chemist-analyst

rysweet/amplihack · updated Apr 8, 2026

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$npx skills add https://github.com/rysweet/amplihack --skill chemist-analyst
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summary

Analyze events through the disciplinary lens of chemistry, applying rigorous chemical principles (atomic theory, bonding, thermodynamics, kinetics), analytical methods (spectroscopy, chromatography, mass spectrometry), synthetic methodologies (organic, inorganic, organometallic synthesis), and subdiscipline frameworks (physical, organic, inorganic, analytical, biochemistry) to understand molecular structure, reaction mechanisms, material properties, and chemical transformations.

skill.md

Chemist Analyst Skill

Purpose

Analyze events through the disciplinary lens of chemistry, applying rigorous chemical principles (atomic theory, bonding, thermodynamics, kinetics), analytical methods (spectroscopy, chromatography, mass spectrometry), synthetic methodologies (organic, inorganic, organometallic synthesis), and subdiscipline frameworks (physical, organic, inorganic, analytical, biochemistry) to understand molecular structure, reaction mechanisms, material properties, and chemical transformations.

When to Use This Skill

  • Reaction Analysis: Understanding chemical transformations, mechanisms, intermediates, and products
  • Synthesis Planning: Designing multi-step synthetic routes to target molecules
  • Material Characterization: Identifying unknown substances or analyzing material properties
  • Process Optimization: Improving yield, selectivity, purity, or efficiency of chemical processes
  • Safety Assessment: Evaluating chemical hazards, incompatibilities, and safe handling procedures
  • Environmental Analysis: Understanding pollution, degradation pathways, and environmental chemistry
  • Drug Development: Analyzing pharmaceutical compounds, metabolism, and drug-target interactions
  • Quality Control: Ensuring chemical purity, composition, and consistency
  • Forensic Chemistry: Analyzing evidence, identifying substances, tracing origins

Core Philosophy: Chemical Thinking

Chemical analysis rests on fundamental principles:

Structure Determines Properties: Molecular structure—atoms, bonds, geometry—determines all chemical and physical properties. Understanding structure is key to understanding behavior.

Energy Governs Feasibility: Thermodynamics determines if a reaction can occur; kinetics determines if it will occur at observable rates. Both are essential.

Mechanisms Explain Transformations: Chemical reactions proceed through specific mechanisms—sequences of bond-making and bond-breaking steps. Understanding mechanisms enables prediction and control.

Analytical Rigor: Chemistry is an empirical science. Hypotheses must be tested with quantitative measurements and reproducible experiments.

Scale Matters: Chemical principles operate across scales—from quantum mechanics of individual molecules to bulk properties of materials to global biogeochemical cycles.

Green Chemistry: Modern chemistry emphasizes sustainability—minimize waste, use safer solvents and reagents, maximize energy efficiency, design for degradation.

Interdisciplinary Integration: Chemistry connects biology (biochemistry), physics (physical chemistry), medicine (medicinal chemistry), materials science, and environmental science.


Theoretical Foundations (Expandable)

Foundation 1: Atomic Structure and Bonding

Atomic Theory:

  • Matter composed of atoms (protons, neutrons, electrons)
  • Elements defined by atomic number (number of protons)
  • Isotopes differ by neutron number
  • Electron configuration determines reactivity

Quantum Mechanical Model:

  • Electrons occupy orbitals (s, p, d, f) with specific energies
  • Valence electrons determine chemical behavior
  • Aufbau principle, Pauli exclusion, Hund's rule govern electron filling

Chemical Bonding Types:

Ionic Bonding: Electrostatic attraction between oppositely charged ions

  • Typically metal + nonmetal
  • High melting points, conduct electricity when molten
  • Example: NaCl (sodium chloride)

Covalent Bonding: Sharing of electron pairs between atoms

  • Typically nonmetals
  • Localized electron density between atoms
  • Single, double, triple bonds (increasing strength and energy)
  • Example: H₂O, CH₄, O₂, N₂

Metallic Bonding: Delocalized electrons in "sea of electrons"

  • Metals
  • Conductivity, malleability, ductility
  • Example: Iron, copper, gold

Intermolecular Forces: Weaker than chemical bonds but crucial for properties

  • Hydrogen bonding: H bonded to N, O, F; strongest IMF
  • Dipole-dipole: Polar molecules
  • London dispersion: All molecules; strength increases with molecular size
  • Determine boiling points, solubility, viscosity

Molecular Geometry: VSEPR theory predicts 3D shape from electron pairs

  • Shape affects polarity, reactivity, biological activity
  • Examples: Linear (CO₂), trigonal planar (BF₃), tetrahedral (CH₄), trigonal pyramidal (NH₃), bent (H₂O)

Application: Understanding bonding and structure is foundation for predicting reactivity, properties, and behavior.

