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create-pipeline

Generate Harness v0 Pipeline YAML for CI/CD workflows and create them via MCP. Supports CI stages (build, test, Docker push), CD stages (Kubernetes, Helm, ECS, serverless), approval gates, parallel execution, matrix strategies, and failure rollback. Use when asked to create a pipeline, build pipeline, deployment pipeline, CI/CD workflow, or set up Harness pipelines. Do NOT use for v1 simplified pipelines (use create-pipeline-v1). Trigger phrases: create pipeline, build pipeline, deployment pipeline, CI/CD, Harness pipeline, Kubernetes deploy pipeline.

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thisrohangupta/cursor-harness-plugin
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16 avril 2026 à 23:31
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SKILL.md
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name
create-pipeline
description
Generate Harness v0 Pipeline YAML for CI/CD workflows and create them via MCP. Supports CI stages (build, test, Docker push), CD stages (Kubernetes, Helm, ECS, serverless), approval gates, parallel execution, matrix strategies, and failure rollback. Use when asked to create a pipeline, build pipeline, deployment pipeline, CI/CD workflow, or set up Harness pipelines. Do NOT use for v1 simplified pipelines (use create-pipeline-v1). Trigger phrases: create pipeline, build pipeline, deployment pipeline, CI/CD, Harness pipeline, Kubernetes deploy pipeline.
metadata
{"author":"Harness","version":"2.2.0","mcp-server":"harness-mcp-v2"}
license
Apache-2.0
compatibility
Requires Harness MCP v2 server (harness-mcp-v2)
# Create Pipeline Generate Harness v0 Pipeline YAML and optionally push to Harness via MCP. ## Instructions 1. **Analyze codebase** (if source code is available) - Scan the project to auto-detect language, build tools, test frameworks, containerization, deployment manifests, and target infrastructure. Use the detection tables and decision tree in `references/codebase-analysis.md` to determine: - Language and runtime version (package.json → Node.js, go.mod → Go, pom.xml → Java, etc.) - Build commands and base images - Test framework and report format (Jest → JUnit, pytest → JUnit XML, etc.) - Linter and formatter (ESLint, Prettier, Ruff, etc.) - Dockerfile presence and registry type (Docker Hub, ECR, GCR, ACR) - Deployment manifests → Harness service/deployment type (k8s manifests → Kubernetes, Chart.yaml → NativeHelm, task-definition.json → ECS, serverless.yml → ServerlessAwsLambda) - Existing CI/CD configs for migration (GitHub Actions, Jenkins, GitLab CI, etc.) 2. **Clarify requirements** - Confirm detected settings with the user. **Ask about anything that couldn't be auto-detected** — do not guess or use placeholders. If the user's request is ambiguous, ask before generating YAML. Examples of what to ask when missing: - **Deployment target / infrastructure:** region (e.g. us-east-1), cluster name or ID, account ID (e.g. AWS account for ECR/ECS) - **Registry:** which registry (Docker Hub, ECR, GCR, ACR), registry identifier/URL, repo path - **Cloud provider:** which account, region, and resource identifiers for connectors/infrastructure - **Approval gates, notification channels** if relevant **Critical rule:** Never hardcode placeholder values (e.g. `123456789012`, `us-east-1`, `my-cluster`) for deployment target, region, registry, or cluster when the user did not specify them — ask the user instead. If the user did not specify region, account ID, cluster, or registry (e.g. "deploys to ECS" with no region or cluster), ask the user for those values before generating YAML. 3. **Select native steps** - Always prefer Harness native steps over `Run` or `ShellScript` steps. Consult `references/native-steps.md` for the full mapping. Key rules: - Docker build/push → use `BuildAndPushDockerRegistry` / `BuildAndPushECR` / `BuildAndPushGCR` / `BuildAndPushACR` (never `Run: docker build && docker push`) - K8s deploy → use `K8sRollingDeploy` / `K8sBlueGreenDeploy` / `K8sCanaryDeploy` (never `Run: kubectl apply`) - Helm deploy → use `HelmDeploy` (never `Run: helm upgrade --install`) - ECS deploy → use `EcsRollingDeploy` (never `Run: aws ecs update-service`) - Terraform → use `TerraformPlan` / `TerraformApply` (never `Run: terraform apply`) - Security scanning → use native STO steps (`AquaTrivy`, `Snyk`, `Sonarqube`, `Semgrep`, etc.) - Uploads → use `S3Upload` / `GCSUpload` (never `Run: aws s3 cp`) - Approvals → use `HarnessApproval` / `JiraApproval` (never polling scripts) - Ticketing → use `JiraCreate` / `ServiceNowCreate` (never `Run: curl`) - Use `Run` steps only for custom build/test/lint commands with no native equivalent - **Test steps:** Any Run step that runs unit or integration tests must include a `reports` block (e.g. `type: JUnit`, `spec.paths`) so Harness can capture results; see `references/codebase-analysis.md` for framework → report path. 4. **Generate valid YAML** following the structure below, using the detected build/test/deploy commands. **Validation rules:** (a) Stage names must match `^[a-zA-Z_0-9-.][-0-9a-zA-Z_\\s.]