Skip to main content

chemistry-tools

Computational chemistry tools including molecular structure, chemical reactions, thermodynamics, spectroscopy analysis, and cheminformatics. Use when user works with chemical formulas, molecular structures, reaction balancing, thermodynamic calculations, or chemical databases (PubChem, ChemSpider). Triggers on "chemical structure", "molecular weight", "balance equation", "reaction", "thermodynamics", "spectroscopy", "SMILES", "PubChem", "chemical formula", "stoichiometry".

インストールへ移動

ソース情報

リポジトリ
beita6969/ScienceClaw
ソースの最終更新活動
2026年3月12日 04:53
検出された SKILL.md の言語
英語
スター
904
フォーク
104

インストール方法

デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。

ソースファイルを確認

インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。

SKILL.md を表示中

SKILL.md
ソースの指示 · 読み取り専用プレビュー
name
chemistry-tools
description
Computational chemistry tools including molecular structure, chemical reactions, thermodynamics, spectroscopy analysis, and cheminformatics. Use when user works with chemical formulas, molecular structures, reaction balancing, thermodynamic calculations, or chemical databases (PubChem, ChemSpider). Triggers on "chemical structure", "molecular weight", "balance equation", "reaction", "thermodynamics", "spectroscopy", "SMILES", "PubChem", "chemical formula", "stoichiometry".
# Chemistry Tools Computational chemistry and cheminformatics. Venv: `source /Users/zhangmingda/clawd/.venv/bin/activate` ## Molecular Properties ```python # Using RDKit if available, otherwise manual calculations from sympy import symbols, Eq, solve # Molecular weight calculation (manual) ATOMIC_WEIGHTS = { 'H': 1.008, 'He': 4.003, 'Li': 6.941, 'Be': 9.012, 'B': 10.81, 'C': 12.011, 'N': 14.007, 'O': 15.999, 'F': 18.998, 'Ne': 20.180, 'Na': 22.990, 'Mg': 24.305, 'Al': 26.982, 'Si': 28.086, 'P': 30.974, 'S': 32.065, 'Cl': 35.453, 'Ar': 39.948, 'K': 39.098, 'Ca': 40.078, 'Fe': 55.845, 'Cu': 63.546, 'Zn': 65.38, 'Br': 79.904, 'Ag': 107.868, 'I': 126.904, 'Au': 196.967, } import re def molecular_weight(formula): """Calculate MW from chemical formula like 'C6H12O6'""" elements = re.findall(r'([A-Z][a-z]?)(\d*)', formula) mw = sum(ATOMIC_WEIGHTS.get(el, 0) * (int(n) if n else 1) for el, n in elements) return mw # Example print(f"Glucose (C6H12O6): {molecular_weight('C6H12O6'):.3f} g/mol") ``` ## Chemical Equation Balancing ```python from sympy import Matrix, lcm def balance_equation(reactants_elements, products_elements): """ Balance using linear algebra (null space method). Each compound is a dict of {element: count}. """ all_elements = set() for compound in reactants_elements + products_elements: all_elements.update(compound.keys()) all_elements = sorted(all_elements) n_compounds = len(reactants_elements) + len(products_elements) matrix = [] for el in all_elements: row = [] for comp in reactants_elements: row.append(comp.get(el, 0)) for comp in products_elements: row.append(-comp.get(el, 0)) matrix.append(row) M = Matrix(matrix) null = M.nullspace() if null: coeffs = null[0] # Make integer coefficients denom = lcm(*[c.q for c in coeffs if hasattr(c, 'q')] or [1]) coeffs = [int(c * denom) for c in coeffs] return coeffs return None ``` ## Thermodynamics ```python import numpy as np # Ideal gas law: PV = nRT R = 8.314 # J/(mol·K) def ideal_gas(P=None, V=None, n=None, T=None): """Solve for the missing variable. Units: Pa, m³, mol, K""" if P is None: return n * R * T / V if V is None: return n * R * T / P if n is None: return P * V / (R * T) if T is None: return P * V / (n * R) # Gibbs free energy def gibbs(dH, T, dS): """ΔG = ΔH - TΔS (kJ/mol, K, kJ/(mol·K))""" return dH - T * dS # Nernst equation def nernst(E0, n_electrons, Q, T=298.15): """E = E° - (RT/nF)ln(Q)""" F = 96485 # C/mol return E0 - (R * T / (n_electrons * F)) * np.log(Q) # Arrhenius equation def arrhenius(A, Ea, T): """k = A * exp(-Ea/RT), Ea in J/mol""" return A * np.exp(-Ea / (R * T)) ``` ## Chemical Databases ### PubChem ```bash # Search by name curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name/aspirin/JSON" | python3 -m json.tool # Search by SMILES curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/smiles/CC(=O)OC1=CC=CC=C1C(=O)O/JSON" # Get properties curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name/caffeine/property/MolecularFormula,MolecularWeight,IUPACName/JSON" ``` ### ChEBI (Chemical Entities of Biological Interest) ```bash curl -s "https://www.ebi.ac.uk/chebi/searchId.do?chebiId=CHEBI:15377" # water ``` ## Spectroscopy Reference | Technique | What it measures | Key info | |-----------|-----------------|----------| | IR | Bond vibrations | Functional groups (cm⁻¹) | | NMR (¹H) | H environments | Chemical shift (δ ppm), splitting | | NMR (¹³C) | C environments | Chemical shift (δ ppm) | | UV-Vis | Electronic transitions | λmax, absorbance | | Mass Spec | m/z ratio | Molecular weight, fragmentation | ### Common IR Absorptions - O-H stretch: 3200-3600 cm⁻¹ (broad) - N-H stretch: 3300-3500 cm⁻¹ - C-H stretch: 2850-3000 cm⁻¹ - C=O stretch: 1650-1750 cm⁻¹ - C=C stretch: 1600-1680 cm⁻¹ - C-O stretch: 1000-1300 cm⁻¹ ## Tips - Always check units (SI vs CGS vs practical) - Use IUPAC nomenclature - For complex reactions, break into elementary steps - Verify thermodynamic data against NIST WebBook - For computational chemistry (DFT, MD), recommend specialized software (Gaussian, ORCA, GROMACS)
GitHubで見る