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".
43
45%
Does it follow best practices?
Impact
—
No eval scenarios have been run
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.mdQuality
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.
This description is too vague about its actual capabilities, relying on buzzwords like 'comprehensive guidance and automation' without specifying concrete actions. While it includes some useful trigger phrases, the lack of specific actions and the generic nature of the description would make it difficult for Claude to confidently select this skill over others in a large skill library.
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 like 'observability', 'uptime monitoring', 'alerting rules', 'dashboards', 'logging', 'APM', and specific tool names users might mention.
Strengthen the 'when' clause with a proper 'Use when...' statement that covers specific scenarios, e.g., 'Use when the user needs to set up or configure monitoring infrastructure, create alerting pipelines, or troubleshoot observability gaps.'
| Dimension | Reasoning | Score |
|---|---|---|
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 does include trigger phrases, but the 'what' is too vague to be truly useful. The 'when' is present via the trigger phrases but the overall description lacks substance about actual capabilities. | 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 | The term 'monitoring and observability' provides some domain specificity, but 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 a solid conceptual framework for database transaction monitoring with useful SQL queries and a helpful error handling table. However, it falls short on actionability — many steps describe what to do without providing executable scripts or configurations. The lack of validation checkpoints for destructive operations (session termination) and the monolithic structure without bundle files limit its effectiveness.
Suggestions
Provide complete, executable monitoring scripts (shell or Python) rather than describing them — e.g., a full cron-ready script that queries pg_stat_activity and sends alerts via a webhook.
Add explicit validation checkpoints before destructive operations like session termination (e.g., 'Verify the session is truly idle and not owned by a critical service before terminating').
Split per-database-engine guidance (PostgreSQL, MySQL, MongoDB) into separate reference files to reduce the main skill's length and improve navigation.
Replace narrative examples with concrete input/output pairs showing actual query results and expected alert outputs.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is reasonably focused on database transaction monitoring specifics, but includes some verbose explanations (e.g., the examples section narrates scenarios rather than showing concrete commands/output, and some instructions could be tightened). The error handling table and resources are useful but the overall content is longer than necessary. | 2 / 3 |
Actionability | Provides real SQL queries for PostgreSQL and MySQL which is good, but many steps remain at the descriptive level ('create monitoring scripts', 'configure alerting thresholds', 'build a dashboard query') without providing actual executable scripts, cron configurations, or alerting code. The examples section describes scenarios narratively rather than showing concrete inputs/outputs. | 2 / 3 |
Workflow Clarity | Steps are numbered and sequenced logically from baseline establishment through alerting and remediation. However, there are no explicit validation checkpoints or feedback loops — step 9 involves destructive operations (terminating sessions) without a verify-before-act checkpoint, and there's no guidance on validating that monitoring is working correctly before relying on it. | 2 / 3 |
Progressive Disclosure | The content is a monolithic single file with no bundle files or references to separate detailed guides. The SQL queries, error handling table, examples, and resources are all inline. For a skill of this length and complexity, splitting monitoring scripts, per-database-engine guides, or alert configuration into separate files would improve organization. | 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.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
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 | |
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