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Thinking like Fei-Fei Li · k-dense-ai | DecimalAI

ai mlby k-dense-ai

Thinking like Fei-Fei Li

k-dense-ai/fei-fei-li

Source k-dense-ai/mimeo ↗License MIT

Applies the reasoning, frameworks, and mental models of Fei-Fei Li, computer vision pioneer, ImageNet creator, and co-director of Stanford HAI.

SkillScore82Maintained

Automatic

AI Engineer pack

Last verified 9/7/2026

What it changes

Passed 18 of 22 test cases with the skill, and 9 of 22 without it.

Without skill41%

With skill82%

Checks it passed that the model alone missed

Applies the Human-Centered AI Framework by name.
Advocates intellectual fearlessness when choosing research projects.
Applies the Virtuous Cycle of Spatial Intelligence framework by name.

and 7 more in the full report

9 fixed9 passed either way4 still failing0 broke

Pass-rate lift: +41 pp
Tokens: +23%
Agent turns: 0%
Response time: -7%

Model gemini-3.6-flashMeasured 9/7/2026v218 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/k-dense-ai-fei-fei-li/SKILL.md https://app.decimal.ai/s/k-dense-ai-fei-fei-li/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add k-dense-ai-fei-fei-li, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/k-dense-ai-fei-fei-li/ and pins it in .decimal/skills.lock

decimalai skills add k-dense-ai-fei-fei-li

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/k-dense-ai-fei-fei-li/SKILL.md https://app.decimal.ai/s/k-dense-ai-fei-fei-li/SKILL.md

Raw file: /s/k-dense-ai-fei-fei-li/SKILL.md ↗ · machine-readable summary at /s/k-dense-ai-fei-fei-li.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 9

Prompt

We are designing a camera-based quality control system for automated logistics facilities that currently flags defective items on a conveyor line. We want to expand this into an intelligent robotic system that can actively manipulate and sort items in 3D warehouse spaces. Please draft a product architecture advisory note covering: 1) a conceptual framework for translating visual inputs into physical actions, 2) common design missteps to avoid in physical AI deployment, and 3) guidelines for ensuring worker trust and safety.

What was checked, without and with the skill
Checked	Without skill	With skill
References the Virtuous Cycle of Spatial Intelligence framework by name.	Missed	Passed
Emphasizes that visual perception must be linked to active physical interaction.	Passed	Passed
Advises designing the robotic system to augment warehouse staff rather than replace them.	Missed	Passed

case-03 · gemini-3.6-flash · 9/7/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md75 lines8 files

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.

Track record

Benchmark

18 / 22

test cases passed, vs 9 / 22 without

Adoption

Users: 1
Times used: 12

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v5 — 9/7/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

k-dense-ai / mimeo

output/fei-fei-li/SKILL.md

View on GitHub ↗

License MITImported 9/7/2026Version v2Bundled 7 files

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Thinking like Fei-Fei Li

Core principles

How Fei-Fei Li reasons

Applying the frameworks

Human-Centered AI Framework

The Virtuous Cycle of Spatial Intelligence

Track record

Benchmark

Adoption

SkillSafety

Source

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