Infrastructure as code implementation across AWS, Azure, and GCP with modular design and state management.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add jeffallan/claude-skills --skill terraform-engineerCompatible with
Supported agents
Covers module development, state backend configuration with locking and encryption, provider setup, and multi-environment workflows
Enforces validation, semantic versioning, and security constraints; includes error recovery patterns for state drift, auth failures, and dependency issues
Provides structured workflows: analyze requirements, design composable modules, configure remo
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionterraform-engineerExecute the skills CLI command in your project's root directory to begin installation:
epx add jeffallan/claude-skills --skill terraform-engineerFetches terraform-engineer from jeffallan/claude-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/terraform-engineer
Restart Cursor to activate terraform-engineer. Access via /terraform-engineerin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
spark-engineer
jeffallan/claude-skills · Productivity · same repo
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jeffallan/claude-skills · Productivity · same repo
prompt-engineer
jeffallan/claude-skills · Productivity · same repo
flutter-expert
jeffallan/claude-skills · Productivity · same repo
vue-expert
jeffallan/claude-skills · Frontend · same repo
wordpress-pro
jeffallan/claude-skills · Productivity · same repo
terraform-engineer reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend terraform-engineer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in terraform-engineer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for terraform-engineer matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in terraform-engineer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend terraform-engineer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
terraform-engineer reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for terraform-engineer matched our evaluation — installs cleanly and behaves as described in the markdown.
terraform-engineer reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend terraform-engineer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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