{0,127}$` — use only letters, numbers, spaces, hyphens, underscores, or periods (no commas). (b) Every CI and CD stage must include a `failureStrategies` array (Approval stages do not require one). For CI use `MarkAsFailure` (never `Ignore` — it hides failures); for CD use `StageRollback`. 5. **Optionally create via MCP** — First verify the project exists (see "Creating via MCP" section below), then use `harness_create` with resource_type `pipeline` and `body: { yamlPipeline: "<YAML string>" }` ## Pipeline Structure ```yaml pipeline: identifier: my_pipeline # ^[a-zA-Z_][0-9a-zA-Z_]{0,127}$ name: My Pipeline orgIdentifier: default projectIdentifier: my_project tags: {} properties: ci: codebase: # Required for CI stages connectorRef: github_connector repoName: my-repo build: type: branch spec: branch: <+trigger.branch> stages: - stage: ... ``` ## Stage Types ### CI Stage (type: CI) ```yaml - stage: identifier: build name: Build type: CI spec: cloneCodebase: true platform: os: Linux arch: Amd64 runtime: type: Cloud # Cloud, Kubernetes, VM, Docker spec: {} execution: steps: - step: ... failureStrategies: - onFailure: errors: [AllErrors] action: type: MarkAsFailure ``` ### CD Stage (type: Deployment) ```yaml - stage: identifier: deploy name: Deploy type: Deployment spec: deploymentType: Kubernetes # Kubernetes, NativeHelm, ECS, ServerlessAwsLambda, Ssh, WinRm, AzureWebApp service: serviceRef: my_service environment: environmentRef: dev infrastructureDefinitions: - identifier: k8s_dev execution: steps: - step: ... rollbackSteps: - step: ... failureStrategies: - onFailure: errors: [AllErrors] action: type: StageRollback ``` ### Approval Stage (type: Approval) `HarnessApproval` requires `approvers.disallowPipelineExecutor` (required by the API). Set it to `true` so the pipeline executor cannot approve their own run; omit it and the API returns "disallowPipelineExecutor: is missing but it is required". ```yaml - stage: identifier: approval name: Approval type: Approval spec: execution: steps: - step: identifier: approve name: Approve type: HarnessApproval spec: approvalMessage: "Please review and approve" approvers: userGroups: [prod_approvers] minimumCount: 1 disallowPipelineExecutor: true includePipelineExecutionHistory: true timeout: 1d failureStrategies: - onFailure: errors: [AllErrors] action: type: Abort ``` ## Common Step Types ### Run Step ```yaml - step: identifier: run_tests name: Run Tests type: Run spec: shell: Bash # Sh, Bash, Powershell, Pwsh, Python command: | npm ci npm test envVariables: NODE_ENV: test reports: type: JUnit spec: paths: ["junit.xml"] ``` ### Build and Push Docker ```yaml - step: identifier: docker_push name: Build and Push type: BuildAndPushDockerRegistry spec: connectorRef: dockerhub repo: myorg/myimage tags: [latest, <+pipeline.sequenceId>] dockerfile: Dockerfile ``` ### K8s Rolling Deploy ```yaml - step: identifier: rollout name: Rollout type: K8sRollingDeploy spec: skipDryRun: false timeout: 10m ``` ### K8s Rolling Rollback ```yaml - step: identifier: rollback name: Rollback type: K8sRollingRollback spec: {} timeout: 10m ``` For the complete catalog of 300+ native step types (cloud deployments, security scanners, IaC, ticketing, approvals, GitOps, and more), consult `references/native-steps.md`. Always check this reference before using a `Run` step. ## Variables and Expressions ```yaml pipeline: variables: - name: env type: String default: dev - name: api_key type: Secret value: <+secrets.getValue("api_key")> ``` Common expressions: - `<+pipeline.variables.env>` - Pipeline variable - `<+stage.variables.VAR>` - Stage variable - `<+steps.step_id.output.outputVariables.VAR>` - Step output - `<+trigger.branch>`, `<+trigger.commitSha>` - Trigger info - `<+secrets.getValue("name")>` - Secret reference - `<+pipeline.sequenceId>` - Build number ## Parallel Execution ```yaml # Parallel steps - parallel: - step: ... - step: ... # Parallel stages stages: - parallel: - stage: ... - stage: ... ``` ## Failure Strategies ```yaml failureStrategies: - onFailure: errors: [AllErrors] # AllErrors, Timeout, Authentication, Connectivity action: type: StageRollback # Ignore, Retry, MarkAsSuccess, Abort, StageRollback, PipelineRollback ``` ## Conditional Execution ```yaml - stage: when: pipelineStatus: Success