Deep learning framework (PyTorch Lightning / lightning package). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines,…
Use when when building a graph-based molecular property prediction model that must process both molecular structures (as heterogeneous graphs) and tabular metadata…
Generate and manage Quantum ESPRESSO (pw.x) DFT calculations. Use when the user requests QE, Quantum ESPRESSO, pw.x, or plane-wave pseudopotential calculations outside VASP.
Use when the identification argument is the bottleneck for a Quantitative Economics (QE) manuscript — whether causal identification in an empirical design, parameter…
Use early, when judging whether a project fits Quantitative Economics (QE) — a substantive economic question answered with serious quantitative methods (empirical,…
Belief propagation with ordered-statistics post-processing (BP-OSD) for QECTOR. Covers the box-plus kernel phi(x) = -ln(tanh(x/2)), the log-domain sum-product / min-sum / relay…
Core domain knowledge and verified facts for the QECTOR quantum error correction platform. Covers the supported app-free qector-decoder-v3 library MCP server first, plus the…
Teaching and documentation content for quantum error correction with QECTOR: beginner-to-advanced tutorials, ELI5 explanations of syndromes/decoders/ parity checks, Tanner-graph…
Physical-layer quantum circuits, detector-error-model preparation, qLDPC reasoning, and honest target-device hardware reporting for QECTOR.
The strict mathematical ground rules for every QECTOR claim. Encodes the F2 notation, the 16 correctness theorems, the Wilson score interval for LER, the…
Reproducibility and claim boundaries for QECTOR (manual 19, 22, 27, Appendix D). Covers the chapter 22.3 required-artifact metadata, the safe / unsafe wording rule (manual 22.5),…
Quantum error correction research workflows on the QECTOR platform: threshold discovery, finite-size scaling, LER benchmarking with confidence intervals, decoder comparison, and…
Deep web research and HTML report generation. When GLM needs to conduct systematic information gathering and analysis for: (1) Exploring open-ended questions through multi-step…
Ecology for developing ideas through concept exploration, research, and implementation.
Qiskit is the world's most popular open-source quantum computing framework with 13M+ downloads. Build quantum circuits, optimize for hardware, execute on simulators or re — from…
IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools.
Comprehensive quantum computing toolkit for building, optimizing, and executing quantum circuits. Use when working with quantum algorithms, simulations, or quantum hardware…
IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools.
Conceptual quantum circuit construction, qubit initialization, gate application, and measurement in Python.
Specialized interop skill for deliberate experiments with native Qiskit Machine Learning abstractions.
Designing and executing quantum algorithms using IBM Qiskit v1.0+. Use when constructing quantum circuits, variational quantum algorithms (VQE/QAOA), quantum machine learning…
Qiskit is the world's most popular open-source quantum computing framework with 13M+ downloads. Build quantum circuits, optimize for hardware, execute on simulators or re — from…
Use when scoping or pressure-testing a research question for a Quarterly Journal of Economics (QJE) submission — checks fit, the "big idea" bar, and breadth of the takeaway for…
Part of the quantum-loop autonomous development pipeline (brainstorm \u2192 spec \u2192 plan \u2192 execute \u2192 review \u2192 verify).
Multi-perspective post-implementation review aggregator for quantum-loop. Invokes 2-7 reviewer agents in parallel based on risk score, applies actionability filter, dedups,…
Part of the quantum-loop autonomous development pipeline (brainstorm \u2192 spec \u2192 plan \u2192 execute \u2192 review \u2192 verify).
Intent-drift audit for quantum-loop. Compares the user's original intent (immutable snapshot) against downstream artifacts (design.md → PRD → quantum.json ACs → implementation) to…
Part of the quantum-loop autonomous development pipeline (brainstorm \u2192 spec \u2192 plan \u2192 execute \u2192 review \u2192 verify).
Part of the quantum-loop autonomous development pipeline (brainstorm \u2192 spec \u2192 plan \u2192 execute \u2192 review \u2192 verify). Two-stage code review.
Part of the quantum-loop autonomous development pipeline (brainstorm \u2192 spec \u2192 plan \u2192 execute \u2192 review \u2192 verify).