Sources:

Foundation 2: Thermodynamics (Energy and Spontaneity)

Laws of Thermodynamics:

First Law: Energy is conserved (ΔE = q + w)

  • Energy can be transferred (heat q, work w) but not created or destroyed

Second Law: Entropy (disorder) of universe increases for spontaneous processes

  • Systems tend toward maximum entropy

Third Law: Entropy of perfect crystal at 0 K is zero (provides absolute entropy scale)

Key Concepts:

Enthalpy (H): Heat content at constant pressure

  • ΔH < 0: Exothermic (releases heat)
  • ΔH > 0: Endothermic (absorbs heat)
  • Bond breaking requires energy; bond forming releases energy

Entropy (S): Measure of disorder or number of microstates

  • Gases have higher entropy than liquids than solids
  • More particles or more complex molecules increase entropy
  • Temperature increases entropy

Gibbs Free Energy (G): Combines enthalpy and entropy

  • ΔG = ΔH - TΔS
  • ΔG < 0: Spontaneous (thermodynamically favorable)
  • ΔG > 0: Non-spontaneous
  • ΔG = 0: Equilibrium

Equilibrium: State where forward and reverse reaction rates are equal

  • Characterized by equilibrium constant K
  • ΔG° = -RT ln(K)
  • K > 1: Products favored
  • K < 1: Reactants favored

Le Chatelier's Principle: System at equilibrium responds to stress by shifting to counteract it

  • Increase reactants → shift right
  • Increase products → shift left
  • Increase temperature → shift in endothermic direction
  • Increase pressure → shift toward fewer gas molecules

Application: Thermodynamics determines if reaction is favorable but says nothing about rate.

Sources:

Foundation 3: Chemical Kinetics (Reaction Rates)

Definition: Study of reaction rates and mechanisms

Rate Laws: Mathematical relationship between concentration and rate

  • Rate = k[A]^m[B]^n
  • k = rate constant (temperature-dependent)
  • m, n = reaction orders (determined experimentally)

Order of Reaction:

  • Zero order: Rate independent of concentration
  • First order: Rate proportional to concentration
  • Second order: Rate proportional to concentration squared

Half-life (t₁/₂): Time for concentration to decrease by half

  • First order: t₁/₂ = 0.693/k (independent of concentration)
  • Zero order: t₁/₂ depends on initial concentration

Arrhenius Equation: Temperature dependence of rate constant

  • k = A·e^(-Ea/RT)
  • Ea = activation energy (energy barrier)
  • A = pre-exponential factor
  • Higher temperature → faster reaction (more molecules have Ea)

Catalysis: Increases reaction rate by lowering activation energy

  • Homogeneous catalyst: Same phase as reactants
  • Heterogeneous catalyst: Different phase (often solid catalyst with gas/liquid reactants)
  • Enzyme catalysis: Biological catalysts with extraordinary specificity and efficiency

Reaction Mechanisms: Series of elementary steps leading from reactants to products

  • Elementary step: Single molecular event
  • Intermediate: Formed and consumed during reaction (not in overall equation)
  • Rate-determining step: Slowest step; controls overall rate
  • Mechanisms must be consistent with observed rate law

Application: Kinetics determines how fast thermodynamically favorable reactions occur. Essential for process design and optimization.

Sources:

Foundation 4: Organic Chemistry (Carbon Compounds)

Scope: Chemistry of carbon compounds (excluding simple oxides, carbonates, carbides)

Why Carbon?:

  • Forms four strong covalent bonds (tetrahedral)
  • Can form chains, rings, and networks
  • Bonds to most elements
  • Enables vast molecular diversity (millions of compounds)

Functional Groups: Specific atom groupings that confer characteristic reactivity

  • Alkanes: C-C and C-H bonds only (saturated hydrocarbons)
  • Alkenes: C=C double bonds
  • Alkynes: C≡C triple bonds
  • Aromatic: Benzene rings (delocalized π electrons)
  • Alcohols: -OH group
  • Aldehydes: -CHO group
  • Ketones: R-CO-R' group
  • Carboxylic acids: -COOH group
  • Amines: Nitrogen-containing (R-NH₂)
  • Amides: C(O)-N linkage (found in peptide bonds)

Key Reaction Types:

Addition: Adding atoms across multiple bond

  • Alkene + H₂ → Alkane (hydrogenation)
  • Alkene + HBr → Alkyl bromide

Elimination: Removing atoms to form multiple bond

  • Alcohol → Alkene + H₂O (dehydration)

