CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

image-generation

Use this skill when the user requests to generate, create, imagine, or visualize images including characters, scenes, products, or any visual content. Supports structured prompts and reference images for guided generation.

Quality

78%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Critical

Do not install without reviewing

Fix and improve this skill with Tessl

tessl review fix ./skills/public/image-generation/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

63%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 highly actionable with executable commands, full parameter documentation, and complete JSON prompt examples, organized in a clear three-step workflow. Its main weaknesses are padding (redundant Overview/Core Capabilities sections, oversized inline examples) and progressive-disclosure issues: a dangling template reference (templates/doraemon.md not in the bundle) and long examples inlined in SKILL.md instead of split into template files. Minor example inconsistencies (mismatched prompt filenames, a missing line-continuation backslash) slightly reduce copy-paste readiness.

Suggestions

Move the two long JSON prompt examples into separate template files under templates/ (e.g., templates/character.md, templates/reference-image.md) and link them from the 'Optional Templates' section, keeping only one trimmed example inline in SKILL.md.

Fix the example inconsistencies: add the missing '\' continuation before '--aspect-ratio 16:9' in the first command, and align the created prompt filename (asian-woman.json) with the filename used in the execution command (cyberpunk-hacker.json).

Remove or merge the 'Overview' and 'Core Capabilities' sections, which duplicate the frontmatter description, and add a brief validation step after generation (e.g., confirm the output file exists before presenting it).

DimensionReasoningScore

Conciseness

The 'Overview' and 'Core Capabilities' sections largely restate the frontmatter description, and two ~30-line JSON prompt examples (Tokyo street character, Star Wars scene) are inlined where one trimmed example would suffice. Mostly efficient with no explanations of concepts Claude already knows, but it could be tightened — matching anchor 3 rather than 4.

3 / 5

Actionability

Provides fully concrete, executable CLI invocations with a complete parameter list and complete JSON prompt examples covering the common cases (text-only and reference-image). Minor gaps keep it from 5: the first command's `--aspect-ratio 16:9` line is missing the trailing `\` continuation, and the character example creates `asian-woman.json` but the shown execution uses `cyberpunk-hacker.json`, so examples are not consistently copy-paste ready.

4 / 5

Workflow Clarity

A clear three-step sequence (understand requirements → create structured prompt → execute generation) with concrete sub-items in step 1 and post-generation output handling. Missing explicit validation checkpoints (e.g., confirm the JSON parses, check the output file exists) and any error-recovery loop, which is why it is not 5; generation is not destructive/batch so the ≤3 cap does not apply.

4 / 5

Progressive Disclosure

Section structure is reasonable and the template reference is clearly signaled ('Read the following template file only when matching the user request'), but the referenced `templates/doraemon.md` is absent from the bundle, and the long example JSONs that the skill's own 'Optional Templates' section says should be per-request templates are inlined in SKILL.md. This matches anchor 3: some structure, but content that should be separate is inline and a referenced path is broken.

3 / 5

Total

14

/

20

Passed

Description

83%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 description with an explicit 'Use this skill when...' trigger clause, concrete action verbs, and named object types (characters, scenes, products). Main weaknesses are missing common synonyms like 'picture' or 'illustration' and slightly broad trigger language ('visualize', 'any visual content') that risks minor overlap with visualization skills.

DimensionReasoningScore

Specificity

Names the domain and several concrete actions and objects ("generate, create, imagine, or visualize images including characters, scenes, products" plus "structured prompts and reference images"), but the verbs are largely synonyms rather than distinct capabilities and coverage has minor gaps (no output formats or iteration).

4 / 5

Completeness

Explicitly answers 'when' with concrete trigger phrases ("Use this skill when the user requests to generate, create, imagine, or visualize images...") and 'what' with the capability statement ("Supports structured prompts and reference images for guided generation"). Matches the anchor-5 pattern of both what and when with concrete triggers.

5 / 5

Trigger Term Quality

Good natural keyword coverage ("generate", "create", "imagine", "visualize", "images", "characters, scenes, products") that matches what users would say, but common synonyms like "picture", "illustration", "artwork", or "logo" are missing. Not 3 since the verb and object coverage clearly exceeds 'some relevant keywords'.

4 / 5

Distinctiveness Conflict Risk

Image generation is a clear niche with mostly distinct triggers, but "visualize" and "any visual content" broaden it slightly, creating minor overlap risk with data-visualization or design-related skills. Not 5 due to this residual ambiguity.

4 / 5

Total

17

/

20

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.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 1 missing

Warning

Total

15

/

16

Passed

Repository

bytedance/deer-flow

Path

skills/public/image-generation/SKILL.md

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.