DevOps & Infra

devguyrash Bundle

Generate hardened, production-ready Docker architecture including Dockerfiles, Compose stacks, and Swarm deploy configs. Use when the task involves: (1) Writing or improving a Dockerfile or multi-stage build, (2) Containerizing an application (Python, Node.js, Rust, Go, Nginx, or custom stacks), (3) Creating or modifying compose.yaml or Docker Swarm deployments, (4) Hardening container security, healthchecks, secrets management, or resource limits, (5) Setting up CI/CD container scanning or image supply-chain controls (hadolint, trivy, docker scout, SBOM, provenance), or (6) Any task involving Docker, containers, or container orchestration.

xaiht Bundle

Sweep the whole codebase and keep the SELF-UPDATE pipeline complete — so every new asset/feature added to Tlamatini is actually carried into a release by build.py AND survives (or is correctly replaced by) the self-update swap. Invoke whenever you add/rename a new agent, top-level file or directory, dependency, bundled runtime, migration, static/template asset, or any "ship it next to the exe" artifact — and ALWAYS after a feature like Blenderer or the self-update capability lands. Audits the three files that own the pipeline (build.py, agent/self_update.py, apply_update.ps1) against four hard invariants, with a runnable sweep script that never forgets the minimal thing. Pairs with copy_source_assets.py (the self-modify snapshot) and VERSIONING.md.

izzyfresh Skill

Skill: Google Cloud SDK (`gcloud`)

izzyfresh Bundle

Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK. Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like Live API, tools, multimedia generation, caching, and batch prediction.

izzyfresh Skill

GCP MCP (Model Context Protocol) Guide

izzyfresh Skill

Skill: Agent Engine & Cloud Run Deployment

izzyfresh Bundle

Manages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).

izzyfresh Bundle

This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server. Cloud SQL manages third-party MySQL, PostgreSQL, and SQL Server instances as resources in Cloud SQL. For example, when Cloud SQL creates an open-source MySQL instance, the resulting resource is a Cloud SQL for MySQL instance that Google Cloud manages. Cloud SQL handles backups, high availability, and secure connectivity for relational database workloads.

izzyfresh Bundle

Sets up, manages, and executes queries against Cloud Firestore database instances. You MUST unconditionally activate this skill if you plan to use Firestore in any way. Use when listing or creating Firestore databases, configuring security rules, designing data models, writing client SDK queries, or checking indexes.

izzyfresh Bundle

This skill should be used when the user wants to "run an evaluation", "evaluate my ADK agent", "write an evalset", "debug eval scores", "compare eval results", or needs guidance on ADK (Agent Development Kit) evaluation methodology and the eval-fix loop. Covers eval metrics, evalset schema, LLM-as-judge, tool trajectory scoring, and common failure causes. Part of the Google ADK (Agent Development Kit) skills suite. Do NOT use for API code patterns (use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).

izzyfresh Bundle

This skill should be used when the user wants to "deploy an agent", "deploy my ADK agent", "set up CI/CD", "configure secrets", "troubleshoot a deployment", or needs guidance on Agent Runtime, Cloud Run, or GKE deployment targets. Covers deployment workflows, service accounts, rollback, and production infrastructure. Part of the Google ADK (Agent Development Kit) skills suite. Do NOT use for API code patterns (use google-agents-cli-adk-code), evaluation (use google-agents-cli-eval), or project scaffolding (use google-agents-cli-scaffold).

izzyfresh Skill

This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini Enterprise", "publish to Gemini Enterprise", or needs guidance on the agents-cli publish gemini-enterprise command. Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, and troubleshooting. Part of the Google ADK (Agent Development Kit) skills suite. Do NOT use for deployment (use google-agents-cli-deploy).

izzyfresh Bundle

This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management", or needs ADK (Agent Development Kit) Python API patterns and code examples. Part of the Google ADK skills suite. It provides a quick reference for agent types, tool definitions, orchestration patterns, callbacks, and state management. Do NOT use for creating new projects (use google-agents-cli-scaffold) or deployment (use google-agents-cli-deploy).