Substitution: Replacing one atom/group with another

  • Alkyl halide + OH⁻ → Alcohol + halide (SN2)
  • Benzene + Cl₂ → Chlorobenzene (electrophilic aromatic substitution)

Oxidation/Reduction:

  • Alcohol → Aldehyde/Ketone → Carboxylic acid (oxidation)
  • Ketone/Aldehyde → Alcohol (reduction)

Stereochemistry: 3D arrangement of atoms

  • Chirality: Non-superimposable mirror images (enantiomers)
  • Diastereomers: Stereoisomers that are not enantiomers
  • Critical for biological activity (enzyme specificity)

Application: Organic chemistry is foundation of pharmaceuticals, polymers, agrochemicals, and biochemistry.

Sources:

Foundation 5: Analytical Chemistry (Measurement and Characterization)

Purpose: Identify chemical composition and quantify components

Major Techniques:

Spectroscopy: Interaction of matter with electromagnetic radiation

UV-Vis Spectroscopy: Absorption of UV or visible light

  • Measures electronic transitions
  • Applications: Concentration determination (Beer-Lambert law), conjugation, metal complexes
  • A = εbc (A = absorbance, ε = molar absorptivity, b = path length, c = concentration)

Infrared (IR) Spectroscopy: Absorption of infrared radiation

  • Measures vibrational transitions (bond stretching, bending)
  • Identifies functional groups
  • Each bond type has characteristic IR frequency (e.g., C=O ~1700 cm⁻¹, O-H ~3300 cm⁻¹)

Nuclear Magnetic Resonance (NMR) Spectroscopy: Interaction of nuclear spins with magnetic field

  • ¹H NMR: Hydrogen environments (number of signals, splitting patterns, integration)
  • ¹³C NMR: Carbon environments
  • Provides structural information (connectivity, stereochemistry)
  • Gold standard for structure elucidation

Mass Spectrometry (MS): Measures mass-to-charge ratio (m/z) of ions

  • Determines molecular weight
  • Fragmentation patterns provide structural information
  • Coupled with chromatography (GC-MS, LC-MS) for complex mixtures
  • Extremely sensitive (can detect trace amounts)

Chromatography: Separation of mixture components

Gas Chromatography (GC): Separates volatile compounds

  • Mobile phase: Inert gas (He, N₂)
  • Stationary phase: Liquid coating on solid support or capillary wall
  • Applications: Environmental analysis, forensics, petrochemicals

Liquid Chromatography (LC): Separates compounds in solution

  • HPLC: High-performance LC (high pressure, small particles)
  • Reverse-phase: Nonpolar stationary phase, polar mobile phase (most common)
  • Applications: Pharmaceuticals, biochemistry, environmental

Thin-Layer Chromatography (TLC): Simple, fast separation

  • Stationary phase: Silica gel on plate
  • Visualize spots with UV or staining
  • Applications: Reaction monitoring, purity checks

Electrochemistry: Measures electrical properties related to chemical reactions

  • Potentiometry: Measures potential (e.g., pH electrode)
  • Voltammetry: Measures current vs. potential

Application: Analytical methods are essential for identifying unknowns, monitoring reactions, quality control, and quantifying components.

Sources:


Core Analytical Frameworks (Expandable)

Framework 1: Retrosynthetic Analysis

Purpose: Plan multi-step synthesis of complex molecules by working backward from target to available starting materials

Concept: Invented by E.J. Corey (Nobel Prize 1990)

Process:

  1. Identify target molecule: What do we want to make?
  2. Work backward: What simpler precursor could lead to target?
  3. Identify disconnections: Break bonds (conceptually) to simplify structure
  4. Evaluate synthetic equivalents: For each disconnection, what actual reagents accomplish this?
  5. Repeat: Continue until reaching commercially available starting materials
  6. Forward synthesis: Plan actual reaction sequence

Key Concepts:

Disconnection: Conceptual breaking of bond to identify synthetic relationship

  • Shown with arrow pointing from target to precursor

Synthon: Idealized fragment resulting from disconnection

  • May not be stable or real

Synthetic Equivalent: Actual reagent that behaves like synthon

  • Example: Synthon R⁻ (carbanion) → Synthetic equivalent: R-MgBr (Grignard reagent)

Strategic Considerations:

  • Functional group interconversions (FGI): Change one functional group to another
  • Stereochemistry: Control absolute and relative configuration
  • Convergent vs. linear: Convergent (making separate fragments, then joining) often more efficient
  • Protecting groups: Temporarily mask reactive functional groups

Example: Target: 1-Phenyl-2-propanol (Ph-CH(OH)-CH₃)

  • Disconnection: C-C bond between phenyl and carbon bearing OH
  • Synthon: Ph⁻ + CH₃-CH(OH)⁺
  • Synthetic equivalent: PhMgBr (Grignard) + CH₃-CHO (acetaldehyde)
  • Forward synthesis: PhMgBr + CH₃-CHO → Ph-CH(OH)-CH₃

Application: Retrosynthetic analysis is fundamental skill in organic synthesis, drug development, and process chemistry.

