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thisrohanguptathisrohangupta/harness-skills/.github/copilot-instructions.md

harness-skills

Copilot instructions2 starsChanged 7 months agoApache-2.0Archived repositoryView on GitHub

This repository contains Claude Code skills for working with Harness.io CI/CD platform. All skills use the Harness MCP v2 server's consolidated tool interface. All skills use the Harness MCP v2 server which provides 10 generic tools operating across 119+ resource types: Tools accept a resourcetype parameter (e.g., pipeline, secret, template) to target specific Harness resources. Tools also support Harness UI URL auto-extraction for orgid, projectid, resourcetype, and resource_id. Skills live in skills/<skill-name>/SKILL.md. Each skill folder may contain references/, scripts/, and…

We split this copilot-instructions.md into the rules it gives an agent

9 rules. About 0 are common, 7 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈7

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    All skills use the Harness MCP v2 server which provides 10 generic tools operating across 119+ resource types:

    line 7
  2. Distinctive:

    When users need end-to-end setup, follow these dependency chains.

    line 91
  3. Distinctive:

    Use when a user wants to deploy a new service to Harness.

    line 95
  4. Distinctive:

    Use when a user is setting up a brand new Harness project from scratch:

    line 107
  5. Distinctive:

    Key rule: Always check if a referenced resource (connector, secret, environment) exists before creating something that depends on it.

    line 118
  6. Distinctive:

    Before making any MCP API call that creates or modifies resources, always establish the user's scope:

    line 122
  7. Distinctive:

    Ask for org and project: if not already known. Most Harness resources are scoped to an org + project.

    line 124
  8. Very specific:

    When creating resources via harness_create, the Harness API validates the payload and returns specific error messages for malformed …

    line 131
  9. Very specific:

    When creating or modifying skills, run scripts/validate-skills.sh to check compliance.

    line 142

≈ “Common” is an estimate: at least 1 in 5 of the 3,669 Copilot instructions files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
copilot-instructions.md

Harness Skills

This repository contains Claude Code skills for working with Harness.io CI/CD platform. All skills use the Harness MCP v2 server's consolidated tool interface.

MCP v2 Server

All skills use the Harness MCP v2 server which provides 10 generic tools operating across 119+ resource types:

ToolPurpose
harness_listList resources with filters and pagination
harness_getGet a single resource by ID
harness_createCreate a resource (requires confirmation)
harness_updateUpdate a resource (requires confirmation)
harness_deleteDelete a resource (requires confirmation)
harness_executeRun, retry, interrupt, sync, toggle, approve, reject, test_connection
harness_searchCross-resource keyword search
harness_describeLocal metadata/schema lookup (no API call)
harness_diagnosePipeline failure analysis
harness_statusProject health overview

Tools accept a resource_type parameter (e.g., pipeline, secret, template) to target specific Harness resources. Tools also support Harness UI URL auto-extraction for org_id, project_id, resource_type, and resource_id.

Skill Directory

Skills live in skills/<skill-name>/SKILL.md. Each skill folder may contain references/, scripts/, and assets/ subdirectories.

Pipeline & Execution

SkillDescription
/create-pipelineGenerate v0 pipeline YAML (CI, CD, combined, approvals)
/create-pipeline-v1Generate v1 simplified pipeline YAML
/create-triggerCreate webhook, scheduled, and artifact triggers
/create-templateCreate reusable step, stage, pipeline, and step group templates
/run-pipelineExecute and monitor pipeline runs
/debug-pipelineDiagnose pipeline execution failures
/migrate-pipelineConvert v0 pipelines to v1 format

Infrastructure & Resources

SkillDescription
/create-serviceDefine services (Kubernetes, Helm, ECS) with artifact sources
/create-environmentCreate environments (PreProduction, Production) with overrides
/create-infrastructureDefine infrastructure (K8s, ECS, Serverless)
/create-connectorCreate connectors (GitHub, AWS, GCP, Azure, Docker, K8s)
/create-secretManage secrets (SecretText, SecretFile, SSHKey, WinRM)

Access Control & Users

SkillDescription
/manage-usersManage users, user groups, and service accounts
/manage-rolesRBAC roles, assignments, permissions, and resource groups

Feature Flags

SkillDescription
/manage-feature-flagsCreate, list, toggle, and delete feature flags

