| name | keel |
| description | Generate Infrastructure as Code (IaC) pipelines that provision the cloud and container infrastructure your app deploys to. Interview-driven: detects your stack and cloud provider, then outputs deterministic IaC files (Terraform, Bicep, Pulumi, or CDK) plus CI/CD pipelines that plan on PR and apply on merge. Use when setting up cloud infrastructure, provisioning container registries, databases, networking, DNS, or any infrastructure that containers deploy onto. Designed to run before /dock — /keel lays the infrastructure, /dock deploys to it. |
| argument-hint | --plan-only, --skip-interview, --dry-run, --tool terraform|bicep|pulumi|cdk |
| allowed-tools | Bash, Read, Write, Edit, Glob, Grep, AskUserQuestion, Agent |
Keel - Infrastructure as Code Pipelines
When this skill is invoked, IMMEDIATELY output the banner below before doing anything else.
Pick ONE tagline at random — vary your choice each time.
CRITICAL: Reproduce the banner EXACTLY character-for-character. The first line of the art has 4 leading spaces — you MUST preserve them.
{tagline}
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Taglines:
- ⚓ Laying the keel — everything builds on this!
- 🏗️ Infrastructure from code, not from clicks!
- 🌍 Terraforming your cloud, one resource at a time!
- 🔩 Bolting down the foundation!
- ☁️ Cloud infrastructure, declared and versioned!
- 🧱 No infra, no deploy — let's fix that!
- 📐 Measure twice, provision once!
- 🗺️ Charting the infrastructure map!
Provision cloud and container infrastructure through an interview-driven workflow
that generates deterministic IaC files and CI/CD pipelines. The generated pipelines
run plan on every PR and apply on merge to the default branch — no LLM at runtime.
Recommended skill order:
/brace → /rig → /build → /ship → /keel → /dock
/keel lays the infrastructure (registries, compute, networking, databases).
/dock creates the deployment pipelines that push containers onto that infrastructure.
Flags
Parse optional flags from the request:
--plan-only: Generate IaC files but no CI/CD pipeline
--skip-interview: Use detected defaults without interactive prompts
--dry-run: Show what would be generated without writing files
--tool <name>: Force a specific IaC tool (terraform, bicep, pulumi, cdk)
Output Formatting
Input display: ┌─ Input │ {fields} └─. Pre-flight: ── Pre-flight ── ✅/⚠️/❌ ──.
Stage headers: ━━ {N} · {Name} ━━━━━━━━━━━━━. Icons: ✅ done · ❌ fail · ⚠️ warn · ⏳ work · ⏭️ skip.
Platform Detection
Detect the hosting platform before pre-flight so dependency checks are
platform-specific:
REMOTE_URL=$(git remote get-url origin 2>/dev/null)
if echo "$REMOTE_URL" | grep -qiE 'dev\.azure\.com|visualstudio\.com'; then
PLATFORM="azdo"
elif echo "$REMOTE_URL" | grep -qi 'github\.com'; then
PLATFORM="github"
else
PLATFORM="github"
fi
Pass {PLATFORM} into all phase prompts. Each phase uses the appropriate
CLI tool: gh for GitHub, az repos/az pipelines for Azure DevOps.
Pre-flight
Before starting, check all dependencies in this table. The table contains
all dependencies — some are platform-conditional (see notes after table).
| Dependency | Type | Check | Required | Resolution | Detail |
|---|
| git | cli | git --version | yes | stop | Install from https://git-scm.com |
| sync | skill | ls .claude/skills/sync/SKILL.md ~/.claude/skills/sync/SKILL.md ~/.claude/plugins/marketplaces/slamb2k/skills/sync/SKILL.md 2>/dev/null | no | fallback | Repo sync; falls back to manual git pull |
| terraform | cli | terraform --version | no | fallback | Detected if user wants Terraform; suggest install from https://terraform.io |
| az | cli | az --version | no | fallback | Needed for Bicep; suggest install from https://aka.ms/install-azure-cli |
| pulumi | cli | pulumi version | no | fallback | Detected if user wants Pulumi; suggest install from https://pulumi.com |
| cdk | cli | cdk --version | no | fallback | Detected if user wants AWS CDK; install via npm |
| gh | cli | gh --version | yes | url | https://cli.github.com |
| az devops | cli | az devops -h 2>/dev/null | no | fallback | Falls back to REST API with PAT; see AzDO tooling below |
Platform-conditional rules:
gh: Only required when PLATFORM == github. Skip for AzDO repos.
az devops: Only checked when PLATFORM == azdo. Skip for GitHub repos.
Only check the IaC tool row that matches the user's choice (or detected default).
Skip checks for tools not being used.
