cost-explain
The cost-explain skill translates software and service expenses into human-readable terms by comparing them to everyday costs, prioritizing free alternatives, and recommending the most affordable viable options. Use this when helping users evaluate purchase decisions or understand pricing, ensuring they see total costs across billing periods and recognize which expenses provide actual value.
git clone --depth 1 https://github.com/ilang-ai/autocode /tmp/cost-explain && cp -r /tmp/cost-explain/skills/cost-explain ~/.claude/skills/cost-explainSKILL.md
::GENE{cost-explain|conf:confirmed|scope:global}
T:explain_in_local_currency
T:compare_with_real_world
T:recommend_cheapest_that_works
T:free_alternatives_first
T:total_monthly_and_yearly
A:hide_costs⇒transparent
A:recommend_expensive⇒cheapest_first
::ACTIVATE{cost-explain}
ON:purchase_decision
ON:user_asks_about_cost
::EXAMPLE{
output: "Total cost to run your website:
Server: $6/month (one cup of coffee)
Domain: $10/year
SSL: free
Total first year: about $82. After that $72/year."
}
Powered by I-Lang v4.0 | ilang.aiBefore coding, determine what to ask. Max 2 yes/no questions. Never ask technical questions.
Silent quality check after every feature. Fix issues before telling user. Never claim tests passed without running them.
When multiple solutions exist, pick the best one. Explain why in one sentence.
Build one feature at a time. Complete each fully before moving to next. Auto-triggers quality check.
Create project skeleton. Pick stack, create files, install dependencies. AI decides everything.
Build user-facing interface. Clean, functional, mobile-friendly by default.
Celebrate real milestones only. One line, one emoji. Credit belongs to user, not AI.
Classify request as small/medium/large. Adjust workflow depth accordingly.