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Skills.

Give your AI a better way to work.

A skill is a set of written instructions that teaches an AI how to do one job the way it should be done: review a pull request, plan a migration, write the release notes.

Install one here and it travels with your account into Claude, Claude Code, Cursor and every other client you sign in with.

Category: Dev tools

16,833 results · page 260 of 562

  • mat-dft-mixing-functionalsSkillDev tools

    Energy corrections needed when using certain MLIPs for phase diagram construction / formation energy calculations.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-dielectric-responseSkillDev tools

    Calculate frequency-dependent dielectric response using atomate2 OpticsMaker and VASP.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-diffusion-analysisSkillDev tools

    Calculate ionic diffusion coefficients and activation energy from MD trajectories using pymatgen.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-disorderSkillDev tools

    Generate ordered structures from disordered starting points with partial occupancies.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-edi-mobilitySkillDev tools

    Compute defect-limited carrier mobility and electron-defect scattering matrix elements in 2D and 3D semiconductors from first principles with Quantum ESPRESSO and the EDI plugin.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-elasticitySkillDev tools

    Calculate the full elastic tensor and mechanical properties (bulk modulus, shear modulus, Young's modulus, Poisson's ratio) using MLIPs.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-electrochemical-windowSkillDev tools

    Calculate the intrinsic electrochemical stability window (ECW) of a material using standard phase diagram thermodynamic methods.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-electronic-structureSkillDev tools

    Calculate electronic band structure and density of states using atomate2 and VASP.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-elemental-energiesSkillDev tools

    A library of ground-state element structures and their energies calculated from MLIPs. Used to calculate formation energies of compounds.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-epw-mobilitySkillDev tools

    Compute phonon-limited carrier mobility and mode-resolved electron-phonon coupling in 2D materials from first principles with Quantum ESPRESSO and EPW.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-equation-of-stateSkillDev tools

    Calculate equation of state (bulk modulus, equilibrium volume) using MLIPs.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-grain-boundarySkillDev tools

    Calculate grain boundary energies for tilt/twist grain boundaries (Σ-CSL boundaries) using MLIPs; output γ_GB vs. misorientation angle curves and identify low-energy special boundaries.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-intercalation-voltageSkillDev tools

    Calculate the average intercalation voltage of cathode materials using MLIPs.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-ionic-substitutionSkillDev tools

    Discover new crystal structures by data-mined ionic substitution — propose candidates from existing structures (forward) or find potential structures for a target composition (reverse).

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-kinetic-monte-carloSkillDev tools

    Simulate long-time kinetics using rejection-free kinetic Monte Carlo (KMC) with event catalog construction, rate assignment via TST/Arrhenius, detailed-balance validation, superbasin handling, and transport analysis.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-lammps-mdSkillDev tools

    Build and run LAMMPS molecular dynamics with isolated MLIP-specific binaries (MACE, MatGL/CHGNet, FairChem) to avoid Python and Torch stack conflicts.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-lattice-thermal-conductivitySkillDev tools

    Calculate lattice thermal conductivity of materials with MLIPs.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-magnetic-densitySkillDev tools

    Calculate magnetic moments and spin density from spin-polarized DFT calculations using VASP.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-md-probability-densitySkillDev tools

    Calculate and visualize the probability density of diffusing ions from a Molecular Dynamics (MD) trajectory.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-melting-pointSkillDev tools

    Calculate the melting temperature of a material using the solid-liquid interface (coexistence) method.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-phase-diagramSkillDev tools

    Retrieve and visualize pre-computed phase diagrams from Materials Project for thermodynamic stability analysis.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-phase-field-conservativeSkillDev tools

    Simulate conservative phase-fields (spinodal decomposition and phase separation) using the Cahn-Hilliard equation.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-phase-field-non-conservativeSkillDev tools

    Simulate non-conservative phase-fields (grain growth and phase transformations) using the Allen-Cahn equation.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-phononSkillDev tools

    Calculate vibrational properties (phonon dispersions, density of states, thermal properties) using MLIPs.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

    View details
  • mat-pourbaix-diagramSkillDev tools

    Calculate Pourbaix (pH-voltage) diagrams for aqueous electrochemical stability using water-corrected MLIP energies and pymatgen.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-qha-thermal-expansionSkillDev tools

    Calculate Quasi-Harmonic Approximation (QHA) thermal properties using MLIPs.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-raman-spectraSkillDev tools

    Calculate Raman-active phonon mode frequencies and simulate Raman spectra from MLIP phonon calculations; optionally compute full Raman intensities with DFT Born charges via atomate2.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-reaction-networkSkillDev tools

    Predict thermodynamically optimal solid-state inorganic synthesis pathways and tabulates basic reactions.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-sample-pes-by-mdSkillDev tools

    Sample off-equilibrium potential energy surface (PES), used for benchmarking and fine-tuning MLIPs.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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  • mat-solid-free-energySkillDev tools

    Calculate absolute solid Helmholtz free energy, and optional Gibbs free energy, with Frenkel-Ladd switching using portable MLIP wrappers on a pre-equilibrated periodic structure.

    Ready to connect★ 164

    github.com/learningmatter-mit/atomisticskills158 stars

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What is a skill?

A skill is plain text, usually a SKILL.md file and the scripts it refers to, written for an AI rather than for a person. It carries the steps, the house rules and the examples a good answer needs, so you stop pasting the same briefing into every new chat.

53,585 of the 54,017 skills listed here can be served through ahel today, and they come from public repositories. Each one has its own page with the instructions themselves on it, so you can read what a skill will tell your AI to do before you install it.

Install one and every AI you use gets it

Installing a skill adds it to your gateway and turns it on in the same step. Claude Code surfaces it as a slash command; any client can read the full instructions with the skill_read tool.

Nothing is copied into a project folder. The instructions are served from your account, so the same skill is there in every AI you connect, and turning it off removes it from all of them at once.

See how to connect your AI