izzyfresh Bundle

This skill should be used when the user wants to "create an agent project", "start a new ADK project", "build me a new agent", "add CI/CD to my project", "add deployment", "enhance my project", or "upgrade my project". Part of the Google ADK (Agent Development Kit) skills suite. Covers `agents-cli scaffold create`, `scaffold enhance`, and `scaffold upgrade` commands, template options, deployment targets, and the prototype-first workflow. Do NOT use for writing agent code (use google-agents-cli-adk-code) or deployment operations (use google-agents-cli-deploy).

izzyfresh Bundle

This skill should be used when the user wants to "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code", "test an agent", "deploy an agent", "publish an agent", "monitor an agent", or needs the ADK (Agent Development Kit) development lifecycle and coding guidelines. Entrypoint for building ADK agents. Always active — provides the full workflow (scaffold, build, evaluate, deploy, publish, observe), code preservation rules, model selection guidance, and troubleshooting steps for ADK or any agent development.

izzyfresh Bundle

Design AlphaEvolve experiments for the Cloud API. Takes a natural-language problem description and produces a complete, tested experiment directory ready for the experiment-runner skill. Triggers on: "design an experiment", "set up an AlphaEvolve experiment", "create an experiment for", "I want to evolve", "help me set up AlphaEvolve".

izzyfresh Bundle

Guidance for a developer's first steps on Google Cloud, covering account creation, billing setup, project management, and deploying a first resource.

izzyfresh Bundle

This skill should be used when the user wants to "set up tracing", "monitor my ADK agent", "configure logging", "add observability", "debug production traffic", or needs guidance on monitoring deployed ADK (Agent Development Kit) agents. Covers Cloud Trace, prompt-response logging, BigQuery Agent Analytics, third-party integrations (AgentOps, Phoenix, MLflow, etc.), and troubleshooting. Part of the Google ADK (Agent Development Kit) skills suite. Do NOT use for deployment setup (use google-agents-cli-deploy) or API code patterns (use google-agents-cli-adk-code).

stacksjs Skill

Use when integrating AI capabilities into a Stacks application — using Anthropic/OpenAI/Ollama/AWS Bedrock drivers, image generation (DALL-E), vision analysis, RAG/vector search, embeddings, MCP (Model Context Protocol) clients, text summarization, sentiment analysis, content classification, personalization, or the buddy AI assistant. Covers @stacksjs/ai and config/ai.ts.

stacksjs Skill

Use when deploying or managing cloud infrastructure for Stacks — AWS deployment via CloudFormation/CDK, server mode (EC2, ALB, VPC), serverless mode (Lambda, API Gateway, CloudFront), jump boxes, domain management (Route53), S3 storage, SES email, edge computing, security groups, IAM, or the cloud configuration. Covers @stacksjs/cloud, @stacksjs/deploy, storage/framework/cloud/, and cloud/.

hezaohezao Skill

ML paper pipeline: experiment design to submission.

saddss Skill

Compact the current conversation into a handoff document for another agent to pick up. Use when ending a long session, switching agents, or handing off benchmark runs, profiling investigations, or multi-step infra work.

saddss Skill

Performance optimization coordination playbook. Contains specialist routing table, TileIR two-step pipeline, kernel generation specialist selection, prioritization criteria, and safe modification workflow. Use when applying optimizations, writing kernels, or improving vLLM / SGLang / TRT-LLM / lmdeploy performance. Covers user-specified and autopilot-driven iterative optimization.

saddss Bundle

Layer-level torch profiler trace analysis: forward-pass boundaries, anchor kernels, per-layer timing clusters, Perfetto navigation. Use when llm-torch-profiler-analysis three-table summary is too coarse and you need which layers or prefill/decode forward passes dominate.

saddss Bundle

Unified torch.profiler triage for sglang, vllm, TensorRT-LLM: kernel table, overlap-opportunity table, fuse-pattern table with prefill/decode separation. Use when analyzing trace.json(.gz), live server profiling, or fusion/kernel opportunities after perf-nsight-systems points to compute. Complements llm-pipeline-analysis for layer-level drill-down.

dtsong Skill

Use when designing an evaluation framework for AI/LLM features. Covers golden dataset creation, automated scoring rubrics, hallucination detection, regression testing infrastructure, and production monitoring. Do not use for prompt design (use prompt-engineering) or RAG pipeline architecture (use rag-architecture).

