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aws-cloudformation-bedrock

Provides AWS CloudFormation patterns for Amazon Bedrock resources including agents, knowledge bases, data sources, guardrails, prompts, flows, and inference profiles. Use when creating Bedrock agents with action groups, implementing RAG with knowledge bases, configuring vector stores, setting up content moderation guardrails, managing prompts, orchestrating workflows with flows, and configuring inference profiles for model optimization.

Quality

81%

Does it follow best practices?

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Securityby

Low

Low-risk findings worth noting

The canonical home for this skill is giuseppe-trisciuoglio/developer-kit

Quality

Content

65%Weight 40%Scale 1-5

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

The content is highly actionable with complete CloudFormation templates, but it is over-long and duplicates material that already lives in the reference bundle files. The stated workflow lacks the validation/feedback loops expected for destructive infra deployments.

Suggestions

Trim the body by moving the large full templates into references/examples.md and keeping only one compact representative snippet per resource type inline, with links to the rest.

Add explicit validation checkpoints to the Instructions workflow (e.g., 'aws cloudformation validate-template' / drift detection after deploy, with a fix-and-retry loop) so destructive deployments are guarded.

De-duplicate the repeated Bedrock agent IAM role policy blocks by referencing a single shared snippet or extracting the role pattern to reference.md.

Dimension	Reasoning	Score
Conciseness	The body avoids explaining concepts Claude already knows and is grounded in concrete code, but at ~1374 lines it duplicates material — the agent IAM role block and several near-complete templates recur — that could be tightened or de-duplicated.	3 / 5
Actionability	Provides numerous complete, copy-paste-ready CloudFormation YAML templates with real Bedrock resource types, intrinsic functions, and properties covering the common cases (agents, knowledge bases, guardrails, flows, inference profiles).	5 / 5
Workflow Clarity	The Instructions section lists eight sequenced steps, but there are no validation checkpoints or validate-fix-retry feedback loops; since CloudFormation deployments are destructive/batch infra operations, workflow clarity is capped at 3 per the rubric.	3 / 5
Progressive Disclosure	Bundle files references/examples.md and references/reference.md exist and are clearly signaled one level deep, but the body inlines many full templates that overlap with examples.md, so content that should live in the separate file is inline.	3 / 5
	Total	14 / 20 Passed

Description

92%Weight 40%Scale 1-5

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, complete, and distinct: it names the domain and many concrete capabilities, and pairs an explicit 'what' with an explicit 'when' trigger clause. Trigger-term coverage is strong though a few natural phrasings could be added.

Dimension	Reasoning	Score
Specificity	Lists multiple specific concrete actions — 'creating Bedrock agents with action groups', 'implementing RAG with knowledge bases', 'configuring vector stores', 'setting up content moderation guardrails', 'managing prompts', 'orchestrating workflows with flows', 'configuring inference profiles' — giving comprehensive coverage of the skill's capabilities.	5 / 5
Completeness	Explicitly answers both 'what' ('Provides AWS CloudFormation patterns for Amazon Bedrock resources including agents, knowledge bases, data sources, guardrails, prompts, flows, and inference profiles') and 'when' ('Use when creating Bedrock agents with action groups...') with concrete trigger phrases.	5 / 5
Trigger Term Quality	Strong natural keyword coverage ('Bedrock agents', 'action groups', 'RAG', 'knowledge bases', 'vector stores', 'guardrails', 'flows', 'inference profiles') including the RAG synonym, but a few natural variations a user might say are not present.	4 / 5
Distinctiveness Conflict Risk	Occupies a clear niche (CloudFormation patterns for Amazon Bedrock resources) with distinct Bedrock-specific triggers and minimal overlap risk with other skills.	5 / 5
	Total	19 / 20 Passed

Validation

87%

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 — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
skill_md_line_count	SKILL.md is long (1375 lines); consider splitting into references/ and linking	Warning
allowed_tools_field	'allowed-tools' contains unusual tool name(s)	Warning

	Total	14 / 16 Passed

Repository: fernandezbaptiste/developer-kit
Path: plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-bedrock/SKILL.md
Revision: 810297c

Reviewed: 24 days ago

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aws-cloudformation-bedrock

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