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Inorganic & Physical Chemistry

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Calculate and analyze crystal structures and thermodynamic properties.

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What Inorganic & Physical Chemistry does

The Inorganic & Physical Chemistry skill provides a comprehensive suite of tools for professionals and students in the fields of inorganic chemistry, physical chemistry, and materials science. It allows users to perform precise calculations related to crystal structures, including unit cell volumes for various crystal systems such as cubic, tetragonal, and orthorhombic. The skill also facilitates the verification of density and offers batch comparison capabilities for datasets, ensuring accurate and reliable results.

In addition to crystal structure analysis, this skill delves into bonding and covalency questions, providing insights into the interactions between metal and ligand orbitals. Users can explore the nuances of lanthanide and actinide chemistry, as well as the characteristics of noble gas compounds. The skill emphasizes the importance of temperature and synthesis conditions, guiding users to consult literature rather than relying on estimations.

Thermodynamics and kinetics are also covered extensively, with users able to compute Gibbs free energy, equilibrium constants, and various other thermodynamic equations. The skill includes an equilibrium solver that can handle complex formation and common ion effects, allowing for detailed solubility calculations. For spectroscopy interpretation, users can analyze UV-Vis, IR, and NMR data, leveraging built-in scripts for peak counting and symmetry analysis.

This skill is particularly suited for chemists, materials scientists, and researchers who require accurate computational tools for their studies. It is designed to enhance understanding and facilitate research in inorganic and physical chemistry, making it an essential resource for anyone working in these disciplines.

When to use it

Use this skill when you need to perform calculations related to crystal structures, solubility, or thermodynamic properties in inorganic chemistry.

When not to use it

This skill may not be suitable for organic chemistry tasks or for users requiring a graphical interface for visualizing structures.

What you can build with it

Calculating Unit Cell Volume

Use the skill to compute the unit cell volume for complex crystal systems, ensuring accurate structural analysis.

Thermodynamic Property Estimation

Estimate Gibbs free energy and equilibrium constants for reactions, aiding in thermodynamic studies.

Batch Dataset Validation

Validate multiple crystal structure datasets simultaneously to ensure consistency and accuracy in research.

How to install Inorganic & Physical Chemistry

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1. Install with the skills CLI

npx skills add mims-harvard/tooluniverse/tooluniverse-inorganic-physical-chemistry --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by mims-harvard

Inorganic & Physical Chemistry

Reasoning Strategy

1. Crystal Structure Questions

When given crystal structure data, always COMPUTE don't guess:

  1. Calculate unit cell volume for the crystal system:

    • Cubic: V = a^3
    • Tetragonal: V = a^2 * c
    • Orthorhombic: V = a * b * c
    • Monoclinic: V = a * b * c * sin(beta)
    • Triclinic: V = abc * sqrt(1 - cos^2(alpha) - cos^2(beta) - cos^2(gamma) + 2*cos(alpha)*cos(beta)*cos(gamma))
    • Hexagonal: V = a^2 * c * sqrt(3)/2
  2. Verify density: d = (Z * M) / (V * Na * 1e-24) where V in ų, M in g/mol, Na = 6.022e23

  3. Preferred: Use CrystalStructure_validate tool (via MCP/SDK). Fallback: python3 skills/tooluniverse-organic-chemistry/scripts/crystal_validator.py --a X --b Y --c Z --alpha A --beta B --gamma G --Z N --MW M --density D

  4. For batch comparison (find the wrong dataset): Save datasets as JSON array and use --datasets path/to/datasets.json

2. Bonding & Covalency Questions

Key reasoning patterns:

  • Covalency = orbital mixing between metal and ligand. Greater overlap = more covalent.
  • Lanthanide/actinide: 4f orbitals of Ce(IV) typically show ENHANCED covalent mixing vs Ce(III) — more contracted 4f in higher oxidation states increases overlap with ligand orbitals
  • But: Enhanced covalency does NOT always mean stronger bonds — it depends on the specific orbital interactions
  • d-block vs f-block: d-orbitals have more radial extension → stronger covalent bonds than f-orbitals
  • Nephelauxetic effect: Reduced electron-electron repulsion in complexes → indicates covalency. Larger effect = more covalent.