dtsong Skill

Use when designing, evaluating, or versioning system prompts for LLM-powered features. Covers instruction structure, chain-of-thought patterns, output format constraints, few-shot example selection, and prompt versioning strategy. Do not use for RAG pipeline design (use rag-architecture) or AI evaluation frameworks (use ai-evaluation).

farmage Bundle

Use when building, configuring, or debugging enterprise Java applications with Spring Boot 3.x, microservices, or reactive programming. Invoke to implement WebFlux endpoints, optimize JPA queries and database performance, configure Spring Security with OAuth2/JWT, or resolve authentication issues and async processing challenges in cloud-native Spring applications.

farmage Bundle

Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost optimization, disaster recovery, landing zones, security architecture, serverless design.

farmage Bundle

Creates Dockerfiles, configures CI/CD pipelines, writes Kubernetes manifests, and generates Terraform/Pulumi infrastructure templates. Handles deployment automation, GitOps configuration, incident response runbooks, and internal developer platform tooling. Use when setting up CI/CD pipelines, containerizing applications, managing infrastructure as code, deploying to Kubernetes clusters, configuring cloud platforms, automating releases, or responding to production incidents. Invoke for pipelines, Docker, Kubernetes, GitOps, Terraform, GitHub Actions, on-call, or platform engineering.

farmage Bundle

Identifies security vulnerabilities, generates structured audit reports with severity ratings, and provides actionable remediation guidance. Use when conducting security audits, reviewing code for vulnerabilities, or analyzing infrastructure security. Invoke for SAST scans, penetration testing, DevSecOps practices, cloud security reviews, dependency audits, secrets scanning, or compliance checks. Produces vulnerability reports, prioritized recommendations, and compliance checklists.

farmage Bundle

Generates Spring Boot 3.x configurations, creates REST controllers, implements Spring Security 6 authentication flows, sets up Spring Data JPA repositories, and configures reactive WebFlux endpoints. Use when building Spring Boot 3.x applications, microservices, or reactive Java applications; invoke for Spring Data JPA, Spring Security 6, WebFlux, Spring Cloud integration, Java REST API design, or Microservices Java architecture.

farmage Bundle

Use when deploying or managing Kubernetes workloads. Invoke to create deployment manifests, configure pod security policies, set up service accounts, define network isolation rules, debug pod crashes, analyze resource limits, inspect container logs, or right-size workloads. Use for Helm charts, RBAC policies, NetworkPolicies, storage configuration, performance optimization, GitOps pipelines, and multi-cluster management.

jensen-yao Skill

在 Windows 上开发、构建并可视化验证 iOS/watchOS 应用的标准工作流（无本机 Mac/Xcode）： XcodeGen 工程定义 + Swift Package 本地包 + GitHub Actions macOS CI（构建/测试/签名）+ XCUITest 模拟器截图回传 + SSH/gh API 网络传输 + 免费账号分发。 含 20+ 个真实踩坑记录与修复（xcodegen 多平台依赖、watchOS WidgetKit 枚举、 PowerShell 编码损坏、倒置区间崩溃、simctl 启动参数、App.init 写 SwiftData 崩溃等）。 Use when: 在 Windows 上开发 iOS/watchOS 应用、无 Mac 构建 iOS、iOS CI/CD 配置、 模拟器截图/预览、xcodegen watchOS 工程、GitHub Actions iOS runner、 免费开发者账号分发、SSH 推送 GitHub 替代 HTTPS。 Standard workflow for building and visually verifying iOS/watchOS apps on Windows without a local Mac/Xcode, with 20+ documented pitfalls and fixes.

thoughtspot Bundle

Publish ThoughtSpot Tables, Models, Answers and Liveboards from the Primary Org to target Orgs without copying them — defining the template variables and metadata parameterization that publishing requires — via the `ts publish export/resolve/apply/verify/rollback` CLI pipeline.

thoughtspot Skill

Set up and manage Tableau Server/Cloud connection profiles. Use when configuring a new Tableau instance for workbook migration, updating credentials, or testing whether an existing profile is working. Supports password and Personal Access Token (PAT) auth. Credentials are stored securely in the OS keychain.