Karpathy Guidelines
alirezarezvani/ClaudeForge
Behavioral guardrails for LLM-assisted coding. An agent skill from alirezarezvani/ClaudeForge.
This skill channels the strategic thinking of Mark Zuckerberg, co-founder and CEO of Meta.
$ npx skills add K-Dense-AI/mimeographs --skill mark-zuckerberg -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install K-Dense-AI/mimeographs mark-zuckerberg --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/mark-zuckerberg .claude/skills/mark-zuckerberg && 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 "mark-zuckerberg" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/mark-zuckerberg into .claude/skills/mark-zuckerberg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mark-zuckerberg", 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/mark-zuckerbergType 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 mark-zuckerberg -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install K-Dense-AI/mimeographs mark-zuckerberg --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/mark-zuckerberg .agents/skills/mark-zuckerberg && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mark-zuckerberg" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/mark-zuckerberg into .agents/skills/mark-zuckerberg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mark-zuckerberg", 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 mark-zuckerberg -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install K-Dense-AI/mimeographs mark-zuckerberg --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/mark-zuckerberg .cursor/skills/mark-zuckerberg && 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 "mark-zuckerberg" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/mark-zuckerberg into .cursor/skills/mark-zuckerberg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mark-zuckerberg", 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/mark-zuckerberg--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 mark-zuckerberg -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install K-Dense-AI/mimeographs mark-zuckerberg --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/mark-zuckerberg .gemini/skills/mark-zuckerberg && 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 "mark-zuckerberg" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/mark-zuckerberg into .gemini/skills/mark-zuckerberg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mark-zuckerberg", 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 mark-zuckerbergInstalls 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 mark-zuckerberg -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/mark-zuckerberg .github/skills/mark-zuckerberg && 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 "mark-zuckerberg" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/mark-zuckerberg into .github/skills/mark-zuckerberg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mark-zuckerberg", 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 mark-zuckerberg -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 mark-zuckerberg --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/mark-zuckerberg .opencode/skills/mark-zuckerberg && 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 "mark-zuckerberg" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/mark-zuckerberg into .opencode/skills/mark-zuckerberg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mark-zuckerberg", 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.
mark-zuckerbergThis skill channels the strategic thinking of Mark Zuckerberg, co-founder and CEO of Meta.
Mark Zuckerberg is an agent skill from K-Dense-AI/mimeographs. This skill channels the strategic thinking of Mark Zuckerberg, co-founder and CEO of Meta. Reach for this skill whenever the user is navigating rapid product iteration, scaling social platforms, open-source AI strategy, content moderation trade-offs, or long-term organizational management. It is highly effective for scenarios involving "The Hacker Way" (rapid prototyping), building community, handling intense public criticism, or deciding between open vs. closed ecosystems. Use this skill to apply his frameworks…
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 Development, covering Prototyping and LLM guardrails. 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.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit a38f5fc. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Mark Zuckerberg loads about 1.4k tokens when it runs, and up to ~5.5k if it reads all its reference files. Until then it costs about 169 tokens; SKILL.md has 696 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.
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.
The full file from K-Dense-AI/mimeographs at commit a38f5fc, republished under its MIT licence (© K-Dense-AI). 696 words, ~1,379 tokens.
.claude/skills/mark-zuckerberg/SKILL.md (or your agent's skills folder). This skill also uses 71 other files; get the full folder from GitHub.Mark Zuckerberg's thinking is characterized by a relentless focus on long-term utility, rapid iteration, and massive scale. He views technology not as an end in itself, but as infrastructure for human connection and community building. His strategic approach often involves making massive, multi-year bets on future platforms (like the Metaverse or open-source AI) while relying on a highly decentralized, hacker-driven culture to figure out the immediate steps to get there.
Reach for this skill whenever you're advising on product-market fit at scale, navigating the trade-offs of open vs. closed systems, designing company culture and values, or managing an organization through intense public scrutiny.
For detailed rationale and quotes, see references/principles.md.
Zuckerberg reasons by looking at the longest possible time horizon and working backward to the immediate prototype. He prioritizes utility over "coolness" and believes that solving physical world problems is often best done by improving digital infrastructure (Bits vs. Atoms). When evaluating products, he focuses on "Time Well Spent vs. Time Spent," prioritizing meaningful interactions over passive consumption, even if it hurts short-term metrics.
During crises, his reasoning shifts into "Wartime CEO" mode, where he abandons consensus-building in favor of rapid, unilateral decisions to ensure survival. He manages his own attention carefully, aware of "The Eye of Sauron" effect, where intense leadership scrutiny can burn out a team. For a full catalog of his mental models, see references/mental-models.md.
When to use: The user is stuck debating a product feature or trying to perfect a release.
When to use: The user is struggling with execution and agility in a growing organization.
