Content
65%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.
The body is lean and well-structured with a clear step sequence and a defined output schema, but it lacks executable code or commands and provides no validation checkpoints for a batch operation over a repository, which caps actionability and workflow clarity.
Suggestions
Add executable guidance: name specific libraries (e.g., scikit-learn KMeans/DBSCAN, scikit-learn TfidfVectorizer or a sentence-embedding model) and a minimal runnable snippet for the core clustering step.
Add validation/verification checkpoints for this batch operation, e.g., verify embeddings were generated for all documents, check for empty clusters, and confirm the report covers every input document before finishing.
Trim the restated-purpose intro line and the Quick Reference section, since 'Purpose' and 'Techniques' duplicate content already implied by the workflow and Required Outputs.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient with no padding about what NLP or clustering is, but the introductory sentence ('This skill helps organize large collections, identify redundancies, and discover relationships.') and the Quick Reference section restate content already covered. These are minor over-explanation instances rather than verbosity, fitting anchor 4. | 4 / 5 |
Actionability | It names concrete techniques (K-Means, DBSCAN, TF-IDF, embeddings) and defines the output schema, but provides no executable code, specific commands, or library names — it describes steps ('Ingest documents', 'Normalize text') rather than giving runnable guidance. This lands between anchors 2 and 3; the named techniques and structured output lift it to 3. | 3 / 5 |
Workflow Clarity | Steps 1-4 are clearly sequenced, but this is a batch operation over a document repository with no validation or verification checkpoints. Per the rubric, missing validation in batch operations caps workflow_clarity at 3. | 3 / 5 |
Progressive Disclosure | No bundle files exist and the body is under 50 lines, so per the simple-skill guidance progressive disclosure can score 5 when content is clear and well-organized into sections (Inputs, Workflow, Required Outputs, Quick Reference). | 5 / 5 |
Total | 15 / 20 Passed |