CtrlK
BlogDocsLog inGet started
Tessl Logo

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".

40

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

42%

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

The body is well-sectioned, lean, and free of concept-tutoring, with a clear step sequence and a useful error-handling table. Its main weakness is that the provided bundle of example configs and a generator script is completely unintegrated — never referenced from the body — leaving the guidance concrete in parameters but lacking executable config and clean file-level navigation.

Suggestions

Surface the bundle from the body: add an Examples section linking assets/example_hpa.yaml and assets/example_aws_scaling_policy.json, and reference scripts/generate_config.py (and assets/config_template.yaml) so the orphaned files become discoverable.

Add at least one copy-paste-ready config snippet inline (e.g. a minimal HPA YAML or AWS target-tracking policy) to lift actionability toward anchor 3.

Make the validation checkpoint concrete by naming the command (e.g. 'kubectl describe hpa' / 'aws describe-scaling-activities') in step 9, and reconcile scripts/README.md by removing the validate_config.py and deploy_config.sh entries that do not exist.

DimensionReasoningScore

Conciseness

The body is reasonably lean and does not tutor Claude on what auto-scaling is, fitting 'mostly efficient'. It does not reach anchor 3 because the Output section restates the formats already named in instruction step 8 and the multi-provider breadth (four clouds) is kept inline rather than delegated, so some tokens could be tightened or offloaded.

2 / 3

Actionability

Instructions give concrete parameters (CPU > 70% / < 30%, 300s/600s cooldowns, named metrics) but the body contains no executable config — no Terraform HCL, HPA YAML, or CLI commands — and step 8 only says to 'generate the configuration' without showing how. That is 'some concrete guidance but incomplete; missing key details', not the copy-paste-ready anchor 3, especially since the real example configs in assets/ are never surfaced.

2 / 3

Workflow Clarity

The 9-step instruction list is a clear sequence and a validation step exists (step 9: 'Validate by simulating load and confirming scaling events fire correctly'), with an error-handling table providing recovery guidance. But the validation checkpoint is abstract ('simulating load') with no concrete validation command woven into the flow, so checkpoints are implicit rather than the explicit, command-backed checkpoints of anchor 3.

2 / 3

Progressive Disclosure

A real bundle exists (assets/example_hpa.yaml, assets/example_aws_scaling_policy.json, assets/config_template.yaml, scripts/generate_config.py) but the body references none of it — no links, no 'See ...' pointers — so the example configs and generator are entirely orphaned, and scripts/README.md lists validate_config.py and deploy_config.sh that do not exist. Per the rubric's bundle-scoring guideline this is poor navigation/discovery, worse than the 'references present but not clearly signaled' anchor 2.

1 / 3

Total

7

/

12

Passed

Description

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.

The description surfaces an explicit trigger clause and a recognizable domain, but its 'what' clause is malformed, padded with buzzwords, and written in second person, capping its quality at the middle band across all dimensions.

Suggestions

Rewrite the opening as a clean third-person 'what' clause, e.g. 'Configure auto-scaling policies for AWS ASGs, GCP MIGs, Azure VMSS, and Kubernetes HPA across CPU, memory, and custom metrics', and drop the 'comprehensive guidance and automation' fluff.

Remove second-person voice ('you need to work with') to avoid the specificity penalty; use 'Use when ...' as an explicit trigger clause instead.

Broaden trigger terms with common variations a user would actually say, e.g. 'auto scale', 'autoscaling', 'scale out', 'add capacity', and 'HPA'.

DimensionReasoningScore

Specificity

The only concrete action named is 'Configure ... auto-scaling configuration'; the rest is padded with the buzzword clause 'comprehensive guidance and automation', so it names the domain and one action but is not comprehensive (anchor 2 base). The second-person phrasing 'when you need to work with auto-scaling' triggers the rubric's voice penalty, reducing specificity by 1 to 1.

1 / 3

Completeness

Both a 'what' ('Configure ... auto-scaling configuration') and an explicit 'when' ('use when you need to work with auto-scaling' plus 'Trigger with phrases like ...') are present, so it is not missing the trigger. However the 'what' is not clearly answered — the opening 'Configure use when you need to work with auto-scaling' is grammatically garbled and padded — so it does not reach the 'clearly answers both' bar of anchor 3 and sits at 2.

2 / 3

Trigger Term Quality

It offers relevant natural phrases ('configure auto-scaling', 'set up elastic scaling', 'implement scaling'), but coverage is thin (three phrases, with 'implement scaling' overly generic) and misses common variations like 'auto scale', 'autoscaling', 'scale out', or 'HPA', fitting 'some relevant keywords but missing common variations' rather than the full-coverage anchor 3.

2 / 3

Distinctiveness Conflict Risk

Auto-scaling configuration is a recognizable niche with distinct-ish triggers, but the broad framing ('work with auto-scaling', 'comprehensive guidance and automation') and the generic trigger 'implement scaling' could overlap with general cloud/infra skills, fitting 'somewhat specific but could still overlap' rather than the clearly-distinct anchor 3.

2 / 3

Total

7

/

12

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

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

14

/

16

Passed

Repository
jeremylongshore/claude-code-plugins-plus-skills
Reviewed

Table of Contents

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.