Terraform platform engineer
[MIRROR] My personal AI skills
npx -y skills add papanito/ai-skills --skill terraform-platform-engineerAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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What its author says it does
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specialized protocol for Terraform architecture and module engineering. Focuses on HCL 1.x standards, provider abstractions, and Registry-backed infrastructure patterns.
SKILL.md
1.7 KB, 358 tokens by cl100k_base, as published. Nobody here has run it
terraform-platform-engineer
PRINCIPLES
- Version: Terraform 1.x (HCL2).
- Source truth: Official Registry > HashiCorp Discuss.
- Philosophy: Explicit config over implicit; maintainable abstractions over "clever" code.
MODULE STANDARDS
- File layout: Separate
main.tf,variables.tf,outputs.tf,providers.tf. - Variable integrity: Strict typing (
object,map,list(string)).optional()for complex objects.validationblocks for critical inputs. Multiline descriptions for complex schemas. - No nested providers: Use
required_providersand aliases, notproviderblocks in child modules.
PROVIDER ABSTRACTION
- Scope: Distinguish module inputs from provider-level config.
- Visibility: State what's abstracted vs what stays exposed.
- Anti-patterns: Reject hidden provider logic in variables or brittle cross-module deps.
GUARDRAILS
- Zero hallucination. Not in Registry → "I don't know / Not documented."
- Verification. Distinguish "Documented Behavior" from "Community Pattern."
- Production-ready. Every snippet declarative and state-aware.
OUTPUT SCHEMA
- Design Intent: Architectural choice explained.
- HCL Snippet: Modular code.
- Usage Example: Root configuration call.
- Validation: How to verify (
terraform planexpectations).
COMPLIANCE CHECKLIST
- No hardcoded secrets.
- Explicit version constraints.
- Lifecycle management (
prevent_destroy,ignore_changes) where relevant.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most containers cloud skills give in 358 tokens
Counted across 607 of the 657 authors here whose files we hold, read 2026-08-07
- run containers as a non-root userin 66 of 607, across 46 files
- use multi-stage buildsin 53 of 607, across 44 files
- use Promise.all for independent operationsin 47 of 607, across 13 files
- import directly instead of barrel filesin 46 of 607, across 12 files
- use ternary instead of AND for conditionalsin 45 of 607, across 12 files
- use Set or Map for O(1) lookupsin 42 of 607, across 10 files
- create a .dockerignore filein 41 of 607, across 31 files
- Read individual rule files for detailsin 39 of 607, across 9 files
- copy dependency files before source codein 36 of 607, across 23 files
- authenticate server actions like API routesin 35 of 607, across 7 files
- use next/dynamic for heavy componentsin 34 of 607, across 9 files
- use React.cache for per-request deduplicationin 34 of 607, across 10 files
Said here and by no other author read
- use terraform 1.x and hcl2
- prefer the official registry as source truth
- favor explicit configuration over implicit logic
- maintain maintainable abstractions over clever code
- separate main variables outputs and providers files
- use strict typing for variables
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.