DevOps & Infra

pjt222 Skill

Deploy Shiny applications to shinyapps.io, Posit Connect, or Docker containers. Covers rsconnect configuration, manifest generation, Dockerfile creation, and deployment verification. Use when publishing a Shiny app for external or internal users, moving from local development to a hosted environment, containerizing a Shiny app for Kubernetes or Docker deployment, or setting up automated deployment pipelines.

pjt222 Skill

Test A2A interoperability between agents by validating Agent Card conformance, exercising all task lifecycle states, and verifying streaming and error handling. Use when verifying a new A2A server implementation before deployment, validating interoperability between two or more A2A agents, running conformance tests in CI/CD for A2A services, debugging failures in multi-agent A2A workflows, or certifying that an agent meets A2A protocol requirements for a registry.

pjt222 Bundle

Create production-ready Helm charts for Kubernetes application deployment with templating, values management, chart dependencies, hooks, and testing. Covers chart structure, Go template syntax, values.yaml design, chart repositories, versioning, and best practices for maintainable and reusable charts. Use when packaging a Kubernetes application for repeatable deployments, parameterizing manifests for multiple environments, managing complex multi-component applications with dependencies, or standardizing deployment practices with versioned rollback capability across teams.

leoyeai-openclaw-master-skills Bundle

Self-healing China mirror source resolver. Automatically discovers, validates, and configures domestic mirror sources for pip/npm/yarn/pnpm/conda/Docker/Go/ Rust/Maven/Gradle/Homebrew/apt/yum/GitHub/HuggingFace when downloads are slow or timing out in mainland China. Trigger keywords: "换源", "镜像源", "下载慢", "超时", "timeout", "mirror", "registry", "proxy", "connection refused", "SSL error", "443", "ETIMEDOUT", "CondaHTTPError", "pip install failed".

leoyeai-openclaw-master-skills Bundle

腾讯云智能顾问助手 — 通过 AK/SK 鉴权调用腾讯云智能顾问 API，管理云架构图（查询目录、获取架构列表和详情、获取架构评估结果）及风险评估（查询评估项、按产品/分组/风险等级筛选）。当用户要求查看云架构、查询架构目录、获取架构详情、查看架构评估结果、查看风险评估项、巡检项、云资源风险等智能顾问相关操作时使用。

pjt222 Skill

Create general-purpose Dockerfiles for Node.js, Python, Go, Rust, and Java projects. Covers base image selection, dependency installation, user permissions, COPY patterns, ENTRYPOINT vs CMD, and .dockerignore. Use when containerizing an application for the first time, creating a consistent build/runtime environment, preparing an app for cloud deployment or Docker Compose, or when no existing Dockerfile is present in the project.

pjt222 Skill

Deploy ShinyProxy for hosting multiple containerized Shiny applications. Covers ShinyProxy Docker deployment, application.yml configuration, Shiny app Docker images, authentication, container backends, usage tracking, and scaling. Use when hosting multiple Shiny apps behind a single entry point, needing per-app authentication and access control, deploying Shiny apps as isolated Docker containers, or scaling beyond single-app deployment with usage analytics and audit logging.

pjt222 Skill

Build and deploy a pkgdown documentation site for an R package to GitHub Pages. Covers _pkgdown.yml configuration, theming, article organization, reference index customization, and deployment methods. Use when creating a documentation site for a new or existing package, customizing layout or navigation, fixing 404 errors on a deployed site, or migrating between branch-based and GitHub Actions deployment methods.

leoyeai-openclaw-master-skills Bundle

Install and configure a fully operational Dockerized OpenClaw instance on macOS from scratch. Includes browser pairing, Discord channel setup, and optional Gmail/Google Drive integration. Use when user asks to "install openclaw docker", "set up dockerized openclaw", "openclaw in docker", or "isolated openclaw instance".

pjt222 Bundle

Deploy and configure a service mesh (Istio or Linkerd) to enable secure service-to-service communication, traffic management, observability, and policy enforcement in Kubernetes clusters. Covers installation, mTLS configuration, traffic routing, circuit breaking, and integration with monitoring tools. Use when microservices need encrypted service-to-service communication, fine-grained traffic control for canary or A/B deployments, observability across all service interactions without application changes, or consistent circuit breaking and retry policies.

pjt222 Skill

Detect missing glyphs, icons, and HD variants by comparing registries against glyph mapping files, icon directories, and manifests. Reports gaps for skills, agents, and teams across all palettes.

pjt222 Skill

Apply software pipelining (double-buffering) to a tiled GPU kernel to overlap global memory loads with Tensor Core computation. Covers prologue/loop/epilogue restructuring, LDG-register vs cp.async (LDGSTS) variant selection based on compute/load ratio, shared memory budget verification against architecture-specific occupancy cliffs, and SASS-level verification of load/compute overlap.

