sf-industry-commoncore-callable-apex
>
sf-industry-commoncore-datamapper
>
sf-industry-commoncore-flexcard
>
sf-industry-commoncore-integration-procedure
>
sf-industry-commoncore-omniscript
>
sf-industry-commoncore-omnistudio-analyze
>
sf-integration
>
sf-lwc
>
sf-metadata
>
sf-permissions
>
sf-soql
>
sf-testing
>
sf-vlocity-build-deploy
>
sf-deploy
>
sf-diagram-mermaid
>
sf-debug
>
sf-ai-agentforce
>
sf-ai-agentforce-testing
>
sf-ai-agentforce-persona
>
sf-ai-agentforce-observability
>
sf-datacloud
>
sf-datacloud-segment
>
sf-datacloud-harmonize
>
sf-datacloud-prepare
>
sf-datacloud-connect
>
sf-datacloud-act
>
sf-data
>
sf-connected-apps
>
sf-apex
>
sf-ai-agentscript
>
adding-service-documentation
Documents new Coolify one-click services by creating markdown pages in docs/services/, downloading logos to docs/public/images/services/, and updating List.vue catalog. Use when adding service documentation, creating service pages, onboarding services from templates/compose/, or updating the services catalog with new entries.
disabling-services
Hides or disables a service from the documentation listing while preserving the page for SEO and bookmarks. Use when deprecating services, marking services unavailable, adding disabled:true to List.vue, or adding warning callouts to service pages. Keeps docs/services/ pages accessible via direct URL.
adding-documentation-pages
Creates documentation pages for guides, tutorials, knowledge base articles, and troubleshooting content in docs/. Use when adding how-to guides, writing KB articles, creating troubleshooting docs, adding pages to get-started/, applications/, databases/, knowledge-base/, or integrations/. NOT for service pages - use adding-service-documentation for docs/services/.
renaming-services
Renames a service documentation file and updates all references across docs/services/, List.vue, and nginx/redirects.conf. Use when renaming services, changing service slugs, fixing camelCase to kebab-case, or when service names change in the Coolify repository templates/compose/.
browser-automation
Reliable, composable browser automation using minimal OpenCode Browser primitives.
codex-subagent
>
managing-vulnerabilities
Implementing multi-layer security scanning (container, SAST, DAST, SCA, secrets), SBOM generation, and risk-based vulnerability prioritization in CI/CD pipelines. Use when building DevSecOps workflows, ensuring compliance, or establishing security gates for container deployments.
model-serving
LLM and ML model deployment for inference. Use when serving models in production, building AI APIs, or optimizing inference. Covers vLLM (LLM serving), TensorRT-LLM (GPU optimization), Ollama (local), BentoML (ML deployment), Triton (multi-model), LangChain (orchestration), LlamaIndex (RAG), and streaming patterns.
platform-engineering
Design and implement Internal Developer Platforms (IDPs) with self-service capabilities, golden paths, and developer experience optimization. Covers platform strategy, IDP architecture (Backstage, Port), infrastructure orchestration (Crossplane), GitOps (Argo CD), and adoption patterns. Use when building developer platforms, improving DevEx, or establishing platform teams.
prompt-engineering
Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques. Use when building LLM applications requiring reliable outputs, implementing RAG systems, creating AI agents, or optimizing prompt quality and cost. Covers OpenAI, Anthropic, and open-source models with multi-language examples (Python/TypeScript).
providing-feedback
Implements feedback and notification systems including toasts, alerts, modals, progress indicators, and error states. Use when communicating system state, displaying messages, confirming actions, or showing errors.
operating-kubernetes
Operating production Kubernetes clusters effectively with resource management, advanced scheduling, networking, storage, security hardening, and autoscaling. Use when deploying workloads to Kubernetes, configuring cluster resources, implementing security policies, or troubleshooting operational issues.
resource-tagging
Apply and enforce cloud resource tagging strategies across AWS, Azure, GCP, and Kubernetes for cost allocation, ownership tracking, compliance, and automation. Use when implementing cloud governance, optimizing costs, or automating infrastructure management.
using-document-databases
Document database implementation for flexible schema applications. Use when building content management, user profiles, catalogs, or event logging. Covers MongoDB (primary), DynamoDB, Firestore, schema design patterns, indexing strategies, and aggregation pipelines.
transforming-data
Transform raw data into analytical assets using ETL/ELT patterns, SQL (dbt), Python (pandas/polars/PySpark), and orchestration (Airflow). Use when building data pipelines, implementing incremental models, migrating from pandas to polars, or orchestrating multi-step transformations with testing and quality checks.
theming-components
Provides design token system and theming framework for consistent, customizable UI styling across all components. Covers complete token taxonomy (color, typography, spacing, shadows, borders, motion, z-index), theme switching (CSS custom properties, theme providers), RTL/i18n support (CSS logical properties), and accessibility (WCAG contrast, high contrast themes, reduced motion). This is the foundational styling layer referenced by ALL component skills. Use when theming components, implementing light/dark mode, creating brand styles, customizing visual design, ensuring design consistency, or supporting RTL languages.
testing-strategies
Strategic guidance for choosing and implementing testing approaches across the test pyramid. Use when building comprehensive test suites that balance unit, integration, E2E, and contract testing for optimal speed and confidence. Covers multi-language patterns (TypeScript, Python, Go, Rust) and modern best practices including property-based testing, test data management, and CI/CD integration.
streaming-data
Build event streaming and real-time data pipelines with Kafka, Pulsar, Redpanda, Flink, and Spark. Covers producer/consumer patterns, stream processing, event sourcing, and CDC across TypeScript, Python, Go, and Java. When building real-time systems, microservices communication, or data integration pipelines.
siem-logging
Configure security information and event management (SIEM) systems for threat detection, log aggregation, and compliance. Use when implementing centralized security logging, writing detection rules, or meeting audit requirements across cloud and on-premise infrastructure.
shell-scripting
Write robust, portable shell scripts with proper error handling, argument parsing, and testing. Use when automating system tasks, building CI/CD scripts, or creating container entrypoints.
Page 303 of 1486 · 74265 results
