DevOps & Infra

azure-azure-sdk-for-js Bundle

Create, get, update, abandon, and link SDK PRs to release plan work items for Azure SDK releases. **UTILITY SKILL**. USE FOR: "create release plan", "get release plan", "update release plan", "update API spec in release plan", "update SDK details in release plan", "abandon release plan", "link SDK PR to plan", "namespace approval", "check release plan status". DO NOT USE FOR: SDK code generation, pipeline troubleshooting, API review feedback. INVOKES: azure-sdk-mcp:azsdk_create_release_plan, azure-sdk-mcp:azsdk_get_release_plan, azure-sdk-mcp:azsdk_get_release_plan_for_spec_pr, azure-sdk-mcp:azsdk_update_release_plan, azure-sdk-mcp:azsdk_update_api_spec_pull_request_in_release_plan, azure-sdk-mcp:azsdk_update_sdk_details_in_release_plan, azure-sdk-mcp:azsdk_abandon_release_plan, azure-sdk-mcp:azsdk_link_sdk_pull_request_to_release_plan, azure-sdk-mcp:azsdk_link_namespace_approval_issue.

azure-azure-sdk-for-js Bundle

Re-record the ai-projects live test suite, push only the recordings whose playback passes to the Azure/azure-sdk-assets repo, and open a PR for the updated assets.json. Use when test recordings are stale, a recorded test fails in playback in CI, or new recorded tests need fresh recordings. Wraps TEST_MODE=record / TEST_MODE=playback runs, dev-tool test-proxy push, and a single-file assets.json PR via the gh CLI.

azure-azure-sdk-for-js Bundle

Analyze and resolve APIView review feedback on Azure SDK PRs. **UTILITY SKILL**. USE FOR: APIView comments, API review feedback, SDK API surface changes. DO NOT USE FOR: general code review, non-APIView feedback. INVOKES: azure-sdk-mcp:azsdk_apiview_get_comments, azure-sdk-mcp:azsdk_customized_code_update, azure-sdk-mcp:azsdk_typespec_delegate_apiview_feedback, azure-sdk-mcp:azsdk_run_typespec_validation, azure-sdk-mcp:azsdk_package_generate_code.

azure-azure-sdk-for-js Skill

Runs the issue-assigned @azure/ai-projects TypeSpec regeneration workflow from required issue-description inputs through a reviewable draft pull request.

ottawacloudconsulting Bundle

Map project architecture to ITSG-33 / CCCS Medium Cloud Profile security controls for Canadian GC cloud workloads handling Protected B data. Produces a phased compliance assessment with AWS control inheritance and risk-rated gap analysis. Use when asked to assess ITSG, run a CCCS Medium compliance check, evaluate Canadian cloud compliance, map ITSG-33 controls, perform a GC cloud security assessment, or check Protected B data handling requirements. Do NOT use for FedRAMP, NIST CSF, SOC 2, PBMM standalone reviews, TBS cloud profile assessments, or other non-ITSG-33 compliance frameworks.

ottawacloudconsulting Bundle

Run Terraform (and OpenTofu) validation, security scanning, planning, and deployment testing for .tf and .tfvars files. Use when the user asks to test Terraform or OpenTofu code, validate Terraform configurations, run Terraform checks, deploy Terraform to a dev environment, or test tofu configs. Triggers on requests like "test terraform", "validate my terraform", "run terraform checks", "deploy terraform to dev", "/test-terraform", "test opentofu", "validate my tofu", or "run tofu checks". Do NOT use for CloudFormation, Pulumi, CDK, or non-Terraform infrastructure code.

ottawacloudconsulting Bundle

Map project architecture to NIST Cybersecurity Framework (CSF) 2.0 outcomes. Produces a phased assessment at the subcategory level with cloud service evidence mapping and NIST 800-53 informative references. Always uses the latest published CSF version. Use when asked to assess CSF compliance, run a NIST CSF mapping, check Cybersecurity Framework posture, evaluate CSF 2.0 controls, or perform a cybersecurity framework assessment. Do NOT use for general security audits, penetration testing, ITSG assessments, FedRAMP assessments, or standalone NIST SP 800-53 control assessments — use the dedicated skills for those frameworks.

azure-azure-sdk-for-js Bundle

Regenerate the @azure/ai-projects client from the latest TypeSpec commit on Azure/azure-rest-api-specs. Use when refreshing emitted code, bumping the pinned tsp-location commit, running tsp-client update, or pulling in upstream Foundry spec changes. Handles the rename dance between tsp-location.saved.yaml and tsp-location.yaml, and captures upstream commit descriptions for post-merge validation.

