General
tooluniverse-inorganic-physical-chemistry - Claude MCP Skill
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.
SEO Guide: Enhance your AI agent with the tooluniverse-inorganic-physical-chemistry tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to inorganic chemistry, physical chemistry, and materials science — crystal structures, coordination ch... Download and configure this skill to unlock new capabilities for your AI workflow.
Documentation
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 = a*b*c * 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. ```bash # 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 | Tool | Use For | |------|---------| | `PubChem_get_CID_by_compound_name` | Get compound CID from name | | `PubChem_get_compound_properties_by_CID` | Detailed compound data by CID | | `ChEMBL_search_molecules` | Bioactive compounds | | `PubMed_search_articles` | Literature 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
Signals
Information
- Repository
- mims-harvard/ToolUniverse
- Author
- mims-harvard
- Last Sync
- 9/5/2026
- Repo Updated
- 9/5/2026
- Created
- 3/30/2026
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