Menu
Use for symmetry analysis, space group determination, standardization, and k-path generation using pymatgen.symmetry.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Structured brainstorming and ideation facilitation using proven creativity techniques. Use when users want to generate ideas, explore solutions, break through creative blocks, or need facilitated ideation sessions. Triggers include requests like 'help me brainstorm,' 'generate ideas for,' 'creative solutions to,' or 'think of alternatives.'
Use when investigating why something happened and need to distinguish correlation from causation, identify root causes vs symptoms, test competing hypotheses, control for confounding variables, or design experiments to validate causal claims. Invoke when debugging systems, analyzing failures, researching health outcomes, evaluating policy impacts, or when user mentions root cause, causal chain, confounding, spurious correlation, or asks "why did this really happen?"
Use when comparing multiple named alternatives across several criteria, need transparent trade-off analysis, making group decisions requiring alignment, choosing between vendors/tools/strategies, stakeholders need to see decision rationale, balancing competing priorities (cost vs quality vs speed), user mentions "which option should we choose", "compare alternatives", "evaluate vendors", "trade-offs", or when decision needs to be defensible and data-driven.
Use when dealing with complex systems that need simplification, identifying bottlenecks or critical failure points, redesigning architecture or processes for better performance, breaking down problems that feel overwhelming, analyzing dependencies to understand ripple effects, user mentions "this is too complex", "where's the bottleneck", "how do we redesign this", "what are the key components", or when optimization requires understanding how parts interact.
Use when optimizing multi-factor systems with limited experimental budget, screening many variables to find the vital few, discovering interactions between parameters, mapping response surfaces for peak performance, validating robustness to noise factors, or when users mention factorial designs, A/B/n testing, parameter tuning, process optimization, or experimental efficiency.
Use when you have validated symmetry groups and need to design neural network architecture that respects those symmetries. Invoke when user mentions equivariant layers, G-CNN, e3nn, steerable networks, building symmetry into model, or needs architecture recommendations for specific symmetry groups. Provides architecture patterns and implementation guidance.
| name | pymatgen-symmetry |
| description | Use for symmetry analysis, space group determination, standardization, and k-path generation using pymatgen.symmetry. |
| metadata | {"short-description":"pymatgen symmetry"} |
Pymatgen symmetry tools determine space groups, symmetry operations, standardized cells, and k-paths for band structure calculations.
Ensure pymatgen is installed in your Python environment:
pip install pymatgen
# or
conda install -c conda-forge pymatgen
Example usage pattern:
from pymatgen.symmetry.analyzer import SpacegroupAnalyzer
# your code here
SpacegroupAnalyzer for symmetry and conventional cellsSpacegroupAnalyzer or k-path tools.Executable examples in the scripts/ directory:
2021-08-26-Magnetic_Structure_Generation_as_Input_for_Initial_DFT_Calculations.py - Magnetic structure generation for DFT inputs.Detailed reference material (load as needed):
references/symmetry-tools.md - Symmetry workflows and examplesreferences/docs/ - Local API docs for pymatgen.symmetry