Sources:

Framework 2: Reaction Mechanism Analysis

Purpose: Understand step-by-step process of bond breaking and forming in chemical reactions

Importance:

  • Predict products
  • Understand stereochemistry
  • Optimize conditions
  • Design new reactions

Key Elements:

Curved Arrow Notation: Shows electron movement

  • Full arrow (→): Movement of electron pair (2 electrons)
  • Half arrow (⇀): Movement of single electron (radical)
  • Arrow starts at electron source (bond or lone pair), ends at electron sink (atom or bond)

Types of Steps:

Heterolytic: Bond breaks unevenly (both electrons to one atom)

  • Creates ions (carbocation, carbanion, etc.)
  • Common in polar reactions

Homolytic: Bond breaks evenly (one electron to each atom)

  • Creates radicals
  • Common in radical reactions (initiated by heat, light, or radical initiators)

Common Mechanistic Patterns:

Nucleophilic Substitution:

  • SN2: Nucleophile attacks simultaneously as leaving group departs (backside attack, inversion of configuration)
  • SN1: Leaving group departs first (carbocation intermediate), then nucleophile attacks (racemization)

Elimination:

  • E2: Concerted (simultaneous removal of proton and departure of leaving group)
  • E1: Stepwise (leaving group departs, then proton removed from carbocation)

Addition to C=O (carbonyl):

  • Nucleophile attacks electrophilic carbonyl carbon
  • Oxygen becomes negatively charged, then protonated

Electrophilic Aromatic Substitution:

  • Electrophile attacks benzene ring
  • Carbocation intermediate (arenium ion)
  • Proton removed to restore aromaticity

Intermediates:

  • Carbocation: Carbon with positive charge (sp² hybridized, trigonal planar)
  • Carbanion: Carbon with negative charge
  • Radical: Carbon with unpaired electron
  • Carbene: Carbon with two unpaired electrons or lone pair and vacant p orbital

Factors Affecting Mechanisms:

  • Solvent polarity
  • Temperature
  • Substrate structure (sterics, electronics)
  • Reagent reactivity

Application: Understanding mechanisms enables prediction of products, stereochemistry, and side reactions.

Sources:

Framework 3: Structure-Property Relationships

Principle: Molecular structure determines physical and chemical properties

Physical Properties:

Boiling Point/Melting Point:

  • Stronger intermolecular forces → Higher BP/MP
  • H-bonding > dipole-dipole > London dispersion
  • Molecular weight: Larger molecules generally have higher BP (more London forces)
  • Branching: Decreases BP (less surface area for interactions)
  • Symmetry: Increases MP (better crystal packing)

Solubility: "Like dissolves like"

  • Polar solvents (water)
how to use chemist-analyst

How to use chemist-analyst on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add chemist-analyst
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/rysweet/amplihack --skill chemist-analyst

The skills CLI fetches chemist-analyst from GitHub repository rysweet/amplihack and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/chemist-analyst

Reload or restart Cursor to activate chemist-analyst. Access the skill through slash commands (e.g., /chemist-analyst) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.537 reviews
  • Pratham Ware· Dec 24, 2024

    Solid pick for teams standardizing on skills: chemist-analyst is focused, and the summary matches what you get after install.

  • Anaya Gupta· Dec 24, 2024

    Solid pick for teams standardizing on skills: chemist-analyst is focused, and the summary matches what you get after install.

  • Ava Thompson· Dec 4, 2024

    Registry listing for chemist-analyst matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Ava Chen· Nov 23, 2024

    Useful defaults in chemist-analyst — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Harper Srinivasan· Nov 19, 2024

    chemist-analyst reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Yash Thakker· Nov 15, 2024

    We added chemist-analyst from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Alexander Jain· Nov 15, 2024

    We added chemist-analyst from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Xiao Gonzalez· Oct 14, 2024

    I recommend chemist-analyst for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Anaya Abebe· Oct 10, 2024

    Registry listing for chemist-analyst matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Dhruvi Jain· Oct 6, 2024

    chemist-analyst fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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