Agent skill

waddington-landscape

Waddington's epigenetic landscape: cell fate as gradient flow on potential surfaces, connecting developmental biology to dynamical systems, Schrödinger bridges, and fractional diffusion

majiayu000534★ · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill waddington-landscape --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 14 KB
Bundled scripts: none
Version: 1.0.0
Path: skills/ai-ml/waddington-landscape/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Waddington Landscape Skill > *"The cell is like a ball rolling down a landscape of valleys. Once it enters a valley, it is canalized toward a particular fate."* > — Conrad Hal Waddington (1957) ## Overview **Waddington's epigenetic landscape** is the foundational metaphor for developmental biology: | Concept | Landscape Metaphor | Mathematical Structure | |---------|-------------------|----------------------| | Cell | Ball/marble | State point θ(t) | | Differentiation | Rolling downhill | Gradient descent | | Cell fate | Valley bottom | Attractor basin | | Fate decision | Ridge/bifurcation | Critical point | | Landscape shape | Epigenetic regulation | Potential V(θ) | ## The Mathematics ### Gradient Flow on Potential Landscape ``` dθ/dt = -∇V(θ) + √(2T) dW(t) Where: θ = cell state (gene expression profile) V(θ) = epigenetic potential (landscape height) T = temperature (stochastic fluctuations) dW = Brownian motion (noise) ``` This is **Langevin dynamics** on the Waddington landscape! ### Connection to FDBM (NeurIPS 2025) The **Fractional Diffusion Bridge Models** paper (Nobis et al., 2025) provides the modern framework: ``` Standard Brownian (H=0.5): Memoryless diffusion No long-

What's inside
Steps it walks through
  1. Overview
  2. The Mathematics
  3. Gradient Flow on Potential Landscape
  4. Connection to FDBM (NeurIPS 2025)
  5. Schrödinger Bridge Formulation
  6. Modelica Implementation
  7. Basic Landscape with Pitchfork Bifurcation
  8. Three-Fate Landscape (Stem Cell → Neuron/Muscle/Blood)
  9. Fractional Dynamics (MA-fBM)
  10. Python Implementation
  11. Waddington Landscape Class
  12. FDBM Integration
  13. Connection to Other Skills
  14. The KOH-Opalescence-Waddington Chain
Ships with 1 file
  • metadata.json
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About this skill
What does the waddington-landscape skill do?

Waddington's epigenetic landscape: cell fate as gradient flow on potential surfaces, connecting developmental biology to dynamical systems, Schrödinger bridges, and fractional diffusion

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill waddington-landscape --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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