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felixrieseberg/claude-coach
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A skill your agent uses whenever you are reasoning about nutritional epidemiology, dietary guidelines, chronic disease prevention, or public health policy.
Install Meir J Stampfer
$ npx skills add K-Dense-AI/mimeographs --skill meir-j-stampfer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install K-Dense-AI/mimeographs meir-j-stampfer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .claude/skills && cp -r skills-src/mimeographs/meir-j-stampfer .claude/skills/meir-j-stampfer && rm -rf skills-srcUse ~/.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/
Install the "meir-j-stampfer" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/meir-j-stampfer into .claude/skills/meir-j-stampfer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meir-j-stampfer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/meir-j-stampferType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add K-Dense-AI/mimeographs --skill meir-j-stampfer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install K-Dense-AI/mimeographs meir-j-stampfer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .agents/skills && cp -r skills-src/mimeographs/meir-j-stampfer .agents/skills/meir-j-stampfer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "meir-j-stampfer" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/meir-j-stampfer into .agents/skills/meir-j-stampfer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meir-j-stampfer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add K-Dense-AI/mimeographs --skill meir-j-stampfer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install K-Dense-AI/mimeographs meir-j-stampfer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/mimeographs/meir-j-stampfer .cursor/skills/meir-j-stampfer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "meir-j-stampfer" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/meir-j-stampfer into .cursor/skills/meir-j-stampfer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meir-j-stampfer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/K-Dense-AI/mimeographs.git --path mimeographs/meir-j-stampfer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add K-Dense-AI/mimeographs --skill meir-j-stampfer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install K-Dense-AI/mimeographs meir-j-stampfer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/mimeographs/meir-j-stampfer .gemini/skills/meir-j-stampfer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "meir-j-stampfer" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/meir-j-stampfer into .gemini/skills/meir-j-stampfer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meir-j-stampfer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install K-Dense-AI/mimeographs meir-j-stampferInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add K-Dense-AI/mimeographs --skill meir-j-stampfer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .github/skills && cp -r skills-src/mimeographs/meir-j-stampfer .github/skills/meir-j-stampfer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "meir-j-stampfer" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/meir-j-stampfer into .github/skills/meir-j-stampfer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meir-j-stampfer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add K-Dense-AI/mimeographs --skill meir-j-stampfer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install K-Dense-AI/mimeographs meir-j-stampfer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/mimeographs/meir-j-stampfer .opencode/skills/meir-j-stampfer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "meir-j-stampfer" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/meir-j-stampfer into .opencode/skills/meir-j-stampfer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meir-j-stampfer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
meir-j-stampfer- GitHub stars
- 129
- Token cost
- ~1.7k tokens
- SKILL.md length
- 828 words
- Files
- 72 (incl. references)
- Skills in repo
- 60
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses whenever you are reasoning about nutritional epidemiology, dietary guidelines, chronic disease prevention, or public health policy.
- You are reasoning about nutritional epidemiology
- SKILL.md covers Core principles, How Meir J. Stampfer reasons, Applying the frameworks and Anti-patterns he pushes against, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Dietary guidelines
What it does
Meir J Stampfer is an agent skill from K-Dense-AI/mimeographs. Use this skill whenever you are reasoning about nutritional epidemiology, dietary guidelines, chronic disease prevention, or public health policy. It channels the thinking of Meir J. Stampfer, epidemiologist and nutrition expert at Harvard University. Trigger this skill when evaluating lifestyle factors, comparing observational data versus randomized controlled trials (RCTs), analyzing macronutrient substitutions, or assessing long-term health outcomes. Stampfer's approach is essential when users ask about "good"…
Its SKILL.md is about 1.7k 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 reasoning about nutritional epidemiology
- Dietary guidelines
- Chronic disease prevention
- Public health policy
Example prompts
- “s approach is essential when users ask about”
- “magic bullet”
- “/meir-j-stampfer”
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
Meir J Stampfer loads about 1.7k tokens when it runs, and up to ~6.3k if it reads all its reference files. Until then it costs about 171 tokens; SKILL.md has 828 words of instructions outside code blocks.
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). 828 words, ~1,695 tokens.
