Chemistry — 9 Skills
SkillMedia9 chemistry skills. Trigger: chemical structure analysis, reaction prediction, molecular modeling. Design: computational chemistry tools and cheminformatics workflows.
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Chemistry skill
What this skill tells your AI
The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/43-wentorai-research-plugins/skills/domains/chemistry/SKILL.md and read by ahel’s review.
Select the skill matching the user's need, then read its SKILL.md.
| Skill | Description |
|---|---|
| cactus-cheminformatics-guide | PNNL cheminformatics LLM agent for molecular analysis |
| catalysis-hub-api | Query computational catalysis reaction data via Catalysis Hub GraphQL |
| chemeagle-guide | Multi-agent system for chemical literature information extraction |
| chemgraph-agent-guide | Automate molecular simulations with the ChemGraph agentic framework |
| computational-chemistry-guide | DFT, molecular simulation, and reaction prediction tools for chemists |
| molecular-dynamics-guide | Molecular dynamics simulation setup, execution, and trajectory analysis |
| pubchem-api-guide | Search PubChem for chemical compounds, structures, and bioassay data |
| retrosynthesis-guide | Retrosynthetic analysis and computational reaction prediction |
| spectroscopy-analysis-guide | Spectral data analysis for NMR, IR, mass spectrometry, and UV-Vis |
Signals
- GitHub stars
- 4k
- Forks
- 531
- Last commit
- Sep 2026
ahel review
K1binfo
installs-packages (in chemgraph-agent-guide/SKILL.md)
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Item type
- skill
- Key
chemistry-skills- Source
- github.com/brycewang-stanford/auto-empirical-research-skills
github.com/brycewang-stanford/auto-empirical-research-skills
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