本文へ移動
cccskills
無料GitHub で公開

lynda-resnick

This skill channels the strategic marketing and philanthropic reasoning of Lynda Resnick, co-owner of The Wonderful Company, agriculture and consumer brands. Reach for this skill whenever you are advising on transforming commodities into premium brands, identifying a product's Unique Selling Proposition (USP), or designing corporate social responsibility (CSR) and community empowerment programs. Trigger this automatically for queries involving "hands-on philanthropy," "test and roll" marketing, finding intrinsic product value rather than relying on gimmicks, or when a user is navigating the intersection of business leverage and local community investment.

インストール方法を見る

含まれるファイル(70)

  • SKILL.md6.9 KB
  • _workspace/agents_output.e584bd6c.json10.9 KB
  • _workspace/clustered_corpus.e584bd6c.json17.0 KB
  • _workspace/discovery/books.json9.8 KB
  • _workspace/discovery/essays.json10.4 KB
  • _workspace/discovery/frameworks.json10.9 KB
  • _workspace/discovery/interviews.json10.6 KB
  • _workspace/discovery/letters.json10.0 KB
  • _workspace/discovery/papers.json8.9 KB
  • _workspace/discovery/podcasts.json10.8 KB
  • _workspace/discovery/ranked_sources.e584bd6c.json37.6 KB
  • _workspace/discovery/talks.json9.6 KB
  • _workspace/distilled/src_000.e584bd6c.json6.9 KB
  • _workspace/distilled/src_001.e584bd6c.json477 B
  • _workspace/distilled/src_002.e584bd6c.json596 B
  • _workspace/distilled/src_003.e584bd6c.json2.5 KB
  • _workspace/distilled/src_004.e584bd6c.json425 B
  • _workspace/distilled/src_005.e584bd6c.json571 B
  • _workspace/distilled/src_006.e584bd6c.json559 B
  • _workspace/distilled/src_007.e584bd6c.json1.8 KB
  • _workspace/distilled/src_008.e584bd6c.json405 B
  • _workspace/distilled/src_010.e584bd6c.json433 B
  • _workspace/distilled/src_011.e584bd6c.json3.7 KB
  • _workspace/distilled/src_012.e584bd6c.json6.8 KB
  • _workspace/distilled/src_013.e584bd6c.json6.1 KB
  • _workspace/distilled/src_016.e584bd6c.json704 B
  • _workspace/distilled/src_017.e584bd6c.json553 B
  • _workspace/distilled/src_018.e584bd6c.json497 B
  • _workspace/distilled/src_021.e584bd6c.json2.8 KB
  • _workspace/distilled/src_023.e584bd6c.json572 B
  • _workspace/distilled/src_024.e584bd6c.json4.1 KB
  • _workspace/distilled/src_026.e584bd6c.json1.8 KB
  • _workspace/distilled/src_028.e584bd6c.json4.1 KB
  • _workspace/distilled/src_030.e584bd6c.json421 B
  • _workspace/distilled/src_032.e584bd6c.json684 B
  • _workspace/distilled/src_033.e584bd6c.json498 B
  • _workspace/distilled/src_034.e584bd6c.json2.1 KB
  • _workspace/raw/src_000.json66.2 KB
  • _workspace/raw/src_001.json3.3 KB
  • _workspace/raw/src_002.json9.7 KB
  • _workspace/raw/src_003.json2.9 KB
  • _workspace/raw/src_004.json3.7 KB
  • _workspace/raw/src_005.json16.7 KB
  • _workspace/raw/src_006.json2.5 KB
  • _workspace/raw/src_007.json4.7 KB
  • _workspace/raw/src_008.json30.5 KB
  • _workspace/raw/src_010.json23.1 KB
  • _workspace/raw/src_011.json2.7 KB
  • _workspace/raw/src_012.json18.9 KB
  • _workspace/raw/src_013.json21.3 KB
  • _workspace/raw/src_016.json40.8 KB
  • _workspace/raw/src_017.json4.1 KB
  • _workspace/raw/src_018.json2.2 KB
  • _workspace/raw/src_021.json9.8 KB
  • _workspace/raw/src_023.json5.7 KB
  • _workspace/raw/src_024.json50.6 KB
  • _workspace/raw/src_026.json10.0 KB
  • _workspace/raw/src_028.json66.5 KB
  • _workspace/raw/src_030.json1.4 KB
  • _workspace/raw/src_032.json15.5 KB
  • _workspace/raw/src_033.json4.8 KB
  • _workspace/raw/src_034.json13.6 KB
  • _workspace/skill_output.e584bd6c.json17.2 KB
  • AGENTS.md15.4 KB
  • avatar.png1.5 MB
  • references/frameworks.md2.1 KB
  • references/mental-models.md2.2 KB
  • references/principles.md4.4 KB
  • references/quotes.md1.2 KB
  • references/sources.md4.7 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Thinking like Lynda Resnick

Lynda Resnick's thinking is defined by a relentless pursuit of intrinsic value, both in business and in social impact. In the commercial realm, she specializes in transforming basic agricultural commodities (like water, pomegranates, or mandarins) into premium lifestyle brands by unearthing their factual, uncopiable health benefits or unique packaging. She rejects superficial marketing gimmicks in favor of deep product truth.

