Claude Skills by thedixitjain

>- Analyze KiCad projects and PDF schematics: schematics, PCB layouts, Gerbers, footprints, symbols, netlists, and design rules. Reviews designs for bugs, traces nets, cross-references schematic to PCB, extracts BOM data, checks DRC/ERC, DFM, power trees, and regulator circuits. Every finding carries a confidence label and evidence source with trust_summary rollup. Analyzes PDF schematics from dev boards, reference designs, eval kits, and datasheets. Supports KiCad 5–10. Use whenever the user...

'Configure CI/CD pipelines for Klaviyo integrations with GitHub Actions. Use when setting up automated testing, configuring CI secrets, or integrating Klaviyo SDK tests into your build pipeline. Trigger with phrases like \"klaviyo CI\", \"klaviyo GitHub Actions\", \"klaviyo automated tests\", \"CI klaviyo\", \"klaviyo pipeline\". '

'Set up observability for Klaviyo integrations with metrics, traces, and alerts. Use when implementing monitoring for Klaviyo API operations, setting up dashboards, or configuring alerting for Klaviyo integration health. Trigger with phrases like \"klaviyo monitoring\", \"klaviyo metrics\", \"klaviyo observability\", \"monitor klaviyo\", \"klaviyo alerts\", \"klaviyo tracing\". '

'Build async video generation workflows with Kling AI using queues, state machines, and event-driven patterns. Trigger with phrases like ''klingai async'', ''kling ai workflow'', ''klingai pipeline'', ''async video generation''. '

'Integrate Kling AI video generation into CI/CD pipelines. Use when automating video content in GitHub Actions or GitLab CI. Trigger with phrases like ''klingai ci'', ''kling ai github actions'', ''klingai automation'', ''automated video generation''. '

'Track and monitor Kling AI video generation task status. Use when building dashboards, tracking batch jobs, or debugging stuck tasks. Trigger with phrases like ''klingai job status'', ''kling ai monitor'', ''track klingai task'', ''klingai progress''. '

>- Managed Kreuzberg document intelligence at api.kreuzberg.dev. Use when the user wants cloud extraction with webhook delivery, presigned uploads for large files, document versioning and diffing, sandbox keys, or per-project usage tracking — instead of running the local kreuzberg CLI. Covers authentication, the 12 REST endpoints, request/response shapes, error model, and SDK options.

Expert Kubernetes architect specializing in cloud-native infrastructure, advanced GitOps workflows (ArgoCD/Flux), and enterprise container orchestration.

'Configure kubernetes configmap handler operations. Auto-activating skill for DevOps Advanced. Triggers on: kubernetes configmap handler, kubernetes configmap handler Part of the DevOps Advanced skill category. Use when configuring systems or services. Trigger with phrases like \"kubernetes configmap handler\", \"kubernetes handler\", \"kubernetes\". '

'Create kubernetes deployment creator operations. Auto-activating skill for DevOps Advanced. Triggers on: kubernetes deployment creator, kubernetes deployment creator Part of the DevOps Advanced skill category. Use when deploying applications or services. Trigger with phrases like \"kubernetes deployment creator\", \"kubernetes creator\", \"deploy kubernetes ment creator\". '

Kubernetes deployment workflow for container orchestration, Helm charts, service mesh, and production-ready K8s configurations.

'Configure kubernetes ingress config operations. Auto-activating skill for DevOps Advanced. Triggers on: kubernetes ingress config, kubernetes ingress config Part of the DevOps Advanced skill category. Use when configuring systems or services. Trigger with phrases like \"kubernetes ingress config\", \"kubernetes config\", \"kubernetes\". '

Kubernetes operations including manifests, Helm charts, operators, troubleshooting, and resource management

Use when building a Kubernetes Operator — custom controllers that reconcile CRD state. Triggers on \"build an operator\", \"CRD design\", \"reconcile loop\", \"controller-runtime\", \"kubebuilder\", \"operator-sdk\", \"metacontroller\", \"KOPF\", \"operator capability levels\", or \"custom resource\". Ships CRD validator, reconcile-loop linter, and OperatorHub capability auditor (all stdlib Python), 4 references on the operator pattern + CRD design + reconcile patterns + tooling landscape, an...

Kubernetes workload patterns, resource management, RBAC, probes, autoscaling, ConfigMap/Secret handling, and kubectl debugging for production-grade deployments.