Platform Operations

SkillDescription
/manage-delegatesMonitor delegate health and manage registration tokens

Observability & Governance

SkillDescription
/analyze-costsCloud cost analysis, recommendations, and anomaly detection
/security-reportSecurity vulnerabilities, SBOMs, and compliance reports
/dora-metricsDORA metrics and engineering performance reports
/gitops-statusGitOps application health, sync status, and pod logs
/chaos-experimentCreate and run chaos engineering experiments
/scorecard-reviewIDP scorecards and service maturity review
/audit-reportAudit trails and compliance evidence (SOC2, GDPR, HIPAA)
/template-usageTemplate dependency tracking, impact analysis, and adoption
/create-policyCreate OPA governance policies for supply chain security

Agents

SkillDescription
/create-agent-templateGenerate AI agent templates (metadata.json, pipeline.yaml, wiki.MD)

Cross-Skill Workflows

When users need end-to-end setup, follow these dependency chains. Each step depends on the previous -- do not skip steps or create resources that reference connectors/secrets that don't exist yet.

New Microservice Setup

Use when a user wants to deploy a new service to Harness. Follow this exact order:

  1. Create connectors (/create-connector) -- GitHub connector for source code and manifests, Docker/ECR/GCR connector for container images, K8s/cloud connector for target infrastructure
  2. Create secrets (/create-secret) -- Authentication tokens, SSH keys, or credentials referenced by connectors
  3. Create service (/create-service) -- Reference the Git connector for manifests, reference the Docker connector for artifact source
  4. Create environment (/create-environment) -- PreProduction and/or Production with environment-specific variables
  5. Create infrastructure (/create-infrastructure) -- Reference the K8s/cloud connector for the target cluster. If no connector exists for the target, create one first
  6. Create pipeline (/create-pipeline) -- Build pipeline based on source code language and manifest type. Reference the service, environment, and infrastructure from previous steps
  7. Create trigger (/create-trigger) -- Automate the pipeline with webhook (PR/push) or artifact triggers

New Project Onboarding

Use when a user is setting up a brand new Harness project from scratch:

  1. Create project -- Use harness_create with resource_type: "project" and the target org_id
  2. Create connectors (/create-connector) -- All connectors needed for the project (Git, cloud, registry, cluster)
  3. Create secrets (/create-secret) -- All secret references for connector auth
  4. Create service (/create-service) -- Service definitions for each microservice
  5. Create environment (/create-environment) -- Dev, staging, production environments
  6. Create infrastructure (/create-infrastructure) -- Infrastructure definitions per environment
  7. Create pipeline (/create-pipeline) -- CI/CD pipelines for each service
  8. Create trigger (/create-trigger) -- Automate all pipelines

Key rule: Always check if a referenced resource (connector, secret, environment) exists before creating something that depends on it. If it doesn't exist, create it first. Ask the user for the org and project context before starting.

Scope & Context Convention

Before making any MCP API call that creates or modifies resources, always establish the user's scope:

  1. Ask for org and project if not already known. Most Harness resources are scoped to an org + project.
  2. Use harness_list to verify referenced resources exist before creating dependents (e.g., confirm a connector exists before referencing it in a service).
  3. Account-level resources (no org/project) are visible to all orgs and projects. Org-level resources are visible to all projects in that org. Project-level resources are only visible within that project.
  4. If the user provides a Harness UI URL, extract org_id, project_id, and resource_id from it -- MCP tools support URL auto-extraction.

Schema Validation Convention

When creating resources via harness_create, the Harness API validates the payload and returns specific error messages for malformed requests. Skills do NOT need to embed full API schemas. Instead:

  1. Each skill lists required fields in its Instructions section (identifier, name, type, yaml, etc.)
  2. Use harness_describe to discover the full schema for any resource type at runtime -- this is a local lookup with no API call:
    harness_describe(resource_type="service")
  3. On validation errors, read the API error message to identify the missing or invalid field, then fix and retry

Skill Standards

When creating or modifying skills, run scripts/validate-skills.sh to check compliance. See CONTRIBUTING.md for the full structure guide. Skills must have: frontmatter (name, description, metadata, license, compatibility), ## Instructions, ## Examples, ## Performance Notes, and ## Troubleshooting sections.

Schema References

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