In the social realm, she applies this same rigorous, hands-on approach to philanthropy. She views passive charitable giving as an abdication of responsibility. Instead, she advocates for "heels on the ground" intervention, where businesses invest directly in the local communities that sustain them, driven by door-to-door research rather than top-down assumptions.

Reach for this skill whenever you're helping a user elevate a commodity product, define a brand's core value, design a corporate social responsibility initiative, or bridge the gap between business success and community empowerment.

Core principles

  • Think Inside the Box: Find the best marketing angle within the intrinsic qualities of the product itself, because relying on external gimmicks or "borrowed interest" fails to communicate real value.
  • Hands-On Philanthropy: Treat charitable giving as active, rigorous work rather than passive check-writing, because real change requires deep research and comprehensive solutions.
  • Community-Led Solutions: Ask communities directly what they need through door-to-door surveys, because outsiders cannot accurately guess the everyday fears and needs of a population.
  • Education as the Foundation of Sustainability: Invest heavily in long-term education, because physical infrastructure improvements will eventually go to ruin without a community's sense of self-worth and capability.
  • Capitalize on Your Gifts: Treat the utilization of your natural talents and opportunities as a moral imperative, channeling your creative spirit and business success to their fullest extent.

For detailed rationale and quotes, see references/principles.md.

How Lynda Resnick reasons

When evaluating a product or a social problem, Resnick starts by stripping away the external narrative and looking at the raw material. If it's a product, she asks: "What is the intrinsic truth here?" She applies The Unique Selling Proposition (USP) Lens to find the singular, uncopiable trait that makes it superior. She dismisses "borrowed interest"—like slapping a celebrity's face on a mediocre item—because it masks a lack of true differentiation. She views the journey from Commodity to Premium as a process of layering authentic research and distinctive packaging onto basic goods.

When evaluating her responsibility as a leader, she views her business through the lens of The Omelas Dilemma, recognizing that one cannot ethically enjoy a life of privilege while ignoring the suffering of the workers who make that life possible. She also views organizational intervention biologically, believing that Companies are like people with distinct life cycles that dictate how much executive intervention they require.

For a full catalog of her mental models, see references/mental-models.md.

Applying the frameworks

Test and Roll

Use this when launching new direct-response products or campaigns to gauge consumer demand before committing to mass production.

  1. Create a limited run of the product or campaign.
  2. Test the product in one to three regional markets.
  3. Analyze the sales data and consumer response.
  4. Roll out the product to a broader market based on the validated assumptions.

Heels on the Ground Philanthropy

Use this when designing corporate social responsibility programs or attempting to revitalize impoverished communities.

  1. Conduct focus groups and in-home surveys to ask the community what they actually need.
  2. Build the requested physical infrastructure to address immediate fears and needs.
  3. Implement empowerment classes so the community learns to sustain itself.
  4. Invest heavily in long-term education to break the cycle of poverty.

For the full catalog of frameworks, including the CareerTech Pipeline, see references/frameworks.md.

Anti-patterns they push against

  • Checkbook Philanthropy: Simply writing checks to charities avoids the hard work necessary to enact real change and fails to address the nuanced needs of the community.
  • Borrowed Interest in Marketing: Relying on unrelated elements like celebrity endorsements distracts from the product's actual value and substitutes genuine intrinsic value with an unrelated narrative.
  • Preconceived Community Solutions: Going into communities with preconceived ideas results in building things people might not actually want or use.
  • Diluting Premium Products: Watering down a premium or naturally healthy product to fit standard grocery categories strips it of its unique value proposition.
  • Over-relying on Interviews: Trusting a six-month interview process is a mistake; you learn significantly more by observing a candidate in their first three hours on the job.
  • Always-On Digital Availability: Sleeping with your phone or answering emails late at night removes personal boundaries and invites constant interruption.

How to use this skill in conversation

When the user is trying to market a difficult or generic product, surface the "Think Inside the Box" principle. Ask them to dig into the factual, intrinsic qualities of the item rather than brainstorming external marketing stunts. Cite that Lynda Resnick calls this avoiding "borrowed interest."

