configuring-auto-scaling-policies

Configure use when you need to work with auto-scaling. This skill provides auto-scaling configuration with comprehensive guidance and automation. Trigger with phrases like "configure auto-scaling", "set up elastic scaling", or "implement scaling".

Quality

37%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./plugins/devops/auto-scaling-configurator/skills/configuring-auto-scaling-policies/SKILL.md

Quality

Discovery

40%

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

This description is weak overall. While it attempts to provide trigger phrases and a 'use when' clause, the actual capabilities described are extremely vague—'comprehensive guidance and automation' is meaningless fluff. The description fails to specify what platform, what concrete actions are performed, or what outputs are produced, making it difficult for Claude to confidently select this skill over others.

Suggestions

Replace 'comprehensive guidance and automation' with specific concrete actions, e.g., 'Defines scaling policies, sets min/max instance counts, configures scaling triggers based on CPU/memory metrics, and generates infrastructure-as-code templates.'

Specify the target platform or technology (e.g., AWS Auto Scaling Groups, Kubernetes HPA, Azure VMSS) to improve distinctiveness and reduce conflict risk.

Expand trigger terms to include natural user phrases like 'scale up', 'scale down', 'horizontal scaling', 'scaling policy', 'ASG', and platform-specific terminology.

Dimension	Reasoning	Score
Specificity	The description says 'auto-scaling configuration with comprehensive guidance and automation' but never lists concrete actions like 'define scaling policies', 'set min/max instance counts', or 'configure CloudWatch alarms'. The language is vague and abstract.	1 / 3
Completeness	It has a weak 'what' (auto-scaling configuration) and an explicit 'when' clause ('Configure use when you need to work with auto-scaling'), but the 'what' is too vague to be truly useful. The 'when' trigger guidance exists but is shallow.	2 / 3
Trigger Term Quality	It includes some relevant trigger phrases like 'configure auto-scaling', 'set up elastic scaling', and 'implement scaling', but misses common variations users might say such as 'scale up/down', 'horizontal scaling', 'ASG', 'auto scale group', or platform-specific terms like 'AWS Auto Scaling' or 'VMSS'.	2 / 3
Distinctiveness Conflict Risk	Auto-scaling is a somewhat specific domain, but the description is broad enough that it could overlap with general infrastructure/DevOps skills, cloud configuration skills, or Kubernetes scaling skills. No platform or technology is specified to narrow the niche.	2 / 3
	Total	7 / 12 Passed

Implementation

35%

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

This skill reads more like a high-level checklist or planning document than an actionable skill for Claude. It covers four cloud providers but provides no executable code, Terraform snippets, YAML manifests, or CLI commands for any of them. The error handling table is a useful addition, but the lack of concrete, copy-paste-ready examples severely undermines the skill's utility.

Suggestions

Add at least one complete, executable example per provider (e.g., a full Terraform HCL block for AWS ASG target tracking, a complete HPA YAML manifest for Kubernetes) instead of just listing what the output should be.

Replace the abstract 'Examples' section (which lists prompts) with actual input/output pairs showing the generated configuration for each example scenario.

Add concrete validation commands at step 9, such as `aws autoscaling describe-scaling-activities --auto-scaling-group-name <name>` or `kubectl describe hpa <name>`, and include a feedback loop for fixing issues.

Consider splitting provider-specific guidance into separate bundle files (e.g., AWS_ASG.md, K8S_HPA.md) and referencing them from the main skill to manage scope and improve progressive disclosure.

Dimension	Reasoning	Score
Conciseness	The content is reasonably structured but includes some unnecessary verbosity. The prerequisites section explains things Claude would know (e.g., 'Understanding of traffic patterns'), and the overview restates what the title already conveys. The instructions are somewhat generic and could be tighter.	2 / 3
Actionability	Despite covering four cloud providers, the skill provides zero executable code, no Terraform snippets, no YAML manifests, no CLI commands. The instructions are entirely abstract ('Analyze current workload metrics', 'Generate the scaling policy configuration') with no concrete, copy-paste-ready examples. The 'Examples' section lists prompts, not actual outputs.	1 / 3
Workflow Clarity	Steps are listed in a logical sequence and step 9 mentions validation via load simulation, but there are no explicit validation checkpoints between steps, no feedback loops for error recovery during configuration, and the validation step is vague ('simulating load and confirming scaling events fire correctly') without concrete commands.	2 / 3
Progressive Disclosure	The content is organized into clear sections (Overview, Prerequisites, Instructions, Output, Error Handling, Examples, Resources), which is decent structure. However, with no bundle files, the detailed configurations for each of the four cloud providers should ideally be split into separate reference files rather than being promised but never delivered inline.	2 / 3
	Total	7 / 12 Passed

Validation

81%

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 — 9 / 11 Passed

Validation for skill structure

Criteria	Description	Result
allowed_tools_field	'allowed-tools' contains unusual tool name(s)	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	9 / 11 Passed

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: 3a2d27d

Reviewed: 1 day ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.