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Daylight Theory

skill-kdevos12-alkyl-daylight-theory · by Kdevos12

Use when working with SMILES, SMARTS, SMIRKS, molecular fingerprints, or cheminformatics fundamentals. Covers the complete Daylight theory: molecular graph representation, SMILES specification, SMARTS query language, SMIRKS reaction transforms, and fingerprint-based similarity. Based on the Daylight Theory Manual.

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Install

$ agentstack add skill-kdevos12-alkyl-daylight-theory

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Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

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About

Daylight Theory — Cheminformatics Fundamentals

The Daylight Theory Manual is the canonical reference for the molecular languages underlying modern cheminformatics: SMILES, SMARTS, SMIRKS, and fingerprints. These are not Daylight-proprietary — they are industry-standard formats implemented in RDKit, OpenBabel, CDK, and every major cheminformatics toolkit.

Router — What to Read

| Topic | Reference | |-------|-----------| | Molecular graph model, aromaticity, chirality, SSSR, reaction representation | references/molecules.md | | SMILES syntax: atoms, bonds, branches, rings, stereochemistry, reactions | references/smiles.md | | SMARTS query language: primitives, operators, recursive SMARTS, reaction queries | references/smarts.md | | SMIRKS reaction transforms: atom maps, grammar, stereochemistry | references/smirks.md | | Fingerprints: structural keys, path-based FP, folding, Tanimoto, Tversky, all similarity measures | references/fingerprints.md | | Chemical database concepts: hash tables, identifiers, in-memory search, pools, hitlists | references/cheminformatics-databases.md |

Core Languages at a Glance

| Language | Purpose | Example | |----------|---------|---------| | SMILES | Encode a specific molecule | CC(=O)Oc1ccccc1C(=O)O | | SMARTS | Describe a molecular pattern | [OH]c1ccccc1 (phenol) | | SMIRKS | Encode a reaction transform | [C:1][Br:2]>>[C:1][I:2] |

Key Principles

  • Molecular graph: atoms = nodes, bonds = edges; properties are explicit or derived
  • Aromaticity: Hückel 4N+2 rule, all ring atoms sp² — a derived, not stored, property
  • SMILES organic subset: B, C, N, O, P, S, F, Cl, Br, I — no brackets needed at normal valence
  • SMARTS unspecified = unrestricted: O in SMARTS matches any aliphatic oxygen; in SMILES it means water
  • Tanimoto: c/(a+b+c) — the standard fingerprint similarity; double-zero independent

Related ALKYL Skills

  • rdkit — implementation of these concepts in Python
  • scientific-skills:matchms — spectrum similarity (same mathematical ideas)

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.