'Analyze kubernetes rbac analyzer operations. Auto-activating skill for Security Advanced. Triggers on: kubernetes rbac analyzer, kubernetes rbac analyzer Part of the Security Advanced skill category. Use when analyzing or auditing kubernetes rbac analyzer. Trigger with phrases like \"kubernetes rbac analyzer\", \"kubernetes analyzer\", \"analyze kubernetes rbac r\". '

'Manage kubernetes secrets manager operations. Auto-activating skill for DevOps Advanced. Triggers on: kubernetes secrets manager, kubernetes secrets manager Part of the DevOps Advanced skill category. Use when working with kubernetes secrets manager functionality. Trigger with phrases like \"kubernetes secrets manager\", \"kubernetes manager\", \"kubernetes\". '

'Manage kubernetes service manager operations. Auto-activating skill for DevOps Advanced. Triggers on: kubernetes service manager, kubernetes service manager Part of the DevOps Advanced skill category. Use when working with kubernetes service manager functionality. Trigger with phrases like \"kubernetes service manager\", \"kubernetes manager\", \"kubernetes\". '

'Generate lambda function generator operations. Auto-activating skill for AWS Skills. Triggers on: lambda function generator, lambda function generator Part of the AWS Skills skill category. Use when working with lambda function generator functionality. Trigger with phrases like \"lambda function generator\", \"lambda generator\", \"lambda\". '

On-demand GPU cloud instances for ML training.

Native agent-to-agent language for compact multi-agent messaging. A shared tongue agents speak directly, not a translation layer. 340+ atoms across 7 domains; 3x smaller than natural language.

'Create lambda layer creator operations. Auto-activating skill for AWS Skills. Triggers on: lambda layer creator, lambda layer creator Part of the AWS Skills skill category. Use when working with lambda layer creator functionality. Trigger with phrases like \"lambda layer creator\", \"lambda creator\", \"lambda\". '

'Pick the correct LangGraph 1.0 stream_mode (\"messages\" vs \"updates\" vs \"values\"), wire it into SSE or WebSocket without proxy-buffering gotchas, and filter astream_events(v2) server-side before forwarding to the browser. Use when building a live-token chat UI, a per-node progress bar, a debug/time-travel view, or diagnosing a LangGraph stream that hangs over a production proxy. Trigger with \"langgraph streaming\", \"stream_mode messages\", \"stream_mode updates\", \"stream_mode values...

\"Build reliable dev / staging / prod isolation for LangChain 1.0 services\\ \\ \\u2014\\nPydantic `Settings` + `SecretStr`, cloud Secret Manager in prod, per-env\\n\\ prompt and model version pinning, env-specific checkpointer and observability.\\n\\ Use when graduating from `.env`-in-dev to real prod infra, or debugging a\\nconfig\\ \\ that loaded the wrong values in the wrong env.\\nTrigger with \\\"langchain multi-env\\\"\\ , \\\"langchain pydantic settings\\\",\\n\\\"langchain secret man...

\"Wire LangSmith tracing and custom metric callbacks into a LangChain\\ \\ 1.0 chain\\nor LangGraph 1.0 agent correctly \\u2014 env-var spelling, subgraph\\ \\ propagation,\\nper-tenant dimensions, cost and latency counters. Use when setting\\ \\ up\\nobservability on a new service, debugging blank traces in LangSmith, or adding\\n\\ per-tenant cost breakdowns. Trigger with \\\"langchain observability\\\",\\n\\\"langsmith\\ \\ tracing\\\", \\\"langchain callbacks\\\", \\\"langchain metrics\\\...

'Wire LangChain 1.0 / LangGraph 1.0 traces into an OpenTelemetry-native backend (Jaeger, Honeycomb, Grafana Tempo, Datadog) with LLM-specific SLOs, safe prompt-content policy, and subgraph-aware span propagation. Use when LangSmith is not the right fit (existing OTEL stack, compliance, multi-cloud) or alongside LangSmith for deep-system traces. Trigger with \"langchain OTEL\", \"langchain opentelemetry\", \"langchain jaeger\", \"langchain honeycomb\", \"langchain SLO\", \"LLM span\", \"langch...

'Execute Langfuse primary workflow: Tracing LLM calls and spans. Use when implementing LLM tracing, building traced AI features, or adding observability to existing LLM applications. Trigger with phrases like \"langfuse tracing\", \"trace LLM calls\", \"add langfuse to openai\", \"langfuse spans\", \"track llm requests\". '

'Deploy Langfuse with your application across different platforms. Use when deploying Langfuse to Vercel, AWS, GCP, or Docker, or integrating Langfuse into your deployment pipeline. Trigger with phrases like \"deploy langfuse\", \"langfuse Vercel\", \"langfuse AWS\", \"langfuse Docker\", \"langfuse production deploy\". '

'Install and configure Langfuse SDK authentication for LLM observability. Use when setting up a new Langfuse integration, configuring API keys, or initializing Langfuse tracing in your project. Trigger with phrases like \"install langfuse\", \"setup langfuse\", \"langfuse auth\", \"configure langfuse API key\", \"langfuse tracing setup\". '

'Set up comprehensive observability for Langfuse with metrics, dashboards, and alerts. Use when implementing monitoring for LLM operations, setting up dashboards, or configuring alerting for Langfuse integration health. Trigger with phrases like \"langfuse monitoring\", \"langfuse metrics\", \"langfuse observability\", \"monitor langfuse\", \"langfuse alerts\", \"langfuse dashboard\". '

