grafana-dashboards

Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.

Quality

70%

Does it follow best practices?

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Securityby

Medium

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tessl review fix ./skills/grafana-dashboards/SKILL.md

Quality

Content

57%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 reference-rich skill body with strong executable JSON examples, but it reads as an inlined catalog rather than a guided workflow, and generic filler plus concepts Claude already knows inflate the token budget. Splitting detailed references into bundle files and replacing the generic Instructions with a concrete sequenced workflow would lift the weaker dimensions.

Suggestions

Replace the generic 'Instructions' section with a concrete sequenced dashboard-authoring workflow (define requirements -> choose panels -> build JSON -> provision -> validate in Grafana) with explicit validation checkpoints.

Move detailed panel-type JSON, provisioning configs, and Terraform/Ansible examples into reference files under ./references/ and link to them one level deep, keeping SKILL.md a lean overview.

Trim the RED/USE method explanations and other concepts Claude already knows, and remove the 'Do not use this skill when' filler in favor of sharper trigger guidance.

Dimension	Reasoning	Score
Conciseness	Mostly efficient with dense code blocks, but the generic 'Instructions' section ('Clarify goals...', 'Apply relevant best practices...') and the RED/USE method explanations restate concepts Claude already knows.	3 / 5
Actionability	Provides concrete, copy-paste-ready JSON for dashboards, panels, variables, alerts, and Terraform/Ansible provisioning, but the 'Common Dashboard Patterns' sections are bullet lists without executable examples.	4 / 5
Workflow Clarity	Content is organized as a reference catalog (principles, structure, panel types, variables, alerts, provisioning) rather than a sequenced dashboard-authoring workflow, and the 'Instructions' section offers only vague steps with no validation checkpoints.	3 / 5
Progressive Disclosure	Well-sectioned but all ~365 lines are inlined in SKILL.md with no bundle files; detailed panel JSON, provisioning configs, and dashboard-as-code examples that would benefit from separate reference files are kept inline.	3 / 5
	Total	13 / 20 Passed

Description

83%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 strong, third-person description that clearly states both capability and explicit trigger conditions with natural phrasing. Minor gains available from adding more trigger synonyms and sharpening distinctiveness against adjacent observability skills.

Suggestions

Add a few more natural trigger synonyms (e.g. 'Grafana alerts', 'dashboard provisioning', 'Prometheus queries in Grafana') to broaden keyword coverage.

Tighten distinctiveness by noting the boundary with prometheus-configuration (e.g. 'for dashboard authoring, not metric collection').

Dimension	Reasoning	Score
Specificity	Names the domain and several concrete actions ('Create and manage production Grafana dashboards for real-time visualization of system and application metrics'), but the action set is not exhaustive enough for a 5.	4 / 5
Completeness	Explicitly answers both 'what' (create and manage production Grafana dashboards for real-time visualization) and 'when' (Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces) with concrete trigger phrases.	5 / 5
Trigger Term Quality	Includes natural phrases users would say ('building monitoring dashboards', 'visualizing metrics', 'observability interfaces') with Grafana named, but misses some common synonyms/variations.	4 / 5
Distinctiveness Conflict Risk	Clear Grafana niche with distinct triggers, but 'visualizing metrics' and 'observability' could overlap with sibling monitoring skills like prometheus-configuration or slo-implementation.	4 / 5
	Total	17 / 20 Passed

Validation

100%

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: rmyndharis/antigravity-skills
Path: skills/grafana-dashboards/SKILL.md
Commit: 3eff4af

Reviewed: 1 day ago

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