Part of the quantum-loop autonomous development pipeline (brainstorm \u2192 spec \u2192 plan \u2192 execute \u2192 review \u2192 verify). Iron Law verification gate.
Use when you have completed parallel QUICK quantum calculations on multiple conformers filtered by ASE-ANI and need to extract electronic properties from the output logs and…
Grounding skill for framing quantum machine learning problems before implementation.
Research translation skill for turning QML papers into concrete implementation and evaluation plans.
Reproducibility skill for making PennyLane plus PyTorch QML experiments rerunnable, comparable, and defensible.
Build, run, measure, visualize, verify, and explain quantum circuits with the bundled qni CLI. Use for quantum-circuit tasks, including Quantum Katas, superdense coding, state…
Worktree-Question-Research-Design-Structure-Plan-Implement-PR phase discipline with gate enforcement — loaded by orchestrator to govern pipeline phase transitions, artifact…
AI Trading Assistant for quantumstocks.ru. Automated hedge fund with market analysis, risk management, and trade execution via n8n MCP.
商管博士班『學科資格考』備考教練,專為策略組織與人資組設計。涵蓋領域:組織理論與行為(制度理論、資源依賴、組織生態、權變、交易成本、動機、領導、JD-R、承諾)、管理心理學(五大人格、知覺歸因偏誤、決策捷思、情緒勞動、幸福感)、策略與創新(RBV/VRIO、動態能力、Porter…
Research one sourced company, decide whether and how to approach it, and write a verdict card with a URL for every fact. Use before any draft.
Use when conducting customer discovery interviews, user research, surveys, focus groups, or observational research requiring rigorous analysis - provides systematic 6-phase…
Automates critical appraisal and quality assessment for research papers by analyzing text against established methodological standards (such as risk of bias tools, quality…
Evaluate ENCODE experiment quality using standard metrics and audit flags. Use when the user asks about data quality, wants to filter for high-quality experiments, needs to…
Use when you have a feature intensity matrix (peak vector) and a corresponding set of QC sample indices from a multi-batch LC/GC-MS experiment, and you need to establish…
Use when you have a SummarizedExperiment object containing pooled quality control samples with measured compound and internal standard peak areas.
Use when you have preprocessed metabolomics data stored in a SummarizedExperiment
Scan a project to detect configured quality and testing tools across JVM (Gradle/Maven), Android (AGP/Compose/KMP), Node.js/TypeScript, and Python ecosystems.
Fail-closed crypto quant alpha research for repo-native Stage 0/0.5 validation, falsification, provider concordance, and promotion decisions.
Build financial models, backtest trading strategies, and analyze market data. Implements risk metrics, portfolio optimization, and statistical arbitrage.
Expert in quantitative finance, algorithmic trading, and financial data analysis using Python (Pandas/NumPy), statistical modeling, and machine learning.
Expert in quantitative finance, algorithmic trading, and financial data analysis using Python (Pandas/NumPy), statistical modeling, and machine learning.
Define, test, and stress-test a quantitative factor (momentum, value, carry, quality) with explicit universe, signal, weighting, and statistical checks.
Use for quant finance research — backtests, risk, portfolios, derivative and bond pricing; no orders.
Activates for quantitative-finance, algorithmic-trading, alpha-factor work, backtests, return prediction, regime detection, portfolio construction, financial machine learning,…
Set up a multi-agent quantitative research and trading team with file-based planning. Use when: (1) user asks to start a new complex quant project with a team, (2) user says "set…
Use when establishing measurement programs, analyzing metrics with statistical process control, setting baselines, or implementing CMMI Level 4 quantitative management - prevents…
World-class systematic trading research - backtesting, alpha generation, factor models, statistical arbitrage. Transform hypotheses into edges.
Gunakan skill ini saat mengimplementasikan fitur baru end-to-end di QuantLab — dari requirements, desain, backend engine, endpoint, frontend component, testing, sampai dokumentasi…
Academic reference for Shor's algorithm period finding and Grover's diffusion operator.
Deep code and system analysis using the Quantum Cognitive OS. Use when analyzing code, architectures, or complex systems that benefit from multi-dimensional reasoning.