Name: ax-go-ai
Rating: 68.8 (1 reviews)
Author: ax-llm

ax-go-ai

Use when writing Go code with `github.com/ax-llm/ax/packages/go` for named deployment profiles, generic provider clients, model selection, OpenAI-compatible calls, Responses, Gemini, Anthropic, routers, and balancers.

Quality

84%

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Securityby

Passed

No findings from the security scan

Quality

Content

76%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.

A dense, efficient reference-style skill body that assumes competence and conveys precise package facts. Its main gaps are the scarcity of executable code examples and the absence of an explicit validate-checkpoint workflow.

Suggestions

Add one or two short, runnable Go snippets for the most common cases (e.g., a ProviderRouter or adaptive balancer setup) to lift actionability toward copy-paste ready.

Provide a brief numbered workflow with an explicit validation checkpoint for at least one fragile path, such as verifying a structured-output mode is supported before transport.

Consider moving the long 'Relevant API Surface' symbol list into a bundled reference file under references/ and pointing to it, to strengthen progressive disclosure.

Dimension	Reasoning	Score
Conciseness	The body is lean and fact-dense with no padding or explanation of concepts Claude already knows; every line carries package-specific knowledge (profile names, option keys, capability rungs) that earns its place.	5 / 5
Actionability	It provides precise, concrete guidance — exact API symbols, option keys, and profile names — but offers only one minimal code snippet and describes common cases (routing, caching, Vertex) rather than showing copy-paste runnable examples, leaving minor gaps.	4 / 5
Workflow Clarity	Decision guidance and ordering hints are present ('Start from package examples', 'Start with examples/adaptive_balancer_no_key...then use...'), but there is no explicit multi-step sequenced workflow and validation checkpoints are only implicit.	3 / 5
Progressive Disclosure	Content is well organized into clearly headed sections with an appropriately scoped inline API surface and clear pointers to external package artifacts (examples/, API.md), though there is no in-bundle progressive split to reach a clean 5.	4 / 5
	Total	16 / 20 Passed

Description

92%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.

A strong, specific description that clearly states both purpose and trigger conditions, tied to a distinct package niche. Slightly weaker on trigger-term naturalness because it relies on package-specific jargon rather than common synonyms.

Dimension	Reasoning	Score
Specificity	Names the domain (Go with the Ax package) and enumerates many concrete capabilities — 'named deployment profiles, generic provider clients, model selection, OpenAI-compatible calls, Responses, Gemini, Anthropic, routers, and balancers' — giving comprehensive coverage of specific actions.	5 / 5
Completeness	It explicitly answers both what (writing Go code with the package for the listed capabilities) and when ('Use when writing Go code with github.com/ax-llm/ax/packages/go'), with concrete trigger phrases.	5 / 5
Trigger Term Quality	'Use when writing Go code' is a natural trigger and the listed capability terms (routers, balancers, Responses) are what a user of this package would say, but it leans on package jargon and omits synonyms or file extensions, leaving a few natural terms missing.	4 / 5
Distinctiveness Conflict Risk	It targets a single specific generated Go package with named concepts (deployment profiles, routers, balancers), carving a clear niche with minimal overlap risk against other skills.	5 / 5
	Total	19 / 20 Passed

Validation

93%

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 — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: ax-llm/ax
Path: packages/go/skills/ax-go-ai/SKILL.md
Commit: dec4f9e

Reviewed: 5 days ago

Table of Contents

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