For more frameworks, including Precision vs. Recall Moderation Tuning and Progressive Model Integration, see references/frameworks.md.
When the user is facing a situation involving scale, iteration, or platform strategy, surface the relevant principle or framework by name. Apply it directly to their context and cite where the idea comes from (e.g., "Mark Zuckerberg calls this the Alternate Universe Hiring Test, which means...").
Do not impersonate Zuckerberg or speak in the first person. Instead, channel his analytical, long-term, and utility-driven perspective. If the user is stuck in analysis paralysis, push them toward "The Hacker Way." If they are struggling with company culture, introduce the concept of "Debatable Values."
© 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
SKILL.md and 71 other files (references) in mimeographs/mark-zuckerberg of K-Dense-AI/mimeographs.
Open the folder on GitHubat commit a38f5fc
Mark Zuckerberg 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 |
|---|---|---|---|---|---|---|
| Mark Zuckerberg this skillK-Dense-AI/mimeographs | 129 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Karpathy Guidelinesalirezarezvani/ClaudeForge | 429 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Auto HarnessPacificStudio/openase | 268 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Existing Repoalinaqi/maggy | 707 | — | ~4k | Automated safety check: Notes | MIT | |
| Figma Policy Guardrailsjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2k | Automated safety check: Notes | MIT | |
| Common Agent GuardrailsHoangNguyen0403/agent-skills-standard | 572 | — | ~1k | Automated safety check: Notes | MIT |
alirezarezvani/ClaudeForge
Behavioral guardrails for LLM-assisted coding. An agent skill from alirezarezvani/ClaudeForge.
PacificStudio/openase
Diagnose and strengthen a repository's harness layer: AGENTS.md rules, knowledge layout, architecture boundaries, lint and type gates, API and generated-client contracts, test scaffolding…
alinaqi/maggy
Analyze existing repositories, maintain structure, setup guardrails and best practices
jeremylongshore/tons-of-skills-marketplace
Enforce security policies and coding standards for Figma API integrations.
HoangNguyen0403/agent-skills-standard
Define deterministic guardrails for agent tool calls — protected paths, test-file locks during bug fixes, post-edit formatters, production approval gates, secret deny rules.
fossasia/eventyay-interpretation
Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute.
K-Dense-AI/mimeographs
Applies the epidemiological reasoning and population-health frameworks of Albert Hofman (Harvard epidemiologist, Rotterdam Study).
K-Dense-AI/mimeographs
Applies the strategic, philanthropic, and operational frameworks of Andrew Carnegie, founder of Carnegie Steel.
K-Dense-AI/mimeographs
Applies the strategic frameworks and mental models of Anne Wojcicki, co-founder and CEO of 23andMe.
K-Dense-AI/mimeographs
Applies the frameworks of Aristotle (ancient Greek philosopher, logic, ethics, metaphysics, 384-322 BCE) to decision-making, ethics, and analysis.
K-Dense-AI/mimeographs
Applies the computational biology and AI-driven reasoning of Aviv Regev (computational biologist, Genentech, single-cell genomics).
K-Dense-AI/mimeographs
Apply the mental models of Bill Gates, co-founder of Microsoft and philanthropist.
Categories
This skill channels the strategic thinking of Mark Zuckerberg, co-founder and CEO of Meta. Mark Zuckerberg is an agent skill from K-Dense-AI/mimeographs. This skill channels the strategic thinking of Mark Zuckerberg, co-founder and CEO of Meta.
Mark Zuckerberg fits situations like: apply his frameworks on decentralized testing; small group context sharing; progressive AI integration; even if the user doesnt explicitly mention his name.
Run `npx skills add K-Dense-AI/mimeographs --skill mark-zuckerberg -a claude-code`. Or copy the skill folder (mimeographs/mark-zuckerberg in K-Dense-AI/mimeographs) into .claude/skills/mark-zuckerberg in your project. Claude Code loads it when a task matches its description.
Run `npx skills add K-Dense-AI/mimeographs --skill mark-zuckerberg -a codex`. Or copy the skill folder (mimeographs/mark-zuckerberg in K-Dense-AI/mimeographs) into .agents/skills/mark-zuckerberg in your project. Codex loads it when a task matches its description.
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 mark-zuckerberg -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mark-zuckerberg, .gemini/skills/mark-zuckerberg, .github/skills/mark-zuckerberg and .opencode/skills/mark-zuckerberg in your project.
SKILL.md names no scripts, command-line tools or credentials: Mark Zuckerberg is instructions for the agent only.
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.
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.
Mark Zuckerberg is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.5k 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 4.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Mark Zuckerberg: Karpathy Guidelines (alirezarezvani/ClaudeForge, 429 stars), Auto Harness (PacificStudio/openase, 268 stars), Existing Repo (alinaqi/maggy, 707 stars) and Figma Policy Guardrails (jeremylongshore/tons-of-skills-marketplace, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.