Content
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 strong, well-organized skill that provides clear, actionable guidance for searching a Calibre library. Its main strengths are the concrete executable commands, explicit validation checkpoints, and well-defined fallback workflows. The only notable weakness is mild verbosity—some sections (result handling, quick response rules) overlap, and a few lines could be consolidated without losing clarity.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is mostly efficient and avoids explaining concepts Claude already knows, but there's some redundancy between sections (e.g., result handling repeats what's already covered in quick response rules, and the orchestration fallback rules could be tighter). The decision tree and common commands sections are well-structured but the overall document could be trimmed by ~20%. | 2 / 3 |
Actionability | Every task maps to a concrete, copy-paste-ready bash command with specific flags and arguments. The JSON output examples for find_books.py and error responses give Claude clear expectations of what to parse and return. | 3 / 3 |
Workflow Clarity | The library discovery and validation section provides a clear numbered sequence with explicit validation checkpoints (test -r checks, stop-and-report on failure). The orchestration section provides well-defined fallback/retry loops for error recovery, and the decision tree clearly routes different user intents to specific tools. | 3 / 3 |
Progressive Disclosure | The skill is well-structured with clear sections progressing from discovery → decision tree → common commands → fallback rules → boundaries. It appropriately references `references/scripts.md` for detailed script arguments and output formats, keeping the main file at overview level with one-level-deep navigation. | 3 / 3 |
Total | 11 / 12 Passed |