Agent skill

Walter C Willett

by K-Dense-AI in K-Dense-AI/mimeographs

This skill channels the reasoning of Walter C. An agent skill from K-Dense-AI/mimeographs.

MITAuto-check passedProductivity & Automation

Install Walter C Willett

skills CLI
$ npx skills add K-Dense-AI/mimeographs --skill walter-c-willett -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install K-Dense-AI/mimeographs walter-c-willett --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .claude/skills && cp -r skills-src/mimeographs/walter-c-willett .claude/skills/walter-c-willett && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
walter-c-willett
GitHub stars
129
Token cost
~1.8k tokens
SKILL.md length
873 words
Files
72 (incl. references)
Skills in repo
60
Repo updated
First seen
Licence
MIT

At a glance

This skill channels the reasoning of Walter C. An agent skill from K-Dense-AI/mimeographs.

  • You are asked to evaluate diets
  • SKILL.md covers Core principles, How Walter C. Willett reasons, Applying the frameworks and Anti-patterns they push against, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Give nutritional advice

What it does

Walter C Willett is an agent skill from K-Dense-AI/mimeographs. This skill channels the reasoning of Walter C. Willett, nutrition epidemiologist at Harvard University. Use this skill whenever you are asked to evaluate diets, give nutritional advice, critique food policy, or discuss the environmental impact of food systems. Trigger this skill for topics like macronutrient quality (fats vs. carbs), plant-based diets, the health impacts of red meat or dairy, seed oils, epidemiological methodology, and planetary health. Apply his frameworks to shift focus from macronutrient…

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 74 other files, including reference files (for example `AGENTS.md`, `_workspace/agents_output.e584bd6c.json` and `_workspace/clustered_corpus.e584bd6c.json`).

It sits in Productivity & Automation, covering Health and fitness tracking. The repository describes itself as: Ready-to-use agent skills that clone the thinking of founders, philosophers, and scientists into your agent. Generated with K-Dense-AI/mimeo. The licence is MIT.

When your agent uses it

  • You are asked to evaluate diets
  • Give nutritional advice
  • Critique food policy
  • Discuss the environmental impact of food systems

Example prompts

  • “Compared to what?”
  • “/walter-c-willett”

What it can do on your machine

Read from SKILL.md and the folder at commit a38f5fc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Walter C Willett loads about 1.8k tokens when it runs, and up to ~6.1k if it reads all its reference files. Until then it costs about 166 tokens; SKILL.md has 873 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~166
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from K-Dense-AI/mimeographs at commit a38f5fc, republished under its MIT licence (© K-Dense-AI). 873 words, ~1,761 tokens.

Download SKILL.mdSave it as .claude/skills/walter-c-willett/SKILL.md (or your agent's skills folder). This skill also uses 71 other files; get the full folder from GitHub.
name
walter-c-willett
description
This skill channels the reasoning of Walter C. Willett, nutrition epidemiologist at Harvard University. Use this skill whenever you are asked to evaluate diets, give nutritional advice, critique food policy, or discuss the environmental impact of food systems. Trigger this skill for topics like macronutrient quality (fats vs. carbs), plant-based diets, the health impacts of red meat or dairy, seed oils, epidemiological methodology, and planetary health. Apply his frameworks to shift focus from macronutrient quantity to quality, evaluate foods using the 'Compared to what?' rule, and prioritize public health over personalized nutrition fads.

Thinking like Walter C. Willett

Walter C. Willett is a pioneering nutrition epidemiologist who fundamentally shifted how we understand the relationship between diet, chronic disease, and the environment. His signature thinking moves away from reductionist, single-nutrient metrics (like "low-fat" or "low-carb") and focuses intensely on the quality and source of macronutrients. He views human nutrition not in a vacuum, but as a complex system inextricably linked to planetary boundaries and long-term epidemiological data.

Reach for this skill whenever you're evaluating dietary guidelines, analyzing the health impacts of specific foods (like red meat, dairy, or seed oils), discussing food policy, or exploring the intersection of human health and climate change.

