infisical-api

infisical/ai-skills

Interact with the Infisical REST API to manage secrets, projects, environments, machine identities, and more. Supports secret CRUD operations, machine identity authentication, pagination, and rate limiting on cloud deployments. Not for the CLI/SDKs (infisical-setup), KMS crypto endpoints (infisical-kms), certificate endpoints (infisical-pki), or human SSO login (infisical-sso).

infisical-secret-syncs

infisical/ai-skills

Guide for configuring Infisical Secret Syncs to push secrets from Infisical to third-party services. Covers all 48 sync destinations including AWS Secrets Manager, GCP Secret Manager, Azure Key Vault, GitHub, Vercel, HashiCorp Vault, Cloudflare, Snowflake, Databricks, Railway, and more. Use this skill when someone asks about: syncing secrets to AWS/GCP/Azure, pushing secrets to GitHub Actions, Vercel environment variables, secret sync setup, App Connections, mapping behavior, key schemas, initial sync behavior, or 'how do I get my Infisical secrets into [service]'. Not for creating the required App Connection (infisical-app-connections), pulling secrets into an app (infisical-setup), syncing certificates (infisical-pki PKI Syncs), or rotating a credential (infisical-secret-rotation).

infisical-agent

infisical/ai-skills

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 agent auth methods (universal-auth, kubernetes, aws-iam, azure, gcp-id-token, gcp-iam), sinks, template functions (listSecrets, listSecretsByProjectSlug, getSecretByName, dynamicSecret), polling, on-change commands, retry strategy, and persistent caching. Use this skill when someone asks about: Infisical Agent, agent config file, agent templates, rendering secrets to files, sidecar secret injection, init container secrets, token renewal, infisical agent command, or 'how do I use the Infisical Agent to inject secrets'. Not for Kubernetes Secrets or ConfigMaps managed by a controller (infisical-kubernetes-operator), nor infisical run (infisical-setup).

infisical-dynamic-secrets

infisical/ai-skills

Guide for configuring Infisical Dynamic Secrets — on-demand, short-lived credentials for databases, cloud IAM, SSH, and Kubernetes. Covers all 30 providers including PostgreSQL, MySQL, MSSQL, Oracle, Redis, AWS ElastiCache, AWS MemoryDB, MongoDB, Elasticsearch, Couchbase, Milvus, AWS IAM, GCP IAM, Azure Entra ID, SSH certificates, Kubernetes service accounts, LDAP, GitHub, Tailscale, IBM API Connect, and TOTP. Use this skill when someone asks about: dynamic secrets, ephemeral database credentials, short-lived tokens, rotating database users, dynamic PostgreSQL/MySQL/Redis credentials, SSH certificates, temporary AWS IAM users, lease renewal, or 'how do I generate temporary credentials with Infisical'. For brand-new short-lived credentials created per request. Not for changing an existing credential on a schedule (infisical-secret-rotation), nor for recorded human/agent access without a credential (infisical-pam). Covers SSH certificates; TLS certificates are infisical-pki.

infisical-self-host

infisical/ai-skills

Deploy and operate Infisical self-hosted instances with Docker, Docker Compose, and Kubernetes. Covers architecture, environment variables, ENCRYPTIONKEY management, PostgreSQL setup, Redis configuration (including the required noeviction policy), production hardening, FIPS 140-3 compliance, scaling, and high availability patterns. For deploying the Infisical platform itself. Not for the Kubernetes Operator, which is a separate Helm chart (infisical-kubernetes-operator), nor for using Infisical once running (infisical-setup).

infisical-terraform

infisical/ai-skills

Expert guidance for the Infisical Terraform Provider. Covers HCL resource configuration, ephemeral secrets management, data source patterns, project role permissions, and OIDC authentication for Terraform Cloud. Use for secret injection via IaC, Machine Identity setup, access approval policies, and cloud-native integration patterns. Not for getting secrets into a running app (infisical-setup) or raw REST calls (infisical-api).

microsoft-foundry

microsoft/azure-skills

Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure

azure-diagnostics

microsoft/azure-skills

Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.

azure-prepare

microsoft/azure-skills

Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.

azure-ai

microsoft/azure-skills

Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.

azure-deploy

microsoft/azure-skills

Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.

azure-validate

microsoft/azure-skills

Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.