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Found 916 Skills
Vendor-neutral skill to generate a staged feature-flag rollout plan (phases, metrics, guardrails, rollback criteria) from feature context and risk inputs.
Infisical integration. Manage data, records, and automate workflows. Use when the user wants to interact with Infisical data.
Audit GitHub Actions workflow efficiency and recommend fixes to reduce CI minutes and costs.
Anonymize and sanitize customer-provided log files before they are committed as pipeline test fixtures or sample events. Performs a line-by-line review and replaces all sensitive values inline, preserving log structure and format exactly — never reformats, re-indents, or restructures content. Invoke manually with /anonymize-logs.
This skill should be used when the user asks to "导入阿里云资源到 Terraform", "terraform import 阿里云", "将现有云资源纳入 Terraform 管理", "阿里云资源迁移 Terraform", "生成 terraform state", "import alicloud resources", "阿里云 IaC 迁移", "阿里云 Terraform 导入", or needs to manage existing Alibaba Cloud resources with Terraform. Guides users step-by-step through environment check, authentication, resource discovery, HCL generation, state import, validation, and dependency graph. Supports both one-time migration and incremental sync.
Scaffolds new Terraform modules with standardized structure including main.tf, variables.tf, outputs.tf, versions.tf, and README.md. This skill should be used when users want to create a new Terraform module, set up module structure, or need templates for common infrastructure patterns like VPC, ECS, S3, or RDS modules.
This skill should be used when users need to interact with Kubernetes clusters via kubectl CLI. It covers pod management, deployment operations, log viewing, debugging, resource monitoring, scaling, ConfigMaps, Secrets, Services, and all standard kubectl operations. Supports multiple clusters (production, staging, local k3s) with predefined aliases. Triggers on requests mentioning Kubernetes, k8s, pods, deployments, containers, or cluster operations.
Azure AD OAuth2/OIDC SSO integration for Kubernetes applications. Use when implementing Single Sign-On, configuring Azure AD App Registrations, restricting access by groups, or integrating tools (DefectDojo, Grafana, ArgoCD, Harbor, SonarQube) with Azure AD authentication.
Implement applications using Google Cloud Platform (GCP) services. Use when building on GCP infrastructure, selecting compute/storage/database services, designing data analytics pipelines, implementing ML workflows, or architecting cloud-native applications with BigQuery, Cloud Run, GKE, Vertex AI, and other GCP services.
Use when the user wants to create, generate, or set up a GitHub Actions workflow. Handles CI/CD pipelines, testing, deployment, linting, security scanning, release automation, Docker builds, scheduled tasks, and any custom workflow for any language or framework.
Complete Docker containerization patterns for development and production workflows
Guides users through writing, validating, and operationalizing Non-Functional Requirements (NFRs), Service Level Objectives (SLOs), Service Level Indicators (SLIs), and fitness functions. This skill should be used when a user wants to define or review NFRs for a system, translate NFRs into SLOs/SLIs, or generate automatable fitness functions (performance tests, ArchUnit-style architecture tests, availability checks, recovery drills) that validate a system against its non-functional requirements.