Tipus
Comprovació i generació de tipus
mcp-builder
ynulihao
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
tanstack-table
Casper-Studios
Build TanStack Table components using the meta field pattern for cell callbacks instead of closures. Use when creating data tables, implementing sorting, or adding inline editing.
memory/capture-discipline
frankxai
Use when designing daily capture, note-taking, or personal-knowledge operations — defines the discipline of when, what, and where to capture. Tool-agnostic; the practice survives tool changes. Default skill for Starlight Second Brain.
data-analysis
Casper-Studios
Data analysis, visualization, and storytelling skill for financial and RevOps contexts. Use when: analyzing revenue data, building forecasts, cohort analysis, churn modeling, pipeline analytics, creating data-driven reports, building dashboards, cleaning messy data, sanity-checking analytical claims, exporting to Excel with formulas, or extracting data from PDFs. Features decision logging, bias-aware interpretation, and progressive disclosure (slide deck -> detailed report -> full notebook with all decisions documented).
better-all
Casper-Studios
Use the better-all library for Promise.all with automatic DAG-based dependency optimization and full type inference. Use when parallelizing async operations with complex dependencies.
commit
Casper-Studios
Generate commit messages following conventional commits and commit staged changes. Use when creating commits or when user invokes /commit.
code-style-reviewer
devstefancho
Code style principle-based review - checks SRP (Single Responsibility Principle), DRY (Don't Repeat Yourself), Simplicity First, YAGNI (You Aren't Gonna Need It), and Type Safety. Also evaluates code structure and naming conventions. Automatically used when code review is needed.
react-patterns
Casper-Studios
Write React components with minimal state, proper memoization, and type-safe patterns. Use when creating components, managing state, or optimizing renders.
startup-validator
ailabs-393
Comprehensive startup idea validation and market analysis tool. Use when users need to evaluate a startup idea, assess market fit, analyze competition, validate problem-solution fit, or determine market positioning. Triggers include requests to "validate my startup idea", "analyze market opportunity", "check if there's demand for", "research competition for", "evaluate business idea", or "see if my idea is viable". Provides data-driven analysis using web search, market frameworks, competitive research, and positioning recommendations.
qfi
unitarylab
Compute the Quantum Fisher Information (QFI) matrix for a pure parameterized quantum state using the Quantum Geometric Tensor (QGT). Extracts the real part of the QGT and scales it by 4.
parameter-shift
unitarylab
Analytic quantum gradient estimation via the parameter shift rule. Supports both Estimator (expectation value gradients) and Sampler (probability distribution gradients) primitives. Requires circuits composed exclusively of supported gate types.
taylor
unitarylab
"Simulate the time evolution of a quantum system using Taylor series expansion."
vqd
unitarylab
Variational Quantum Deflation (VQD) eigensolver for computing the lowest excited states of a quantum operator with Qiskit primitives.
schrodingerization
unitarylab
Quantum PDE solvers using Schrodingerization, transforming non-unitary PDEs into unitary Schrodinger-type dynamics for quantum simulation. Currently covers advection, backward heat, and heat equations in 1D/2D.
newebpay-checkout
paid-tw
Implements NewebPay MPG checkout integration including AES256 encryption, form submission, and payment callback handling. Use when integrating payment gateway, creating checkout flows, or building 藍新金流 payment pages.
hadamard-test
unitarylab
A quantum algorithm that uses the Hadamard test to estimate the expectation value of a unitary operator with respect to a given quantum state. This algorithm is fundamental in quantum computing and has applications in various quantum algorithms, including quantum phase estimation and variational quantum algorithms.
Computational Text Analysis Agent
nealcaren
Claude Code plugins for quantitative and qualitative sociological research
numyeigensolver
unitarylab
Exact classical eigensolver for quantum operators using NumPy and SciPy backends, with optional auxiliary operator evaluation and eigenpair filtering.
payuni-checkout
paid-tw
Implements PAYUNi UPP checkout integration including AES256 encryption, form submission, and payment callback handling. Use when integrating payment gateway, creating checkout flows, or building 統一金流 payment pages.
finite-difference
unitarylab
Quantum gradient estimation via finite difference method. Supports both Estimator (expectation value gradients) and Sampler (probability distribution gradients) primitives with central, forward, and backward difference schemes.
reverse
unitarylab
Reverse-mode statevector gradient and QGT computation for parameterized circuits using Qiskit Algorithms classes ReverseEstimatorGradient and ReverseQGT.
copilot-sdk
intellectronica
This skill provides guidance for creating agents and applications with the GitHub Copilot SDK. It should be used when the user wants to create, modify, or work on software that uses the GitHub Copilot SDK in TypeScript, Python, Go, or .NET. The skill covers SDK usage patterns, CLI configuration, custom tools, MCP servers, and custom agents.
copilot-sdk
intellectronica
This skill provides guidance for creating agents and applications with the GitHub Copilot SDK. It should be used when the user wants to create, modify, or work on software that uses the GitHub Copilot SDK in TypeScript, Python, Go, or .NET. The skill covers SDK usage patterns, CLI configuration, custom tools, MCP servers, and custom agents.
nuxt-enums
leeovery
TypeScript enum pattern with Castable interface for model integration. Use when creating enums with behavior methods (colors, labels), defining fixed value sets, or integrating enums with the model casting system.