SKILLEMALL.ai

AC scaling-strategy

Scale a solopreneur business beyond solo operations. Use when growing revenue, adding team members, systematizing operations, considering when and how to scale, or transitioning from solopreneur to small team. Covers scaling readiness, delegation strategies, hiring contractors vs employees, process documentation, and sustainable growth principles. Trigger on "scale my business", "scaling strategy", "grow beyond solo", "hiring", "build a team", "delegate", "grow revenue", "sustainable growth".

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 2 840 tokens Open the sourcegithub.com analyzed 3 d ago

Scale a solopreneur business beyond solo operations.

As a process C 60/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedurePeople and hiringtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    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: 1. 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 60/100

    • 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
    • 30Running it twice. 12 mutating operations with no state check
    • 100Tools and files. No external tools needed
    • 100Steps. 63 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2840 tokens
    • low 11 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 8 example trigger phrases
    • +3Description length 497: enough signal without eating the budget
    • +4Structure: 22 headings
    • +3Step-by-step instructions: 63 items
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.