SKILLEMALL.ai

CC roadmap-producto-f100k

Construye el ROADMAP de un programa, curso, comunidad, servicio o producto físico con Backward Design (ingeniería inversa desde la promesa final). Diseña el viaje del cliente — punto A a punto B — en fases con objetivos y entregables medibles. Soporta 4 tipos: digital (curso), comunidad (Skool), servicio (consultoría/coaching 1:1) y producto físico. Activar SIEMPRE que se pida 'hazme un roadmap', 'arma el roadmap de mi curso', 'diseña el paso a paso de mi programa', 'metodología de mi formación', 'cómo estructuro mi curso', 'fases de mi comunidad', 'arquitectura de mi programa', 'ingeniería inversa de mi promesa', 'backward design', 'estructura mi mentoría/consultoría', 'onboarding de mi producto físico', o cualquier variación de estructurar el VIAJE/CONTENIDO del producto. NO usar para la OFERTA de venta (constructor-ofertas-f100k), copy de venta (vsl-expert-f100k) ni calendarios de contenido (calendarizador-contenido-formula100k). Es el paso PREVIO a constructor-ofertas-f100k.

ClawHub Agent Skills author: Fórmula 100K v1.0.2 MIT-0 2 files body ≈ 4 638 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

Construye el ROADMAP de un programa, curso, comunidad, servicio o producto físico con Backward Design (ingeniería inversa desde la promesa final).

As a process C 58/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

ProcedureWordWhatsAppOperations and projectstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
C
58/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • 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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 58/100

  • 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
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 4638 tokens
  • 85Steps. 108 steps, 1 vague phrases
  • 100Tools and files. No external tools needed
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. No mutating operations
  • low 12 top-level sections: this looks like several domains in one skill

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)
  • +3Description length 993: 120–800 characters recommended
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +4Structure: 39 headings
  • +3Step-by-step instructions: 108 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
This is not malware, but it needs review because a roadmap skill also mandates sales-offer, financial-projection, public-posting, and persistent file outputs beyond its stated boundary.
LLM: suspicious (high) · 17 Sept 2026