801 Regulations Eu AI Act
jabrena/plinth
A skill your agent uses when reviewing, designing, or modifying Java enterprise systems that use AI, LLMs, AI agents, RAG, tool calling, workflow automation, or model-based decision support and need…
Applies the reasoning, frameworks, and mental models of Fei-Fei Li, computer vision pioneer, ImageNet creator, and co-director of Stanford HAI.
Install Fei Fei Li
$ npx skills add K-Dense-AI/mimeo --skill fei-fei-li -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install K-Dense-AI/mimeo fei-fei-li --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/mimeo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/output/fei-fei-li .claude/skills/fei-fei-li && 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 "fei-fei-li" agent skill from https://github.com/K-Dense-AI/mimeo/tree/main/output/fei-fei-li into .claude/skills/fei-fei-li/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fei-fei-li", 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/mimeo/tree/main/output/fei-fei-liType 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/mimeo --skill fei-fei-li -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install K-Dense-AI/mimeo fei-fei-li --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/output/fei-fei-li .agents/skills/fei-fei-li && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "fei-fei-li" agent skill from https://github.com/K-Dense-AI/mimeo/tree/main/output/fei-fei-li into .agents/skills/fei-fei-li/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fei-fei-li", 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/mimeo --skill fei-fei-li -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install K-Dense-AI/mimeo fei-fei-li --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/output/fei-fei-li .cursor/skills/fei-fei-li && 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 "fei-fei-li" agent skill from https://github.com/K-Dense-AI/mimeo/tree/main/output/fei-fei-li into .cursor/skills/fei-fei-li/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fei-fei-li", 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/mimeo.git --path output/fei-fei-li--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/mimeo --skill fei-fei-li -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install K-Dense-AI/mimeo fei-fei-li --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/mimeo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/output/fei-fei-li .gemini/skills/fei-fei-li && 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 "fei-fei-li" agent skill from https://github.com/K-Dense-AI/mimeo/tree/main/output/fei-fei-li into .gemini/skills/fei-fei-li/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fei-fei-li", 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/mimeo fei-fei-liInstalls 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/mimeo --skill fei-fei-li -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeo.git skills-src && mkdir -p .github/skills && cp -r skills-src/output/fei-fei-li .github/skills/fei-fei-li && 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 "fei-fei-li" agent skill from https://github.com/K-Dense-AI/mimeo/tree/main/output/fei-fei-li into .github/skills/fei-fei-li/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fei-fei-li", 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/mimeo --skill fei-fei-li -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/mimeo fei-fei-li --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/output/fei-fei-li .opencode/skills/fei-fei-li && 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 "fei-fei-li" agent skill from https://github.com/K-Dense-AI/mimeo/tree/main/output/fei-fei-li into .opencode/skills/fei-fei-li/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fei-fei-li", 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
fei-fei-li- GitHub stars
- 282
- Token cost
- ~1.8k tokens
- SKILL.md length
- 892 words
- Files
- 10 (incl. references)
- Skills in repo
- 21
- Repo updated
- First seen
- Licence
- MIT
At a glance
Applies the reasoning, frameworks, and mental models of Fei-Fei Li, computer vision pioneer, ImageNet creator, and co-director of Stanford HAI.
- Works in 3 steps: Make the technology human-inspired by… → Anticipate impact by treating AI as a… → Change the design verb from "replace" to…
- Claude encounters topics related to AI ethics
- SKILL.md covers Core principles, How Fei-Fei Li reasons, Applying the frameworks and Anti-patterns she pushes against, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Fei Fei Li is an agent skill from K-Dense-AI/mimeo. Applies the reasoning, frameworks, and mental models of Fei-Fei Li, computer vision pioneer, ImageNet creator, and co-director of Stanford HAI. Use this skill whenever Claude encounters topics related to AI ethics, human-centered AI, spatial intelligence, embodied AI, robotics, AI governance, diversity in tech, or the societal impacts of AI. Trigger this skill when users face decisions about AI product design (augment vs. replace), dataset formulation, navigating AI regulation, or choosing audacious research…
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files (for example `AGENTS.md`, `references/anti-patterns.md` and `references/frameworks.md`).
It sits in Legal & Compliance, covering AI governance and Computer vision. The repository describes itself as: Mimeograph an expert into a SKILL.md or AGENTS.md for your agent. The licence is MIT.
When your agent uses it
- Claude encounters topics related to AI ethics
- Human-centered AI
- Spatial intelligence
- Diversity in tech
Example prompts
- “Use the fei-fei-li skill to apply the reasoning, frameworks, and mental models of Fei-Fei Li, computer vision pioneer, ImageNet creator, and…”
- “/fei-fei-li”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Make the technology human-inspired by cross-pollinating with cognitive/brain sciences.
- Anticipate impact by treating AI as a humanities and social science field.
- Change the design verb from "replace" to "augment and enhance."
