revenuecast — turn a real-world capability into a self-demonstrating, high-throughput generative-AI revenue engine (the "Kleos" method). It is "/skillify for revenue": skillify turns a workflow into a tested skill; revenuecast turns a capability into a revenue engine whose own output IS the advertisement. The bstack-native composition of the 2026 "show-then-sell-the-system" creator loop (realosias, aivideoskool, GenHQ): Brand-Lock -> Show -> Distribute -> Hook -> Sell -> Moat, where the showcased output's desirability + accessibility-via-AI creates demand for the method, and you monetize the reproducible system. Composes content-engine (the factory), content-creation, blog-post, seo-llmeo, arcan-glass, social-intelligence, strategy-skills, and symphony/arcan (autonomous runtime). Its deterministic core (scripts/revenuecastcheck.py) gates an engine-instance manifest on the design canon — own-the-audience, a real moat (not leakable prompts), the compliance/survival pillar (FTC v. Air AI / EU AI Act Art.50 / NO FAKES), and the Ritual-vs-Substance rule (no "self-improving" claim without a built+measured mechanism). USE WHEN turn this expertise into content/revenue, content monetization playbook, sell the method that produced the proof, build a self-demonstrating AI content brand, capability-to-revenue-engine, faceless AI content business, Skool/Whop offer ladder, "revenuecast", "/revenuecast". NOT FOR packaging a workflow as a skill (use /skillify); ingesting an external artifact (use /checkit); a single blog post or one-off asset (use /blog-post or /content-creation directly).
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryGrowth & marketingStars0
About this skill
revenuecast — turn a real-world capability into a self-demonstrating, high-throughput generative-AI revenue engine (the "Kleos" method). It is "/skillify for revenue": skillify turns a workflow into a tested skill; revenuecast turns a capability into a revenue engine whose own output IS the advertisement. The bstack-native composition of the 2026 "show-then-sell-the-system" creator loop (realosias, aivideoskool, GenHQ): Brand-Lock -> Show -> Distribute -> Hook -> Sell -> Moat, where the showcased output's desirability + accessibility-via-AI creates demand for the method, and you monetize the reproducible system. Composes content-engine (the factory), content-creation, blog-post, seo-llmeo, arcan-glass, social-intelligence, strategy-skills, and symphony/arcan (autonomous runtime). Its deterministic core (scripts/revenuecastcheck.py) gates an engine-instance manifest on the design canon — own-the-audience, a real moat (not leakable prompts), the compliance/survival pillar (FTC v. Air AI / EU AI Act Art.50 / NO FAKES), and the Ritual-vs-Substance rule (no "self-improving" claim without a built+measured mechanism). USE WHEN turn this expertise into content/revenue, content monetization playbook, sell the method that produced the proof, build a self-demonstrating AI content brand, capability-to-revenue-engine, faceless AI content business, Skool/Whop offer ladder, "revenuecast", "/revenuecast". NOT FOR packaging a workflow as a skill (use /skillify); ingesting an external artifact (use /checkit); a single blog post or one-off asset (use /blog-post or /content-creation directly).
Quick start
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revenuecast — turn a real-world capability into a self-demonstrating, high-throughput generative-AI revenue engine (the "Kleos" method). It is "/skillify for revenue": skillify turns a workflow into a tested skill; revenuecast turns a capability into a revenue engine whose own output IS the advertisement. The bstack-native composition of the 2026 "show-then-sell-the-system" creator loop (realosias, aivideoskool, GenHQ): Brand-Lock -> Show -> Distribute -> Hook -> Sell -> Moat, where the showcased output's desirability + accessibility-via-AI creates demand for the method, and you monetize the reproducible system. Composes content-engine (the factory), content-creation, blog-post, seo-llmeo, arcan-glass, social-intelligence, strategy-skills, and symphony/arcan (autonomous runtime). Its deterministic core (scripts/revenuecast_check.py) gates an engine-instance manifest on the design canon — own-the-audience, a real moat (not leakable prompts), the compliance/survival pillar (FTC v. Air AI / EU AI Act Art.50 / NO FAKES), and the Ritual-vs-Substance rule (no "self-improving" claim without a built+measured mechanism). USE WHEN turn this expertise into content/revenue, content monetization playbook, sell the method that produced the proof, build a self-demonstrating AI content brand, capability-to-revenue-engine, faceless AI content business, Skool/Whop offer ladder, "revenuecast", "/revenuecast". NOT FOR packaging a workflow as a skill (use /skillify); ingesting an external artifact (use /checkit); a single blog post or one-off asset (use /blog-post or /content-creation directly).
About this listing
Category
Growth & marketing
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI