Coach
felixrieseberg/claude-coach
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Applies the nutritional epidemiology and public health frameworks of Frank B.
Install Frank B Hu
$ npx skills add K-Dense-AI/mimeographs --skill frank-b-hu -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install K-Dense-AI/mimeographs frank-b-hu --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/frank-b-hu .claude/skills/frank-b-hu && 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 "frank-b-hu" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/frank-b-hu into .claude/skills/frank-b-hu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frank-b-hu", 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/frank-b-huType 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 frank-b-hu -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install K-Dense-AI/mimeographs frank-b-hu --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/frank-b-hu .agents/skills/frank-b-hu && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "frank-b-hu" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/frank-b-hu into .agents/skills/frank-b-hu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frank-b-hu", 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 frank-b-hu -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install K-Dense-AI/mimeographs frank-b-hu --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/frank-b-hu .cursor/skills/frank-b-hu && 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 "frank-b-hu" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/frank-b-hu into .cursor/skills/frank-b-hu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frank-b-hu", 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/frank-b-hu--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 frank-b-hu -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install K-Dense-AI/mimeographs frank-b-hu --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/frank-b-hu .gemini/skills/frank-b-hu && 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 "frank-b-hu" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/frank-b-hu into .gemini/skills/frank-b-hu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frank-b-hu", 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 frank-b-huInstalls 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 frank-b-hu -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/frank-b-hu .github/skills/frank-b-hu && 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 "frank-b-hu" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/frank-b-hu into .github/skills/frank-b-hu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frank-b-hu", 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 frank-b-hu -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 frank-b-hu --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/frank-b-hu .opencode/skills/frank-b-hu && 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 "frank-b-hu" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/frank-b-hu into .opencode/skills/frank-b-hu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frank-b-hu", 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
frank-b-hu- GitHub stars
- 129
- Token cost
- ~1.6k tokens
- SKILL.md length
- 764 words
- Files
- 72 (incl. references)
- Skills in repo
- 60
- Repo updated
- First seen
- Licence
- MIT
At a glance
Applies the nutritional epidemiology and public health frameworks of Frank B.
- Reasoning about diet quality
- SKILL.md covers Core principles, How Frank B. Hu 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
- Public health policy
What it does
Frank B Hu is an agent skill from K-Dense-AI/mimeographs. Applies the nutritional epidemiology and public health frameworks of Frank B. Hu (nutrition epidemiologist, Harvard University). Use this skill whenever reasoning about diet quality, public health policy, planetary health, cardiometabolic disease prevention, or evaluating nutritional studies. Trigger this when the user asks about plant-based diets, macronutrient trade-offs ("compared to what?"), the impact of the food environment, or lifestyle factors for longevity. It shifts the AI's focus from single-nutrient…
Its SKILL.md is about 1.6k 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
- Reasoning about diet quality
- Public health policy
- Planetary health
- Cardiometabolic disease prevention
Example prompts
- “compared to what?”
- “zip code is more important than genetic code”
- “Use the frank-b-hu skill to apply the nutritional epidemiology and public health frameworks of Frank B”
- “/frank-b-hu”
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
Frank B Hu loads about 1.6k tokens when it runs, and up to ~5.5k if it reads all its reference files. Until then it costs about 175 tokens; SKILL.md has 764 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). 764 words, ~1,577 tokens.
Download SKILL.mdSave it as
.claude/skills/frank-b-hu/SKILL.md (or your agent's skills folder). This skill also uses 71 other files; get the full folder from GitHub.- name
- frank-b-hu
- description
- Applies the nutritional epidemiology and public health frameworks of Frank B. Hu (nutrition epidemiologist, Harvard University). Use this skill whenever reasoning about diet quality, public health policy, planetary health, cardiometabolic disease prevention, or evaluating nutritional studies. Trigger this when the user asks about plant-based diets, macronutrient trade-offs ("compared to what?"), the impact of the food environment, or lifestyle factors for longevity. It shifts the AI's focus from single-nutrient reductionism to overall dietary patterns, emphasizing that "zip code is more important than genetic code" and that human health is inextricably linked to planetary health.
Thinking like Frank B. Hu
Frank B. Hu's thinking fundamentally shifts the lens of nutrition from isolated biochemical components to complex, real-world systems. As a nutrition epidemiologist, he recognizes that humans eat meals, not single nutrients, and that these dietary patterns interact synergistically to influence chronic disease risk. His approach bridges the gap between molecular biology, population health, and environmental sustainability.
Crucially, his reasoning extends beyond the plate. He views the modern food landscape as a "toxic obesogenic environment" where individual willpower is vastly outmatched by systemic forces, necessitating policy-level interventions. Reach for this skill whenever you're evaluating dietary advice, analyzing public health policies, discussing plant-based diets, or exploring the intersection of human longevity and planetary health.
Core principles
- Always Ask 'Compared to What?': The health effect of a food or nutrient can only be understood by looking at what it replaces in the diet, because dietary trade-offs drive metabolic outcomes.
- Focus on Overall Dietary Patterns: Nutritional epidemiology should examine the effects of the overall diet rather than just individual nutrients, because single components are difficult to isolate and fail to capture complex synergistic interactions.
- Not All Plant-Based Diets Are Healthy: Plant-based diets must be evaluated on their nutritional quality, not just the absence of animal products, because highly processed plant foods can increase chronic disease risk.
- Policy Over Individual Behavior: Individual behavior change is insufficient without policy intervention, because education cannot overcome an obesogenic environment dominated by cheap, ultra-processed foods.
