ClaudSkillsEngineering › Page 157

Claude Engineering Skills (Page 157 of 162)

Code review, refactoring, testing, DevOps, CI/CD, databases, cloud platforms, and full-stack development skills for Claude Code.

9,689 skills · updated 2026-05-02 · showing 9361–9420 of 9,689 by quality score

Uptime Kuma is an open source uptime monitor for HTTP, TCP, ping, DNS, Docker, and keyword checks. It gives agents a concrete way to create, update, and review monitors,…
Score 70/100
Configuring User Access Policies (UAP) to automatically assign or revoke permission sets and permission set groups based on user attributes.
Score 70/100
Query user feedback logs submitted via the app's "send logs" button. Use when debugging user-reported issues, searching for crash patterns, or reviewing feedback.
Score 70/100
Bootstrap skill that teaches how to discover and use Arxitect's architecture enforcement skills. Loaded automatically on session start.
Score 70/100
Bootstrap skill — establishes how to find and use GodotPrompter skills, with platform-specific tool mapping
Score 70/100
Use when starting work on code with non-obvious constraints or history, debugging, making architectural decisions, working with external services, when the user references…
Score 70/100
Neon is a serverless Postgres platform that separates compute and storage to offer autoscaling, branching, instant restore, and scale-to-zero.
Score 70/100
Using st.session_state to manage state across Streamlit reruns. Use when persisting data, handling widget state, implementing callbacks, or debugging state issues.
Score 70/100
ASGI server for Python web applications - Fast, production-ready server for async frameworks
Score 70/100
UX Vern - Cool architecture, but can the user find the button? Empathy-driven design thinking.
Score 70/100
Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive…
Score 70/100
Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.
Score 70/100
Comprehensive guide for developing with Vagrant, including Vagrantfile configuration, custom boxes, providers (VirtualBox, VMware, Hyper-V, libvirt, AWS), provisioners (Ansible,…
Score 70/100
Use check-jsonschema when an agent needs to catch broken GitHub Actions, Renovate, Azure Pipelines, and other schema-backed config files before they hit CI.
Score 70/100
Catch CloudFormation schema, region, and intrinsic-function mistakes before a stack update fails in review or deployment.
Score 70/100
Uses kubeconform to validate Kubernetes manifests against versioned schemas before anything touches a cluster.
Score 70/100
Catch broken schemas, bad references, anti-patterns, and inconsistent formatting before a schema repo or contract bundle ships downstream.
Score 70/100
Check that Python docstrings stay consistent with parameters, returns, and raised exceptions as code evolves.
Score 70/100
Validate API contracts using consumer-driven contract testing (Pact, Spring Cloud Contract). Use when performing specialized testing.
Score 70/100
Validate API schemas against OpenAPI, JSON Schema, and GraphQL specifications. Use when validating API schemas and contracts.
Score 70/100
Validate PCI-DSS compliance for payment card data security. Use when auditing payment systems. Trigger with 'validate PCI-DSS', 'check payment security', or 'audit card data'.
Score 70/100
Configure Vast.ai CI/CD integration with GitHub Actions and automated GPU testing. Use when setting up automated testing on GPU instances, or integrating Vast.ai provisioning into…
Score 70/100
Diagnose and fix Vast.ai common errors and exceptions. Use when encountering Vast.ai errors, debugging failed instances, or troubleshooting GPU rental issues.
Score 70/100
Collect Vast.ai debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information…
Score 70/100
Deploy ML training jobs and inference services on Vast.ai GPU cloud. Use when deploying GPU workloads, configuring Docker images, or setting up automated deployment scripts.
Score 70/100
Rent your first GPU instance on Vast.ai and run a workload. Use when starting a new Vast.ai integration, testing your setup, or learning basic Vast.ai GPU rental patterns.
Score 70/100
Configure Vast.ai local development with testing and fast iteration. Use when setting up a development environment, testing instance provisioning, or building a fast iteration…
Score 70/100
Configure Vast.ai GPU cloud across dev, staging, and production environments. Use when isolating GPU pools per team, managing API key separation by env, or implementing spending…
Score 70/100
Execute Vast.ai production deployment checklist for GPU workloads. Use when deploying training pipelines to production, preparing for large-scale GPU jobs, or auditing production…
Score 70/100
Handle Vast.ai API rate limits with backoff and request optimization. Use when encountering 429 errors, implementing retry logic, or optimizing API request throughput.
Score 70/100
Implement Vast.ai reference architecture for GPU compute workflows. Use when designing ML training pipelines, structuring GPU orchestration, or establishing architecture patterns…
