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cx-dashboards

Build and deploy a Coralogix dashboard for a given service from its logs, spans, metrics, and service specs. Discovers telemetry via cx CLI commands, emits importable Coralogix JSON, verifies every PromQL and DataPrime query live through the `cx` CLI, and creates or updates dashboards via `cx dashboards create` and `cx dashboards replace`. Use whenever the user asks to create, build, generate, deploy, update, replace, or modify a Coralogix dashboard, monitoring dashboard, or observability dashboard for a service, app, or pipeline.

76

Quality

96%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

92%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 well-engineered workflow skill: fully executable CLI guidance, a 9-phase sequence with three independent validation gates and explicit failure-recovery loops, and clean one-level-deep offloading to real reference files. The only weakness is mild: a few justificatory sentences and a duplicated reference listing could be trimmed for token efficiency.

DimensionReasoningScore

Conciseness

The body is dense and nearly every line is operational ("Only use metric names, log fields, and span attributes you can cite… Do not invent them"), but there are minor instances of trimmable rationale ("Printing the ID alone forces the user to navigate the Coralogix UI by hand, which defeats the point…", "This catches invented metric names, typoed field paths, and malformed pipelines") and the reference files are listed twice — once in the task table and again in the bottom References section. No padding of concepts Claude already knows.

4 / 5

Actionability

Copy-paste-ready commands throughout: `cx dashboards get <dashboard-id> -o json > dashboard.json`, `cx dashboards check --from-file /tmp/cx-dashboard-<slug>.json`, concrete metric/log/span discovery commands, the exact top-level JSON shape, the Phase 3 plan template, and two full output templates. Specific examples cover the common cases.

5 / 5

Workflow Clarity

A 9-phase ordered checklist with explicit gating ("Don't jump to Phase 4 before the user approves the Phase 3 plan, and don't run Phase 8 before Phases 5–7 all pass"), three distinct validation layers (Phase 5 live query verification, Phase 6 self-check checklist, Phase 7 server-side `cx dashboards check`), and explicit error-recovery feedback loops ("loop back to Phase 4", "return to Phase 5"). This matches the top anchor closely.

5 / 5

Progressive Disclosure

The body is an operational overview that defers language details and templates to eight one-level-deep reference files, all of which exist on disk with substantive content. Navigation is well signaled both ways — a task→file table near the top ("Load these files for domain-specific guidance") and a References section at the bottom, plus inline links at each point of use.

5 / 5

Total

19

/

20

Passed

Description

100%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 model description: concrete actions with exact CLI commands, an explicit 'Use whenever…' trigger clause with comprehensive synonyms, and a distinct Coralogix-dashboard niche. Third-person voice throughout and no fluff.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions — "Discovers telemetry via cx CLI commands", "emits importable Coralogix JSON", "verifies every PromQL and DataPrime query live through the `cx` CLI", "creates or updates dashboards via `cx dashboards create` and `cx dashboards replace`" — naming the exact commands involved. Coverage is comprehensive across discovery, generation, verification, and deployment.

5 / 5

Completeness

It explicitly answers both questions: what ("Build and deploy a Coralogix dashboard… from its logs, spans, metrics, and service specs") and when ("Use whenever the user asks to create, build, generate, deploy, update, replace, or modify…"). The when-clause uses concrete trigger phrases, matching the 5 anchor.

5 / 5

Trigger Term Quality

"Use whenever the user asks to create, build, generate, deploy, update, replace, or modify a Coralogix dashboard, monitoring dashboard, or observability dashboard for a service, app, or pipeline" covers the full verb and noun synonym space (monitoring/observability dashboard; service/app/pipeline). There are no natural user phrasings obviously missing.

5 / 5

Distinctiveness Conflict Risk

"Coralogix dashboard" carves out a clear niche with product-specific triggers; it is distinguishable from adjacent cx skills (observability setup, SLOs, telemetry querying) because the triggers all concern dashboards specifically. Conflict risk is minimal.

5 / 5

Total

20

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 2 missing

Warning

Total

15

/

16

Passed

Repository
coralogix/cx-cli
Reviewed

Table of Contents

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