CC adaptador-formatos-f100k
Toma un video/post viral de CUALQUIER nicho (incluso uno random y ajeno) — por enlace de Instagram, TikTok o YouTube — DECODIFICA su formato/mecánica viral (no su tema) y lo ADAPTA al RUBRO DE QUIEN LO PIDE (cualquiera: se lee del Segundo Cerebro o se pregunta), proponiendo 2-3 ángulos listos para guionizar. Activar SIEMPRE que alguien diga "adapta este formato a lo nuestro", "roba el formato de este reel", "este video random me gustó, sirve para mi nicho?", "convierte este viral en algo mío", "decodifica este formato", "qué formato tiene este video y cómo lo uso", "hazme algo como este pero de mi tema", o cualquier variación que combine un ENLACE de video viral (de tema ajeno o no) con la intención de reutilizar su ESTRUCTURA/MECÁNICA. NO confundir con investigacion-contenido-formula100k (caza referencias por keyword) ni con remix-viral-formula100k (relanza contenido PROPIO). Esta skill parte de UN video ajeno y extrae su esqueleto viral para trasplantarlo.
Toma un video/post viral de CUALQUIER nicho (incluso uno random y ajeno) — por enlace de Instagram, TikTok o YouTube — DECODIFICA su formato/mecánica viral…
As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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: 1. 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 51/100
- 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
- 20When it triggers. No condition that starts the skill
- 85Steps. 22 steps, 1 vague phrases
- 100Tools and files. No external tools needed
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2330 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 972: 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: 12 headings
- +3Step-by-step instructions: 22 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.