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database-cloud-optimization-cost-optimize

Reduce cloud infrastructure costs on AWS, Azure, and GCP while maintaining performance and reliability, by analyzing spending, identifying savings opportunities, and implementing cost-effective architectures. Use when cloud spending needs to come down or a cost review is due.

Quality

71%

Does it follow best practices?

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SecuritybySnyk

Passed

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Fix and improve this skill with Tessl

tessl review fix ./skills/database-cloud-optimization-cost-optimize/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

52%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.

A clean, well-sectioned overview with genuine safety gates around destructive changes, but it functions as a thin shell: the playbook it depends on for detailed workflows is missing from the bundle, no platform-specific tools or commands are provided, and the intro/Context/Requirements sections restate the description instead of adding guidance.

Suggestions

Ship the referenced `resources/implementation-playbook.md` (or relocate it to a standard `references/` directory) — the file is cited twice in the body but does not exist in the bundle, breaking the skill's only detailed-content path.

Add concrete per-platform tooling and commands to the Instructions (e.g., AWS Cost Explorer / Cost and Usage Report, `aws ce get-cost-and-usage`, Azure Cost Management, GCP Billing reports) plus a savings-estimation method so each step is executable rather than a directive.

Cut redundancy: remove the intro sentence duplicating the frontmatter description, drop or merge the Context and Requirements sections ("Take the requirements, target, and scope from the user's request" is filler), and state the performance/reliability constraint once.

DimensionReasoningScore

Conciseness

The intro paragraph restates the frontmatter description nearly verbatim ("reducing infrastructure expenses while maintaining performance and reliability. Analyze cloud spending, identify savings opportunities..."), "performance and reliability" appears three times, and "Requirements: Take the requirements, target, and scope from the user's request" adds no information — mostly efficient but needs tightening. Not 4 because the redundancy exceeds minor over-explanation; not 2 because the bullets are tight and no background concepts Claude already knows are explained.

3 / 5

Actionability

Instructions like "Collect cost data by service, resource, and time window" and "Identify waste and quick wins with estimated savings" define concrete deliverables (estimated savings, risk assessment, rollback plan, budgets, alerts), but no commands, platform services, or examples appear anywhere. Not 4 because nothing is executable or tool-specific (no AWS Cost Explorer, `aws ce`, or Azure Cost Management); not 2 because each phase specifies a concrete artifact rather than offering only high-level hints.

3 / 5

Workflow Clarity

The four Instructions bullets form a clear sequence (collect, identify, propose with "risk assessment and rollback plan", then implement "budgets, alerts, and ongoing optimization cadence"), and the Safety section supplies explicit checkpoints for destructive operations: "Validate changes in staging before production rollout" and "Ensure backups and rollback paths before resizing or deletion". Not 5 because the checkpoints live in a separate section rather than inline in the sequence and there is no error-recovery loop or post-change savings verification; not 3 because validation for the destructive resizing/deletion steps is explicitly present, so the missing-validation cap does not apply.

4 / 5

Progressive Disclosure

The body signals its single detail reference twice ("If detailed workflows are required, open `resources/implementation-playbook.md`" and the Resources entry), but no such file exists in the bundle — there are no resources/, references/, scripts/, or assets/ directories at all — so the only path to the detailed content is a dead end. Not 3 because a clearly signaled but nonexistent reference is a worse structural failure than imperfect organization; not 1 because the body itself is well-sectioned and the reference is one level deep rather than nested.

2 / 5

Total

12

/

20

Passed

Description

75%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.

A solid description that clearly answers both what the skill does and when to use it, in third person, with natural trigger phrases and named platforms. Its main gaps are moderately abstract action phrasing ("cost-effective architectures") and a thinner set of trigger synonyms than the top-anchor examples.

Suggestions

Replace abstract phrasing like "implementing cost-effective architectures" with concrete techniques (rightsizing instances, reserved/savings plans, storage tiering, removing idle resources) to sharpen the what.

Broaden trigger coverage with natural synonyms users actually say, such as "FinOps", "cloud bill", "billing review", or "optimize cloud spend".

Expand the "Use when" clause with a few more concrete triggers, e.g., "when the user asks to reduce AWS/Azure/GCP spend, rightsize instances, or audit idle resources".

DimensionReasoningScore

Specificity

"analyzing spending, identifying savings opportunities, and implementing cost-effective architectures" names several actions with an explicit domain ("cloud infrastructure costs on AWS, Azure, and GCP"), matching "lists several specific actions; minor gaps". Not 3 because it goes beyond 1-2 actions with platform specificity; not 5 because "implementing cost-effective architectures" is abstract and concrete techniques (rightsizing, reserved/savings plans, storage tiering) are absent.

4 / 5

Completeness

A clear 'what' ("Reduce cloud infrastructure costs... by analyzing spending, identifying savings opportunities, and implementing cost-effective architectures") is paired with an explicit trigger clause: "Use when cloud spending needs to come down or a cost review is due". Not 5 because the trigger list is thinner and less concrete than the anchor's multi-phrase examples (no mention of rightsizing, waste review, or billing); not 3 because the 'when' is explicit, not merely implied.

4 / 5

Trigger Term Quality

Natural phrases a user would say are present — "cloud spending needs to come down", "cost review", "savings", plus the platform names AWS, Azure, and GCP — giving good keyword coverage. Not 5 because common variations and synonyms like "FinOps", "cloud bill", "billing", or "optimize spend" are missing; not 3 because coverage clearly exceeds a few sparse keywords.

4 / 5

Distinctiveness Conflict Risk

The cost-reduction niche is well framed with platform names and explicit "Use when" triggers, making it mostly distinct from unrelated skills. Not 5 because it could still overlap with closely related skills like general cloud architecture, infrastructure provisioning, or FinOps tooling; not 3 because the domain and triggers are considerably more specific than broadly-generic descriptions.

4 / 5

Total

16

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

rmyndharis/antigravity-skills

Path

skills/database-cloud-optimization-cost-optimize/SKILL.md

Reviewed

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