torchdrug

21.8k

davila7

Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets, for PyTorch-based ML on molecules, proteins, and biomedical graphs.

rowan

10.8k

K-Dense-AI

Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve quantum chemistry calculations, molecular property prediction, DFT or semiempirical methods, neural network potentials (AIMNet2), protein-ligand binding predictions, or automated computational chemistry pipelines. Provides cloud compute resources with no local setup required.

javascript-testing-expert

4.8k

dubzzz

Expert-level JavaScript testing skill focused on writing high-quality tests that find bugs, serve as documentation, and prevent regressions. Advocates for property-based testing with fast-check and protects against indeterministic code in tests. Does not cover black-box e2e testing.

property-based-testing

3.0k

trailofbits

Provides guidance for property-based testing across multiple languages and smart contracts. Use when writing tests, reviewing code with serialization/validation/parsing patterns, designing features, or when property-based testing would provide stronger coverage than example-based tests.

property-based-test-helper

1.5k

jeremylongshore

Assist with property based test helper operations. Auto-activating skill for Test Automation. Triggers on: property based test helper, property based test helper Part of the Test Automation skill category. Use when writing or running tests. Trigger with phrases like "property based test helper", "property helper", "property".

copyright-docs

1.4k

catlog22

Generate software copyright design specification documents compliant with China Copyright Protection Center (CPCC) standards. Creates complete design documents with Mermaid diagrams based on source code analysis. Use for software copyright registration, generating design specification, creating CPCC-compliant documents, or documenting software for intellectual property protection. Triggers on "software copyright", "design specification", "copyright registration", "CPCC", "software copyright application".

thermodynamic-model-selector

376

a5c-ai

Automated thermodynamic property method selection based on component characteristics and operating conditions

echidna-fuzzer

376

a5c-ai

Property-based testing and fuzzing using Echidna for smart contracts. Includes invariant definition, corpus management, coverage analysis, and CI/CD integration for comprehensive security testing.

testing-strategies

296

ancoleman

Strategic guidance for choosing and implementing testing approaches across the test pyramid. Use when building comprehensive test suites that balance unit, integration, E2E, and contract testing for optimal speed and confidence. Covers multi-language patterns (TypeScript, Python, Go, Rust) and modern best practices including property-based testing, test data management, and CI/CD integration.

property-based-testing

133

ed3dai

Use when writing tests for serialization, validation, normalization, or pure functions - provides property catalog, pattern detection, and library reference for property-based testing

robotics-testing

112

arpitg1304

Testing strategies, patterns, and tools for robotics software. Use this skill when writing unit tests, integration tests, simulation tests, or hardware-in-the-loop tests for robot systems. Trigger whenever the user mentions testing ROS nodes, pytest with ROS, launch_testing, simulation testing, CI/CD for robotics, test fixtures for sensors, mock hardware, deterministic replay, regression testing for robot behaviors, or validating perception/planning/control pipelines. Also covers property-based testing for kinematics, fuzz testing for message handlers, and golden-file testing for trajectories.

property-based-testing

95

aj-geddes

Design property-based tests that verify code properties hold for all inputs using automatic test case generation. Use for property-based, QuickCheck, hypothesis testing, generative testing, and invariant verification.

Rust Testing Patterns

71

PramodDutta

Rust testing with built-in test framework, integration tests, doc tests, property-based testing with proptest, and cargo test configuration.

Property-Based Testing

71

PramodDutta

Property-based testing using hypothesis, fast-check, and QuickCheck to generate random test inputs and verify program invariants automatically.

Python Testing Patterns

71

PramodDutta

Comprehensive Python testing best practices with pytest, covering unit testing, integration testing, mocking, fixtures, property-based testing, and test architecture.