For each applicable row, in order:
- Skip rows that don't apply to the detected
{PLATFORM}
- Run the Check command (for cli/npm) or test file existence (for agent/skill)
- If found: continue silently
- If missing: apply Resolution strategy
- stop: notify user with Detail, halt execution
- url: notify user with Detail (install link), halt execution
- install: notify user, run the command in Detail, continue if successful
- ask: notify user, offer to run command in Detail, continue either way (or halt if required)
- fallback: notify user with Detail, continue with degraded behavior
- After all checks: summarize what's available and what's degraded
When PLATFORM == azdo, follow the shared AzDO platform guide
(repo root: references/azdo-platform.md) for tooling detection (AZDO_MODE)
and configuration validation (AZDO_ORG, AZDO_PROJECT).
Pass these variables into all phase prompts alongside {PLATFORM}.
Phase 0: Sync
Invoke /sync to ensure the working tree is up to date with origin/main.
Falls back to git pull if /sync is unavailable.
Phase 1: Detection
Launch an Explore subagent to scan the codebase for existing infrastructure.
Task(
subagent_type: "Explore",
description: "Detect existing IaC and cloud config",
prompt: <read from references/interview-guide.md#detection-prompt>
)
The detection scans for:
- Existing IaC: Terraform (.tf), Bicep (.bicep), Pulumi (Pulumi.yaml), CDK (cdk.json),
CloudFormation (template.yaml), ARM (azuredeploy.json)
- Cloud provider signals: Azure (azure-pipelines.yml, .azure/), AWS (.aws/, buildspec.yml),
GCP (.gcloud/, cloudbuild.yaml)
- Existing CI/CD: .github/workflows/, azure-pipelines.yml, .gitlab-ci.yml
- Container config: Dockerfile, docker-compose.yml (signals what infra is needed)
- Database signals: migrations/, prisma/schema.prisma, alembic/, knex migrations
- Existing /dock artifacts: deploy/ directory, environment matrix (signals target platforms)
- State backends: terraform.tfstate, .terraform/, Pulumi.*.yaml stacks
Parse INFRA_DETECTION_REPORT. This feeds into the interview.
Phase 2: Interview
Present detection results and fill gaps through guided questions.
Read the full interview flow from references/interview-guide.md#interview-questions.
The interview covers these topics in order. Skip questions where detection provided
high-confidence answers (but confirm with the user).
Topics covered (full prompts and options in references/interview-guide.md):
- Cloud Provider — Azure, AWS, GCP, Multi-cloud, Self-hosted. Infer from /dock if it has run.
- IaC Tool — Suggest by cloud: Azure→Bicep/Terraform, AWS→Terraform/CDK, GCP→Terraform/Pulumi, Multi-cloud→Terraform.
- Infrastructure Components — Checklist: container platform, data (DB, cache, storage, queues), networking, security, monitoring. Auto-check from codebase signals (Dockerfile→registry, migrations→DB, Redis client→cache).
- Environment Topology — Simple (dev+prod), Standard (dev+staging+prod), or Custom. Align with /dock if it has run.
- State Management — Terraform: cloud storage per provider. Bicep: ARM handles it. Pulumi: Pulumi Cloud. CDK: CloudFormation.
- CI/CD Strategy — Plan on PR + apply on merge (recommended), manual apply, or auto-apply.
- Naming Convention — CAF style, simple, or custom prefix.
- Integration with /dock — If /dock artifacts exist, offer to provision their deployment targets.
If --skip-interview: Use detected defaults + sensible defaults.
Compile all answers into an INFRA_CONFIG object for Phase 3.
Phase 3: Generate Artifacts
Based on INFRA_DETECTION_REPORT and INFRA_CONFIG, generate all IaC files.
Use templates from references/ as starting points.
3.1 — Project Structure
Generate an infra/ directory with this layout:
Terraform:
infra/
├── main.tf # Provider config, backend, module calls
├── variables.tf # Input variables
├── outputs.tf # Output values (registry URL, endpoints, etc.)
├── versions.tf # Required providers and versions
├── environments/
│ ├── dev.tfvars # Dev variable values
│ ├── staging.tfvars # Staging variable values
│ └── prod.tfvars # Prod variable values
└── modules/
├── registry/ # Container registry
├── compute/ # Container platform (AKS, ECS, Cloud Run, etc.)
├── database/ # Managed database
├── networking/ # VPC, DNS, load balancer
└── monitoring/ # Logging, metrics, alerts
Bicep:
infra/
├── main.bicep # Orchestration (module calls)
├── main.bicepparam # Parameter file template
├── environments/
│ ├── dev.bicepparam
│ ├── staging.bicepparam
│ └── prod.bicepparam
└── modules/
├── registry.bicep
├── compute.bicep
├── database.bicep
├── networking.bicep
└── monitoring.bicep
Pulumi:
infra/
├── Pulumi.yaml # Project config
├── Pulumi.dev.yaml # Dev stack config
├── Pulumi.staging.yaml # Staging stack config
├── Pulumi.prod.yaml # Prod stack config
├── index.ts # Main program (or __main__.py for Python)
└── resources/
├── registry.ts
├── compute.ts
├── database.ts
└── networking.ts
Only generate modules for components selected in the interview.
