Content
80%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 reference overview: lean and high-signal with excellent progressive disclosure (concise body, four real one-level-deep reference files, clean nav table). Its weaknesses are actionability (full code examples live in the references rather than the body) and workflow clarity (clear sequences but no explicit validate→fix→retry feedback loops for database operations).
Suggestions
Add an explicit validate→fix→retry feedback loop for database workflows — e.g., for slow-query tuning: run `explain("executionStats")` → check `nReturned ≈ totalKeysExamined ≈ totalDocsExamined` → if a COLLSCAN or blocking SORT appears, add/fix the index per ESR → re-run explain — framing the existing performance diagnostics as a sequenced loop rather than standalone rules.
Add a verification checkpoint to the 'Keeping this skill current' maintenance workflow (e.g., after updating version-gated claims, re-grep to confirm every `(≥X.Y)` tag still carries an IA/DG citation, or re-check each silently-changed default against the release notes) so the batch update has an explicit pass/fail step.
Inline one or two complete copy-paste examples in the body (e.g., a canonical `explain("executionStats")` invocation and an ESR-ordered `createIndex()` call) to raise actionability from concrete-commands to fully-executable common-case examples.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and high-signal — no padding explaining what MongoDB, an index, or BSON is; every section (version baseline, nav table, highest-leverage rules, maintenance) earns its place with MongoDB-specific, version-gated facts. Only one or two trivial known-concept clauses ('Normalizing speeds writes; denormalizing speeds reads') are borderline, keeping it at the top anchor rather than 4. | 5 / 5 |
Actionability | Provides concrete commands and config values — `grep -rn '(≥' …`, `explain("executionStats")`, `writeConcern:{w:"majority"}`, 16 MB limit, 3-member replica set — but complete copy-paste code examples covering common cases are delegated to the reference files rather than inlined, so it sits above the pseudocode/incomplete anchor but below fully-executable. | 4 / 5 |
Workflow Clarity | The 'Which reference to load' table and the numbered 1–5 maintenance sequence give clear sequencing, and step 4 ('Re-verify defaults that silently change') plus the explain() diagnostic ('A COLLSCAN or a blocking SORT stage means a missing/wrong index') are implicit checkpoints, but there is no explicit validate→fix→retry feedback loop — which the rubric stresses for database operations — so it caps at 3 rather than 4. | 3 / 5 |
Progressive Disclosure | Verified against the bundle: all four referenced files (schema-design.md, performance.md, benchmarking.md, standard-practices.md) exist, are standalone, and are one level deep with no nested cross-references; the body is a concise overview with a well-signaled symptom→file navigation table, matching the clear-overview / easy-navigation anchor. | 5 / 5 |
Total | 17 / 20 Passed |