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data-table-manager

Load before calling data-tables or parse-file. Use for natural standalone requests like "what data tables do I have?", "show/list my tables", or "what columns are in this table?", and whenever the user asks to list, show, create, inspect, import, seed, query, update, clean up, rename columns in, or delete data tables and rows, especially from CSV/XLSX/JSON attachments. Also load before building or planning workflows that create or write to Data Tables (then load workflow-builder before build-workflow).

79

Quality

100%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

High

Do not use without reviewing

SKILL.md
Quality
Evals
Security

Quality

Content

100%Weight 40%Scale 1-3

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

The body is concise, actionable, and well-sequenced with validation and feedback loops for risky operations, while progressively disclosing detail to one verified reference file. It scores at the top of every dimension.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence, covering tool semantics, design rules, and edge cases without explaining basic concepts Claude already knows; every section earns its place.

3 / 3

Actionability

Gives concrete, executable guidance throughout — exact tool calls (data-tables(action="list"), insert-rows batches of 100, query filter operators, batch/page limits) and the referenced playbook supplies copy-ready recipes and output examples.

3 / 3

Workflow Clarity

Multi-step processes (Default Procedure, File Imports, Query/Mutate/Delete) are explicitly sequenced with validation checkpoints — inspect schema before writes, query-before-mutate counts, stop-and-ask on ambiguity, and report-on-block feedback loops for destructive/batch operations.

3 / 3

Progressive Disclosure

SKILL.md is an organized overview that defers detail to a single, clearly signaled one-level-deep reference (references/data-table-playbook.md, confirmed to exist), matching the level-3 anchor for well-signaled single-depth references.

3 / 3

Total

12

/

12

Passed

Description

100%Weight 40%Scale 1-3

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 specific, trigger-rich, complete, and clearly differentiated, with explicit what/when guidance and concrete load-order routing. It earns top marks across all four dimensions.

DimensionReasoningScore

Specificity

Lists many concrete actions — "list, show, create, inspect, import, seed, query, update, clean up, rename columns in, or delete data tables and rows" — matching the level-3 anchor of multiple specific concrete actions.

3 / 3

Completeness

Clearly answers both "what" (build and maintain n8n Data Tables via data-tables/parse-file) and "when" (explicit "Use for..." triggers and a "load before..." routing clause), matching the level-3 anchor for explicit triggers.

3 / 3

Trigger Term Quality

Embeds natural phrases users would actually say ("what data tables do I have?", "show/list my tables", "what columns are in this table?") plus explicit verbs and file formats (CSV/XLSX/JSON), giving strong coverage of natural terms.

3 / 3

Distinctiveness Conflict Risk

The skill carves a clear niche around n8n Data Tables and disambiguates from workflow-builder via the "load this skill, then workflow-builder" routing, making conflicts with other skills unlikely.

3 / 3

Total

12

/

12

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
n8n-io/n8n
Reviewed

Table of Contents

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