Use this skill to compute Murcko scaffold summaries for a small local molecule set with RDKit. Prefer it for deterministic scaffold grouping and smoke-scale cheminformatics checks.
Scanned 9/8/2026
Install to Claude Code
npx -y skills add ma-compbio-lab/SkillFoundry --skill rdkit-scaffold-analysis-starter --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: rdkit-scaffold-analysis-starter
description: Use this skill to compute Murcko scaffold summaries for a small local molecule set with RDKit. Prefer it for deterministic scaffold grouping and smoke-scale cheminformatics checks.
---
## Purpose
Analyze a small local TSV of SMILES strings with RDKit Murcko scaffolds and emit a compact JSON summary that can feed later smoke integration or scaffold triage workflows.
## When to use
- You need a local scaffold grouping summary for a small curated molecule set.
- You want canonical SMILES, Murcko scaffolds, generic scaffolds, and group counts from one deterministic run.
## When not to use
- You need large library clustering, matched molecular pair analysis, or SAR interpretation.
- You need remote compound lookup or medicinal-chemistry recommendations.
## Inputs
- A TSV file with columns `name` and `smiles`
- Optional JSON output path
## Outputs
- JSON with per-molecule canonical SMILES, Murcko scaffold, generic scaffold, scaffold groups, generic scaffold groups, and summary counts
## Requirements
- `slurm/envs/chem-tools/bin/python`
- RDKit available in that environment
## Procedure
1. Inspect `examples/molecules.tsv`.
2. Run `slurm/envs/chem-tools/bin/python skills/drug-discovery-and-cheminformatics/rdkit-scaffold-analysis-starter/scripts/run_rdkit_scaffold_analysis.py --input skills/drug-discovery-and-cheminformatics/rdkit-scaffold-analysis-starter/examples/molecules.tsv`.
3. Review `molecules`, `scaffold_groups`, and `summary`.
## Validation
- The bundled example returns at least one scaffold group with count `>= 2`.
- Invalid SMILES input returns a non-zero exit code with a clear error message.
## Failure modes and fixes
- Invalid SMILES: fix the offending row in the input TSV.
- Missing RDKit environment: rerun with `slurm/envs/chem-tools/bin/python`.
- Missing `name` or `smiles` columns: use a header row with exactly those field names.
## Safety and limits
- Local scaffold computation only.
- No medicinal-chemistry conclusions are implied by the grouping.
## Provenance
- RDKit docs: https://www.rdkit.org/docs/index.html
- RDKit Murcko scaffold API: https://www.rdkit.org/docs/source/rdkit.Chem.Scaffolds.MurckoScaffold.html
- RDKit repository: https://github.com/rdkit/rdkit
## Related skills
- `rdkit-molecular-descriptors`
- `rdkit-molecule-standardization`
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