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.
Install with Tessl CLI
npx tessl i github:Dicklesworthstone/pi_agent_rust --skill grafana-dashboards85
Quality
81%
Does it follow best practices?
Impact
86%
1.17xAverage score across 3 eval scenarios
Discovery
89%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 is a solid skill description with explicit 'Use when' guidance and good trigger term coverage. The main weakness is that the capability description could be more specific about concrete actions beyond 'create and manage'. The Grafana-specific focus provides excellent distinctiveness.
Suggestions
Expand specificity by listing concrete actions like 'configure panels, set up alerting rules, create template variables, define PromQL/LogQL queries'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Grafana dashboards) and mentions some actions ('create and manage', 'real-time visualization'), but lacks comprehensive specific actions like 'configure panels', 'set up alerts', 'create variables', or 'define queries'. | 2 / 3 |
Completeness | Clearly 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 explicit trigger guidance. | 3 / 3 |
Trigger Term Quality | Good coverage of natural terms users would say: 'Grafana', 'dashboards', 'monitoring', 'metrics', 'visualization', 'observability'. These are terms users naturally use when requesting this type of work. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche with 'Grafana' as a distinct identifier. Unlikely to conflict with generic monitoring or visualization skills due to the specific tool mention and domain focus on production dashboards. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a solid reference skill with excellent actionable JSON examples and good progressive disclosure through external file references. The main weaknesses are some unnecessary explanatory content that inflates token count and a lack of explicit step-by-step workflow with validation checkpoints for dashboard creation and deployment.
Suggestions
Remove or condense the 'Purpose' and 'When to Use' sections - Claude can infer these from context
Add an explicit workflow section with numbered steps for creating a dashboard from scratch, including validation steps (e.g., 'Validate JSON syntax before import', 'Test with sample data')
Consider moving the RED/USE method explanations to a reference file since these are standard observability patterns Claude likely knows
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is reasonably efficient but includes some unnecessary explanatory content like the 'Purpose' and 'When to Use' sections that Claude doesn't need. The RED/USE method explanations are borderline - useful context but Claude likely knows these patterns. | 2 / 3 |
Actionability | Excellent executable JSON examples for all panel types, complete with PromQL queries, grid positioning, and alert configurations. The Terraform and Ansible provisioning examples are copy-paste ready. | 3 / 3 |
Workflow Clarity | The skill provides good structural guidance (hierarchy of information, panel types) but lacks explicit workflow steps for creating a dashboard from scratch. No validation checkpoints for verifying dashboard JSON syntax or testing before deployment. | 2 / 3 |
Progressive Disclosure | Well-organized with clear sections, references to external JSON files (assets/api-dashboard.json, etc.), and links to related skills. Content is appropriately split between overview and detailed references. | 3 / 3 |
Total | 10 / 12 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 — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
Table of Contents
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