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airtable-overview

Explains what Airtable is and how data is structured — bases, tables, fields, records, views, automations, and interfaces. Use when you need context about the Airtable data model.

62

Quality

72%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./plugins/airtable/skills/airtable-overview/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

70%

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 clean, well-organized glossary of the Airtable data model that fits its stated overview purpose and stays compact. It loses points for explaining concepts Claude already knows and for being purely descriptive with no operational guidance.

Suggestions

Drop spreadsheet/relational-database analogies and the marketing framing ("no-code platform", "AI-powered workflows") to tighten conciseness and assume Claude's competence.

Add a brief operational note tying the model to action (e.g. how records/fields map to API objects, or where to look to read/write a specific record) so the overview is actionable, not just definitional.

DimensionReasoningScore

Conciseness

Definitions are tight one-liners, but the body explains concepts Claude already knows (a table is "similar to a sheet in a spreadsheet") and carries mild marketing fluff ("no-code platform... AI-powered workflows"), matching anchor 2.

2 / 3

Actionability

The guidance is concrete and specific (not vague) but purely definitional — it describes rather than instructs, offering no operational guidance for doing anything with Airtable; matches anchor 2's "some concrete guidance but incomplete."

2 / 3

Workflow Clarity

This is a single-purpose overview under 50 lines with clear hierarchical sections (Data model → Bases/Tables/Fields/Records/Views, Automations, Interfaces) and no risky or batch operations requiring validation, so per the simple-skills note it scores 3.

3 / 3

Progressive Disclosure

The skill is under 50 lines, needs no external references (no references/scripts/assets bundle files exist), and is organized into well-signaled sections, so per the rubric note it scores 3 on well-organized sections alone.

3 / 3

Total

10

/

12

Passed

Description

75%

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 well-formed with an explicit Use-when trigger, a clear Airtable-specific niche, and a concrete enumeration of data-model components. Its main weakness is a narrow, somewhat generic trigger phrase and a single explanatory verb rather than multiple distinct actions.

Suggestions

Broaden the trigger to natural phrasings users would say, e.g. "Use when the user asks how Airtable is organized, what a base/table/view is, or needs Airtable data-model context."

Lead with a more active capability statement if applicable (e.g. "Maps Airtable terminology — bases, tables, fields, records, views, automations, interfaces — and how they relate") to strengthen specificity.

DimensionReasoningScore

Specificity

Names the Airtable domain and enumerates seven concrete structural components (bases, tables, fields, records, views, automations, interfaces), but the verb is singular ("Explains") rather than a list of multiple distinct actions, matching anchor 2.

2 / 3

Completeness

It explicitly answers both what ("Explains what Airtable is and how data is structured...") and when ("Use when you need context about the Airtable data model."), matching the anchor 3 example with an explicit trigger.

3 / 3

Trigger Term Quality

The trigger "Use when you need context about the Airtable data model" surfaces the relevant keyword "Airtable" but is narrow and misses common phrasings users would actually say (e.g. "how Airtable works", "what's a base"), matching anchor 2.

2 / 3

Distinctiveness Conflict Risk

"Airtable" is a specific named platform giving the skill a clear niche, and the trigger is scoped to the Airtable data model, making conflict with other skills unlikely; matches anchor 3.

3 / 3

Total

10

/

12

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
openai/plugins
Reviewed

Table of Contents

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