3. Noble Gas Chemistry

  • Xe compounds: XeF2 (linear), XeF4 (square planar), XeF6 (distorted octahedral)
  • XeF4 synthesis: Requires Xe + F2 at elevated temperature (400°C) and pressure. Can also form at lower temperatures with specific methods (UV photolysis, electric discharge)
  • Key: Temperature thresholds matter for synthesis efficiency. LOOK UP DON'T GUESS — search literature for specific synthesis conditions.

4. Symmetry & Point Groups

  1. Identify the molecular shape
  2. Find symmetry elements: C_n axes, mirror planes (σ_h, σ_v, σ_d), inversion center (i), improper rotation (S_n)
  3. Use python3 skills/tooluniverse-organic-chemistry/scripts/chemistry_facts.py point_groups for point group lookup
  4. Optical activity: Requires absence of improper rotation axes (S_n, including σ = S_1 and i = S_2). Chiral point groups: C_1, C_n, D_n, T, O, I
  5. Crystal classes with optical activity: Piezoelectric non-centrosymmetric classes that lack mirror planes and inversion

5. Thermodynamics & Kinetics

COMPUTE DON'T ESTIMATE — write Python code for:

  • Gibbs free energy: ΔG = ΔH - TΔS
  • Equilibrium constant: K = exp(-ΔG/RT)
  • Arrhenius equation: k = A * exp(-Ea/RT)
  • Nernst equation: E = E° - (RT/nF) * ln(Q)
  • Clausius-Clapeyron: ln(P2/P1) = -ΔH_vap/R * (1/T2 - 1/T1)

6. Solubility & Equilibrium Calculations

Preferred: Use EquilibriumSolver_calculate tool (via MCP/SDK) with type, ksp, stoich, and other parameters. Fallback: run equilibrium_solver.py directly.

# Simple Ksp: MaXb(s) <-> aM + bX
python3 skills/tooluniverse-inorganic-physical-chemistry/scripts/equilibrium_solver.py \
  --type ksp_simple --ksp 5.3e-27 --stoich 1:3

# Ksp + complex formation (e.g., Al(OH)3 in water with Al(OH)4- complex)
python3 skills/tooluniverse-inorganic-physical-chemistry/scripts/equilibrium_solver.py \
  --type ksp_kf --ksp 5.3e-27 --kf 1.1e33 --stoich 1:3

# Common ion effect (e.g., AgCl in 0.1M NaCl)
python3 skills/tooluniverse-inorganic-physical-chemistry/scripts/equilibrium_solver.py \
  --type common_ion --ksp 1.77e-10 --stoich 1:1 --common-ion 0.1

Key points:

  • ksp_kf mode solves the full charge-balance system numerically (Newton's method) — accounts for free cation, complex anion, and OH-/H+ simultaneously
  • For MX_b + X- <-> MX_(b+1)-, K_overall = Ksp * Kf
  • common_ion mode uses bisection to solve the exact Ksp expression with extra ion concentration
  • Always specify --stoich a:b matching the salt formula (e.g., 1:3 for Al(OH)3, 1:2 for CaF2, 1:1 for AgCl)

7. Spectroscopy Interpretation

  • UV-Vis: d-d transitions (weak, Laporte forbidden), LMCT/MLCT (strong), π→π* (organic)
  • IR: Functional group region (4000-1500 cm⁻¹), fingerprint (1500-400 cm⁻¹)
  • NMR: Chemical shift indicates electronic environment. For counting peaks, identify symmetry-equivalent protons.
  • For peak counting: Draw the structure, identify all symmetry operations, group equivalent H atoms. Use python3 skills/tooluniverse-organic-chemistry/scripts/chemistry_facts.py for reference data.

Available Tools

ToolUse For
PubChem_get_CID_by_compound_nameGet compound CID from name
PubChem_get_compound_properties_by_CIDDetailed compound data by CID
ChEMBL_search_moleculesBioactive compounds
PubMed_search_articlesLiterature on synthesis conditions, properties
CrystalStructure_validate tool (or crystal_validator.py fallback)Verify crystal structure data consistency
EquilibriumSolver_calculate tool (or equilibrium_solver.py fallback)Ksp, complex formation, common-ion solubility

LOOK UP DON'T GUESS

  • Noble gas compound synthesis conditions vary by method — search literature before answering
  • Crystal structure parameters must be computed, not estimated
  • Bonding descriptions (covalent vs ionic) require specific orbital considerations — don't generalize from one system to another

Frequently asked questions about Inorganic & Physical Chemistry

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