Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.
Claude CodeNot declared
CursorNot declared
CodexNot declared
GitHub CopilotNot declared
WindsurfNot declared
Gemini CLINot declared
ClineNot declared
OpenCodeNot declared
Repository health
Stars1.7K
LicenseLICENSE
Default branchmain
Open issues9
Status
Active
Package contents
Files included with this skill beyond the listing page.
skill mdSKILL.md6,128 B
docsSUMMARY.md404 B
History
First seen on skills.sh
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:
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
Verify density: d = (Z M) / (V Na * 1e-24) where V in ų, M in g/mol, Na = 6.022e23
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
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.
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.
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)
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.