AC business-idea-generator
A complete end-to-end business idea generation system that takes a market segment and produces: (1) a structured niche breakdown across Health, Wealth, and Relationships markets, (2) Reddit/social media research queries to uncover real pain points, (3) market gap analysis with multi-framework solution generation, and (4) a ready-to-use landing page prompt built with BAB copywriting. Use this skill whenever the user wants to generate business ideas, explore market niches, find product opportunities, validate pain points, brainstorm SaaS/digital product ideas, or create landing page copy for a new business. Also trigger when the user mentions "market research", "niche ideas", "business opportunity", "product idea", "side hustle", "startup idea", "pain points", or asks "what business should I build".
As a process C 62/100 · Has gaps — weak spots: result and completion, consistency, progress reporting
How to improve
- 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: 4. 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 62/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 40Consistency. Frontmatter name (business-idea-generator) differs from the folder (market-idea-expander)
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Failures and branches. 5 branches
- 100Steps. 29 steps
- 100Execution cost. Instruction body is 1327 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 808: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 8 example trigger phrases
- +4Structure: 12 headings
- +3Step-by-step instructions: 29 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.