futurepedia-prompt-engineering

The Expert Anchor System - 3-step framework for transforming generic AI outputs into expert-level, personalized execution through systematic knowledge extraction and context synthesis

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Repositório: Farrice/mes-knowledge-base
Última atividade na origem: 18 de julho de 2026 às 14:51
Idioma detectado do SKILL.md: inglês
Estrelas: 0
Forks: 1

Opções de instalação

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Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

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npx skills add https://github.com/Farrice/mes-knowledge-base --skill futurepedia-prompt-engineering

O comando permanece em uma só linha. Role horizontalmente para revisá-lo antes de copiar.

Prefere uma cópia local? Baixe os arquivos disponíveis atualmente no SkillsMP.

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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

Ver todas deste repositório

Futurepedia Prompt Engineering

Transform every AI conversation from generic average to expert-level through systematic framework extraction, context capture, and meta-prompt synthesis. Futurepedia reverse-engineered WHY AI gives generic advice (prediction engines find the most likely/average response) and created a 3-step system that forces AI to operate from expert frameworks + personalized context, eliminating the "looks impressive but useless" phenomenon. Core Insight: The problem isn't your prompt words—it's that AI

Available Workflows

Workflow

Produces

Use When

expert

Expert Knowledge Synthesis Engine

Validated Expert Research Notebook and Strategic Synthesis Report

You need to transform raw, unverified data into a high-fidelity, expert-grounded knowledge base.

multi

Multi-Format Content Factory

Integrated Content Distribution Suite (Slides, Infographics, Video Scripts)

You have a core concept or research base that needs to be deployed across multiple visual and digital channels.

interactive

Interactive Learning Ecosystem Design

Adaptive Study System and Persona-Driven Learning Environment

You want to create a personalized educational experience or a specialized internal training system.

custom

Custom AI Solution Architect

Deployable Custom GPT/Gem Specification and Use Case Roadmap

You need to build a permanent AI tool or discover high-leverage opportunities for AI automation within a workflow.

ecosystem

Recursive Prompt Ecosystem Architect

Justified, folder-structured prompt ecosystem with per-prompt ROI blocks, reasoning-architecture selection, and a plan-mode gate

You need a whole SUITE of deployment-ready prompts (not one), with ROI justification, the right reasoning framework per task, and calibrated parameters.

panel

Emotional Expert-Panel Prompt Suite

Layered, expertise-tagged suite of 3-5 complementary prompts forming a coherent emotional journey

The prompt's success depends on emotional resonance and multi-expert layering, and you want a complementary suite (task/open/constraint) rather than a single prompt.

Quick Reference

Genius Context: genius.md — load before any workflow

Legacy Prompts: references/_legacy-prompts/ — archived atomic prompts

Execution Prompts (structure-pure v2)

18 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.

FUTUREPEDIA - RESEARCH NOTEBOOK ARCHITECTURE — skills/futurepedia-prompt-engineering/references/prompts-v2/prompt_01_research_notebook_architecture.md

FUTUREPEDIA - SOURCE VALIDATION PROTOCOL — skills/futurepedia-prompt-engineering/references/prompts-v2/prompt_02_source_validation_protocol.md

FUTUREPEDIA - MULTI-FORMAT CONTENT MULTIPLICATION — skills/futurepedia-prompt-engineering/references/prompts-v2/prompt_03_content_multiplication.md

FUTUREPEDIA - CUSTOM GEM ARCHITECTURE — skills/futurepedia-prompt-engineering/references/prompts-v2/prompt_04_custom_gem_architecture.md

FUTUREPEDIA - CREATIVE USE CASE DISCOVERY — skills/futurepedia-prompt-engineering/references/prompts-v2/prompt_05_creative_use_case_discovery.md

FUTUREPEDIA - AUDIO/VIDEO OVERVIEW OPTIMIZATION — skills/futurepedia-prompt-engineering/references/prompts-v2/prompt_06_audio_video_optimization.md

FUTUREPEDIA - DEEP RESEARCH SYNTHESIS — skills/futurepedia-prompt-engineering/references/prompts-v2/prompt_07_deep_research_synthesis.md

FUTUREPEDIA - INFOGRAPHIC DESIGN MASTERY — skills/futurepedia-prompt-engineering/references/prompts-v2/prompt_08_infographic_design_mastery.md

FUTUREPEDIA - STUDIO STYLE DIRECTION MASTERY — skills/futurepedia-prompt-engineering/references/prompts-v2/prompt_08_studio_style_direction_mastery.md

FUTUREPEDIA - DYNAMIC SOURCE SCOPING — skills/futurepedia-prompt-engineering/references/prompts-v2/prompt_09_dynamic_source_scoping.md

FUTUREPEDIA - STRATEGIC SLIDE DECK PRODUCTION — skills/futurepedia-prompt-engineering/references/prompts-v2/prompt_09_strategic_slide_deck.md

FUTUREPEDIA - INTERACTIVE AUDIO LEARNING PROTOCOL — skills/futurepedia-prompt-engineering/references/prompts-v2/prompt_10_interactive_audio_learning.md

FUTUREPEDIA - NOTEBOOK CHAT PERSONA ENGINEERING — skills/futurepedia-prompt-engineering/references/prompts-v2/prompt_10_notebook_chat_persona_engineering.md

FUTUREPEDIA - NOTEBOOK ECOSYSTEM ARCHITECTURE — skills/futurepedia-prompt-engineering/references/prompts-v2/prompt_11_notebook_ecosystem_architecture.md