Core principles

  • Macronutrient Quality Over Quantity: Evaluate diets based on the specific types of fats and carbohydrates consumed (e.g., unsaturated fats and whole grains) rather than their total caloric percentage, because replacing healthy fats with refined carbs worsens metabolic health.
  • Plant-Forward Protein Shift: Prioritize replacing red meat with poultry, fish, nuts, and legumes, as this substitution simultaneously lowers chronic disease risk and drastically reduces greenhouse gas emissions.
  • Planetary Health and Environmental Limits: Treat dietary choices as global, moral issues; a healthy diet must be primarily plant-based to stay within planetary boundaries and mitigate climate change.
  • Triangulating Epidemiological Evidence: Base nutritional conclusions on a combination of long-term prospective cohort studies and short-term randomized controlled feeding trials, rather than relying on flawed, decades-long RCTs.
  • Public Health Policy Over Personalized Nutrition: Focus on broad cultural and policy shifts (taxes, subsidies) rather than individualized precision medicine, because systemic changes are the most effective way to make healthy choices the default.

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

How Walter C. Willett reasons

Willett's reasoning always starts with a baseline question: Compared to what? Because human caloric intake is tightly regulated, eating less of one food inevitably means eating more of another. He refuses to evaluate a food in isolation. If someone asks if saturated fat is bad, he evaluates what it is replacing (it is neutral compared to refined carbs, but harmful compared to polyunsaturated fats).

He emphasizes looking at the whole Protein Package—judging a protein source by the fats, fiber, and micronutrients that come along for the ride. He dismisses reductionist labels like "ultra-processed" as distractions, preferring to look at the actual biochemical impact of the food, such as how intact whole grains act as a Time-Release Capsule for glucose compared to refined starches.

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

Applying the frameworks

The Harvard Healthy Eating Plate

When to use: Designing or critiquing a balanced meal for an individual, especially as a scientifically sound alternative to industry-influenced government guidelines. Steps: Cover half the plate with vegetables and fruits (excluding potatoes). Fill one-quarter with whole, intact grains. Fill one-quarter with healthy proteins (fish, poultry, beans, nuts). Use healthy plant oils in moderation. Drink water, coffee, or tea, completely skipping sugary drinks and limiting dairy to one or two servings.

Show full SKILL.md (384 more words)Show less
EAT-Lancet Commission Methodology

When to use: Designing or evaluating food systems and policies on a global or national scale. Steps: First, define a healthy diet using the best available epidemiological evidence. Second, define planetary boundaries (limits on water, land use, greenhouse gases). Third, determine what dietary patterns fit within those boundaries to sustainably feed the global population. Finally, develop strategies to implement this shift.

For more frameworks, including the Alternate Healthy Eating Index (AHEI), see references/frameworks.md.

Anti-patterns they push against

  • The Low-Fat Diet Fallacy: Advising people to reduce total fat intake; this historically led to replacing healthy plant oils with refined carbohydrates and sugar, devastating metabolic health.
  • Treating All Carbohydrates Equally: Failing to distinguish between whole grains and highly processed carbohydrates or potatoes, which act similarly to sugar in the body.
  • Demonizing Seed Oils: Believing omega-6 polyunsaturated fatty acids are pro-inflammatory; clinical evidence shows they reduce LDL cholesterol and do not increase inflammation.
  • Using "Ultra-Processed" as the Sole Metric: Relying on the "ultra-processed" label to determine healthiness, which creates false positives (whole grain bread) and false negatives (excessive red meat).
  • Over-Consuming Dairy for Bone Health: Pushing high milk consumption to prevent fractures; studies show it doesn't lower fracture risk later in life but does carry massive environmental and caloric costs.
  • Seeking "Superfoods" for Immunity: Mega-dosing single nutrients; the immune system needs a complete set of essential nutrients, best achieved through a balanced diet and a basic multivitamin as nutritional insurance.

How to use this skill in conversation

When a user asks for dietary advice, wants to understand the health impact of a specific food, or discusses food policy, channel Willett's epidemiological lens.

Instead of just saying a food is "good" or "bad," immediately apply the "Compared to what?" mental model. If the user asks about reducing meat, surface the "Plant-Forward Protein Shift" principle and explicitly mention replacing it with nuts, beans, or poultry. When discussing carbohydrates or fats, shift the conversation from quantity to quality, citing the "Harvard Healthy Eating Plate."

Always weave in the environmental impact of food choices if applicable, referencing the "Planetary Health" principle. Cite where the ideas come from (e.g., "Walter C. Willett frames this as the 'Protein Package'"), but do not pretend to be him. Provide clear, evidence-based guidance that triangulates long-term health outcomes with practical, sustainable eating habits.

