terraform-infrastructure-as-code

DevOps Community v1.0.0
Fluxly profile Facts only: domain, agents, trust score, runtime, permissions and network
Domain
DevOps · terraform · infrastructure-as-code · cloud
Compatible agents
  • Claude Code
  • Cursor
  • Cline
  • Codex
  • Windsurf
  • Gemini CLI
  • +20
Trust score
89 / 100 · community maintained
Author / version / license
@manutej · v1.0.0 · no license declared
Token usage
Moderate
Setup complexity
Manual integration
External API key
Required · AWS
Operating systems
Linux
Runtime requirements
No special requirements
Permissions
  • Read-only
  • Write / modify
  • Shell exec
  • Env read
Network behavior
External requests
Install commands
26 variants

Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.

Heads up: allowed-tools 包含 10 项,权限面较宽。; 检出高风险片段:inline_aws_key

Output preview terraform-infrastructure-as-code.preview
---
name: terraform-infrastructure-as-code
description: Comprehensive Terraform Infrastructure as Code skill covering resources, modules, state manageme…
category: devops
runtime: no special runtime
---

# terraform-infrastructure-as-code output preview

## PART A: Task fit
- Use case: Comprehensive Terraform Infrastructure as Code skill covering resources, modules, state management, workspaces, providers, and advanced patterns for cloud-agnostic infrastructure deployment Terraform is an open-source Infrastructure as Code (IaC) tool created by HashiCorp that enables you to define and provision infrastructure using a declarative configur….
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Table of Contents / Introduction to Terraform / Key Benefits” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Comprehensive Terraform Infrastructure as Code skill covering resources, modules, state management, workspaces, providers, and advanced patterns for cloud-agnostic infrastructure deployment Terraform is an open-source Infrastructure as Code (IaC) tool created by HashiCorp that enables you to define and provision infrastructure using a declarative configur…”.
- **02** When the source has headings, the agent prioritizes “Table of Contents / Introduction to Terraform / Key Benefits” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, run shell commands, read environment variables; may access external network resources; requires AWS API keys.

## Running Rules
- read files, write/modify files, run shell commands, read environment variables; may access external network resources; requires AWS API keys.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options.
Interpretation is structured for decision-making; original keeps the upstream SKILL.md unchanged.

Decide Fit First

  • Core job: Comprehensive Terraform Infrastructure as Code skill covering resources, modules, state management, workspaces, providers, and a…
  • Best fit: Use it when the task has reusable inputs, steps, and validation criteria rather than a one-off answer.
  • Avoid forcing it: If the source lacks commands, platform support, or external-service evidence, keep those fields unknown instead of guessing.

Design Intent

  • Structure: The skill is organized around “Table of Contents”, “Introduction to Terraform”, “Key Benefits”, “Terraform Workflow”, showing how the author expects the agent to judge fit, collect context, and produce verifiable output.
  • Trigger evidence: Prioritize the author’s wording around when to use it, what context to collect, and what output shape to produce.
  • Evidence boundary: Author text states facts, repository files prove commands and paths, and Fluxly only adds fit, limits, and usage judgment.

How To Use It

  • Inputs: Provide target material, scope, expected result, forbidden changes, and validation method.
  • Invocation: Name terraform-infrastructure-as-code directly; if the source includes slash commands, start with the command and then add task context.
  • Validation: Start small and check whether the result follows “Table of Contents / Introduction to Terraform / Key Benefits” before expanding.

Boundaries And Review

  • Dependencies: Prepare AWS API keys before running a full task.
  • Permissions: Declared permissions include read / write / shell-exec / env-read; ask the agent to state file, command, and rollback boundaries before acting.
  • Quality bar: A useful result names the deliverable, evidence, and next action. Generic prose means the task needs tighter context.

Discussion

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