condition: <+pipeline.variables.deploy> == "true" ``` ## Matrix Strategy **Placement:** `strategy` must be at the **stage level**, as a **sibling of `spec`**, not inside `spec`. If you put `strategy` under `spec`, the matrix will not be applied and the UI will not show matrix iterations. Reference matrix values in steps with `<+stage.matrix.TAG>` (e.g. `<+stage.matrix.python_version>`). Use hyphen-free dimension names (e.g. `python_version` not `python-version`). ```yaml - stage: identifier: test_matrix name: Test Matrix type: CI spec: cloneCodebase: true platform: os: Linux arch: Amd64 runtime: type: Cloud spec: {} execution: steps: - step: type: Run spec: image: node:<+stage.matrix.node_version> command: npm test strategy: matrix: node_version: ["16", "18", "20"] os: [linux, macos] maxConcurrency: 3 failureStrategies: - onFailure: errors: [AllErrors] action: type: Abort ``` ## Creating via MCP After generating the YAML, create it in Harness: 1. **Verify the project exists** — List projects with `harness_list` (resource_type: `project`, org_id) to confirm. If the project does not exist, create it first with `harness_create` (resource_type: `project`, body: `{ identifier, name }`) or ask the user. 2. **Create the pipeline** — Use `harness_create` with `resource_type: "pipeline"` (v0). For v1 YAML use `resource_type: "pipeline_v1"` — but this skill generates v0; use `/create-pipeline-v1` for v1. Serialize the YAML as a **`yamlPipeline`** string in the body. Do not pass a nested JSON `pipeline` object; it causes serialization errors. ``` Call MCP tool: harness_create Parameters: resource_type: "pipeline" org_id: "<organization>" project_id: "<project>" body: { yamlPipeline: "<full pipeline YAML string, including 'pipeline:' root key>" } ``` **Example body** (abbreviated): ```json { "yamlPipeline": "pipeline:\n identifier: nodejs_ci\n name: Node.js CI\n projectIdentifier: my_project\n orgIdentifier: default\n stages:\n - stage:\n identifier: build\n ..." } ``` To update an existing pipeline, use the same `yamlPipeline` format: ``` Call MCP tool: harness_update Parameters: resource_type: "pipeline" resource_id: "<pipeline_identifier>" org_id: "<organization>" project_id: "<project>" body: { yamlPipeline: "<full updated pipeline YAML string>" } ``` To verify it was created: ``` Call MCP tool: harness_get Parameters: resource_type: "pipeline" resource_id: "<pipeline_identifier>" org_id: "<organization>" project_id: "<project>" ``` ## Complete CI Example ```yaml pipeline: identifier: nodejs_ci name: Node.js CI projectIdentifier: my_project orgIdentifier: default properties: ci: codebase: connectorRef: github_connector repoName: my-app build: type: branch spec: branch: <+trigger.branch> stages: - stage: identifier: build_and_test name: Build and Test type: CI spec: cloneCodebase: true platform: os: Linux arch: Amd64 runtime: type: Cloud spec: {} execution: steps: - step: identifier: install name: Install type: Run spec: shell: Bash command: npm ci - parallel: - step: identifier: lint name: Lint type: Run spec: shell: Bash command: npm run lint - step: identifier: test name: Test type: Run spec: shell: Bash command: npm test reports: type: JUnit spec: paths: ["junit.xml"] - step: identifier: docker_push name: Build and Push type: BuildAndPushDockerRegistry spec: connectorRef: dockerhub repo: myorg/my-app tags: [<+pipeline.sequenceId>, latest] failureStrategies: - onFailure: errors: [AllErrors] action: type: MarkAsFailure ``` ## Complete CD Example ```yaml pipeline: identifier: k8s_deploy name: K8s Deploy projectIdentifier: my_project orgIdentifier: default stages: - stage: identifier: deploy_staging name: Deploy Staging type: Deployment spec: deploymentType: Kubernetes service: serviceRef: my_service environment: environmentRef: staging infrastructureDefinitions: - identifier: k8s_staging execution: steps: - step: identifier: rollout name: Rollout type: K8sRollingDeploy spec: skipDryRun: false timeout: 10m rollbackSteps: - step: identifier: rollback name: Rollback type: K8sRollingRollback spec: {} timeout: 10m failureStrategies: - onFailure: errors: [AllErrors] action: type: StageRollback - stage: identifier: approval name: Production Approval type: Approval spec: execution: steps: - step: identifier: approve name: Approve Prod type: HarnessApproval spec: approvalMessage: "Approve production deployment?" approvers: userGroups: [prod_approvers] minimumCount: 1 disallowPipelineExecutor: true includePipelineExecutionHistory: true timeout: 1d failureStrategies: - onFailure: errors: [AllErrors] action: type: Abort - stage:
Voir sur GitHub
Ce SKILL.md est tres volumineux, SkillsMP affiche donc ici seulement la premiere section. Voir sur GitHub