dan-koe-ai-leverage-methodology

Operates Dan Koe's AI-as-expansion-partner methodology — treats AI as a creative thinking amplifier rather than an output replacer, using context-loaded coaching (load your full creative context before generating), adversarial refinement (use AI to break your own ideas before publishing), and knowledge alchemy (turn books / podcasts / extracts into reusable AI-prompting building blocks). Use when the user is creating with AI but the output feels generic, building a personal-knowledge-management system that compounds with AI use, designing prompts that survive multiple model versions, or training the user's eye on the difference between AI-as-leverage and AI-as-crutch. Trigger proactively whenever the user says "AI output feels generic", "I want AI to think with me", "knowledge alchemy", "context-loaded prompts", or "Dan Koe". For AI affiliate-site building use darrel-wilson-ai-affiliate; for full AI-business architecture use the ai-brain pipeline.

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Repositorio: Farrice/mes-knowledge-base
Última actividad en el origen: 18 de julio de 2026 a las 05:38
Idioma detectado de SKILL.md: inglés
Estrellas: 0
Forks: 1

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npx skills add https://github.com/Farrice/mes-knowledge-base --skill dan-koe-ai-leverage-methodology

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SKILL.md

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generate

The /generate front door — in-house, pay-as-you-go creative generation (Higgsfield replacement). One command for image, video, and audio: routes each request to the right model recipe (skills/generate/models/*.json), defers to binding creative_router lanes (people → fal-people, style-family → fantastic-posters; Higgsfield fully retired 2026-08-06), quotes paid video before running, honors prompt-level budgets ("total budget $3"), runs comparison batches across models, logs every prompt beside its asset, and auto-refreshes the Asset Command Center (/assets-board). Use when the user says "generate", "make an image/video/voiceover", "create ads/assets/creative", names a model (recraft, kling, seedance, nano banana, gpt image), or asks for a multi-model comparison. Source: RoboNuggets 9C4TRbucmhQ, rebuilt on our fal-first stack.

2026-08-06

video-studio

The Edit Bay — in-house conversational video studio (VOX-style explainers, documentaries, shorts, LinkedIn video). Transcript-driven cutting, B-roll ladder, motion graphics as code, captions, music, publish-ready packages — all agent-operated, free-first. Use when Farrice says "edit this video/footage", "make an explainer/documentary/short", "cut this recording", "add B-roll/captions/music", "turn this essay/post into a video", or any video production ask. Front door for three modes: talking-head, VO-only, zero-camera (his recorded VO + assembled visuals — NO voice clone, NO TTS narration, his ruling 2026-08-06). Source: Brad Bonanno agentic edit pipeline (extractions/brad-bonanno-edit-bay/), rebuilt on the house stack: WhisperX local + edit_bay.py ffmpeg assembly + HyperFrames/Remotion graphics + /generate (fal) — NO Higgsfield (retired 2026-08-06).

2026-08-06

brad-bonanno-explainer-video-architecture

Architects technical explainer videos using Brad Bonanno's structural patterns — survives short attention spans, communicates complete systems (not just teasers), and functions as a channel-building artifact (one video pulls subscribers, not just views). Use when planning a long-form technical explainer (5-20 min) for YouTube, structuring an explanation of a complex system the user knows but can't teach yet, balancing depth vs accessibility for a technical audience, or building an evergreen video meant to compound subscriber growth over years rather than spike then die. Trigger proactively whenever the user says "explainer video", "technical explainer", "how do I explain X", "long-form YouTube", "evergreen video", or has a complex system that needs to land with a non-expert. For Instagram-format shareworthy content use brock-johnson-shareworthy-content; for short-form video patterns use a TikTok/Reels-specific skill.

2026-08-06

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name	Dan Koe - AI Leverage Methodology
description	Operates Dan Koe's AI-as-expansion-partner methodology — treats AI as a creative thinking amplifier rather than an output replacer, using context-loaded coaching (load your full creative context before generating), adversarial refinement (use AI to break your own ideas before publishing), and knowledge alchemy (turn books / podcasts / extracts into reusable AI-prompting building blocks). Use when the user is creating with AI but the output feels generic, building a personal-knowledge-management system that compounds with AI use, designing prompts that survive multiple model versions, or training the user's eye on the difference between AI-as-leverage and AI-as-crutch. Trigger proactively whenever the user says "AI output feels generic", "I want AI to think with me", "knowledge alchemy", "context-loaded prompts", or "Dan Koe". For AI affiliate-site building use darrel-wilson-ai-affiliate; for full AI-business architecture use the ai-brain pipeline.
version	2.0
format	completion-engine
workflows	4