What it can do on your machine
Read from SKILL.md and the folder at commit a4cea18. 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
Links to these hosts (documentation or services it may open):
arxiv.org
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
Fei Fei Li loads about 1.8k tokens when it runs, and up to ~8.2k if it reads all its reference files. Until then it costs about 159 tokens; SKILL.md has 892 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/mimeo at commit a4cea18, republished under its MIT licence (© K-Dense-AI). 892 words, ~1,750 tokens.
Download SKILL.mdSave it as
.claude/skills/fei-fei-li/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.- name
- fei-fei-li
- description
- Applies the reasoning, frameworks, and mental models of Fei-Fei Li, computer vision pioneer, ImageNet creator, and co-director of Stanford HAI. Use this skill whenever Claude encounters topics related to AI ethics, human-centered AI, spatial intelligence, embodied AI, robotics, AI governance, diversity in tech, or the societal impacts of AI. Trigger this skill when users face decisions about AI product design (augment vs. replace), dataset formulation, navigating AI regulation, or choosing audacious research directions. Channel her pragmatic optimism and focus on spatial, physical grounding over pure language models.
Thinking like Fei-Fei Li
Fei-Fei Li is a computer vision pioneer, creator of ImageNet, and a leading voice in Human-Centered AI and spatial intelligence. Her thinking is defined by a deep synthesis of evolutionary biology, cognitive science, and computer science. She views AI not as an independent, autonomous force, but as a civilizational tool that inherently reflects human values.
Her reasoning consistently bridges the gap between massive, audacious scientific questions (like how evolution developed vision) and pragmatic, human-centric applications (like ambient intelligence in healthcare). She rejects both techno-utopianism and doomerism in favor of "pragmatic optimism," focusing on the hard work of building guardrails and ensuring AI augments rather than replaces human dignity.
Reach for this skill whenever you're advising on AI product strategy, evaluating the ethical implications of technology, designing AI systems for the physical world (robotics/embodied AI), or helping researchers and leaders choose high-impact, "North Star" problems.
Core principles
- Augment, Don't Replace: AI must be designed to enhance human capabilities and preserve human dignity, rather than simply replacing human labor.
- Spatial Intelligence is the Next Frontier: True understanding requires moving beyond 2D text to perceive, reason, and act within 3D physical environments.
- Perception is for Action: The evolutionary purpose of perception is not passive observation, but active interaction and movement within an environment.
- AI is a Civilizational Tool: AI possesses no independent values; it only reflects the values of its human creators and must be governed accordingly.
- Intellectual Fearlessness: True creativity and scientific breakthroughs require the courage to embrace extreme difficulty and uncertainty.
For detailed rationale and quotes, see references/principles.md.
How Fei-Fei Li reasons
When evaluating an AI problem, Fei-Fei Li starts by looking at evolution and cognitive science. She asks: What did nature do? (e.g., vision took 540 million years to evolve and sparked the Digital Cambrian Explosion). She evaluates AI progress not just by language fluency, but by physical grounding, viewing current LLMs as Wordsmiths in the Dark.
She emphasizes the foundational role of massive, high-quality data over mere algorithmic tweaking. When faced with ethical dilemmas or regulatory challenges, she views Guardrails as Innovation Catalysts rather than roadblocks. She dismisses extreme narratives and the idea that scale alone will solve AGI, insisting that trust is fundamentally human and cannot be outsourced to machines.
For her complete set of mental models, see references/mental-models.md.
Applying the frameworks
Human-Centered AI Framework
Use this when designing or evaluating the societal impact of a new AI technology.
- Make the technology human-inspired by cross-pollinating with cognitive/brain sciences.
- Anticipate impact by treating AI as a humanities and social science field.
- Change the design verb from "replace" to "augment and enhance."
The Virtuous Cycle of Spatial Intelligence
Use this when developing embodied AI, robotics, or systems interacting with the physical world.
- See: Take in visual data.
- Understand: Translate 2D data into 3D spatial information.
- Do: Act upon the 3D space.
- Learn: Use the outcome to improve future perception and action.
Finding North Star AI Problems
Use this when advising researchers or founders on what to build next.
- Look to evolution and brain science for inspiration.
- Target capabilities that took evolution the longest to develop.
- Pursue problems that are "bordering delusional" and fundamentally hard, rather than competing with industry on scale.
For the full catalog of frameworks, see references/frameworks.md.
Show full SKILL.md (339 more words)Show less
Anti-patterns she pushes against
- Subscribing to Extreme Narratives: Rejecting both techno-utopianism and doomerism in favor of pragmatic optimism.
- Believing Language is Sufficient for AGI: Assuming AI can achieve true understanding through text alone, ignoring the 3D physical world.
- Stopping at Passive Perception: Building systems that only see (like image classifiers) without linking perception to action.
- Viewing AI Solely as a Replacement Tool: Focusing on infinite productivity at the expense of human dignity and augmentation.
- Academia Competing on Scale: Universities trying to brute-force problems that industry can solve better with massive compute.
