managing-database-testing
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
53%
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 command shortcuts. It uses proper third-person voice throughout and is clearly distinguishable from adjacent skills like general testing or general database management.
| 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 command shortcuts '/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 commands. Unlikely to conflict with general testing or general database skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
7%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 and abstract, lacking any concrete code examples, specific commands, or executable guidance. It reads more like a marketing description of a feature than an actionable skill file. The content explains concepts Claude already understands while failing to provide the specific patterns, code templates, and validation workflows that would make it useful.
Suggestions
Replace the abstract 'Examples' section with actual executable code snippets showing test data factory patterns (e.g., a complete SQLAlchemy + Faker factory class), transaction rollback decorators/fixtures, and schema validation scripts.
Add a concrete workflow with validation checkpoints for migration testing, e.g.: '1. Snapshot schema: `alembic current` 2. Run migration: `alembic upgrade head` 3. Validate: compare against expected schema 4. If mismatch: rollback with `alembic downgrade`'.
Remove the 'Overview', 'How It Works', 'When to Use', and 'Integration' sections entirely—they explain things Claude already knows and add no actionable value.
Add specific code templates for common patterns like pytest fixtures with database transaction rollback, factory_boy model factories, and Alembic migration validation scripts.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is verbose and explains concepts Claude already knows (what transactions are, what Faker does, what schema validation means). Phrases like 'This skill empowers Claude' and 'seamlessly integrates' are filler. The 'How It Works' and 'When to Use' sections largely repeat the description without adding actionable value. | 1 / 3 |
Actionability | There is no executable code, no concrete commands, no copy-paste ready examples. The 'Examples' section describes what the skill 'will do' in abstract terms rather than providing actual code or specific implementation patterns. It describes rather than instructs. | 1 / 3 |
Workflow Clarity | The numbered steps in examples are vague descriptions of intent ('Generate code that utilizes...') rather than concrete workflow steps. There are no validation checkpoints, no error recovery loops, and no specific commands for database testing workflows that involve destructive operations like schema changes. | 1 / 3 |
Progressive Disclosure | The content has some structural organization with clear section headers (Overview, How It Works, Examples, Best Practices), but it's a monolithic document with no references to external files. The content that exists is mostly filler rather than well-organized actionable material. | 2 / 3 |
Total | 5 / 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.
- Commit
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