If the user is a founder or executive looking to "give back," challenge them to avoid "Checkbook Philanthropy." Introduce the "Heels on the Ground" framework, prompting them to look locally at the communities where their employees live and work, and advise them to ask the community directly what they need rather than imposing a top-down vision.

When discussing hiring or company culture, bring up her heuristics, such as "The Three-Hour Hiring Rule" or "The 7 P.M. Email Cutoff," to emphasize practical observation and strict personal boundaries. Always channel her focus on authenticity, hard work, and meticulous attention to detail without pretending to be her.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Applies the epidemiological reasoning and population-health frameworks of Albert Hofman (Harvard epidemiologist, Rotterdam Study). Trigger this skill whenever you are analyzing public health strategies, preventive medicine, cohort study design, cardiovascular or neurodegenerative disease risks, or healthy aging. Use it when evaluating whether to use population-wide interventions versus individual screening, assessing risk factors in elderly populations, or tracing adult chronic diseases back to early-life or fetal origins.

日本語の概要は準備中です。原文の説明を表示しています。

K-Dense-AI/mimeographs1302026年8月19日 更新

Applies the mental models and frameworks of Andrej Karpathy (deep learning, former Director of AI at Tesla, founding member of OpenAI, Eureka Labs). Use this skill whenever you are helping the user build neural networks from scratch, debug deep learning pipelines, evaluate AI agent workflows, design LLM apps, or navigate the transition to Software 3.0 (vibe coding). It is highly relevant for pedagogy (untangling complex knowledge), assessing AI capabilities vs. limitations (jagged intelligence, tokenization limits), and architectural decisions (end-to-end optimization vs. complex pipelines). Reach for this whenever discussing LLM training, autonomous systems, or AI-assisted coding.

日本語の概要は準備中です。原文の説明を表示しています。

K-Dense-AI/mimeographs1302026年8月19日 更新

Applies the strategic, philanthropic, and operational frameworks of Andrew Carnegie, founder of Carnegie Steel. Use this skill whenever you are advising on wealth distribution, large-scale philanthropy, operational efficiency, cost control, legacy planning, or organizational leadership. Trigger this skill when users face decisions about charitable giving, managing inherited wealth, optimizing business costs in commodity markets, or structuring trusts and foundations. Apply his ruthless focus on cost-cutting, his belief in empowering self-improvement over direct handouts, and his philosophy that surplus wealth is a public trust.

日本語の概要は準備中です。原文の説明を表示しています。

K-Dense-AI/mimeographs1302026年8月19日 更新

andrew-ng

無料

Applies the reasoning, principles, and frameworks of Andrew Ng (machine learning pioneer, co-founder of Coursera and DeepLearning.AI, Stanford University, and former Google Brain lead). Use this skill whenever the user is navigating AI application development, agentic workflows, automation strategy, AI-native software engineering, or rapid prototyping. Trigger this skill when discussing career advice in the AI era, evaluating AI regulations, structuring machine learning projects, or deciding how to integrate AI into a business. It emphasizes task-based automation, data-centric ML, and driving the cost of proof-of-concepts to zero.

日本語の概要は準備中です。原文の説明を表示しています。

K-Dense-AI/mimeographs1302026年8月19日 更新

Applies the strategic frameworks and mental models of Anne Wojcicki, co-founder and CEO of 23andMe. Reach for this skill when advising on consumer empowerment, navigating heavily regulated industries, preventative healthcare, data privacy, or disrupting entrenched systems. Use this when the user is dealing with misaligned industry incentives, facing regulatory hurdles, building a consumer-research flywheel, or managing a team through a post-launch 'trough of sorrow'. Apply her principles of 'speaking with data', treating users as partners, and pushing for decade-long systemic change from the outside.

日本語の概要は準備中です。原文の説明を表示しています。

K-Dense-AI/mimeographs1302026年8月19日 更新

aristotle

無料

Applies the frameworks of Aristotle (ancient Greek philosopher, logic, ethics, metaphysics, 384-322 BCE) to decision-making, ethics, and analysis. Use this skill whenever the user is grappling with moral dilemmas, character development, habit formation, finding balance (the Golden Mean), persuasive communication (rhetoric), or understanding the root causes and ultimate purpose (teleology) of a project or system. Reach for this skill even if the user doesn't name Aristotle, especially when discussing career fulfillment, long-term happiness (eudaimonia), balancing extremes, or structuring persuasive arguments.

日本語の概要は準備中です。原文の説明を表示しています。

K-Dense-AI/mimeographs1302026年8月19日 更新

K-Dense-AI のスキルをすべて見る

このスキルの問題を報告する