pipeline-monitoring-setup
Pipeline Monitoring Setup - Auto-activating skill for Data Pipelines. Triggers on: pipeline monitoring setup, pipeline monitoring setup Part of the Data Pipelines skill category.
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill pipeline-monitoring-setupOverall
score
19%
Does it follow best practices?
Validation for skill structure
Activation
7%This description is essentially a placeholder that provides almost no useful information for skill selection. It lacks concrete actions, meaningful trigger terms, and explicit guidance on when to use it. The redundant trigger terms and boilerplate category mention add no value.
Suggestions
Add specific actions the skill performs, e.g., 'Configure alerting rules, set up health dashboards, define SLAs, and create notification channels for data pipeline failures'
Include a 'Use when...' clause with natural trigger terms like 'monitor pipeline', 'pipeline alerts', 'data quality checks', 'pipeline failures', 'observability', or 'pipeline health'
Remove the redundant trigger term and expand with variations users would naturally say when needing this skill
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description only states 'Pipeline Monitoring Setup' without describing any concrete actions. There are no specific capabilities listed like 'configure alerts', 'set up dashboards', or 'define metrics'. | 1 / 3 |
Completeness | The description fails to answer 'what does this do' beyond the title, and the 'when' clause is just a repetition of the skill name rather than meaningful trigger guidance. No explicit 'Use when...' clause is present. | 1 / 3 |
Trigger Term Quality | The trigger terms are redundant ('pipeline monitoring setup' listed twice) and lack natural variations users might say like 'monitor my pipeline', 'pipeline alerts', 'data pipeline health', or 'observability'. | 1 / 3 |
Distinctiveness Conflict Risk | While 'pipeline monitoring' is somewhat specific to data engineering, the lack of detail means it could overlap with general monitoring skills, observability tools, or other data pipeline skills without clear differentiation. | 2 / 3 |
Total | 5 / 12 Passed |
Implementation
0%This skill content is an empty template that provides no actual guidance for pipeline monitoring setup. It consists entirely of meta-descriptions about what the skill claims to do without any concrete instructions, code examples, or actionable content. The skill would need to be completely rewritten with actual monitoring setup procedures.
Suggestions
Add concrete code examples for setting up monitoring (e.g., Prometheus metrics, Airflow alerting, Spark monitoring configurations)
Define a clear workflow with specific steps: what to monitor, how to configure alerts, how to validate the monitoring is working
Include specific tool configurations (e.g., Grafana dashboards, CloudWatch alarms, Datadog integrations) with executable examples
Replace generic capability claims with actual implementation patterns and copy-paste ready configurations
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is padded with generic boilerplate that provides no actual value. Phrases like 'provides automated assistance' and 'follows industry best practices' are vague filler that Claude doesn't need. | 1 / 3 |
Actionability | There is zero concrete guidance - no code, no commands, no specific steps, no examples of actual monitoring setup. The content only describes what the skill claims to do without showing how to do anything. | 1 / 3 |
Workflow Clarity | No workflow is defined at all. Despite claiming to provide 'step-by-step guidance,' there are no actual steps, sequences, or validation checkpoints for setting up pipeline monitoring. | 1 / 3 |
Progressive Disclosure | The content is a shallow placeholder with no meaningful structure. There are no references to detailed documentation, no links to examples, and no organized sections with actual content. | 1 / 3 |
Total | 4 / 12 Passed |
Validation
69%Validation — 11 / 16 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
description_trigger_hint | Description may be missing an explicit 'when to use' trigger hint (e.g., 'Use when...') | Warning |
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
metadata_version | 'metadata' field is not a dictionary | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
body_steps | No step-by-step structure detected (no ordered list); consider adding a simple workflow | Warning |
Total | 11 / 16 Passed | |
Reviewed
Table of Contents
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