Builds APIs with GraphQL including schemas, queries, mutations, resolvers, and client integration. Use when designing flexible APIs, fetching related data, or implementing real-time subscriptions.

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Design schemas, resolvers, and subscriptions.

Use when designing GraphQL schemas with type system, SDL patterns, field design, pagination, directives, and versioning strategies for maintainable and scalable APIs.

Build efficient, type-safe GraphQL APIs with proper schema design and resolver patterns.

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GraphRAG implementation patterns for hybrid search, Text2Cypher, and agentic retrieval. Use when implementing RAG workflows with Neo4j.

Create complex graph visualizations using Graphviz DOT language, with both source code and pre-rendered images.

Query electricity grid data from US Independent System Operators (ISOs) using the GridStatus.io API. Access real-time and historical data for load, pricing (LMP), generation, fuel mix, and more.

Gather phase context through adaptive questioning before planning

B2B go-to-market strategy, pricing models, ICP development, positioning, and competitive intelligence. Use when planning GTM strategy, setting pricing, defining ICP, or evaluating opportunities.

Builds and maintains cumulative guidance inventory for a company. Use when collecting historical guidance, updating guidance after earnings, preparing context for prediction/attribution workflows, or when user asks about company outlook, earnings guidance, management expectations, forward forecasts, or FY/quarterly targets.

ha-button-cards

ha-conditional-cards

ha-custom-cards

ha-dashboard-create

ha-dashboard-layouts

Configure Home Assistant Lovelace dashboards, cards, views, and themes. Use when working with dashboard YAML, card configuration, view layouts, custom cards, or frontend theming.

Set up Home Assistant energy monitoring with dashboards, solar, grid, and device tracking. Use when configuring energy sensors, utility meters, statistics, or analyzing consumption. Activates on keywords: energy dashboard, solar, grid, consumption, kWh, utility meter, power monitoring, state_class, device_class: energy.

ha-mushroom-cards

ha-validate-dashboards

Configure Home Assistant Assist voice control with pipelines, intents, wake words, and speech processing. Use when setting up voice control, creating custom intents, configuring TTS/STT, or building voice satellites. Activates on keywords: Assist, voice control, wake word, intent, sentence, TTS, STT, Piper, Whisper, Wyoming.

handler-http

Harness CD (Continuous Delivery) for Kubernetes, Helm, Terraform, ECS, and serverless deployments with GitOps, approval gates, rollback strategies, and multi-environment promotion

Harness Code repository workflows, triggers, PR pipelines, branch protection, and GitOps integration for AWS EKS deployments

AWS EKS deployment patterns via Harness CD - Native Helm, Kubernetes manifests, and GitOps strategies with rolling, canary, and blue-green deployments

Keycloak OIDC integration with Harness pipelines, EKS IRSA, service account authentication, and realm-as-code patterns

Calculate cryptographic hashes (MD5, SHA1, SHA256, SHA512) for text and files. Compare hashes, verify integrity, and batch process directories.

Complete guide for Hasura GraphQL Engine including instant GraphQL APIs, permissions, authentication, event triggers, actions, and production deployment

Run Claude Code in headless/programmatic mode for automation, CI/CD, and agent workflows. Use when user asks about headless mode, programmatic execution, scripting Claude, or automating Claude workflows.

Implement comprehensive health check endpoints for liveness, readiness, and dependency monitoring. Use when deploying to Kubernetes, implementing load balancer health checks, or monitoring service availability.

hecras_explore_gui

Configure ArgoCD Applications and ApplicationSets for GitOps-based Helm deployments with sync policies and multi-environment support. Use when setting up ArgoCD Applications for Helm charts, configuring multi-environment deployments with ApplicationSets, implementing GitOps workflows, configuring sync policies and strategies, or setting up progressive delivery with Argo Rollouts.

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Expert-level Helm 3 package management, chart development, templating, and production operations

hetzner-cloud-management

HeyReach LinkedIn automation integration. Load when user mentions 'heyreach', 'linkedin outreach', 'linkedin campaigns', 'list campaigns', 'add leads', 'campaign stats', or any LinkedIn automation operations.

Guidance for deploying HuggingFace models as inference APIs/services. This skill applies when tasks involve downloading pre-trained models from HuggingFace Hub, creating REST APIs for model inference, building Flask/FastAPI services around ML models, or setting up sentiment analysis, text classification, or other NLP inference endpoints.

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Design hook-based event systems for ADW observability. Use when implementing real-time event broadcasting, creating hook pipelines, or building agent activity monitoring.

React Hooks patterns including custom hooks and dependency management. Use when implementing component logic.

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Imported skill how_to_guide from openai

HTML Reporting Standards Skill

Imported skill html2pptx from anthropic

HtmlGraph workflow skill combining session tracking, orchestration, and parallel coordination. Activated automatically at session start. Enforces delegation patterns, manages multi-agent workflows, ensures proper activity attribution, and maintains feature awareness. Use when working with HtmlGraph projects, spawning parallel agents, or coordinating complex work.

HtmlGraph workflow skill combining session tracking, orchestration, and parallel coordination. Activated automatically at session start. Enforces delegation patterns, manages multi-agent workflows, ensures proper activity attribution, and maintains feature awareness. Use when working with HtmlGraph projects, spawning parallel agents, or coordinating complex work.

Project dashboard that guides you through setup and tracks progress

Train and fine-tune LLMs using HuggingFace TRL, Transformers, and cloud GPU infrastructure with SFT, DPO, GRPO methods

Use Hugging Face Transformers for local model inference, embeddings, and fine-tuning. Covers pipelines, model selection, quantization, and optimization. Use when working with local LLMs, embeddings, or custom model training.