This skill manages database testing by generating test data, wrapping tests in transactions, and validating database schemas. It is used to create robust and reliable database interactions. Claude uses this skill when the user requests database testing utilities, including test data generation, transaction management, schema validation, or migration testing. Trigger this skill by mentioning "database testing," "test data factories," "transaction rollback," "schema validation," or using the `/db-test` or `/dbt` commands.
84
50%
Does it follow best practices?
Impact
90%
1.04xAverage score across 9 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./backups/skills-migration-20251108-070147/plugins/testing/database-test-manager/skills/database-test-manager/SKILL.mdQuality
Discovery
100%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-crafted skill description that clearly articulates specific capabilities (test data generation, transaction wrapping, schema validation), provides explicit trigger guidance with natural keywords, and includes dedicated commands. It uses proper third-person voice throughout and carves out a distinct niche at the intersection of database operations and testing.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: generating test data, wrapping tests in transactions, validating database schemas, and migration testing. These are clear, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both 'what' (generates test data, wraps tests in transactions, validates schemas) and 'when' (explicit 'Use when' equivalent with trigger terms and commands listed). The 'Claude uses this skill when...' clause explicitly addresses when to select it. | 3 / 3 |
Trigger Term Quality | Includes strong natural trigger terms users would say: 'database testing,' 'test data factories,' 'transaction rollback,' 'schema validation,' plus specific commands '/db-test' and '/dbt'. Good coverage of natural variations. | 3 / 3 |
Distinctiveness Conflict Risk | Clearly scoped to database testing specifically, with distinct triggers like 'test data factories,' 'transaction rollback,' 'schema validation,' and dedicated slash commands. Unlikely to conflict with general database skills or general testing skills due to the intersection of both domains. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
0%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill content is almost entirely descriptive rather than instructive. It explains what the skill does at a high level but provides zero executable code, no concrete commands, no specific patterns, and no validation steps. It reads like a marketing description of a feature rather than an actionable guide for Claude to follow.
Suggestions
Replace the abstract 'Examples' section with actual executable code snippets showing test data factories (e.g., using SQLAlchemy + Faker), transaction-wrapped pytest fixtures, and schema validation scripts.
Add a concrete workflow with validation checkpoints, e.g.: 1. Generate factory → 2. Run seed script → 3. Validate row counts → 4. Run tests in transaction → 5. Verify rollback left DB clean.
Remove the 'How It Works,' 'When to Use This Skill,' and 'Integration' sections entirely—they explain concepts Claude already knows and add no actionable value.
If the topic is complex enough, create supporting bundle files (e.g., FACTORIES.md, TRANSACTIONS.md, SCHEMA_VALIDATION.md) with detailed patterns and reference them from a lean overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is verbose and explains concepts Claude already knows (what test data generation is, what transaction rollback means, what schema validation does). Sections like 'How It Works,' 'When to Use This Skill,' and 'Integration' add no actionable value and waste tokens on descriptions Claude doesn't need. | 1 / 3 |
Actionability | There is no executable code, no concrete commands, no specific library usage patterns, and no copy-paste ready examples. The 'Examples' section describes what the skill 'will do' rather than actually providing the code or commands. It describes rather than instructs. | 1 / 3 |
Workflow Clarity | The multi-step processes (test data generation, transaction wrapping, schema validation) lack concrete sequenced steps, validation checkpoints, or error recovery loops. Steps like 'Create Python code' and 'Provide instructions' are meta-descriptions, not actual workflows. | 1 / 3 |
Progressive Disclosure | The content is a monolithic block with no references to external files, no bundle structure, and no separation of overview from detailed content. All sections are inline with no navigation aids, and there are no supporting files despite the complexity of the topic warranting them. | 1 / 3 |
Total | 4 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
13d35b8
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.