azure-azure-sdk-for-js Bundle

Domain knowledge for @azure/search-documents. Covers architecture, type conversions, data flow, and common pitfalls. WHEN: regenerate search-documents; modify search-documents; fix search-documents bug; add search-documents feature; search-documents tsp-client update.

azure-azure-sdk-for-js Bundle

Sync Microsoft Foundry JavaScript/TypeScript documentation after an @azure/ai-projects release. Use when a stable package version has shipped and azure-ai-docs-pr needs its SDK version guidance, inline JavaScript snippets, TypeScript snippets, includes, or external sample references audited against the released API. Verifies the release tag and npm publication, derives API changes from the release diff, updates only affected Foundry docs, and validates snippets before handoff. Do not use for unreleased builds or Foundry classic 1.x docs.

azure-azure-sdk-for-js Bundle

Guide SDK users through setting up their JavaScript / Node.js environment for Azure AI Content Understanding. Use this skill when users need help installing the SDK, configuring Azure resources, deploying required models, setting environment variables, or running samples.

azure-azure-sdk-for-js Bundle

Run a specific sample for the Azure AI Content Understanding JavaScript SDK. Use when users want to run a particular sample like analyzeUrl.js or analyzeInvoice.js.

azure-azure-sdk-for-js Skill

Domain knowledge for Azure AI Content Understanding. Use this skill to answer questions about Content Understanding concepts, analyzers, field schemas, API operations, and JavaScript SDK usage. Always consult official documentation before answering.

yuki001 Bundle

Comprehensive ImageMagick 7 command-line image processing for inspecting, converting, resizing, cropping, compositing, masking, drawing, annotating, color correction, quantization, filtering, morphology, distortion, animation, montage, comparison, metadata, batch automation, and advanced pixel analysis. Use whenever a task mentions ImageMagick, `magick`, `identify`, `mogrify`, raster image conversion or batch image manipulation, or when a reproducible CLI pipeline is preferable to a GUI or language binding. Also use for debugging ImageMagick commands, porting ImageMagick 6 `convert` syntax to version 7, choosing coder/delegate options, and safely processing untrusted or large images. Do not use merely to edit an existing SVG as vector source or when the user explicitly requests a different image tool.

ottawacloudconsulting Bundle

Map AWS project architecture to NIST SP 800-53 Rev 5 / FedRAMP Moderate security controls. Produces a phased compliance assessment (4 output documents) with AWS shared responsibility inheritance and risk-rated gap analysis. Use when asked to assess FedRAMP compliance, run a NIST 800-53 control mapping, check FedRAMP Moderate controls, evaluate FedRAMP posture, perform a NIST 800-53 assessment, or assess for FedRAMP ATO readiness. Do NOT use for NIST CSF assessments, ITSG-33 assessments, FedRAMP High or Low baselines, or non-AWS cloud environments.

ottawacloudconsulting Skill

Reads docs/TENANT_PROFILE.md and produces a WAR-specific governance baseline. Maps tenant-level controls (SCPs, guardrails, centralized services, compliance baselines) to the 6 AWS WAF pillars. Identifies inherited controls vs workload responsibilities. Uses AskUserQuestion to resolve gaps.

awslabs-cli-agent-orchestrator Skill

Author and run CAO Python workflow scripts — multi-step, parameterized, fan-out orchestrations executed by `cao workflow run`. Use when the user wants a repeatable multi-step job (e.g. data analysis over many files, a review pipeline, a parameterized batch). Authoring ends at a validated script file; running it is a separate, user-approved step.

yldgio Skill

Azure Bicep IaC patterns, parameterization, security, and modular design

yldgio Skill

Dockerfile best practices, security hardening, multi-stage builds, and image optimization

yldgio Skill

Terraform IaC patterns, state management, security, and modular design

yldgio Skill

Azure DevOps pipeline security, YAML structure, variable management, and deployment patterns

martin-janci-claude-marketplace Skill

k9s terminal UI for Kubernetes cluster management. Use when navigating clusters interactively, viewing logs in real-time, managing resources through terminal UI, or when user mentions k9s, terminal kubernetes, or interactive cluster management. Covers keyboard shortcuts, navigation, plugins, and configuration.

martin-janci-claude-marketplace Skill

Kubernetes cluster operations, deployments, and troubleshooting. Use when deploying manifests, checking rollout status, monitoring pods, debugging failures, viewing logs, managing namespaces, or any kubectl operations. Triggers on mentions of kubernetes, k8s, kubectl, pods, deployments, services, namespaces, or cluster management.

martin-janci-claude-marketplace Skill

SSH operations for remote server management, tunneling, and proxy-based connections. Use when connecting to remote servers, running remote commands, setting up SSH tunnels, port forwarding, managing jump hosts/bastions, or executing kubectl/k9s on remote clusters. Triggers on SSH, remote, tunnel, bastion, jump host, port forward, or remote kubernetes access.