- Human Health and Planetary Health are Interconnected: What is good for human longevity is generally good for the health of the planet, because traditional, plant-forward dietary patterns simultaneously reduce disease risk and environmental degradation.
For detailed rationale and quotes, see references/principles.md.
How Frank B. Hu reasons
When presented with a nutritional claim or public health challenge, Hu first zooms out to the systemic level. He immediately discards single-nutrient reductionism—the idea that isolating a specific fat or carbohydrate will yield meaningful health insights. Instead, he asks about the Dietary Trade-off: if a population reduces their intake of saturated fat, what are they replacing it with? If the answer is refined carbohydrates, he expects no health benefit.
He also evaluates foods as The Whole Package, looking at the complete matrix of nutrients and bioactive compounds rather than reducing them to their macronutrient labels. When addressing population health, he applies the Zip Code over Genetic Code mental model, recognizing that a person's local environment and food system dictate how their genes are expressed, having a far greater impact on health than genetics alone.
For a complete list of his mental models, see references/mental-models.md.
Applying the frameworks
Dietary Pattern Factor Analysis
Use this when evaluating how a specific population eats and how it correlates to disease. Instead of tracking single nutrients, group foods into empirical patterns (e.g., 'Prudent' vs. 'Western') to capture the cumulative, synergistic effects of real-world eating habits on chronic disease risk.
Show full SKILL.md (283 more words)Show less
EAT-Lancet Commission Systems Approach
Use this when discussing global food systems or sustainability. First, define a healthy reference diet for human longevity. Second, define planetary boundaries (greenhouse gas emissions, land/water use). Finally, apply global systems modeling to find the intersection where dietary recommendations satisfy both human and planetary health.
See references/frameworks.md for the full catalog.
Anti-patterns they push against
- Single-Nutrient Reductionism: Evaluating diets by isolating individual nutrients ignores complicated interactions and fails to capture the broader picture of food consumption.
- Equating 'Plant-Based' with 'Healthy': Assuming a diet is healthy simply because it lacks animal products ignores the metabolic dangers of refined grains, sweets, and ultra-processed plant foods.
- Relying Solely on Individual Education: Believing that label-reading and willpower can solve obesity ignores the systemic toxicity of the modern food environment.
- Statistical Methods Contradicting Biology: Forcing metabolic variables to be uncorrelated in statistical models when biological theory dictates they share a common underlying process produces artifacts, not reality.
How to use this skill in conversation
When the user asks about nutrition, diets, or public health, channel Hu's epidemiological perspective. If the user asks if a specific food (like butter or carbs) is "bad," immediately introduce the principle of "Always Ask 'Compared to What?'" and explain the concept of macronutrient substitution.
If the user is discussing plant-based diets or sustainability, surface the "Not All Plant-Based Diets Are Healthy" principle and the "EAT-Lancet Commission Systems Approach" to emphasize diet quality and planetary boundaries. Name the concepts directly (e.g., "Frank B. Hu refers to this as evaluating 'The Whole Package'"), and apply them to the user's specific question. Avoid pretending to be Hu; instead, use his frameworks to elevate the rigor and systemic awareness of the AI's reasoning.
© 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/frank-b-hu 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_001.e584bd6c.json
- _workspace/distilled/src_002.e584bd6c.json
- _workspace/distilled/src_004.e584bd6c.json
- _workspace/distilled/src_005.e584bd6c.json
- … and 54 more
Open the folder on GitHubat commit a38f5fc
Compare with similar skills
Frank B Hu 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 |
|---|---|---|---|---|---|---|
| Frank B Hu this skillK-Dense-AI/mimeographs | 129 | — | ~1.6k | 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 Frank B Hu
What does Frank B Hu do?
Applies the nutritional epidemiology and public health frameworks of Frank B. Frank B Hu is an agent skill from K-Dense-AI/mimeographs. Applies the nutritional epidemiology and public health frameworks of Frank B.
When should I use Frank B Hu?
Frank B Hu fits situations like: reasoning about diet quality; public health policy; planetary health; cardiometabolic disease prevention.
How do I install Frank B Hu in Claude Code?
Run `npx skills add K-Dense-AI/mimeographs --skill frank-b-hu -a claude-code`. Or copy the skill folder (mimeographs/frank-b-hu in K-Dense-AI/mimeographs) into .claude/skills/frank-b-hu in your project. Claude Code loads it when a task matches its description.
How do I install Frank B Hu in Codex?
Run `npx skills add K-Dense-AI/mimeographs --skill frank-b-hu -a codex`. Or copy the skill folder (mimeographs/frank-b-hu in K-Dense-AI/mimeographs) into .agents/skills/frank-b-hu in your project. Codex loads it when a task matches its description.
Can I use Frank B Hu 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 frank-b-hu -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/frank-b-hu, .gemini/skills/frank-b-hu, .github/skills/frank-b-hu and .opencode/skills/frank-b-hu in your project.
What does Frank B Hu need to run?
SKILL.md names no scripts, command-line tools or credentials: Frank B Hu is instructions for the agent only.
Does Frank B Hu 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 Frank B Hu 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 Frank B Hu use?
Frank B Hu 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 Frank B Hu use?
About 1.6k tokens (SKILL.md is roughly 6.3k 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 3.9k tokens, read only when the agent opens those files.
What are the alternatives to Frank B Hu?
Skills that share tags, products or a category with Frank B Hu: 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 Frank B Hu?
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.