Design robust, scalable database schemas for SQL and NoSQL databases. Provides normalization guidelines, indexing strategies, migration patterns, constraint design, and performance optimization. Ensures data integrity, query performance, and maintainable data models.
Install with Tessl CLI
npx tessl i github:softaworks/agent-toolkit --skill database-schema-designerOverall
score
81%
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillValidation for skill structure
Discovery
68%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 excels at specificity and distinctiveness, clearly articulating concrete database design capabilities in a well-defined technical niche. However, it lacks explicit trigger guidance ('Use when...') which is critical for skill selection, and could benefit from more natural user-facing keywords beyond technical jargon.
Suggestions
Add an explicit 'Use when...' clause, e.g., 'Use when the user asks about database design, table structures, schema planning, or data modeling.'
Include more natural trigger terms users might say: 'tables', 'ERD', 'entity relationship', 'data model', 'foreign keys', 'database structure', 'schema migration'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Design robust, scalable database schemas', 'normalization guidelines', 'indexing strategies', 'migration patterns', 'constraint design', and 'performance optimization'. Uses third person voice correctly. | 3 / 3 |
Completeness | Clearly answers 'what does this do' with detailed capabilities, but lacks an explicit 'Use when...' clause or equivalent trigger guidance. The 'when' is only implied through the domain description. | 2 / 3 |
Trigger Term Quality | Includes relevant terms like 'SQL', 'NoSQL', 'database schemas', 'normalization', 'indexing', 'migration', but misses common user variations like 'tables', 'ERD', 'data model', 'foreign keys', 'primary keys', or file extensions. | 2 / 3 |
Distinctiveness Conflict Risk | Clear niche focused specifically on database schema design with distinct technical domain (SQL/NoSQL, normalization, indexing). Unlikely to conflict with general coding or document skills. | 3 / 3 |
Total | 10 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured, highly actionable skill with excellent progressive disclosure through collapsible sections. The workflow is clear with proper validation checkpoints. The main weakness is some verbosity in explaining concepts Claude already knows (basic database terminology) and trigger tables that add bulk without significant value.
Suggestions
Remove or significantly trim the 'Key Terms' section - Claude already understands normalization, foreign keys, and OLTP/OLAP concepts
Consider removing the 'Triggers' table as it adds tokens without providing actionable guidance
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is comprehensive but includes some unnecessary content like the 'Key Terms' section explaining basic concepts Claude already knows (normalization, OLTP/OLAP, foreign keys). The trigger table and some explanatory text could be trimmed. | 2 / 3 |
Actionability | Provides fully executable SQL code examples throughout, including complete CREATE TABLE statements, migration templates, index creation syntax, and specific commands. The examples are copy-paste ready and cover multiple scenarios. | 3 / 3 |
Workflow Clarity | The Process Overview provides a clear 4-phase workflow with explicit steps. The verification checklist serves as a validation checkpoint, and the migration section includes explicit backward compatibility and rollback considerations for destructive operations. | 3 / 3 |
Progressive Disclosure | Excellent use of collapsible details sections for deep dives, keeping the main content scannable while providing comprehensive reference material. The structure moves from Quick Start to Quick Reference to detailed sections, with clear navigation. | 3 / 3 |
Total | 11 / 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 — 13 / 16 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
skill_md_line_count | SKILL.md is long (688 lines); consider splitting into references/ and linking | Warning |
description_trigger_hint | Description may be missing an explicit 'when to use' trigger hint (e.g., 'Use when...') | Warning |
metadata_version | 'metadata' field is not a dictionary | Warning |
Total | 13 / 16 Passed | |
Table of Contents
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