martin-janci-claude-marketplace Skill

Kubernetes troubleshooting and debugging workflows. Use when diagnosing pod failures, networking issues, resource problems, CrashLoopBackOff, ImagePullBackOff, pending pods, OOMKilled, or any cluster issues. Covers systematic debugging approaches and common failure patterns.

martin-janci-claude-marketplace Skill

Generate Kubernetes manifest templates for deployments, services, configmaps, secrets, ingress, and other resources. Use when creating new k8s resources, scaffolding applications, or needing YAML templates. Triggers on requests to create, generate, or scaffold kubernetes resources.

indiosmo Bundle

Author and review Dockerfiles and Docker Compose stacks.

indiosmo Bundle

Write, review, and debug Ansible playbooks, roles, and inventories.

falconnt Skill

Use when building, designing, or coding Azure Logic Apps Consumption workflows - covers architecture patterns, Code View JSON conventions, error handling, performance optimization, security, naming conventions, and deployment best practices

ai-dynamo-dynamo Skill

Adds, updates, moves, or removes content on the Dynamo Fern docs site — standard docs pages, catalog-driven recipe and feature-benchmark pages, examples, recipes, and translations — keeping everything in line with the documentation style guide. Use for any change under docs/, recipes/, or examples/ (new page, edit, tab or section move, rename, removal, recipe/benchmark page, .zh-CN translation, version cut), when deciding which docs tab a page belongs in (Kubernetes Guide vs CLI Guide vs Reference vs Use Cases), and whenever content needs its frontmatter, headings, links, callouts, or terminology fixed.

jwilger Bundle

Autonomous build-phase orchestrator with 8-stage per-slice pipeline (decompose, slice readiness review, implement via TDD pairs, three-stage code review, address feedback, mutation testing, push/CI, merge/flag). Manages slice queue (walking skeleton first, dependency ordering), dispatches TDD pairs with capability detection, enforces 5 binary quality gates with 3-cycle rework budgets and human escalation, maintains audit trail, and respects strict controller boundaries (never writes code, delegates all creative work). Supports three autonomy levels (conservative/standard/full). Use when running factory mode, orchestrating build phases, managing slice queues, or coordinating TDD pairs with review gates. Triggers on: "run the pipeline", "factory mode", "build phase", "slice queue", "quality gates", "autonomous build". NOT for: individual TDD (use tdd), standalone code reviews (use code-review), CI-only workflows (use ci-integration).

jwilger Skill

Deterministic CI/CD interaction patterns with structured evidence output. Push-and-wait discipline (one pending run at a time), five-category failure triage (test-failure, lint-failure, build-failure, flaky-test, infra-failure) with classification-specific fix strategies, self-healing for lint/format/infra failures, flaky test detection, and CI_RESULT JSON evidence packets for every run. Use when pushing code to CI, triaging CI failures, waiting for pipeline results, classifying build errors, dealing with flaky tests, or producing CI evidence for quality gates. Triggers on: "CI failed", "push and wait for CI", "triage build failure", "flaky test", "CI pipeline", "build broke", "CI evidence". NOT for: individual test debugging (use debugging-protocol), code review (use code-review).

jwilger Skill

Structures the human review experience for factory-mode builds with dashboard-style audit trail summaries (slice counts, rework rates, gate failure distribution), PR digests (per merged PR with gate results), retrospective synthesis (recurring rework causes, pair effectiveness, domain hotspots), quality trend tracking (session-over-session comparison), escalation review (rework history with resolve/override/send-back options), and autonomy tuning interface. Use during Phase 3 human review of factory-mode builds or when assessing autonomous build quality. Triggers on: "review the build", "factory review", "audit trail", "quality trends", "escalation review", "PR digest", "autonomy tuning", "rework rate". NOT for: running the pipeline (use pipeline), individual code reviews (use code-review).

ai-dynamo-dynamo Skill

Drafts a candidate baseline DynamoGraphDeployment from interview requirements when no catalog recipe matches the user's model, hardware, and backend, presenting per-decision evidence for the user's confirmation. Use only from user-interviewer at interview time, at rung 3 of the baseline-source ladder, and never to deploy or to replace a baseline the user already provided.

ai-dynamo-dynamo Skill

Deploys one assigned DynamoGraphDeployment and proves it with an OpenAI-compatible smoke test. Use when user-interviewer has captured the user-provided baseline DGD or hypothesis-challenger has approved a later DGD.

ai-dynamo-dynamo Skill

Launches, monitors, debugs, and collects one run-scoped AIPerf Kubernetes benchmark without changing its workload semantics. Use after perf.yaml and aiperf-config.yaml have been configured for a smoke-tested Dynamo deployment.