Score 70/100
Vast.ai Python SDK — high-level API for GPU instances, volumes, serverless endpoints, and billing.
Score 70/100
Vault Secrets Integrator - Auto-activating skill for DevOps Advanced. Triggers on: vault secrets integrator, vault secrets integrator Part of the DevOps Advanced skill category.
Score 70/100
Start the Native Python ChromaDB background server. Use when semantic search returns connection refused on port 8110, or when the user wants to enable concurrent agent read/writes.
Score 70/100
Veeva Vault ci integration for REST API and clinical operations. Use when working with Veeva Vault document management and CRM. Trigger: "veeva ci integration".
Score 70/100
Veeva Vault debug bundle for REST API and clinical operations. Use when working with Veeva Vault document management and CRM. Trigger: "veeva debug bundle".
Score 70/100
Veeva Vault deploy integration for REST API and clinical operations. Use when working with Veeva Vault document management and CRM. Trigger: "veeva deploy integration".
Score 70/100
Veeva Vault rate limits for REST API and clinical operations. Use when working with Veeva Vault document management and CRM. Trigger: "veeva rate limits".
Score 70/100
Veeva Vault reference architecture for REST API and clinical operations. Use when working with Veeva Vault document management and CRM. Trigger: "veeva reference architecture".
Score 70/100
Answer questions about Vellum, the assistant's architecture, and its current configuration including which model and provider are active
Score 70/100
Call POST /chat/completions on Venice. Covers the OpenAI-compatible request shape, Venice-only venice_parameters (web search, E2EE, characters, thinking control, X search),…
Score 70/100
Manage Python virtual environments in a consistent, organized way. Use when a skill needs Python packages installed, or when the user wants to create a venv following standard…
Score 70/100
Server-side extension that completes the full analysis pipeline for image classification after vera-ai-image-testing has run.
Score 70/100
Runs data quality diagnostics and baseline image classification. Produces class distribution tables, sample image grids, image size and channel statistics, a baseline CNN or…
Score 70/100
Server-side extension that completes the full analysis pipeline for NLP text classification after vera-ai-nlp-testing has run.
Score 70/100
Runs class balance diagnostics and baseline text classification for NLP tasks. Produces class distribution tables, text length statistics, vocabulary analysis, TF-IDF feature…
Score 70/100
Server-side extension that completes the full analysis pipeline for structured/tabular data after vera-ai-structured-testing has run.
Score 70/100
Runs data quality diagnostics and baseline classification/regression for structured (tabular) data. Produces missing value analysis, feature distributions, correlation matrix,…
Score 70/100
Full CFA skill for measurement-model evaluation. Extends the initial CFA fit with reliability, convergent/discriminant validity, alternative-model comparison, modification-index…
Score 70/100
Runs the CFA pipeline: collect indicator structure, check basic identification and estimator requirements, fit a primary CFA model, and report fit indices plus standardized…
Score 70/100
Full SEM analysis skill. Extends the initial structural model with indirect effects, alternative-path comparison, multigroup testing, residual review, and manuscript-ready…
Score 70/100
Structural equation modeling skill. Collects latent constructs and path structure, checks identification and estimator requirements, fits one primary SEM, and reports global fit…
Score 70/100
Full longitudinal SEM skill for latent growth and change models. Extends the initial fit with nonlinear trajectories, latent-basis and change-score variants, subgroup comparisons,…
Score 70/100
Longitudinal SEM skill for latent growth and change. Collects wave structure, checks whether a growth/change model is identified, fits an initial linear growth or latent change…
Score 70/100
Server-side extension that completes the full analysis pipeline for binary outcome variables after vera-stat-binary-testing has run.
Score 70/100
Runs class balance diagnostics and primary association tests for binary outcome variables (0/1, yes/no, survived/died, pass/fail).
Score 70/100
Runs distribution diagnostics and primary hypothesis tests for continuous outcome variables. Produces Shapiro-Wilk normality check, skewness, kurtosis, Q-Q plot, and one fully…
Score 70/100
Runs distribution diagnostics and primary hypothesis tests for count outcome variables (non-negative integers with no upper bound).
Score 70/100
Runs distribution diagnostics and primary analysis for designed experiments (DOE) with controlled factors.
Score 70/100
Server-side extension that completes the full analysis pipeline for meta-analysis after vera-stat-meta-testing has run.
Score 70/100
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