Use when turning the synthesis results of a Psychological Bulletin manuscript into a genuine theoretical contribution — reconciling conflicting findings, building or refining a…
Use when deciding whether a question is review-worthy and meta-analyzable for Psychological Bulletin and which synthesis type fits (meta-analysis, systematic review,…
Use as the entry point for any Psychological Bulletin manuscript. Routes to the right psychbull sub-skill based on where you are in the research-synthesis lifecycle and which…
Put your AI on a Performance Improvement Plan. Forces exhaustive problem-solving with Western big-tech performance culture rhetoric and structured debugging.
PUA Loop — autonomous iterative development with autoresearch-style gate protocol. Runs FOREVER until verified done.
Query PubChem, search by name/CID/SMILES, retrieve properties, similarity/substructure searches, bioactivity, for cheminformatics.
Use when your metadata table contains compound names but lacks structure information (SMILES, InChI, molecular formula, or PubChem CID).
Use when you have an experimental MS/MS spectrum (m/z and intensity pairs with known precursor m/z) and need to identify the compound by searching against public repositories or a…
Use when targeting 《财政研究》(Public Finance Research — 财政部主管、中国财政学会主办、不收版面费的财政学权威核心月刊, CNKI 采编系统) or deciding whether a Chinese public-finance manuscript fits this venue.
Find public community language, market signals, launch feedback, and technical discussion across X/Twitter, Bluesky, Hacker News, and other public social sources.
Tracks every manuscript, paper, and research output currently in the publication pipeline from email — where each is in the review and submission process, what reviewer feedback…
Search PubMed for scientific literature, including published clinical trials. Fetch abstracts and full text.
Search PubMed for scientific literature. Use when the user asks to find papers, search literature, look up research, find publications, or asks about recent studies.
Generate ~5 actionable research topic recommendations by querying PubMed E-utilities; use when a user provides a research direction/constraints and needs evidence-backed topic…
Run Kaggle training-first experiment loops with local CV, durable artifacts, and approval-gated submissions.
Use when reading, writing, or validating binned and/or unbinned statistical models in the HS3 (HEP Statistics Serialization Standard) JSON format: converting between HistFactory…
Visualize, analyze, and render protein and molecular structures using PyMOL. Use when the user wants to create images of protein structures, perform structural alignments or…
Use when running molecular quantum chemistry calculations in Python. Computes single-point energies, optimized geometries, vibrational frequencies, and population analysis using…
Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological — from…
Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological — from…
Therapeutics Data Commons (TDC) AI-ready drug discovery datasets. Curated ADME, toxicity, DTI, DDI with scaffold/cold splits, standardized metrics, molecular oracles, and ADMET…
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,…
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 real…
IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools.
Specialized interop skill for deliberate experiments with native Qiskit Machine Learning abstractions.
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.
AI Trading Assistant for quantumstocks.ru. Automated hedge fund with market analysis, risk management, and trade execution via n8n MCP.
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…
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.
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…
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…
Deep code and system analysis using the Quantum Cognitive OS. Use when analyzing code, architectures, or complex systems that benefit from multi-dimensional reasoning.
Use when when you have SMILES strings or molecular formulae for N-Me derivatized unsaturated sterol lipids and need to generate theoretical MS/MS spectra (predicted fragment m/z…
Use when when you have a collection of N-Me derived unsaturated sterol lipid identifiers or structures and need to generate predicted collision cross section (CCS) values for…