dr-kriukow-ai-humanization

Humanizes AI-written prose using Dr. Kriukow's diagnostic-first methodology — structural unpredictability (varying sentence rhythm, paragraph weight, transition mechanics in ways AI defaults don't), detection-tool evasion patterns, and writing that survives algorithmic AI-prose detectors AND human "this feels AI" intuition. Use when AI-drafted content needs to pass GPTZero / Originality.ai / similar detectors before publication, content reads "technically fine but feels generated", a draft needs structural rhythm fixes (not just word swaps), or training the user's eye on the structural patterns that betray AI authorship. Trigger proactively whenever the user says "this sounds AI-generated", "humanize this", "AI detection", "Originality.ai", "GPTZero", or shares a draft that needs the AI fingerprint removed at structural level. For phrase-level AI-tell scrubbing (em-dashes, "Here's what" openers) use prose-check or slop-check; for the structural-tells ban list use the writers-room workflow.

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Repository: Farrice/mes-knowledge-base
Letzte Quellaktivität: 18. Juli 2026 um 05:57
Erkannte Sprache von SKILL.md: Englisch
Sterne: 0
Forks: 1

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.

Ein direkter Befehl überspringt den Prüf-Prompt. Prüfen Sie die Quelle, bevor Sie ihn ausführen.

npx skills add https://github.com/Farrice/mes-knowledge-base --skill dr-kriukow-ai-humanization

Der Befehl bleibt in einer Zeile. Scrollen Sie horizontal, um ihn vor dem Kopieren vollständig zu prüfen.

Sie bevorzugen eine lokale Kopie? Laden Sie die Dateien herunter, die SkillsMP derzeit vorliegen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

Datei-Explorer

21 Dateien

SKILL.md

Quellanweisungen · Schreibgeschützte Vorschau

Zurück zur Suche Zurück zur Installation

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

Alle aus diesem Repository ansehen

name	Dr. Kriukow AI Humanization
description	Humanizes AI-written prose using Dr. Kriukow's diagnostic-first methodology — structural unpredictability (varying sentence rhythm, paragraph weight, transition mechanics in ways AI defaults don't), detection-tool evasion patterns, and writing that survives algorithmic AI-prose detectors AND human "this feels AI" intuition. Use when AI-drafted content needs to pass GPTZero / Originality.ai / similar detectors before publication, content reads "technically fine but feels generated", a draft needs structural rhythm fixes (not just word swaps), or training the user's eye on the structural patterns that betray AI authorship. Trigger proactively whenever the user says "this sounds AI-generated", "humanize this", "AI detection", "Originality.ai", "GPTZero", or shares a draft that needs the AI fingerprint removed at structural level. For phrase-level AI-tell scrubbing (em-dashes, "Here's what" openers) use prose-check or slop-check; for the structural-tells ban list use the writers-room workflow.
version	2.0
format	completion-engine
workflows	2