Agent skill

Kay Tee Khaw

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

A skill your agent uses whenever you need to reason about public health, epidemiology, preventive medicine, healthy aging, longevity, lifestyle vs.

MITAuto-check passedProductivity & Automation

Install Kay Tee Khaw

skills CLI
$ npx skills add K-Dense-AI/mimeographs --skill kay-tee-khaw -a claude-code

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

GitHub CLI
$ gh skill install K-Dense-AI/mimeographs kay-tee-khaw --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/kay-tee-khaw .claude/skills/kay-tee-khaw && 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
kay-tee-khaw
GitHub stars
129
Token cost
~1.4k tokens
SKILL.md length
666 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 need to reason about public health, epidemiology, preventive medicine, healthy aging, longevity, lifestyle vs.

  • You need to reason about public health
  • SKILL.md covers Core principles, How Kay-Tee Khaw reasons, Applying the frameworks and Anti-patterns she pushes against, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Preventive medicine

What it does

Kay Tee Khaw is an agent skill from K-Dense-AI/mimeographs. Use this skill whenever you need to reason about public health, epidemiology, preventive medicine, healthy aging, longevity, lifestyle vs. genetics, or dietary patterns. Kay-Tee Khaw, an epidemiologist at the University of Cambridge, focuses on population health and how modest lifestyle changes impact chronic disease. Trigger this skill when evaluating health interventions, discussing longevity, analyzing real-world health data, or giving advice on diet and lifestyle. Apply her frameworks to shift focus from…

Its SKILL.md is about 1.4k 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 need to reason about public health
  • Preventive medicine
  • This skill when evaluating health interventions
  • Discussing longevity

Example prompts

  • “/kay-tee-khaw”

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

Kay Tee Khaw loads about 1.4k tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 166 tokens; SKILL.md has 666 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
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.3k

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). 666 words, ~1,398 tokens.

Download SKILL.mdSave it as .claude/skills/kay-tee-khaw/SKILL.md (or your agent's skills folder). This skill also uses 71 other files; get the full folder from GitHub.
name
kay-tee-khaw
description
Use this skill whenever you need to reason about public health, epidemiology, preventive medicine, healthy aging, longevity, lifestyle vs. genetics, or dietary patterns. Kay-Tee Khaw, an epidemiologist at the University of Cambridge, focuses on population health and how modest lifestyle changes impact chronic disease. Trigger this skill when evaluating health interventions, discussing longevity, analyzing real-world health data, or giving advice on diet and lifestyle. Apply her frameworks to shift focus from extreme interventions and isolated nutrients toward whole-food patterns, population-level risk shifts, and the compression of morbidity.

Thinking like Kay-Tee Khaw

Kay-Tee Khaw is an epidemiologist at the University of Cambridge whose work fundamentally shifts how we view public health, aging, and preventive medicine. Her signature shape of thinking moves away from extreme, individualized medical interventions and isolated nutrient analysis. Instead, she looks at the cumulative power of modest, everyday behaviors across entire populations. She views aging not as a battle against death, but as the postponement of chronic disability.

Reach for this skill whenever you're evaluating health data, discussing longevity and lifestyle changes, analyzing dietary patterns, or designing public health interventions.

Core principles

  • Modest Lifestyle Changes Overwhelm Genetics: Simple, everyday behaviors have a massive, measurable impact on mortality and can completely override genetic susceptibility to chronic conditions.
  • Dietary Patterns Over Single Nutrients: Dietary recommendations must focus on whole food patterns and matrices rather than isolating or demonizing single nutrients.
  • Aging as Postponement of Disability: The primary goal of aging research and intervention is compressing morbidity to the very end of life, rather than merely extending lifespan.
  • The Population Approach to Risk: Effective preventive medicine requires shifting the entire population's distribution of risk rather than just treating the high-risk extremes.
  • Embracing Imperfect Data in Human Studies: Human epidemiological studies require making sensible inferences from imperfect, real-world data, as human environments cannot be perfectly controlled.

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

How Kay-Tee Khaw reasons

Khaw evaluates health interventions by looking at the broader population curve rather than the extreme tails. When presented with a health risk, she asks how shifting the baseline for everyone yields better outcomes than aggressively treating the sickest few. She emphasizes the Health Trajectory Over the Life Course, recognizing that late-in-life changes still matter profoundly.

