AD picture-book-wizard
A specialized skill for generating high-quality, consistent children's bilingual picture books using 'banana nano'. Supports 18 visual styles across 4 categories (7 core children's book styles, 5 atmospheric styles, 5 Chinese cultural styles, 1 specialized), 12 scenes (5 nature + 7 cultural), age-driven dynamic content system (ages 3-12), and expanded learning domains (science, math, history, psychology, etc.). Use when the user wants to create picture book stories, prompts, or learning materials.
A specialized skill for generating high-quality, consistent children's bilingual picture books using 'banana nano'.
As a process D 47/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 44. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 47/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 40Consistency. Frontmatter name (picture-book-wizard) differs from the folder (kart-io-picture-book-wizard)
- 50Steps. 2 steps
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Execution cost. Instruction body is 499 tokens
- 100Running it twice. No mutating operations
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- -43 reference files, but SKILL.md never points to them: the model will not open them
- -32 of 2 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 502: enough signal without eating the budget
- +4Structure: 7 headings
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.