© K-Dense-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 71 other files (references) in mimeographs/walter-c-willett of K-Dense-AI/mimeographs.

  • SKILL.md
  • AGENTS.md
  • _workspace/agents_output.e584bd6c.json
  • _workspace/clustered_corpus.e584bd6c.json
  • _workspace/discovery/books.json
  • _workspace/discovery/essays.json
  • _workspace/discovery/frameworks.json
  • _workspace/discovery/interviews.json
  • _workspace/discovery/letters.json
  • _workspace/discovery/papers.json
  • _workspace/discovery/podcasts.json
  • _workspace/discovery/ranked_sources.e584bd6c.json
  • _workspace/discovery/talks.json
  • _workspace/distilled/src_000.e584bd6c.json
  • _workspace/distilled/src_003.e584bd6c.json
  • _workspace/distilled/src_005.e584bd6c.json
  • _workspace/distilled/src_006.e584bd6c.json
  • _workspace/distilled/src_010.e584bd6c.json
  • … and 54 more

Open the folder on GitHubat commit a38f5fc

Compare with similar skills

Walter C Willett next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Walter C Willett compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Walter C Willett this skillK-Dense-AI/mimeographs129—~1.8kAutomated safety check: PassMIT
Coachfelixrieseberg/claude-coach1991 repos~4.9kAutomated safety check: PassMIT
Fitness Analyzerhuifer/WellAlly-health9605 repos~1.3kAutomated safety check: PassMIT
Master Ajahn Chahxr843/Master-skill4471 repos~2kAutomated safety check: PassCC-BY-NC-SA-4.0
Mental Health Analyzerhuifer/WellAlly-health9605 repos~3.2kAutomated safety check: PassMIT
Nutrition Analyzerhuifer/WellAlly-health9605 repos~3.3kAutomated safety check: PassMIT

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Questions about Walter C Willett

What does Walter C Willett do?

This skill channels the reasoning of Walter C. An agent skill from K-Dense-AI/mimeographs. Walter C Willett is an agent skill from K-Dense-AI/mimeographs. This skill channels the reasoning of Walter C.

When should I use Walter C Willett?

Walter C Willett fits situations like: you are asked to evaluate diets; give nutritional advice; critique food policy; discuss the environmental impact of food systems.

How do I install Walter C Willett in Claude Code?

Run `npx skills add K-Dense-AI/mimeographs --skill walter-c-willett -a claude-code`. Or copy the skill folder (mimeographs/walter-c-willett in K-Dense-AI/mimeographs) into .claude/skills/walter-c-willett in your project. Claude Code loads it when a task matches its description.

How do I install Walter C Willett in Codex?

Run `npx skills add K-Dense-AI/mimeographs --skill walter-c-willett -a codex`. Or copy the skill folder (mimeographs/walter-c-willett in K-Dense-AI/mimeographs) into .agents/skills/walter-c-willett in your project. Codex loads it when a task matches its description.

Can I use Walter C Willett in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add K-Dense-AI/mimeographs --skill walter-c-willett -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/walter-c-willett, .gemini/skills/walter-c-willett, .github/skills/walter-c-willett and .opencode/skills/walter-c-willett in your project.

What does Walter C Willett need to run?

SKILL.md names no scripts, command-line tools or credentials: Walter C Willett is instructions for the agent only.

Does Walter C Willett access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Walter C Willett safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Walter C Willett use?

Walter C Willett is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Walter C Willett use?

About 1.8k tokens (SKILL.md is roughly 7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.3k tokens, read only when the agent opens those files.

What are the alternatives to Walter C Willett?

Skills that share tags, products or a category with Walter C Willett: Coach (felixrieseberg/claude-coach, 199 stars), Fitness Analyzer (huifer/WellAlly-health, 960 stars), Master Ajahn Chah (xr843/Master-skill, 447 stars) and Mental Health Analyzer (huifer/WellAlly-health, 960 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Walter C Willett?

K-Dense-AI (a GitHub organization) maintains it in K-Dense-AI/mimeographs, which has 129 GitHub stars. The repository holds 60 skills in this directory. The repository was last updated on August 18, 2026.

Source: K-Dense-AI/mimeographs on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.