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ideogram-observability

Set up comprehensive observability for Ideogram integrations with metrics, traces, and alerts. Use when implementing monitoring for Ideogram operations, setting up dashboards, or configuring alerting for Ideogram integration health. Trigger with phrases like "ideogram monitoring", "ideogram metrics", "ideogram observability", "monitor ideogram", "ideogram alerts", "ideogram tracing".

Install with Tessl CLI

npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill ideogram-observability
What are skills?

84

1.36x

Quality

77%

Does it follow best practices?

Impact

100%

1.36x

Average score across 3 eval scenarios

Optimize this skill with Tessl

npx tessl skill review --optimize ./plugins/saas-packs/ideogram-pack/skills/ideogram-observability/SKILL.md
SKILL.md
Review
Evals

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 well-structured skill description with excellent trigger term coverage and clear completeness. The main weakness is that the capabilities could be more specific about concrete actions (e.g., which monitoring tools, what types of dashboards). The Ideogram-specific focus provides strong distinctiveness.

Suggestions

Add more specific concrete actions like 'configure Prometheus metrics', 'create Grafana dashboards', or 'set up PagerDuty alerts' to improve specificity

DimensionReasoningScore

Specificity

Names the domain (Ideogram observability) and mentions some actions (metrics, traces, alerts, dashboards), but doesn't list specific concrete actions like 'configure Prometheus exporters' or 'create Grafana dashboards'. The actions remain somewhat high-level.

2 / 3

Completeness

Clearly answers both what (set up observability with metrics, traces, alerts) and when (implementing monitoring, setting up dashboards, configuring alerting). Includes explicit 'Use when' clause and 'Trigger with phrases' section.

3 / 3

Trigger Term Quality

Excellent coverage of natural trigger terms including 'ideogram monitoring', 'ideogram metrics', 'ideogram observability', 'monitor ideogram', 'ideogram alerts', 'ideogram tracing'. These are terms users would naturally say when needing this functionality.

3 / 3

Distinctiveness Conflict Risk

Very specific niche combining 'Ideogram' with 'observability/monitoring'. The repeated Ideogram-specific trigger terms make it highly unlikely to conflict with generic monitoring skills or other integration skills.

3 / 3

Total

11

/

12

Passed

Implementation

64%

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

This skill provides solid, actionable code examples for implementing Ideogram observability with Prometheus, OpenTelemetry, and structured logging. However, it's somewhat verbose for a skill file, includes unnecessary prerequisite explanations, and lacks validation checkpoints in the workflow to verify each observability component is working correctly.

Suggestions

Add explicit validation steps after each implementation phase (e.g., 'Verify: curl /metrics | grep ideogram_requests_total')

Move the detailed AlertManager YAML and Grafana JSON configurations to separate reference files, keeping only a minimal example inline

Remove the Prerequisites section - Claude knows what these tools are; instead, just reference them in context where needed

DimensionReasoningScore

Conciseness

The skill is mostly efficient with good code examples, but includes some unnecessary elements like the prerequisites section (Claude knows what Prometheus and Grafana are) and the verbose table format for error handling that could be more compact.

2 / 3

Actionability

Provides fully executable TypeScript code for metrics, tracing, and logging. The Prometheus alert rules and Grafana panel queries are copy-paste ready with specific metric names and thresholds.

3 / 3

Workflow Clarity

Steps are listed at the end but lack validation checkpoints. For an observability setup, there should be explicit verification steps (e.g., 'verify metrics appear in Prometheus', 'confirm traces are visible in Jaeger') between implementation steps.

2 / 3

Progressive Disclosure

Content is reasonably organized with clear sections, but the skill is quite long (~200 lines) and could benefit from splitting detailed configurations (alert rules, dashboard JSON) into separate reference files. The reference to 'ideogram-incident-runbook' at the end is good but comes late.

2 / 3

Total

9

/

12

Passed

Validation

81%

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

Validation9 / 11 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

9

/

11

Passed

Reviewed

Table of Contents

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