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gpt-image-2

面向 GPT Image 2 的图像生成 / 编辑技能。可在 3 种环境下使用:(A) Garden 本地模式,通过 OpenAI 兼容接口直接出图并落盘;(B) Host-Native 模式,把本 Skill 当作提示词工程指引,把渲染好的 prompt 交给宿主 Agent 自带的图像工具出图;(C) Advisor 模式,宿主无任何图像工具时退化为高质量 prompt 顾问。涵盖 18 大类、80+ 个结构化模板,覆盖海报 / UI / 产品 / 信息图 / 学术图 / 技术架构图 / 漫画 / 头像 / 流程板 / 电影分镜 / IP 周边 / 编辑工作流等场景。

68

Quality

83%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

85%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.

A highly actionable, well-structured body with clear sequenced workflows and excellent progressive disclosure into verified bundle files. The only weak spot is moderate redundancy across the several sections that restate the three-mode behavior.

Suggestions

Consolidate the mode behavior description into one place (运行模式 + 模式决策表) and have 快速用法 and 提示词工作流 cross-reference it rather than restate it, to reduce redundancy.

Consider moving the full per-template catalog of the template index into a single references/INDEX.md and summarizing only categories in SKILL.md to trim the inline catalog length.

DimensionReasoningScore

Conciseness

Largely efficient with tables and concrete commands and no basic-concept padding, but mode guidance is restated across 运行模式, 模式决策表, 快速用法, and 提示词工作流, and the template index is a long catalog that could be slightly tightened.

2 / 3

Actionability

Provides fully executable, copy-paste-ready commands with concrete flags (e.g. generate.js --prompt/--size/--quality, edit.js --image/--mask, check-mode.js --json) and specific output-path examples.

3 / 3

Workflow Clarity

An 8-step mode-aware workflow is clearly sequenced with mode detection as step 1, explicit per-mode branches (7-A/7-B/7-C), a decision table, and error-recovery checkpoints (script failure → offer B/C fallback).

3 / 3

Progressive Disclosure

SKILL.md acts as a well-organized overview with one-level-deep, clearly signaled references into 18 categorized subdirectories (verified to exist), each listing its template files for easy navigation.

3 / 3

Total

11

/

12

Passed

Description

82%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.

A specific, well-scoped description with strong trigger-term coverage and low conflict risk, undermined only by the absence of an explicit 'Use when...' trigger clause. Adding a brief explicit usage-trigger sentence would raise completeness.

Suggestions

Append an explicit 'Use when...' trigger clause (e.g. 'Use when the user asks to generate or edit posters, UI mockups, product visuals, infographics, academic figures, or storyboard images for GPT Image 2') to satisfy the completeness 'when' requirement.

Lead with the core action ('Generate and edit images for GPT Image 2') before the three-mode breakdown so the primary capability is visible in the first sentence.

DimensionReasoningScore

Specificity

Lists multiple concrete actions across three environments: direct image generation and disk save via OpenAI-compatible API, handing rendered prompts to a host agent's native image tool, and degrading to a prompt advisor; plus a concrete scope of 18 categories and 80+ templates.

3 / 3

Completeness

Clearly answers 'what' (image generation/editing in three modes) but lacks an explicit 'Use when...' trigger clause; the 'when' is only implied from the scenario list, which caps completeness at 2 per the rubric guideline.

2 / 3

Trigger Term Quality

Includes a broad set of natural terms users would actually say—海报, UI, 产品, 信息图, 学术图, 技术架构图, 漫画, 头像, 电影分镜, IP 周边—covering many common task variations.

3 / 3

Distinctiveness Conflict Risk

Occupies a clear niche (GPT Image 2 generation/editing across three explicit modes) with distinct triggers, making it unlikely to fire for an unrelated skill.

3 / 3

Total

11

/

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

referenced_paths_exist

Referenced path issues: 3 missing

Warning

Total

15

/

16

Passed

Repository
ConardLi/garden-skills
Reviewed

Table of Contents

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