Name: using-neon
Rating: 53.6 (1 reviews)
Author: administrakt0r

using-neon

Neon is a serverless Postgres platform that separates compute and storage to offer autoscaling, branching, instant restore, and scale-to-zero. It's fully compatible with Postgres and works with any language, framework, or ORM that supports Postgres.

Quality

61%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

Securityby

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/using-neon/SKILL.md

The canonical home for this skill is using-neon in administrakt0r/AI-Agents-Safe-Coding-Skills

Quality

Content

61%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 well-organized reference hub that routes users to per-area reference files and gives executable doc-fetching commands, but it carries some redundant padding and its referenced bundle files were not present to verify.

Suggestions

Remove the verbatim re-statement of the frontmatter description from the intro to save tokens.

Delete the meta-commentary sentence ('Below you'll find a list of resources...') and fix the 'additonal' typo.

Ensure the referenced references/*.md files are bundled alongside SKILL.md so the progressive-disclosure structure is complete and verifiable.

Dimension	Reasoning	Score
Conciseness	Mostly efficient tables and curl commands, but the intro repeats the frontmatter description verbatim and the 'Below you'll find a list of resources...' sentence is padding (with a typo, 'additonal') that could be trimmed.	3 / 5
Actionability	Provides concrete, copy-paste-ready curl commands ('curl https://neon.com/llms.txt' and the markdown fetch header) plus a clear routing table, with only minor gaps in actual Neon usage code.	4 / 5
Workflow Clarity	Routing from need to reference file to fetched docs is clear, and 'Don't guess docs pages' acts as a soft checkpoint, but there are no explicit validation checkpoints; this is a reference-lookup skill rather than a sequenced multi-step workflow.	3 / 5
Progressive Disclosure	Excellent overview structure with well-signaled, one-level-deep reference tables organized by area and 'When to Use' columns, but the referenced references/*.md files are not present in the bundle, so the references could not be fully verified.	4 / 5
	Total	14 / 20 Passed

Description

61%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 clearly conveys what Neon is and its key features, but it reads as a product description rather than a skill description: it lacks explicit 'when to use' trigger guidance and does not state what actions the skill itself performs.

Suggestions

Add an explicit 'Use when...' clause naming concrete triggers, e.g. 'Use when working with Neon Serverless Postgres, setting up Neon databases, or using Neon features like branching or autoscaling.'

State what the skill does (e.g. 'References Neon documentation and guides...') rather than only describing the Neon platform.

Include synonyms users might say ('database', 'SQL', 'Neon database') to broaden trigger coverage.

Dimension	Reasoning	Score
Specificity	Names the domain (serverless Postgres) and several concrete features ('autoscaling, branching, instant restore, and scale-to-zero'), but these are platform capabilities rather than explicit actions the skill performs, so coverage of skill actions is not comprehensive.	3 / 5
Completeness	Provides a clear 'what' (describes Neon and its features) but has no 'Use when...' clause or equivalent explicit trigger guidance, which per the rubric caps completeness at 3.	3 / 5
Trigger Term Quality	Includes natural terms a user would say ('Neon', 'serverless Postgres', 'Postgres', 'branching', 'autoscaling', 'ORM'), but misses common synonyms such as 'database', 'SQL', or 'Neon database'.	4 / 5
Distinctiveness Conflict Risk	The 'Neon' / 'serverless Postgres' framing carves a distinct niche with minimal conflict risk, though without explicit triggers it could marginally overlap with generic Postgres skills.	4 / 5
	Total	14 / 20 Passed

Validation

87%

Warnings & errors only

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

Validation — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning
referenced_paths_exist	Referenced path issues: 14 missing	Warning

	Total	14 / 16 Passed

Repository: administrakt0r/AI-Agents-Safe-Coding-Skills
Path: plugins/AI-Agents-Safe-Coding-Skills-claude/skills/using-neon/SKILL.md
Commit: 900c504

Reviewed: 6 hours ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.