Content
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a comprehensive, highly actionable PostgreSQL schema design reference with excellent concrete examples and PostgreSQL-specific gotchas that genuinely add value beyond Claude's base knowledge. Its main weaknesses are its monolithic length (could benefit from splitting detailed sections into referenced files) and the lack of explicit validation checkpoints in the workflow for what are potentially destructive DDL operations. The 'Do not use' data types section and gotchas are particularly well-done additions.
Suggestions
Add explicit validation steps to the main workflow (e.g., 'Run EXPLAIN ANALYZE on key queries after index creation', 'Test DDL in transaction with ROLLBACK before committing') to create a proper feedback loop for schema changes.
Split detailed reference sections (Data Types, JSONB Guidance, Indexing, Partitioning) into separate referenced files to improve progressive disclosure and reduce the main skill's token footprint.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is information-dense and mostly avoids explaining basics Claude already knows, but it's quite long with some sections that could be tightened (e.g., the TOAST storage details, extensive data type catalog). Some entries like network types and geometric types add marginal value given their brevity. However, most content is PostgreSQL-specific knowledge that genuinely adds value. | 2 / 3 |
Actionability | The skill provides concrete, executable SQL examples throughout—CREATE TABLE statements, CREATE INDEX commands, specific syntax for partitioning, JSONB indexing with operator classes, and complete table examples at the end. Guidance is specific (e.g., 'use BIGINT GENERATED ALWAYS AS IDENTITY', exact CHECK constraint syntax) rather than abstract. | 3 / 3 |
Workflow Clarity | The Instructions section provides a 5-step workflow but lacks explicit validation checkpoints. The 'Safe Schema Evolution' section mentions transactional DDL for testing but doesn't integrate validation into the main workflow. For destructive DDL operations, the Safety section mentions backups and rollback plans but doesn't provide a concrete validate-fix-retry loop, which should cap this at 2. | 2 / 3 |
Progressive Disclosure | The content is well-organized with clear headers and logical sections, but it's a monolithic document with no references to external files for detailed topics. Sections like JSONB Guidance, Partitioning, and the full Data Types catalog could be split into separate reference files. For a skill of this length (~300+ lines), inline content would benefit from being split with navigation pointers. | 2 / 3 |
Total | 9 / 12 Passed |