3.2 — State Backend Bootstrap
Generate infra/bootstrap.sh for first-time state backend setup.
Use the provider-specific template from references/iac-pipeline-templates.md#bootstrap-scripts.
3.3 — CI/CD Pipeline for IaC
Read the appropriate template from references/iac-pipeline-templates.md.
Platform branching:
- When
PLATFORM == github: Generate a GitHub Actions workflow. Output file:
.github/workflows/infra.yml. Use templates from the "GitHub Actions" section.
- When
PLATFORM == azdo: Generate an Azure DevOps Pipelines YAML file. Output
file: azure-pipelines-infra.yml. Use templates from the "Azure DevOps
Pipelines" section.
Generate a workflow that implements:
On pull request:
terraform init (or equivalent)
terraform plan with the target environment's vars
- Post plan output as PR comment (for review)
- Fail if plan has errors
On merge to default branch:
terraform init
terraform plan
terraform apply -auto-approve
- Output resource endpoints and connection strings
On environment promotion (tag or manual dispatch):
- Apply to staging with staging vars
- Apply to prod with prod vars (requires approval)
3.4 — Outputs for /dock
Generate an outputs file that /dock's pipelines can consume:
# outputs.tf
output "registry_url" {
value = module.registry.login_server
}
output "registry_name" {
value = module.registry.name
}
output "compute_endpoint" {
value = module.compute.endpoint
}
output "database_connection_string" {
value = module.database.connection_string
sensitive = true
}
These outputs become inputs for /dock's deployment pipelines — the registry URL
for pushing images, the compute endpoint for deploying containers, etc.
3.5 — Environment Variables Bridge
Generate a script or workflow step that reads IaC outputs and writes them as
CI/CD secrets/variables for /dock's pipelines.
Platform branching:
- When
PLATFORM == github: Use gh secret set / gh variable set commands.
Reference references/iac-pipeline-templates.md#infra/sync-outputs.sh.
- When
PLATFORM == azdo: Use az pipelines variable-group variable update /
az pipelines variable-group variable create commands. Reference
references/iac-pipeline-templates.md#infra/sync-outputs.sh (Azure DevOps).
GitHub example:
REGISTRY_URL=$(terraform output -raw registry_url)
gh secret set REGISTRY_URL --body "$REGISTRY_URL"
gh secret set DATABASE_URL --body "$(terraform output -raw database_connection_string)"
Azure DevOps example:
REGISTRY_URL=$(terraform output -raw registry_url)
az pipelines variable-group variable update --group-id "$VG_ID" --name REGISTRY_URL --value "$REGISTRY_URL"
az pipelines variable-group variable update --group-id "$VG_ID" --name DATABASE_URL --value "$(terraform output -raw database_connection_string)" --secret true
Phase 4: Verify
Validate generated IaC files:
Terraform:
cd infra && terraform init -backend=false && terraform validate
Bicep:
az bicep build --file infra/main.bicep
Pulumi:
cd infra && pulumi preview --stack dev
If the IaC tool is not installed, skip validation and note it in the report.
Also validate generated workflow files for YAML syntax.
Present the user with a summary of all generated files before writing.
If --dry-run: Show file list and content previews without writing.
Final Report
After all files are generated and verified, present:
┌─ Keel · Report ────────────────────────────────
│
│ ✅ Keel complete
│
│ ☁️ Provider: {cloud_provider}
│ 🔧 IaC Tool: {tool}
│ 🌍 Envs: {env1} → {env2} → {env3}
│ 💾 State: {state_backend}
│
│ 📝 Components: {checklist of selected}
│
│ 📊 Pipeline: PR → plan → Merge → apply dev → Tag → apply prod
│
│ 🔗 Links
│ Infra: {infra/ path}
│ Pipeline: {workflow path}
│ Bootstrap: ./infra/bootstrap.sh
│
│ ⚡ Next: 1. Run bootstrap 2. Configure secrets 3. Push 4. /dock
│
└─────────────────────────────────────────────────
After presenting the report, record lifecycle completion and surface the next step:
_R="${CLAUDE_PLUGIN_ROOT:-$HOME/.claude/plugins/marketplaces/slamb2k}"
node "$_R/hooks/session-guard.cjs" lifecycle-complete keel
If the command prints a LIFECYCLE_OFFER_BEGIN…END block, present that offer to
the user via AskUserQuestion as instructed inside the block. If it prints nothing
(or LIFECYCLE_OFFER_NONE), do not mention the lifecycle engine.
Idempotency
If /keel detects it has been run before (existing infra/ directory):
- Modules: Update existing; add new components without removing user customizations
- Variables: Merge new variables; preserve existing values
- Pipeline: Update steps; preserve custom jobs
- State config: Never overwrite backend config
- Always ask before overwriting existing files
Integration Points
- /dock: /keel provisions what /dock deploys to. /dock consumes outputs (registry URL, compute endpoints).
- /rig: Detects
infra/ and wires IaC pipeline into CI. /ship: Merge triggers IaC apply → /dock deploy.