CC historias-a-imagenes-nanobanana
Skill que convierte un guion de secuencia de historias (output de guionizacion-historias-formula100k) en imágenes terminadas listas para subir a Instagram Stories. Activar SIEMPRE que el usuario o un usuario pida: "renderiza este guion de historias", "convierte este guion en imágenes", "diséñame las stories de [archivo]", "pasa este guion a imágenes con nanobanana", "genera las historias diseñadas", "exporta este guion a PNG", "haz las imágenes de mi secuencia de stories", o cualquier variación que combine un guion de historias con la intención de tener archivos visuales finales. Usa la skill Nano Banana (Gemini) como motor por defecto, con el MCP de Higgsfield como alternativa. Se conecta con una carpeta de fotos de marca personal (la pregunta y guarda como preset) y elige automáticamente la mejor foto base por slide. Imita el estilo nativo de Instagram Stories (fuentes IG, cajas redondeadas, paleta del usuario, capas de capturas/mockups, flechas amarillas, X/✓).
Skill que convierte un guion de secuencia de historias (output de guionizacion-historias-formula100k) en imágenes terminadas listas para subir a Instagram…
As a process C 61/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 8. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
edit-residuethe text marks something as outdated (lines 80): check that old rules are not kept next to new ones — the full check reads the text for contradictions
Process rating: all ten parameters 61/100
- 0Result and completion. Does not say what the result is
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 45 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2646 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 978: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -5TODO / placeholder text left in the skill
- +1No license
- +2Single-language instructions
- +5Description quotes 7 example trigger phrases
- +4Structure: 20 headings
- +3Step-by-step instructions: 45 items
- +4Has examples (11 code blocks)
- +4Reference files are cited in the instructions (5 of 5)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.