pjt222 Skill

Review a pull request end-to-end using GitHub CLI. Covers diff analysis, commit history review, CI/CD check verification, severity-leveled feedback (blocking/suggestion/nit/praise), and gh pr review submission. Use when a pull request is assigned for review, performing a self-review before requesting others' input, conducting a second review after feedback is addressed, or auditing a merged PR for post-merge quality assessment.

leoyeai-openclaw-master-skills Bundle

Cross-cloud security posture assessment covering IAM analysis, encryption audit, and public exposure detection across AWS, Azure, and GCP using [AWS]/[Azure]/[GCP] inline labels for provider-specific commands.

pjt222 Skill

Configure general-purpose Docker Compose stacks for common application patterns. Covers web app + database + cache + worker services, named volumes, networks, health checks, depends_on, environment management, and profiles. Use when running a web app with a database or cache, setting up a development environment with multiple services, orchestrating background workers alongside an API, or creating reproducible multi-service environments across teams.

pjt222 Skill

Design and implement multi-stage CI/CD pipelines using GitHub Actions with matrix builds, dependency caching, artifact management, and secret handling. Create workflows that span linting, testing, building, and deployment stages with parallel execution and conditional logic. Use when setting up automated testing and deployment for a new project, migrating from Jenkins or CircleCI to GitHub Actions, implementing matrix builds across platforms, adding build caching, or creating multi-stage pipelines with security scanning and quality gates.

pjt222 Bundle

Deploy machine learning models to edge devices using Google AI Edge Gallery, TensorFlow Lite, ONNX Runtime, and MediaPipe. Covers model quantization (INT8/INT4), on-device inference with Gemma 4 models, Android/iOS deployment via AI Edge Gallery, hardware delegate selection (GPU/NPU/DSP), and performance benchmarking on constrained devices. Use when deploying models to mobile phones, IoT devices, or embedded systems where cloud inference is impractical due to latency, cost, or connectivity constraints.

pjt222 Bundle

Deploy applications to Kubernetes clusters using kubectl manifests for Deployments, Services, ConfigMaps, Secrets, and Ingress resources. Implement health checks, resource limits, rolling updates, and Helm chart packaging for production deployments. Use when deploying new applications to EKS, GKE, AKS, or self-hosted clusters, migrating from Docker Compose to container orchestration, implementing zero-downtime rolling updates, or setting up multi-environment deployments across dev, staging, and production.

pjt222 Bundle

Implement cloud cost optimization strategies for Kubernetes workloads using tools like Kubecost for visibility, right-sizing recommendations, horizontal and vertical pod autoscaling, spot/preemptible instances, and resource quotas. Covers cost allocation, showback reporting, and continuous optimization practices. Use when cloud costs are growing without proportional business value, when resource requests are misaligned with actual usage, when manual scaling leads to over-provisioning, or when implementing showback and chargeback for internal cost accountability.

pjt222 Skill

Run the viz pipeline to render icons from existing glyphs. Entry point for the viz subproject covering palette generation, data building, manifest creation, and icon rendering for skills, agents, and teams. Always use build.sh as the pipeline entry point — never call Rscript directly.

pjt222 Skill

Review a data analysis for quality, correctness, and reproducibility. Covers data quality assessment, assumption checking, model validation, data leakage detection, and reproducibility verification. Use when reviewing a colleague's analysis before publication, validating an ML pipeline before production deployment, auditing a report for regulatory or business decision-making, or performing a second-analyst review in a regulated environment.

pjt222 Skill

Configure Docker Compose for multi-container R development environments. Covers service definitions, volume mounts, networking, environment variables, and development vs production configurations. Use when running R alongside other services (databases, APIs), setting up a reproducible R development environment, orchestrating an R-based MCP server container, or managing environment variables and volume mounts for R projects.

leoyeai-openclaw-master-skills Bundle

Kubernetes manifest security auditor (CIS Kubernetes Benchmark). Scans all YAML/JSON manifests in your repository for privileged containers, hostNetwork/hostPID/hostIPC, dangerous hostPath mounts, missing resource limits/probes, latest image tags, RBAC over-permission (cluster-admin bindings, wildcard verbs), secrets in env vars, missing NetworkPolicy, missing seccomp/AppArmor profiles. Maps findings to CIS Benchmark controls and PSS (Pod Security Standards). Zero dependencies beyond PyYAML. Zero competitors on ClawHub.

leoyeai-openclaw-master-skills Bundle

Optimize accuracy for RAG (Retrieval-Augmented Generation) systems. Covers: DB schema design, chunking strategies, retrieval optimization, accuracy testing, and anti-hallucination safeguards. Use when: (1) designing or improving a RAG pipeline, (2) choosing the right chunking strategy, (3) optimizing retrieval accuracy (hybrid search, reranking, multi-query), (4) evaluating chunk quality or testing accuracy, (5) setting up monitoring & safeguards for RAG production, (6) choosing SQL vs Vector DB, (7) designing metadata schemas for domain-specific data (insurance, finance, healthcare, e-commerce).

