Content
92%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 reference: executable dual-syntax examples, explicit validation and feedback loops, and clean one-level reference split. Only minor conciseness redundancy keeps it from a perfect content score.
Suggestions
De-duplicate the Leiden undirected-relationship note (present at lines 128 and 244) into a single location.
Consider consolidating the repeated 'AGA Sessions → neo4j-aura-graph-analytics-skill' guardrails into one routing block to trim tokens.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense, operational content with almost no padding, but the Leiden undirected note is duplicated (lines 128 and 244) and the AGA-routing guardrail repeats several times — minor trimming possible. | 4 / 5 |
Actionability | Copy-paste-ready executable Cypher and Python blocks for projection, each algorithm across stream/mutate/write, memory estimation, and a full FastRP→KNN pipeline cover the common cases. | 5 / 5 |
Workflow Clarity | Numbered Full Workflow with explicit validation checkpoints (gds.version pre-flight, memory estimate, stream-before-write), a Common Errors recovery table, and a closing checklist for the complex process. | 5 / 5 |
Progressive Disclosure | Core/quick-start content inline with the full algorithm catalog and projection deep-dive pushed to clearly signaled one-level-deep references (references/algorithms.md, references/graph-projection.md) that exist on disk. | 5 / 5 |
Total | 19 / 20 Passed |