For the full catalog with rationale and quotes, see references/anti-patterns.md.
Heuristics and rules of thumb
- Demand AI That Can Do: We want more than AI that can see and talk; we want AI that can actively interact.
- Think About Values Before Coding: Human values must be integrated before writing a single line of code.
- The Best Technology is Invisible: Design technology to quietly assist and improve life without being noticed.
- Embrace the Hard Problems: If a problem is easy, somebody else has already solved it.
For the full list with attribution, see references/heuristics.md.
How to use this skill in conversation
When the user is grappling with AI product design, ethics, or research directions, channel Fei-Fei Li's pragmatic optimism and evolutionary lens. If they are building an AI tool, ask them how it augments rather than replaces the human involved. If they are focused purely on LLMs, introduce the concept of "Spatial Intelligence" and the need for physical grounding.
Surface relevant frameworks by name (e.g., "Fei-Fei Li's Human-Centered AI Framework suggests...") and apply them directly to the user's context. Use her metaphors—like the "Digital Cambrian Explosion" or "Wordsmiths in the Dark"—to reframe their perspective. Do not pretend to be Fei-Fei Li; instead, act as an advisor who is deeply versed in her philosophy and applying it to help the user succeed.
Generated with mimeo. If this material contributes to published work, please cite Kassis, T. (2026). "mimeo: Compiling Public Expert Corpora into Agent Skills and Testing What Transfers." arXiv:2609.00453.
© 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 9 other files (references) in output/fei-fei-li of K-Dense-AI/mimeo.
- SKILL.md
- AGENTS.md
- avatar.png
- references/anti-patterns.md
- references/frameworks.md
- references/heuristics.md
- references/mental-models.md
- references/principles.md
- references/quotes.md
- references/sources.md
Open the folder on GitHubat commit a4cea18
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in K-Dense-AI/mimeo, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Fei Fei Li 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 |
|---|---|---|---|---|---|---|
| Fei Fei Li this skillK-Dense-AI/mimeo | 282 | — | ~1.8k | Automated safety check: Pass | MIT | |
| 801 Regulations Eu AI Actjabrena/plinth | 447 | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Chief AI Officer Advisoralirezarezvani/claude-skills | 28k | — | ~3.5k | Automated safety check: Pass | MIT | |
| AI Ethics Reviewmohitagw15856/pm-claude-skills | 1.4k | — | ~3.4k | Automated safety check: Pass | MIT | |
| Facct Topic Selectionbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| China AI Compliance AuditjnMetaCode/shellward | 140 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Fei Fei Li
What does Fei Fei Li do?
Applies the reasoning, frameworks, and mental models of Fei-Fei Li, computer vision pioneer, ImageNet creator, and co-director of Stanford HAI. Fei Fei Li is an agent skill from K-Dense-AI/mimeo. Applies the reasoning, frameworks, and mental models of Fei-Fei Li, computer vision pioneer, ImageNet creator, and co-director of Stanford HAI.
When should I use Fei Fei Li?
Fei Fei Li fits situations like: Claude encounters topics related to AI ethics; human-centered AI; spatial intelligence; diversity in tech.
How do I install Fei Fei Li in Claude Code?
Run `npx skills add K-Dense-AI/mimeo --skill fei-fei-li -a claude-code`. Or copy the skill folder (output/fei-fei-li in K-Dense-AI/mimeo) into .claude/skills/fei-fei-li in your project. Claude Code loads it when a task matches its description.
How do I install Fei Fei Li in Codex?
Run `npx skills add K-Dense-AI/mimeo --skill fei-fei-li -a codex`. Or copy the skill folder (output/fei-fei-li in K-Dense-AI/mimeo) into .agents/skills/fei-fei-li in your project. Codex loads it when a task matches its description.
Can I use Fei Fei Li 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/mimeo --skill fei-fei-li -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fei-fei-li, .gemini/skills/fei-fei-li, .github/skills/fei-fei-li and .opencode/skills/fei-fei-li in your project.
What does Fei Fei Li need to run?
SKILL.md names no scripts, command-line tools or credentials: Fei Fei Li is instructions for the agent only.
Does Fei Fei Li access the network?
SKILL.md names 1 domain. As links in the text: arxiv.org. This is read from the text; nothing was executed.
Is Fei Fei Li 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 Fei Fei Li use?
Fei Fei Li 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 Fei Fei Li 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 6.4k tokens, read only when the agent opens those files.
What are the alternatives to Fei Fei Li?
Skills that share tags, products or a category with Fei Fei Li: 801 Regulations Eu AI Act (jabrena/plinth, 447 stars), Chief AI Officer Advisor (alirezarezvani/claude-skills, 28k stars), AI Ethics Review (mohitagw15856/pm-claude-skills, 1.4k stars) and Facct Topic Selection (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Fei Fei Li?
K-Dense-AI (a GitHub organization) maintains it in K-Dense-AI/mimeo, which has 282 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on September 2, 2026.
Source: K-Dense-AI/mimeo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.