BB guionizacion-historias-formula100k
Skill para crear guiones de SECUENCIAS DE HISTORIAS de Instagram (3-6 stories) usando la metodología FÓRMULA 100K. Activar cuando el usuario o un usuario pida: "guioniza una historia", "arma una secuencia de stories para vender X", "estructura mis historias", "necesito un guion de stories", "haz una secuencia de historias para mi lanzamiento", "escribe stories para [oferta]", "diseña la secuencia de historias del jueves", o cualquier variación que combine intención de vender/comunicar con el formato historias de IG. Genera UNA secuencia completa con: categoría detectada (Urgencia/One-Shot/ Lead Magnet/Libre/Encuestas), estructura de guion (1 de 24 disponibles), copy slide-by-slide, formato audiovisual por slide (🎥/📸 con uno de los 15 formatos), y briefing visual de diseño (paleta, capas, capturas, emojis). Guarda el output en guiones/historias/ como .md listo para ser tomado por la skill historias-a-imagenes-nanobanana.
Skill para crear guiones de SECUENCIAS DE HISTORIAS de Instagram (3-6 stories) usando la metodología FÓRMULA 100K.
As a process B 70/100 · Nearly there — weak spots: when it triggers, failures and branches, progress reporting
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: 7. 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")
Process rating: all ten parameters 70/100
- 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
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 68 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2853 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 935: 120–800 characters recommended
- -5TODO / placeholder text left in the skill
- -225 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 7 example trigger phrases
- +4Structure: 16 headings
- +3Step-by-step instructions: 68 items
- +3Output format is stated explicitly
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (6 of 6)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.