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monitoring-database-transactions

Monitor use when you need to work with monitoring and observability. This skill provides health monitoring and alerting with comprehensive guidance and automation. Trigger with phrases like "monitor system health", "set up alerts", or "track metrics".

54

Quality

45%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./plugins/database/database-transaction-monitor/skills/monitoring-database-transactions/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Discovery

40%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is generic and lacks specificity about what concrete actions the skill performs. While it includes some useful trigger phrases, the core capability description reads as vague fluff ('comprehensive guidance and automation') without detailing specific monitoring tasks, supported tools, or output types. It needs significantly more concrete detail to help Claude distinguish it from related skills.

Suggestions

Replace 'comprehensive guidance and automation' with specific concrete actions, e.g., 'Configure health checks, set up alerting rules, create monitoring dashboards, define SLOs/SLIs, and integrate with tools like Prometheus, Grafana, or Datadog.'

Expand trigger terms to include common variations users would naturally say, such as 'uptime monitoring', 'alerting rules', 'dashboards', 'observability stack', 'logging', 'APM', or specific tool names.

Add a clearer 'Use when...' clause that distinguishes this from related DevOps or infrastructure skills, e.g., 'Use when the user needs to set up, configure, or troubleshoot monitoring systems, alerting pipelines, or observability tooling.'

DimensionReasoningScore

Specificity

The description uses vague language like 'health monitoring and alerting with comprehensive guidance and automation' without listing concrete actions. It doesn't specify what kind of monitoring, what metrics, what alert mechanisms, or what systems are involved.

1 / 3

Completeness

It has a weak 'what' (health monitoring and alerting) and includes trigger phrases that serve as a partial 'when' clause. However, the 'what' is too vague to be truly useful, and the trigger guidance feels formulaic rather than providing clear selection criteria.

2 / 3

Trigger Term Quality

It includes some relevant trigger phrases like 'monitor system health', 'set up alerts', and 'track metrics', which are natural terms users might say. However, it misses common variations like 'observability', 'dashboards', 'uptime', 'logging', 'Prometheus', 'Grafana', 'notifications', or specific monitoring tool names.

2 / 3

Distinctiveness Conflict Risk

'Monitoring and observability' is a recognizable domain, and the trigger terms help narrow it somewhat. However, the description is broad enough that it could overlap with infrastructure management, DevOps, logging, or performance optimization skills.

2 / 3

Total

7

/

12

Passed

Implementation

50%

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 domain-specific knowledge for database transaction monitoring with useful SQL queries and a well-structured error handling table. However, it falls short on actionability by describing outputs (monitoring scripts, dashboards) without providing executable implementations, and the workflow lacks validation checkpoints especially around the destructive remediation step. The content would benefit from being split across multiple files given its breadth across three database engines.

Suggestions

Provide complete, executable monitoring scripts (shell or Python) rather than just describing them—the output section promises scripts but the instructions only contain SQL queries

Add a validation checkpoint before the automatic remediation step (step 9), such as a dry-run mode that logs which sessions would be terminated without actually killing them

Complete the truncated PostgreSQL lock monitoring query in step 4—the JOIN clause is missing its full condition and additional columns

Split engine-specific content (PostgreSQL, MySQL, MongoDB) into separate referenced files to reduce the monolithic nature and improve progressive disclosure

DimensionReasoningScore

Conciseness

The skill is reasonably focused on database transaction monitoring specifics, but includes some unnecessary verbosity—the examples section uses narrative prose that could be tightened into structured formats, and some instructions repeat threshold values that could be consolidated. The error handling table is useful but slightly verbose in places.

2 / 3

Actionability

Provides concrete SQL queries for PostgreSQL and MySQL which is good, but the monitoring scripts mentioned in the output section are never actually provided—only the queries are given. The instructions describe what to do (e.g., 'create monitoring scripts', 'build a dashboard query') without providing complete, executable implementations. The lock monitoring query in step 4 is incomplete (missing JOIN conditions).

2 / 3

Workflow Clarity

Steps are listed in a logical sequence from baseline establishment through alerting and remediation, but validation checkpoints are missing. There's no explicit verification step after setting up monitoring (e.g., 'verify alerts fire correctly with a test long-running transaction'). The automatic remediation step (9) involves destructive operations (terminating sessions) without a validation/dry-run checkpoint, which should cap this at 2.

2 / 3

Progressive Disclosure

The content is a single monolithic file with no bundle files to reference. At ~100+ lines covering three database engines, error handling, examples, and resources, some content (e.g., engine-specific queries, monitoring script templates) would benefit from being split into separate referenced files. The external resource links at the bottom are helpful but the inline content is dense.

2 / 3

Total

8

/

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

Repository
jeremylongshore/claude-code-plugins-plus-skills
Reviewed

Table of Contents

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