sn-image-resume

Generates a designed portfolio-resume image from resume content provided in conversation text. Extracts optional style instructions, converts the resume into a fixed portfolio-resume layout prompt, and generates the final image through sn-image-base. Use when user asks to create "resume image", "portfolio resume", "简历图", "简历海报", or "个人简历视觉设计".

Quality

92%

Does it follow best practices?

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Securityby

Low

Low-risk findings worth noting

Quality

Content

85%

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

The body is highly actionable and well-sequenced with executable commands, clear validation checkpoints, and appropriately offloaded detail references. Its only weakness is moderate redundancy where parameter lists and dependency info are repeated across sections.

Suggestions

Remove the duplicated aspect_ratio allow-list in Workflow Step 3 — reference 'the allowed values from the Input Specification table' instead of restating all eleven ratios verbatim.

Consolidate the API Configuration and Call Relationship sections so the bottom-level dependency ('sn-image-base → sn-text-optimize, sn-image-generate') is stated once rather than restated.

Trim the References section to avoid repeating tool/auth details already covered in API Configuration; keep it as a pure file pointer list.

Dimension	Reasoning	Score
Conciseness	The body is mostly lean technical content with no padding about concepts Claude already knows, but it duplicates the full aspect_ratio value list in both the Input Spec table and Workflow Step 3, and the final References/Call Relationship sections restate info already in API Configuration — so it could be tightened.	2 / 3
Actionability	Provides fully executable bash commands with real flags and paths (e.g. 'python "$SN_IMAGE_BASE/scripts/sn_agent_runner.py" sn-text-optimize --system-prompt-path ...'), complete heredocs, and a concrete JSON return contract — copy-paste ready.	3 / 3
Workflow Clarity	Sequenced Main Agent and Worker Agent workflows with explicit validation checkpoints (non-empty resume_content, aspect_ratio allow-list, JSON parse/non-zero exit checks) and error-recovery feedback loops that stop and report real errors.	3 / 3
Progressive Disclosure	SKILL.md acts as an overview with clearly signaled one-level-deep references ('prompts/resume.md', '../sn-image-base/references/api_spec.md') in a dedicated References section, with detailed layout rules kept out of the main file.	3 / 3
	Total	11 / 12 Passed

Description

100%

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 concise, specific, and complete: it states concrete actions and provides an explicit 'Use when' trigger clause with natural multilingual keywords. It cleanly satisfies all four dimensions with no vague fluff.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'Generates a designed portfolio-resume image', 'Extracts optional style instructions', 'converts the resume into a fixed portfolio-resume layout prompt', 'generates the final image through sn-image-base' — matching the top anchor for specific concrete actions.	3 / 3
Completeness	Explicitly answers both what (generates a portfolio-resume image from resume text) and when via the 'Use when user asks to create...' clause, satisfying the top anchor with an explicit trigger.	3 / 3
Trigger Term Quality	Includes natural terms a user would say — 'resume image', 'portfolio resume', '简历图', '简历海报', '个人简历视觉设计' — giving good coverage including common Chinese variations rather than technical jargon.	3 / 3
Distinctiveness Conflict Risk	Occupies a clear niche (designed resume/portfolio image generation) with distinctive triggers, making it unlikely to fire for unrelated image skills.	3 / 3
	Total	12 / 12 Passed

Validation

81%

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 — 13 / 16 Passed

Validation for skill structure

Criteria	Description	Result
metadata_version	'metadata.version' is missing	Warning
metadata_field	'metadata' should map string keys to string values	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	13 / 16 Passed

Repository: OpenSenseNova/SenseNova-Skills
Path: skills/sn-image-resume/SKILL.md
Commit: 179fea1

Reviewed: 2 days ago

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