القائمة
Answer Engine Optimization — RAG citation mechanics, experimental methodology, AEO strategy architecture
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/Farrice/mes-knowledge-base --skill ethan-smith-aeo-answer-engine-optimizationيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
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.
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).
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.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | Ethan Smith — AEO (Answer Engine Optimization) |
| description | Answer Engine Optimization — RAG citation mechanics, experimental methodology, AEO strategy architecture |
| version | 2.0 |
| format | completion-engine |
| workflows | 3 |
Core Thesis: AEO is not a new channel — it's a summarization layer on top of search. The game shifted from winning a single blue link to maximizing citation frequency across the RAG retrieval corpus. Traditional SEO compounds into AEO; it doesn't reset.
| # | Workflow | Produces | Use When |
|---|---|---|---|
| aeo | AEO Strategic Visibility Audit | A comprehensive AEO Roadmap including a longtail question database, citation gap analysis, and current share-of-voice benchmarks. | You need to establish a baseline for AI engine visibility and identify the highest-value opportunities for citation growth. |
| aeo | AEO Content Weaponization Plan | An execution-ready content plan featuring information-gain audits, help center optimization tasks, and a Reddit-specific citation strategy. | You have existing content or support assets and need to optimize them to become the primary citation source for RAG-based answer engines. |
| aeo | AEO Experimental Validation Framework | A rigorous AEO Experiment Design document and a filtered analysis of industry claims to ensure data-driven decision making. | You are evaluating new AEO tactics or need to prove the ROI of AEO efforts through controlled, reproducible testing. |
9 deterministic practitioner prompts — each carries an Output Contract, Output Skeleton, and Quality Gate. When a deliverable matches one, Read it and honor its contract instead of improvising the output shape.
skills/ethan-smith-aeo/references/prompts-v2/aeo-brand-teardown-case-study.mdskills/ethan-smith-aeo/references/prompts-v2/aeo-experiment-designer.mdskills/ethan-smith-aeo/references/prompts-v2/aeo-misinformation-filter.mdskills/ethan-smith-aeo/references/prompts-v2/aeo-question-research.mdskills/ethan-smith-aeo/references/prompts-v2/citation-landscape-mapper.mdskills/ethan-smith-aeo/references/prompts-v2/content-information-gain-audit.mdskills/ethan-smith-aeo/references/prompts-v2/help-center-weaponizer.mdskills/ethan-smith-aeo/references/prompts-v2/reddit-citation-strategy.mdskills/ethan-smith-aeo/references/prompts-v2/share-of-voice-tracker.md