leoyeai-openclaw-master-skills Bundle

Generate videos using a local SGLang-Diffusion server (Wan2.2, Hunyuan, FastWan, etc.). Use when: user asks to generate, create, or render a video with a locally running SGLang-Diffusion instance. NOT for: cloud-hosted video APIs or image generation (use sglang-diffusion for images). Requires a running SGLang-Diffusion server with a video model loaded.

leoyeai-openclaw-master-skills Bundle

腾讯云对象存储(COS)和数据万象(CI)集成技能。当用户需要上传、下载、管理云存储文件， 或需要进行图片处理（质量评估、超分辨率、抠图、二维码识别、水印）、智能图片搜索、 文档转PDF、视频智能封面生成等操作时使用此技能。

pjt222 Bundle

Select an OCR/HTR engine by benchmarking candidates on the same labelled samples — source ground truth from open datasets (e.g. Hugging Face PAGE-XML corpora) or hand-transcription, wrap every engine behind a transcribe(image_path) -> str adapter (vision-LLMs via any OpenAI-compatible endpoint, dedicated HTR REST APIs, cloud OCR), and score with zero-dependency raw CER, lenient CER, WER, and a critical name/date token diff. Use when choosing an engine for handwriting or historical-document transcription, when published accuracy claims need honest verification on your own material, or when a records workflow must surface confident-but-wrong names and dates that a low aggregate CER hides.

pjt222 Bundle

Deploy and configure an API gateway (Kong or Traefik) to handle API traffic management, authentication, rate limiting, request/response transformation, and routing. Covers plugin configuration, upstream services, consumer management, and integration with existing infrastructure. Use when multiple backend services need a unified API endpoint, when centralized authentication or rate limiting is required, when implementing API versioning, or when needing detailed analytics and load balancing for microservices.

leoyeai-openclaw-master-skills Bundle

Convert raw course material into optimized, runnable MarkdownFlow teaching scripts and deploy them as live courses through a five-phase pipeline covering segmentation, orchestration, generation, optimization, and deployment.

leoyeai-openclaw-master-skills Bundle

Wahoo Fitness Cloud API — fetch workouts, download FIT files, parse power/HR/cadence/GPS into local SQLite for analysis

pjt222 Bundle

Configure automated machine learning pipelines using Optuna or Ray Tune for hyperparameter optimization. Implement efficient search strategies (Hyperband, ASHA), define search spaces, and set up early stopping to find optimal model configurations with minimal manual tuning. Use when starting a new ML project and needing to quickly find good configurations, retraining with new data and re-optimizing hyperparameters, comparing multiple algorithms, or when the team lacks deep expertise in specific algorithm hyperparameters.

pjt222 Bundle

Implement policy-as-code enforcement using OPA Gatekeeper or Kyverno to validate and mutate Kubernetes resources according to organizational policies. Covers constraint templates, admission control, audit mode, reporting violations, and integrating with CI/CD pipelines for shift-left policy validation. Use when enforcing resource configuration standards, preventing security misconfigurations such as privileged containers, ensuring compliance before deployment, standardizing naming conventions, or auditing existing cluster resources against policies.

pjt222 Bundle

Set up a local Kubernetes development environment using kind, k3d, or minikube for fast inner-loop development. Covers cluster creation, ingress configuration, local registry setup, and integration with development tools like Skaffold and Tilt for automatic rebuild and redeploy workflows. Use when needing a local Kubernetes environment for development, testing manifests or Helm charts before production deployment, wanting fast automatic rebuild-and-redeploy cycles, or learning Kubernetes without cloud costs.

leoyeai-openclaw-master-skills Bundle

Prevent runaway API costs with 3-tier protection: caution, emergency, and hard cap. Works for ANY expensive API GPT-4, Claude Opus, Gemini, cloud services.

pjt222 Skill

Containerize an R-based MCP (Model Context Protocol) server using Docker. Covers mcptools integration, port exposure, stdio vs HTTP transport, and connecting Claude Code to the containerized server. Use when deploying an R MCP server without requiring a local R installation, creating a reproducible MCP server environment, running MCP servers alongside other containerized services, or distributing an MCP server to other developers.

pjt222 Bundle

Deploy machine learning models to production serving infrastructure using MLflow, BentoML, or Seldon Core with REST/gRPC endpoints, implement autoscaling, monitoring, and A/B testing capabilities for high-performance model inference at scale. Use when deploying trained models for real-time inference, setting up REST or gRPC prediction APIs, implementing autoscaling for variable load, running A/B tests between model versions, or migrating from batch to real-time inference.