Hypothesis

39

anam-org

Use Hypothesis for property-based testing to automatically generate comprehensive test cases, find edge cases, and write more robust tests with minimal example shrinking. Includes Polars parametric testing integration.

test-architect

29

omer-metin

Testing strategy specialist for test pyramid design, test isolation, property-based testing, and quality gatesUse when "testing, test strategy, unit test, integration test, e2e, property testing, test pyramid, flaky test, test coverage, quality gate, testing, pytest, jest, unit-testing, integration-testing, e2e, property-testing, tdd, quality, ml-memory" mentioned.

torchdrug

26

lifangda

Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets, for PyTorch-based ML on molecules, proteins, and biomedical graphs.

python3-test-design

23

Jamie-BitFlight

This skill should be used when the user asks to "design a test strategy", "plan test coverage", "create test architecture", "review test structure", or mentions test planning patterns like TDD, BDD, or property-based testing. Provides guidance for pytest test suite architecture and design decisions.

java-testing-advanced

19

pluginagentmarketplace

Advanced testing — Testcontainers, contract testing, mutation testing, property-based testing

effect-testing

16

front-depiction

Write comprehensive tests using @effect/vitest for Effect code and vitest for pure functions. Use this skill when implementing tests for Effect-based applications, including services, layers, time-dependent effects, error handling, and property-based testing.

rowan

15

oimiragieo

Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve quantum chemistry calculations, molecular property prediction, DFT or semiempirical methods, neural network potentials (AIMNet2), protein-ligand binding predictions, or automated computational chemistry pipelines. Provides cloud compute resources with no local setup required.

testing

13

williamzujkowski

Comprehensive testing standards including unit, integration, security, and property-based testing with TDD methodology

python-testing-patterns

11

NickCrew

Python testing patterns and best practices using pytest, mocking, and property-based testing. Use when writing unit tests, integration tests, or implementing test-driven development in Python projects.

python-testing

10

taurgis

Python testing best practices covering pytest, unittest.mock, property-based testing with Hypothesis, fixtures, and mocking patterns

multiversx-property-testing

10

multiversx

Use property-based testing and fuzzing to find edge cases in smart contract logic. Use when writing comprehensive tests, verifying invariants, or searching for unexpected behavior with random inputs.

hypothesis-testing

10

laurigates

Property-based testing with Hypothesis for discovering edge cases and validating invariants. Use when testing code with many possible inputs, verifying mathematical properties, testing serialization round-trips, or finding edge cases that example-based tests miss.

property-based-testing

10

laurigates

Property-based testing with fast-check (TypeScript/JavaScript) and Hypothesis (Python). Generate test cases automatically, find edge cases, and test mathematical properties. Use when user mentions property-based testing, fast-check, Hypothesis, generating test data, QuickCheck-style testing, or finding edge cases automatically.

testing-patterns

9

lambdamechanic

Testing patterns and standards for this codebase, including async effects, fakes vs mocks, and property-based testing.

fast-check

9

TerminalSkills

Find edge-case bugs with property-based testing using fast-check — generate thousands of random inputs automatically. Use when someone asks to "find edge cases", "fast-check", "property-based testing", "fuzz testing in TypeScript", "generate random test data", "QuickCheck for JavaScript", or "test with random inputs". Covers property definitions, arbitraries, shrinking, model-based testing, and integration with Vitest/Jest.

preferences-algebraic-laws

8

cameronraysmith

Algebraic laws including functor/monad laws and property-based testing strategies. Load when verifying algebraic properties or writing property tests.

testing

7

AbdelStark

Comprehensive testing strategies for Guts including unit tests, integration tests, property-based testing, and fuzzing

property-based-testing

7

plurigrid

Provides guidance for property-based testing across multiple languages and smart contracts. Use when writing tests, reviewing code with serialization/validation/parsing patterns, designing features, or when property-based testing would provide stronger coverage than example-based tests.

accelint-ts-testing

6

gohypergiant

Comprehensive vitest testing guidance for TypeScript projects. Use when (1) Writing new tests with AAA pattern, parameterized tests, or async/await, (2) Reviewing test code for anti-patterns like loose assertions (toBeTruthy), over-mocking, or nested describe blocks, (3) Optimizing slow test suites, (4) Implementing property-based testing with fast-check - especially for encode/decode pairs, roundtrip properties, validators, normalizers, and idempotence checks. Covers test organization, assertions, test doubles hierarchy (fakes/stubs/mocks), async testing, performance patterns, and property-based testing patterns. Trigger keywords on vitest, *.test.ts, describe, it, expect, vi.mock, fast-check, fc.property, roundtrip, idempotence.

