creating-ec2-image-builder-pipeline

Creates a complete EC2 Image Builder pipeline that builds a custom AMI with pre-installed software, distributes it to target regions, executes the pipeline, and creates a launch template. Use when setting up automated AMI creation with IAM roles, build components, image recipes, and infrastructure configuration.

Quality

100%

Does it follow best practices?

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Securityby

Low

Low-risk findings worth noting

Quality

Content

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The SKILL.md body is a tight overview that delegates the full executable procedure to one real, one-level-deep reference file with clear navigation. That reference provides a well-sequenced, validation-anchored workflow and concrete troubleshooting, satisfying all four content dimensions.

Dimension	Reasoning	Score
Conciseness	The body is lean — a brief overview, a single procedure pointer, and compact troubleshooting entries — with no padding or explanation of concepts Claude already knows; every token earns its place.	3 / 3
Actionability	The clearly signaled reference file contains fully executable, copy-paste-ready AWS CLI commands and component YAML, while the body's troubleshooting entries give concrete fixes (exact ARN format, wait 10-15s); guidance is concrete rather than vague.	3 / 3
Workflow Clarity	The referenced procedure is a clear 11-step sequence with explicit per-step verification ('You MUST verify...'), feedback loops (report and confirm on failure), and mandatory checkpoints before proceeding — exactly the validation-anchored sequencing the top anchor rewards.	3 / 3
Progressive Disclosure	The body is a concise overview with a single, well-signaled one-level-deep reference (references/ec2-image-builder-pipeline.md) that exists as a real file, keeping detailed content appropriately split and easy to navigate.	3 / 3
	Total	12 / 12 Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific, third-person, and includes an explicit 'Use when' trigger tied to natural AWS terminology. It clearly answers both what the skill does and when to invoke it, with minimal risk of conflicting with other skills.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'builds a custom AMI with pre-installed software, distributes it to target regions, executes the pipeline, and creates a launch template' — matching the top anchor for specific concrete actions.	3 / 3
Completeness	Explicitly answers both what (the full build/distribute/execute/launch-template lifecycle) and when ('Use when setting up automated AMI creation with IAM roles, build components, image recipes, and infrastructure configuration.').	3 / 3
Trigger Term Quality	Includes natural AWS terms users would say — 'EC2 Image Builder pipeline', 'custom AMI', 'automated AMI creation', 'IAM roles, build components, image recipes' — giving good coverage of expected phrasing.	3 / 3
Distinctiveness Conflict Risk	The EC2 Image Builder niche with distinct AWS-specific triggers is unlikely to overlap with or conflict against other skills.	3 / 3
	Total	12 / 12 Passed

Validation

93%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: aws/agent-toolkit-for-aws
Path: skills/specialized-skills/ec2-skills/creating-ec2-image-builder-pipeline/SKILL.md
Commit: 222ce56

Reviewed: 3 days ago

Table of Contents

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