'Implement Langfuse rate limiting, batching, and backoff patterns. Use when handling rate limit errors, optimizing trace ingestion, or managing high-volume LLM observability workloads. Trigger with phrases like \"langfuse rate limit\", \"langfuse throttling\", \"langfuse 429\", \"langfuse batching\", \"langfuse high volume\". '

'Langfuse SDK best practices, patterns, and idiomatic usage. Use when learning Langfuse SDK patterns, implementing proper tracing, or following best practices for LLM observability. Trigger with phrases like \"langfuse patterns\", \"langfuse best practices\", \"langfuse SDK guide\", \"how to use langfuse\", \"langfuse idioms\". '

Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production.

Automate recruiting workflows in Lever ATS -- manage opportunities, job postings, requisitions, pipeline stages, and candidate tags through the Composio Lever integration.

'Configure CI/CD pipelines for testing Lindy AI agent integrations. Use when setting up automated testing, configuring GitHub Actions for webhook receiver tests, or validating agent connectivity in CI. Trigger with phrases like \"lindy CI\", \"lindy GitHub Actions\", \"lindy automated tests\", \"CI lindy pipeline\". '

'Monitor Lindy AI agent health, task success rates, and credit consumption. Use when setting up monitoring, building dashboards, configuring alerts, or tracking agent performance over time. Trigger with phrases like \"lindy monitoring\", \"lindy observability\", \"lindy metrics\", \"lindy logging\", \"lindy dashboard\". '

Trace relationships between semantic models and downstream reports across Fabric workspaces. Automatically invoke when the user asks to \"find downstream reports\", \"show report lineage\", \"impact analysis\", \"what depends on this dataset\", \"cross-workspace lineage\", \"which reports are connected\", \"get model dependencies\", or mentions model-to-report dependency tracing.

'Implement monitoring, logging, and alerting for Linear integrations. Use when setting up metrics collection, dashboards, or configuring alerts for Linear API usage. Trigger: \"linear monitoring\", \"linear observability\", \"linear metrics\", \"linear logging\", \"monitor linear\", \"linear Prometheus\", \"linear Grafana\". '

Implement Linkerd service mesh patterns for lightweight, security-focused service mesh deployments. Use when setting up Linkerd, configuring traffic policies, or implementing zero-trust networking with minimal overhead.

'Manage linux commands guide operations. Auto-activating skill for DevOps Basics. Triggers on: linux commands guide, linux commands guide Part of the DevOps Basics skill category. Use when working with linux commands guide functionality. Trigger with phrases like \"linux commands guide\", \"linux guide\", \"linux\". '

Execute systematic privilege escalation assessments on Linux systems to identify and exploit misconfigurations, vulnerable services, and security weaknesses that allow elevation from low-privilege user access to root-level control.

Provide production-ready shell script templates for common Linux system administration tasks including backups, monitoring, user management, log analysis, and automation. These scripts serve as building blocks for security operations and penetration testing environments.

Linux system troubleshooting workflow for diagnosing and resolving system issues, performance problems, and service failures.

Find logic bugs in a single file or function via semi-formal execution tracing (Premises → Trace → Divergence → Trigger → Remedy). Trigger when a user shares code and suspects something is wrong without naming a concrete failure — phrases like \"review this\", \"does this look right\",...

'Set up comprehensive observability for Lokalise integrations with metrics, traces, and alerts. Use when implementing monitoring for Lokalise operations, setting up dashboards, or configuring alerting for Lokalise integration health. Trigger with phrases like \"lokalise monitoring\", \"lokalise metrics\", \"lokalise observability\", \"monitor lokalise\", \"lokalise alerts\", \"lokalise tracing\". '

Design and implement a complete ML pipeline for: $ARGUMENTS

'Implement comprehensive observability for MaintainX integrations. Use when setting up monitoring, logging, tracing, and alerting for MaintainX API integrations. Trigger with phrases like \"maintainx monitoring\", \"maintainx logging\", \"maintainx metrics\", \"maintainx observability\", \"maintainx alerts\". '

'Generate makefile generator operations. Auto-activating skill for DevOps Basics. Triggers on: makefile generator, makefile generator Part of the DevOps Basics skill category. Use when working with makefile generator functionality. Trigger with phrases like \"makefile generator\", \"makefile generator\", \"makefile\". '

| CRITICAL: Use for Makepad packaging and deployment. Triggers on: deploy, package, APK, IPA, 打包, 部署, cargo-packager, cargo-makepad, WASM, Android, iOS, distribution, installer, .deb, .dmg, .nsis, GitHub Actions, CI, action, marketplace

| Execute enables AI assistant to manage sugar's autonomous development workflows. it allows AI assistant to create tasks, view the status of the system, review pending tasks, and start autonomous execution mode. use this skill when the user asks to create a new develo... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.