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Found 1,235 Skills
Generate DORA metrics and engineering performance reports using Harness SEI via MCP. Track deployment frequency, lead time, change failure rate, and MTTR. Use when user says "DORA metrics", "deployment frequency", "lead time", "engineering metrics", or asks about team performance.
Generate Harness v1 simplified Pipeline YAML using the new concise syntax with flat structure, ${{ }} expressions, script field, and action steps. Supports CI stages (run, run-test, background), CD stages (service/environment with action steps for K8s, Helm, ECS), approval (stage-level and inline), parallel execution, matrix/for/while strategies, caching, volumes, and templates. Use when asked for a v1 pipeline, simplified pipeline, new pipeline format, or when user specifically requests v1 syntax. Do NOT use for v0/standard pipelines (use create-pipeline). Trigger phrases: v1 pipeline, simplified pipeline, new pipeline format, create v1, modern pipeline syntax.
Guide for configuring the Infisical Agent — a client daemon that manages token lifecycle and renders secrets via Go templates without modifying application code. Covers the full YAML config format, all 6 auth methods (Universal Auth, Kubernetes, AWS IAM, Azure, GCP ID Token, GCP IAM), sinks, template functions (listSecrets, listSecretsByProjectSlug, getSecretByName, dynamicSecret), polling, on-change commands, and caching. Use this skill when someone asks about: Infisical Agent, agent config file, agent templates, rendering secrets to files, sidecar secret injection, token renewal, infisical agent command, or 'how do I use the Infisical Agent to inject secrets'.
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.
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.
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.
Use to score accounts, flag risks, and standardize remediation triggers.