Content
78%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, highly actionable skill body: executable commands throughout, clearly sequenced decision workflows with concrete criteria, and exemplary one-level-deep reference disclosure. The main cost is redundancy — commands repeated across three sections and a padding 'Tech Stack Coverage' list — plus decision workflows that lack an explicit validation checkpoint before documenting the decision.
Suggestions
Remove the 'Common Commands' section and the 'Tech Stack Coverage' section: the former duplicates commands already shown in each tool's 'Usage' block, and the latter lists technologies without actionable guidance, together saving ~30 lines of context.
Consolidate the 'Quick Start' commands with each tool's 'Usage' examples so each command appears exactly once, keeping Quick Start as a 3-line pointer to the tool sections.
Add a validation step to the decision workflows before 'Document decision' — e.g., 'Step 4: Verify the tentative choice against Step 1 data characteristics and Step 2 scale requirements; if two or more checks fail, revisit the alternative options' — to close the workflow's feedback loop.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The core tool and workflow sections are dense and table-driven, but there is real padding: the same script commands appear three times (Quick Start, per-tool 'Usage', and 'Common Commands'), and the 'Tech Stack Coverage' section is a non-actionable list of technologies Claude already knows. This is 'some unnecessary explanation that could be tightened' rather than the 'minor instances' of the anchor-4 example. | 3 / 5 |
Actionability | Every tool section gives copy-paste-ready commands (e.g., 'python scripts/dependency_analyzer.py ./project --check circular') with flags, output formats, and example outputs, and all three referenced scripts exist in the bundle. The decision workflows use concrete thresholds ('>100M records, global distribution → CockroachDB, Spanner, or DynamoDB'). Fully executable and covering the common cases — matches anchor 5. | 5 / 5 |
Workflow Clarity | The three decision workflows (Database Selection, Pattern Selection, Monolith vs Microservices) are clearly sequenced in numbered steps with explicit criteria tables and a checklist. However, no validation or review checkpoint exists (e.g., re-checking a tentative database choice against the Step-1 characteristics before documenting the ADR) — a 'clear sequence with most checkpoints present; minor validation gaps', so anchor 4 rather than 5. Not 3: the sequences are complete and well-defined, not merely 'listed with implicit checkpoints'. | 4 / 5 |
Progressive Disclosure | SKILL.md is an overview with detail correctly pushed to three one-level-deep reference files, all of which exist, and navigation is well signaled via the 'Load these files for detailed information' table mapping each file to its contents and trigger questions ('which database?', 'how to design?'). The reference files contain only internal anchors, so there is no nested-reference problem. This matches the anchor-5 pattern. | 5 / 5 |
Total | 17 / 20 Passed |