security. Use this skill when the user requests help with auto-scaling setup, high availability, or dynamic resource allocation, specifically mentioning terms like "auto-scaling," "HPA," "scaling policies," or "dynamic scaling." This skill provides complete configuration code for various platforms

> checking-infrastructure-compliance

This skill allows Claude to check infrastructure compliance against industry standards such as SOC2, HIPAA, and PCI-DSS. It analyzes existing infrastructure configurations and reports on potential compliance violations. Use this skill when the user asks to assess compliance, identify security risks related to compliance, or generate reports on compliance status for SOC2, HIPAA, or PCI-DSS. Trigger terms include: "compliance check", "SOC2 compliance", "HIPAA compliance", "PCI-DSS compliance", "co

> content-to-pipeline

When the user wants to turn content into revenue, build a content-led GTM motion, reverse engineer distribution, or repurpose content across platforms. Also use when the user mentions 'content marketing,' 'content-led growth,' 'content to pipeline,' 'distribution,' 'content repurposing,' 'content strategy,' 'thought leadership,' 'newsletter,' 'content flywheel,' 'organic growth.' This skill covers content-to-revenue systems from creation through pipeline attribution. Do NOT use for technical imp

> azure-app-testing

Expert knowledge for Azure App Testing development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building, debugging, or optimizing Azure App Testing applications. Not for Azure Test Plans (use azure-test-plans), Playwright Workspaces (use azure-playwright-workspaces), Azure DevOps (use azure-devops), Azure App Service (use azure-app-service).

> pytorch-lightning

Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.

> detecting-infrastructure-drift

This skill enables Claude to detect infrastructure drift from a desired state. It uses the `drift-detect` command to identify discrepancies between the current infrastructure configuration and the intended configuration, as defined in infrastructure-as-code tools like Terraform. Use this skill when the user asks to check for infrastructure drift, identify configuration changes, or ensure that the current infrastructure matches the desired state. It is particularly useful in DevOps workflows for

> gradle-build-performance

Debug and optimize Android/Gradle build performance. Use when builds are slow, investigating CI/CD performance, analyzing build scans, or identifying compilation bottlenecks.

> autonomous-loops

Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.

> terraform-module-library

Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.

> advanced-evaluation

This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.

> robotics-testing

Testing strategies, patterns, and tools for robotics software. Use this skill when writing unit tests, integration tests, simulation tests, or hardware-in-the-loop tests for robot systems. Trigger whenever the user mentions testing ROS nodes, pytest with ROS, launch_testing, simulation testing, CI/CD for robotics, test fixtures for sensors, mock hardware, deterministic replay, regression testing for robot behaviors, or validating perception/planning/control pipelines. Also covers property-based