Download SKILL.mdSave it as
.claude/skills/meir-j-stampfer/SKILL.md (or your agent's skills folder). This skill also uses 71 other files; get the full folder from GitHub.- name
- meir-j-stampfer
- description
- Use this skill whenever you are reasoning about nutritional epidemiology, dietary guidelines, chronic disease prevention, or public health policy. It channels the thinking of Meir J. Stampfer, epidemiologist and nutrition expert at Harvard University. Trigger this skill when evaluating lifestyle factors, comparing observational data versus randomized controlled trials (RCTs), analyzing macronutrient substitutions, or assessing long-term health outcomes. Stampfer's approach is essential when users ask about "good" vs. "bad" foods, seek longevity advice, or need to interpret complex, population-level dietary data without falling for the "magic bullet" fallacy.
Thinking like Meir J. Stampfer
Meir J. Stampfer is a pioneering epidemiologist and nutrition researcher who fundamentally shifted how we evaluate diet and lifestyle. His thinking is defined by a pragmatic, population-level approach to chronic disease prevention. Rather than looking for isolated "superfoods" or waiting for impossible randomized controlled trials (RCTs), he evaluates long-term, cumulative lifestyle patterns using robust observational data.
The signature shape of his reasoning is relational and combinatorial. He never evaluates a nutrient in a vacuum; he always asks what it is replacing in the diet. He also recognizes that human behaviors cluster, meaning true health interventions require combining multiple low-risk lifestyle factors rather than seeking a single cure. Reach for this skill whenever you're analyzing dietary choices, public health guidelines, longevity protocols, or the validity of nutritional studies.
Core principles
- The Substitution Principle of Nutrition: Evaluate the healthfulness of foods and macronutrients based on what they replace in the diet, because in a calorie-stable diet, eating less of one thing means eating more of another.
- Combinatorial Lifestyle Evaluation: Adopt and evaluate lifestyle factors in combination, as behaviors naturally cluster and their compounded effects drive primary prevention.
- Actionable Observational Data: Rely on the best available observational data for public health decisions, because waiting for perfect, long-term RCTs on primary prevention is both ethically and logistically impossible.
- Quality Over Quantity in Fats and Proteins: Focus on the specific sources and types of macronutrients (e.g., replacing saturated fats with unsaturated fats) rather than reducing total intake.
- Prioritize Prevention in Healthcare: Shift the focus of health policy from disease treatment to primary prevention, as the vast majority of chronic diseases are entirely preventable through lifestyle.
For detailed rationale and quotes, see references/principles.md.
How Meir J. Stampfer reasons
Stampfer's reasoning always starts with the question: "Compared to what?" When presented with a claim that a specific food or nutrient is "bad," he immediately reframes the problem around The Substitution Principle. He dismisses the binary categorization of foods, recognizing that the health impact of removing a food depends entirely on what fills the resulting caloric void.
He is highly skeptical of The Magic Bullet Fallacy, rejecting the public and scientific tendency to reduce complex health advice to a single mantra (like "fat is bad"). Instead, he emphasizes Quality over Quantity, looking at the specific composition of diets. When evaluating evidence, he actively pushes back against The Drug Trial Paradigm, arguing that the methods used to test short-term, single-chemical pharmaceuticals are fundamentally mismatched for studying complex, lifelong dietary patterns.
For a full list of his analytical lenses, see references/mental-models.md.
Applying the frameworks
5-Factor Low-Risk Lifestyle Score
Use this to assess an individual's or population's adherence to a life-extending healthy lifestyle.
- Steps: Evaluate diet quality (top 40%), smoking status (never smoked), physical activity (>= 30 mins/day moderate-to-vigorous), alcohol intake (moderate), and BMI (18.5 to 24.9). Sum the factors met to generate a score from 0 to 5, which strongly predicts mortality and disease risk.
Show full SKILL.md (339 more words)Show less
Isocaloric Substitution Modeling
Use this when analyzing the health effects of macronutrients to model real-world dietary swaps.
- Steps: Measure total energy intake and the percentage of energy derived from specific nutrients. Include these simultaneously in a multivariate model. Interpret the coefficients as the estimated effect of substituting a specific percentage of energy from one nutrient for another.
For the full catalog of his methodologies, see references/frameworks.md.
Anti-patterns he pushes against
- Relying Exclusively on RCTs: Waiting for megatrials to validate lifestyle interventions paralyzes public health, as many long-term dietary habits can never be tested in randomized trials due to logistical constraints.
- Recommending Generic Low-Fat Diets: Pushing low-fat, high-carbohydrate diets fails because replacing fats with carbohydrates often reduces beneficial HDL cholesterol and raises triglycerides.
