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baoyu-comic

Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and sequential image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".

Install with Tessl CLI

npx tessl i github:jimliu/baoyu-skills --skill baoyu-comic
What are skills?

Overall
score

99%

Does it follow best practices?

Validation for skill structure

SKILL.md
Review
Evals

Discovery

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.

This is a strong skill description that effectively communicates its purpose and triggers. It specifies concrete capabilities (educational comics, panel layouts, sequential generation), includes diverse natural trigger terms in multiple languages, and has an explicit 'Use when' clause. The description is concise yet comprehensive, with a clear niche that distinguishes it from generic image or comic generation skills.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'Creates original educational comics with detailed panel layouts and sequential image generation' - describes the domain (educational comics), specific outputs (panel layouts), and process (sequential image generation).

3 / 3

Completeness

Clearly answers both what ('Creates original educational comics with detailed panel layouts and sequential image generation') and when ('Use when user asks to create...' with explicit trigger phrases). Has explicit 'Use when' clause with specific triggers.

3 / 3

Trigger Term Quality

Includes excellent natural trigger terms users would say: '知识漫画', '教育漫画', 'biography comic', 'tutorial comic', 'Logicomix-style comic'. Covers both Chinese and English terms, plus specific comic subtypes users might request.

3 / 3

Distinctiveness Conflict Risk

Very distinct niche - educational/knowledge comics with specific style references. The combination of 'educational comics', bilingual triggers, and specific formats like 'Logicomix-style' makes it unlikely to conflict with general image generation or other comic skills.

3 / 3

Total

12

/

12

Passed

Implementation

100%

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

This is an exceptionally well-crafted skill document that maximizes information density through effective use of tables while maintaining clarity. The workflow is thoroughly documented with explicit validation checkpoints, especially around the critical character reference requirement. The progressive disclosure is excellent, with clear pointers to detailed reference materials without burying essential information.

DimensionReasoningScore

Conciseness

The skill is highly token-efficient, using tables extensively to compress information. No unnecessary explanations of concepts Claude would know; every section provides actionable configuration or workflow details.

3 / 3

Actionability

Provides concrete, executable bash commands with exact flags and paths. The workflow steps are specific with clear outputs, and the image generation commands are copy-paste ready with proper variable substitution patterns.

3 / 3

Workflow Clarity

Excellent multi-step workflow with explicit progress checklist, clear sequencing (character sheet MUST come before pages), and validation checkpoints marked with ⚠️ CRITICAL and ⚠️ REQUIRED warnings. The flow diagram and step summary table make the sequence unambiguous.

3 / 3

Progressive Disclosure

Well-organized with a clear overview and one-level-deep references to detailed materials (references/workflow.md, references/presets/, etc.). Content is appropriately split between the main skill file and reference documents, with clear navigation links.

3 / 3

Total

12

/

12

Passed

Validation

88%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata' field is not a dictionary

Warning

license_field

'license' field is missing

Warning

Total

14

/

16

Passed

Reviewed

Table of Contents

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.