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neo4j-driver-python-skill

Neo4j Python Driver v6 — driver lifecycle, execute_query, managed and explicit transactions, async (AsyncGraphDatabase), result handling, data type mapping, error handling, UNWIND batching, connection pool tuning, and causal consistency. Use when writing Python code that connects to Neo4j via GraphDatabase.driver, execute_query, execute_read, execute_write, AsyncGraphDatabase, neo4j.Result, or RoutingControl. Package name is `neo4j` (not neo4j-driver) since v6. Python >=3.10 required. Does NOT handle Cypher query authoring — use neo4j-cypher-skill. Does NOT cover driver upgrades or breaking changes — use neo4j-migration-skill. Does NOT cover GraphRAG pipelines (neo4j-graphrag package) — use neo4j-graphrag-skill.

74

Quality

93%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

86%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is a strong, action-dense API reference with executable examples, clear per-section workflows, and clean progressive disclosure into four real reference files. Its only weak spot is a slight redundancy between inline callouts and the Common Errors table, and the absence of an explicit feedback loop for batch writes.

Suggestions

Collapse the Common Errors table entries that restate inline guidance (e.g. f-string params, omitted database_, leaked sessions) into cross-references, keeping only rows that add new information.

Add an explicit validate→fix→retry feedback loop to the UNWIND batch-write section, e.g. compare summary.counters.nodes_created to len(rows) and retry/reconcile on mismatch.

Consider moving the version-annotated caveats ([6.1+], [6.2+]) into a short 'Version notes' block so feature guidance reads cleanly without inline version clutter.

DimensionReasoningScore

Conciseness

Code-forward and assumes Claude's competence — no padding explaining what a graph database or driver is — but the large Common Errors table partly reiterates guidance already stated inline in earlier sections, so a few tokens could be trimmed. Not a 5 due to that minor redundancy; not a 3 because almost everything earns its place.

4 / 5

Actionability

Copy-paste-ready executable code throughout (driver lifecycle, execute_query, execute_read/write, async lifespan, UNWIND batching, error handling, result access), with specific commands (`pip install neo4j`) and concrete examples covering the common cases.

5 / 5

Workflow Clarity

Clear sequences per section (create → verify_connectivity → work → close; run → consume → check counters) with verification checkpoints (verify_connectivity, consume for commit, counters, end-of-doc checklist), but there is no explicit validate→fix→retry feedback loop woven into the batch/destructive UNWIND write path, so it stops short of the top anchor.

4 / 5

Progressive Disclosure

SKILL.md is a well-sectioned overview that links four real one-level-deep reference files (async.md, data-types.md, performance.md, transactions.md) both inline and in a dedicated References section, with content appropriately split and easy to navigate.

5 / 5

Total

18

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is exemplary: third-person, dense with concrete capabilities, explicit 'Use when' triggers using real API symbols, and clear deconfliction boundaries against sibling skills. It hits the top anchor on every dimension.

DimensionReasoningScore

Specificity

Lists many concrete driver actions — 'driver lifecycle, execute_query, managed and explicit transactions, async (AsyncGraphDatabase), result handling, data type mapping, error handling, UNWIND batching, connection pool tuning, and causal consistency' — giving comprehensive coverage rather than vague abstractions.

5 / 5

Completeness

Explicitly answers both what (the enumerated capabilities) and when ('Use when writing Python code that connects to Neo4j via...') with concrete trigger phrases, matching the top anchor.

5 / 5

Trigger Term Quality

Surfaces the exact API symbols a developer would name when reaching for this skill — 'GraphDatabase.driver, execute_query, execute_read, execute_write, AsyncGraphDatabase, neo4j.Result, or RoutingControl' — comprehensive natural-term coverage with synonyms.

5 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (Neo4j Python Driver v6) with distinct API-symbol triggers and explicit 'Does NOT' boundaries routing to neo4j-cypher-skill, neo4j-migration-skill, and neo4j-graphrag-skill, minimizing overlap risk.

5 / 5

Total

20

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
neo4j-contrib/neo4j-skills
Reviewed

Table of Contents

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