bupkis-property-testing

5

boneskull

This skill should be used when the user asks to "write property tests", "add property tests", "create property-based tests", "use @bupkis/property-testing", or mentions "PropertyTestConfig", "fast-check generators", or "property testing for bupkis assertions". Provides guidance for writing property-based tests for bupkis plugin assertions using @bupkis/property-testing and fast-check.

property-based-test-generator

4

Dexploarer

Generates property-based tests using Hypothesis (Python), fast-check (JavaScript/TypeScript), or QuickCheck (Haskell). Use when user asks to "generate property tests", "create hypothesis tests", "add property-based testing", or "generate fast-check tests".

select-print-material

2

pjt222

Choose 3D printing materials based on mechanical, thermal, and chemical requirements. Covers PLA, PETG, ABS, ASA, TPU, Nylon, and resin variants with property comparisons. Use when selecting material for parts with specific mechanical or thermal requirements, choosing for outdoor or chemical exposure, evaluating food-safe or biocompatible applications, balancing printability vs. performance, or troubleshooting material-related print failures.

select-print-material

2

pjt222

Choose 3D printing materials based on mechanical, thermal, and chemical requirements. Covers PLA, PETG, ABS, ASA, TPU, Nylon, and resin variants with property comparisons. Use when selecting material for parts with specific mechanical or thermal requirements, choosing for outdoor or chemical exposure, evaluating food-safe or biocompatible applications, balancing printability vs. performance, or troubleshooting material-related print failures.

Python Testing Patterns

1

KaliBellion

Comprehensive Python testing best practices with pytest, covering unit testing, integration testing, mocking, fixtures, property-based testing, and test architecture.

testing-patterns

1

101mare

pytest patterns, fixtures, mocking, parametrize, and property-based testing. Use when writing tests, improving coverage, or setting up test infrastructure. Recognizes: "testing-patterns", "write tests", "pytest patterns", "how to mock", "test fixtures", "parametrize", "property-based testing", "test organization", "improve coverage", "hypothesis tests"

Rust testing

1

michaelkeevildown

Rust testing — unit tests, integration tests, test organization, mocking, and property-based testing.

CRM Lead Scorer

Eli-yu-first

Scores real estate leads based on engagement, budget, timeline, and property preference matching

testing-strategy

medy-gribkov

Comprehensive testing expertise across unit, integration, and e2e tests. Covers pytest, Vitest, Jest, Go testing, Playwright, Cypress. Test pyramids, TDD workflow, mocking patterns, coverage targets, property-based testing, snapshot testing, parameterized tests, fixtures, CI integration. Use when writing tests, designing test architecture, improving coverage, or setting up testing infrastructure.

property-test

ERP-CORE-DEV

Generate property-based tests with FsCheck or fast-check

property-based-testing

arielperez82

Provides guidance for property-based testing across multiple languages and smart contracts. Use when writing tests, reviewing code with serialization/validation/parsing patterns, designing features, or when property-based testing would provide stronger coverage than example-based tests.

go-fuzz-testing

sentenz

Automates fuzz test creation for Go projects using Go's native fuzzing engine with consistent software testing patterns. Use when creating fuzz tests, mutation testing, or when the user mentions fuzzing, coverage-guided testing, or property-based testing.

set-note-description

nweii

Generate or update the description frontmatter property for a note. Selects Summary mode or Meta mode based on content type. Use when asked to create a description frontmatter summary for a note.

rowan

reikiplanet

Cloud-based quantum chemistry platform with a Python API. Ideal for computational chemistry workflows such as pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein–ligand docking (AutoDock Vina), and AI-driven protein cofolding (Chai-1, Boltz-1/2). Use it when tasks require quantum chemistry calculations, molecular property prediction, DFT or semiempirical methods, neural-network potentials (AIMNet2), protein–ligand binding predictions, or automated computational chemistry pipelines. Provides cloud compute resources with no local setup required.