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SkillsMP は Farrice/mes-knowledge-base から 1,793 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
Farrice/mes-knowledge-base収集済み skill 1,793 件中 40 件を表示しています。
Master the Go Direct philosophy and narrative architecture system used to shape billion-dollar company narratives. Deploy elite communications frameworks for founder-led PR, cultural positioning, and attention-to-value conversion.
原文の言語: 英語
Transform any idea into a sticky message using the SUCCESs framework - Simple, Unexpected, Concrete, Credible, Emotional, Stories
原文の言語: 英語
Manus.ai McKinsey-level consulting system: competitive intelligence, budget estimation, growth mapping, and AI-powered strategic research
原文の言語: 英語
Deploy Marc Andreessen's frameworks for AI economic impact analysis, workforce transformation, company redefinition, and technology-driven prosperity thesis.
原文の言語: 英語
The complete zero-to-multi-million digital product system — research-first validation, outcome selling, value-based pricing, MVP velocity, trust-based audience building, and high-conversion sales optimization
原文の言語: 英語
Architect and orchestrate AI agent teams using Mark Kashef's specialized workflows for sequential handoffs, parallel synthesis, and hybrid grunt-to-architect models.
原文の言語: 英語
Build multi-agent AI councils for decision-making that eliminate sycophancy through opposing perspectives, shared reasoning, and structured debate
原文の言語: 英語
AI-powered image generation via multi-agent orchestration using the PaperBanana framework + Gemini 3 Pro API
原文の言語: 英語
Build a personal AI assistant that bridges any messaging platform to your existing Codex infrastructure via Anthropic's Agent SDK subprocess pattern — zero dual-entry, full capability access from your phone
原文の言語: 英語
ASCII wireframe-first visual planning system that aligns human vision with AI execution before any production work begins
原文の言語: 英語
Advanced trend spotting and keyword intent analysis system. Uses Agentic Research to replicate the 'unfair advantage' of paid tools like Ahrefs and Google Trends.
原文の言語: 英語
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or…
原文の言語: 英語
/meg-50ms-gate — fast pass/fail visual clarity gate: focal-point count, 5-word test, conceptual interrupt check, one removal directive.
原文の言語: 英語
/meg-aov-architect — raise AOV via catalog cohesion + shipping arbitrage — buy-together concept families BEFORE upsell apps. AOV is where the margin lives.
原文の言語: 英語
/meg-avatar-bridge — convert sub-identity dossiers into Luke Iha avatar-machine seed material — behavioral moments → pain matrix, pride → core wound adjacency.
原文の言語: 英語
/meg-concept-sprint — generate N mirror-only product concepts: behavioral-moment buyer, familiar/twist pair, layered emotion, future social moment, recognition lead line.
原文の言語: 英語
/meg-design-handoff — convert a LEAD concept into trigger-grounded generation prompts + composition/typography briefs (Satori/Kittl/fantastic-posters handoff).
原文の言語: 英語
/meg-factory-loop — install the 5-step operating cadence: generate, test (48h paid), scale-or-cut by data, email 2-3x/week, repeat. Volume math included.
原文の言語: 英語
/meg-funnel-doctor — stage-isolated funnel diagnosis from 6 metrics — one question, one failing stage, one fix. Mockup swap before ad-account blame.
原文の言語: 英語
Purchase-trigger psychology for physical/visual products from the operator behind Sloth Hiking Club — the layer where the PRODUCT ITSELF is the conversion mechanism. 16 genius patterns and 12 workflows spanning her 4-layer system: market selection (saturation…
原文の言語: 英語
/meg-listing-copy — emotion-first product listing: recognition lead → identity → bridge → social moment → logic last. The feeling first, the buyer's reason second.
原文の言語: 英語
/meg-store-stack — trigger-led store architecture: collections as identity claims, cart-stage trust stack, mobile CTA audit — handed to BitBranding for build.
原文の言語: 英語
/meg-sub-identity-map — find the ignored person inside a 'saturated' niche — saturation reframe, billboard test, belonging evidence, buildable sub-identity dossier.
原文の言語: 英語
/meg-trigger-audit — score any design/product/concept on the 10-criterion Heckman rubric — kill/revise/lead verdicts + one revision directive each. 'Nice doesn't open the wallet.
原文の言語: 英語
/meg-trigger-transfer — apply the 6 buyer triggers to non-apparel surfaces: offers, headlines, landing pages, hooks. The context changes, the psychology does not.
原文の言語: 英語
Merch OS — the Meg Heckman operating system for apparel/POD/product brands. Brand-in → launch-out: GROUND (sub-identity) → CONCEPT (sprint) → SCORE (trigger audit) → LISTING (copy + design handoff) → LAUNCH (channel plan) → DIAGNOSE (metrics instrumentation).…
原文の言語: 英語
Identity engineering and communication mastery frameworks for transforming prospect self-concept and taking control of any conversation
原文の言語: 英語
Deploy the writing craft behind 42 novels and 100M+ copies sold — telling detail selection, momentum prose, character-through-everything, subtext dialogue, outsider perspective, dual-pass rewriting, dialogue economy, slingshot openings, real-world anchoring,…
原文の言語: 英語
Mike Foutia's universal market intelligence engine — turns data from ANY source (SEO, social, reviews, marketplaces) into deployable ad briefs and internal tool blueprints. Use for cross-platform trend analysis, ad-brief generation from research, and low-code…
原文の言語: 英語
Theme-driven storytelling mastery from Mitch Albom's 45+ years of craft refinement. 31 practitioner prompts for fiction, content creation, copywriting, and commercial writing.
原文の言語: 英語
Monk.Ai's tiered AI consulting offer + sales architecture — 3-tier service structures, multi-stakeholder enterprise sales, proposal engineering, client ascension. Use when building or restructuring an AI consulting service ladder, or navigating a complex…
原文の言語: 英語
AI agent deployment strategy — specification engineering, risk containment, progressive delegation, and organizational readiness
原文の言語: 英語
Transform human judgment into competitive advantage in the AI age through systematic taste development, differential calibration, and quality gatekeeping
原文の言語: 英語
Designs, deploys, and safeguards self-improving agent systems using Nate B. Jones''s adaptation of the Karpathy loop to business harnesses (not training code). Covers triplet definition, readiness audit, trace infrastructure, emergent affordances, safety…
原文の言語: 英語
Architects memory and context systems for agentic systems using Nate B. Jones''s TurboQuant-informed methodology — PolarQuant + QJL compression, H2O/SnapKV eviction strategies, sovereign persistent memory, and self-decaying context. Treats the context window…
原文の言語: 英語
Design AI agents that reliably understand and execute user intent through explicit intent documentation, disambiguation protocols, and interpretation-execution separation
原文の言語: 英語
Designs, audits, and optimizes multi-agent orchestration using Nate B. Jones''s DPVI pattern (Decompose → Parallelize → Verify → Iterate) — the convergence architecture independently arrived at by Anthropic, Google DeepMind, OpenAI, and Cursor. Treats harness…
原文の言語: 英語
Zero-Trust Agentic Architecture & Systemic Hallucination Defense
原文の言語: 英語
Acquire AI workflow clients without an audience by leveraging asymmetric trust partnerships and validation-first outreach.
原文の言語: 英語
AI SEO domination system - operate at the retrieval layer where AI engines cite sources, not just the visibility layer
原文の言語: 英語