mims-harvard/tooluniverse

tooluniverse-inorganic-physical-chemistry

Inorganic chemistry, physical chemistry, and materials science — crystal structures, coordination chemistry, lattice parameters, thermodynamic properties, electronic structure.

First seen Mar 30, 2026

Installation

$ npx skills add mims-harvard/tooluniverse --skill tooluniverse-inorganic-physical-chemistry

Summary

  • Inorganic chemistry, physical chemistry, and materials science — crystal structures, coordination chemistry, lattice parameters, thermodynamic properties, electronic structure.
  • Use for unit cell volume calculations, coordination geometry, materials property estimation, and inorganic-mechanism reasoning.
  • Complementary to tooluniverse-organic-chemistry.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 1.7K
License LICENSE
Default branch main
Open issues 9
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 6,128 B
  • docs SUMMARY.md 404 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 235 installs

SKILL.md

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) + 2cos(alpha)cos(beta)cos(gamma)) - Hexagonal: V = a^2 c sqrt(3)/2

  1. Verify density: d = (Z M) / (V Na * 1e-24) where V in ų, M in g/mol, Na = 6.022e23
  2. Preferred: Use CrystalStructurevalidate tool (via MCP/SDK). Fallback: python3 skills/tooluniverse-organic-chemistry/scripts/crystalvalidator.py --a X --b Y --c Z --alpha A --beta B --gamma G --Z N --MW M --density D
  3. 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: Cn axes, mirror planes (σh, σv, σd), inversion center (i), improper rotation (S_n)
  3. Use python3 skills/tooluniverse-organic-chemistry/scripts/chemistryfacts.py pointgroups for point group lookup
  4. Optical activity: Requires absence of improper rotation axes (Sn, including σ = S1 and i = S2). Chiral point groups: C1, Cn, Dn, 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 EquilibriumSolvercalculate tool (via MCP/SDK) with type, ksp, stoich, and other parameters. Fallback: run equilibriumsolver.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 MXb + 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

Tool Use For
PubChemgetCIDbycompound_name Get compound CID from name
PubChemgetcompoundpropertiesby_CID Detailed compound data by CID
ChEMBLsearchmolecules Bioactive compounds
PubMedsearcharticles Literature on synthesis conditions, properties
CrystalStructurevalidate tool (or crystalvalidator.py fallback) Verify crystal structure data consistency
EquilibriumSolvercalculate tool (or equilibriumsolver.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