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bolt-serverless

Generate Terraform HCL and bootstrap-data.py for Serverless Elastic deployments.

1|Updated Apr 15, 2026
Search Tags:#dashboards#serverless#terraform#bootstrap#elasticsearch#inference
One-click install
npx skills add https://github.com/ajmeyers42/loom --skill bolt-serverless
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bolt-serverless
Source: https://github.com/ajmeyers42/loom/tree/main/skills/bolt-serverless
Command: npx skills add https://github.com/ajmeyers42/loom --skill bolt-serverless

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Serverless deployment variants streamline Elastic deployments by generating Terraform HCL and bootstrap-data.py for serverless projects, reducing manual scripting and setup time.

Core Features & Use Cases

  • Generates Terraform HCL for Serverless deployments compatible with Elastic's serverless patterns
  • Creates bootstrap-data.py to initialize data for serverless environments
  • Aligns with ELSER endpoints and serverless DSL conventions, dashboards, and ML configurations as documented

Quick Start

Run the serverless bootstrap workflow to generate Terraform HCL and bootstrap-data.py for a sample serverless deployment.

Frequently Asked Questions about bolt-serverless

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate Terraform HCL for a serverless Elastic deployment?▼

To generate Terraform HCL for a serverless Elastic deployment, run the serverless bootstrap workflow. It automatically outputs the infrastructure code and a bootstrap-data.py script to initialize your environment.

What serverless constraints are enforced during Elastic deployment configuration?▼

Serverless constraints enforced during Elastic deployment include no ILM usage, required ELSER endpoint usage, and specific serverless ML field naming to align configurations with documented serverless patterns.

Do I need a separate bootstrap-data.py script for serverless Elastic environments?▼

Yes, a separate bootstrap-data.py script is required for serverless Elastic environments. The workflow generates this script alongside Terraform HCL to properly initialize data while following serverless DSL conventions.

What is the difference between traditional and serverless Elastic deployment Terraform patterns?▼

Serverless Elastic deployment Terraform patterns differ by omitting ILM, requiring ELSER endpoint usage, and applying specific serverless ML field naming. The generated HCL strictly follows these documented serverless differences.

Can I use standard ML field naming when setting up a serverless Elastic deployment?▼

No, you cannot use standard ML field naming for a serverless Elastic deployment. The configuration process enforces specific serverless ML field naming conventions to ensure compatibility with the serverless environment.

How do I bootstrap dashboards and inference endpoints in an Elastic serverless project?▼

To bootstrap dashboards and inference endpoints in an Elastic serverless project, use the generated bootstrap-data.py script. It aligns with serverless patterns to correctly configure ELSER endpoints and dashboard assets.

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