She dismisses reductionist approaches—like isolating a single vitamin or relying on expensive biological age tests—in favor of whole-food patterns and simple, subjective measures (like asking people how they feel or testing lung function). She frequently uses Biological Age Translation to make the impact of lifestyle factors tangible, and relies on The Population Approach to evaluate public health efficacy. For a full list of her mental models, see references/mental-models.md.

Applying the frameworks

Four Health Behaviors Score

When to use: Assessing the cumulative impact of feasible, everyday lifestyle changes on life expectancy. Score 1 point for each behavior: (1) Non-smoker, (2) Moderate alcohol drinker, (3) Not totally sedentary, (4) Consumes five servings of fruit and vegetables a day. A score of 4 compared to 0 equates to a 14-year difference in life expectancy.

For the full catalog, see references/frameworks.md.

Show full SKILL.md (246 more words)Show less

Anti-patterns she pushes against

  • Demonizing or Isolating Single Nutrients: Ignoring dietary interactions and biochemical profiles in favor of simplistic rules about single macronutrients.
  • Assuming Lifestyle Changes Must Be Extreme: Believing that health interventions must be drastic (like running marathons) to be effective, which discourages adoption.
  • Targeting Only the High-Risk Tail: Relying exclusively on clinical approaches that target only individuals with high levels of risk factors, missing the broader population.
  • Treating Human Studies Like Animal Studies: Expecting perfect control in human studies; humans exist in real-life environments that produce imperfect data requiring sensible inference.
  • Believing Expensive Biological Age Tests Are Necessary: Assuming complex blood tests are required to predict longevity when simple GP tests and self-reported health are often more accurate.

How to use this skill in conversation

When the user is asking for advice on longevity, diet, or evaluating a new health study, channel Khaw's epidemiological lens. Surface the relevant principle or framework by name (e.g., "Applying Kay-Tee Khaw's Population Approach...").

  • If the user is worried about genetics, remind them that modest lifestyle changes overwhelm genetic susceptibility.
  • If the user is fixated on a specific supplement or nutrient, pivot the conversation to dietary patterns and whole foods.
  • If the user is discussing aging, reframe the goal from extending lifespan to the postponement of chronic disability (compression of morbidity).

Always cite where the idea comes from. Do not pretend to be Kay-Tee Khaw; instead, apply her frameworks to the user's specific context to provide grounded, population-backed 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/kay-tee-khaw 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_004.e584bd6c.json
  • _workspace/distilled/src_007.e584bd6c.json
  • _workspace/distilled/src_008.e584bd6c.json
  • … and 54 more

Open the folder on GitHubat commit a38f5fc

Compare with similar skills

Kay Tee Khaw 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.

Kay Tee Khaw compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Kay Tee Khaw this skillK-Dense-AI/mimeographs129—~1.4kAutomated 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 Kay Tee Khaw

What does Kay Tee Khaw do?

A skill your agent uses whenever you need to reason about public health, epidemiology, preventive medicine, healthy aging, longevity, lifestyle vs. Kay Tee Khaw is an agent skill from K-Dense-AI/mimeographs. Use this skill whenever you need to reason about public health, epidemiology, preventive medicine, healthy aging, longevity, lifestyle vs.

When should I use Kay Tee Khaw?

Kay Tee Khaw fits situations like: you need to reason about public health; preventive medicine; this skill when evaluating health interventions; discussing longevity.

How do I install Kay Tee Khaw in Claude Code?

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

How do I install Kay Tee Khaw in Codex?

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

Can I use Kay Tee Khaw 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 kay-tee-khaw -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kay-tee-khaw, .gemini/skills/kay-tee-khaw, .github/skills/kay-tee-khaw and .opencode/skills/kay-tee-khaw in your project.

What does Kay Tee Khaw need to run?

SKILL.md names no scripts, command-line tools or credentials: Kay Tee Khaw is instructions for the agent only.

Does Kay Tee Khaw 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 Kay Tee Khaw 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 Kay Tee Khaw use?

Kay Tee Khaw 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 Kay Tee Khaw use?

About 1.4k tokens (SKILL.md is roughly 5.6k 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 Kay Tee Khaw?

Skills that share tags, products or a category with Kay Tee Khaw: 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 Kay Tee Khaw?

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.