- Ignoring the Substitution Principle: Failing to specify comparison foods when analyzing health impacts implicitly compares a food to the baseline diet, obscuring its true relative value.
- Basing Guidelines on Intermediate Markers: Relying on markers like total cholesterol instead of actual clinical endpoints (like mortality or disease incidence) leads to misleading dietary advice.
- Dismissing Self-Reported Dietary Data: Rejecting validated food-frequency questionnaires because they don't perfectly capture absolute energy intake ignores their proven ability to accurately rank individuals' intakes for etiologic analysis.
How to use this skill in conversation
When the user is asking about diet, longevity, or interpreting a new nutrition study, channel Stampfer's pragmatic, epidemiological lens. If they ask if a food is "healthy," immediately introduce the Substitution Principle by name and ask them what the alternative is. If they are looking for a single supplement or diet hack, gently correct them using the Combinatorial Lifestyle Evaluation principle, explaining that behaviors cluster and compound.
When discussing public health or study design, defend the use of robust observational data and the Cumulative Average Method over the unrealistic expectation of lifelong RCTs. Cite Stampfer's concepts directly (e.g., "Meir J. Stampfer frames this through the Substitution Principle...") to ground the advice in his epidemiological rigor. Do not pretend to be him; simply apply his frameworks to the user's specific context.
© 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/meir-j-stampfer 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_004.e584bd6c.json
- _workspace/distilled/src_009.e584bd6c.json
- _workspace/distilled/src_010.e584bd6c.json
- _workspace/distilled/src_011.e584bd6c.json
- … and 54 more
Open the folder on GitHubat commit a38f5fc
Compare with similar skills
Meir J Stampfer 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Meir J Stampfer this skillK-Dense-AI/mimeographs | 129 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Coachfelixrieseberg/claude-coach | 199 | 1 repos | ~4.9k | Automated safety check: Pass | MIT | |
| Fitness Analyzerhuifer/WellAlly-health | 960 | 5 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Master Ajahn Chahxr843/Master-skill | 447 | 1 repos | ~2k | Automated safety check: Pass | CC-BY-NC-SA-4.0 | |
| Mental Health Analyzerhuifer/WellAlly-health | 960 | 5 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Nutrition Analyzerhuifer/WellAlly-health | 960 | 5 repos | ~3.3k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Meir J Stampfer
What does Meir J Stampfer do?
A skill your agent uses whenever you are reasoning about nutritional epidemiology, dietary guidelines, chronic disease prevention, or public health policy. Meir J Stampfer is an agent skill from K-Dense-AI/mimeographs. Use this skill whenever you are reasoning about nutritional epidemiology, dietary guidelines, chronic disease prevention, or public health policy.
When should I use Meir J Stampfer?
Meir J Stampfer fits situations like: you are reasoning about nutritional epidemiology; dietary guidelines; chronic disease prevention; public health policy.
How do I install Meir J Stampfer in Claude Code?
Run `npx skills add K-Dense-AI/mimeographs --skill meir-j-stampfer -a claude-code`. Or copy the skill folder (mimeographs/meir-j-stampfer in K-Dense-AI/mimeographs) into .claude/skills/meir-j-stampfer in your project. Claude Code loads it when a task matches its description.
How do I install Meir J Stampfer in Codex?
Run `npx skills add K-Dense-AI/mimeographs --skill meir-j-stampfer -a codex`. Or copy the skill folder (mimeographs/meir-j-stampfer in K-Dense-AI/mimeographs) into .agents/skills/meir-j-stampfer in your project. Codex loads it when a task matches its description.
Can I use Meir J Stampfer 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 meir-j-stampfer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/meir-j-stampfer, .gemini/skills/meir-j-stampfer, .github/skills/meir-j-stampfer and .opencode/skills/meir-j-stampfer in your project.
What does Meir J Stampfer need to run?
SKILL.md names no scripts, command-line tools or credentials: Meir J Stampfer is instructions for the agent only.
Does Meir J Stampfer 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 Meir J Stampfer 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 Meir J Stampfer use?
Meir J Stampfer 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 Meir J Stampfer use?
About 1.7k tokens (SKILL.md is roughly 6.8k 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 4.6k tokens, read only when the agent opens those files.
What are the alternatives to Meir J Stampfer?
Skills that share tags, products or a category with Meir J Stampfer: 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 Meir J Stampfer?
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.