Use when after statistical analysis (e.g., MB-PLS with permutation testing) has identified a subset of significant LC-MS features (p < 0.05 or similar threshold) that require…
Use when after MamsiStructSearch has completed structural clustering of statistically significant LC-MS features (p < 0.
Use when you have extracted clustering or classification accuracy metrics (NMI, ARI, purity scores) for two or more competing methods evaluated on multiple datasets, and need to…
Audit a minimum-necessary research Question Pack for evaluation validity, leakage, confounding, statistics, reproducibility, falsification, and evidence quality.
Use when after calculating differential methylation across samples using calculateDiffMeth(), when you need to separately enumerate and extract hyper-methylated (increased…
DNA methylation analysis with methylKit in R. Import Bismark coverage files, filter by coverage, normalize samples, and perform statistical comparisons.
Analyze DNA microarray data from GEO datasets. Use when asked to analyze microarray data, perform differential expression analysis, or when given a GEO accession (GSE*).
Use when after feature extraction and quality control filtering (blank masking, sample dropping, normalization) have been applied, but before statistical analysis or machine…
Detects and prevents data leakage in machine learning and mathematical modeling. Use after ML tasks involving data cleaning, feature engineering, data augmentation, algorithm…
Use when revising an MLSys paper's prose and structure, building the measured-bottleneck opening, naming the mechanism instead of listing optimizations, writing evaluation…
Stage 3.5 of the mathematical modeling pipeline. Performs global quality review of all task outputs using an independent subagent with percent-based scoring.
Implement automated machine learning model performance monitoring, statistical data drift (KS-test, PSI, Wasserstein distance), concept drift detection, and prediction quality…
Independent model QA expert who audits ML and statistical models end-to-end - from documentation review and data reconstruction to replication, calibration testing, inter — from…
Validate neuronal dynamics implementations against analytic solutions, limiting cases, nullcline predictions, or known statistical identities, and add focused tests in the…
Use when you have a fitted linear model (lmFit object) from microarray, RNA-seq, qPCR, or proteomics data and need to test for differential expression across genes while…
Estrategia e implementacao de monetizacao para produtos digitais - Stripe, subscriptions, pricing experiments, freemium, upgrade flows, churn prevention, revenue optimization e…
Implement model drift monitoring using Evidently AI, statistical tests (PSI, KS), and custom metrics to detect data drift and concept drift in production ML systems.
Monitor Proxmox infrastructure health and performance. Track node statistics, analyze resource utilization, and identify optimization opportunities across your cluster.
Monitors CockroachDB background job health by identifying failed, paused, and long-running jobs using SHOW JOBS and SHOW AUTOMATIC JOBS.
Track and analyze Monkeytype typing statistics with improvement tips. Use when user mentions "monkeytype", "typing stats", "typing speed", "WPM", "typing practice", "typing…
Use when when you have ranked gene statistics and gene set collections, and your analysis requires P-value discrimination below a fixed lower bound (e.g., distinguishing between…
Use when after identifying a set of differentially accessible peaks (via tl.diff_test or equivalent), when you need to infer which transcription factors may regulate the observed…
Use when you have a Thermo Fisher Scientific .raw file from an Orbitrap instrument and need to programmatically retrieve MS1 spectral attributes (base-peak m/z, intensity,…
Use when building the analytical model or operational mechanism at the core of a Manufacturing & Service Operations Management (M&SOM) manuscript — formulating the decision,…
Use when you have statistically significant features from multiple LC-MS assays with different ionization modes (e.g., positive and negative ESI) and need to collapse redundant…
Use when you have raw metabolomics data files in one or more of the supported formats (.raw from Thermo instruments, .d directories from Agilent, or mzXML open-format exports) and…
Run multiple AI models in parallel for 3-5x speedup with ENFORCED performance statistics tracking. Use when validating with Grok, Gemini, GPT-5, DeepSeek, MiniMax, Kimi, GLM, or…
Use when you have raw metabolomics data in mzML or mzXML format and need to extract ion features, align them across samples, and produce a normalized feature table for downstream…
Use when after generating a q-value bedgraph track from ChIP-Seq pileup versus local lambda comparison, and you need to identify statistically significant narrow peaks with…
Knowledge base from the NASA Schedule Management Handbook (2024 edition, Revision 2). Use for program/project schedule management of aerospace and large engineering efforts: the…
Audit, revise, or draft manuscript statistical reporting for Nature / high-impact journal submissions.
Use to enforce NEJM's clinical statistical reporting — confidence intervals over bare P values, the pre-specified intention-to-treat primary analysis, multiplicity control for…
Use as the final preflight before submitting to NEJM — a complete clinical checklist across significance, registration, reporting guidelines, abstract, statistics, display items,…
Use when you have an untargeted metabolomics feature table with m/z values, retention times, intensity measurements, and p-values from statistical testing, but lack or wi — from…
Use when after executing a molecular networking workflow on GC-MS data that has been processed through auto-deconvolution, and a published reference network exists from a prior…
Use when after identifying statistically significant features and assigning them to structural clusters (isotopologue groups, adduct groups, cross-assay links) and correlation…
Python toolkit for neurophysiological signal processing: ECG (HR, HRV, R-peaks), EEG (complexity, PSD), EMG (activation onset), EDA/GSR (SCR decomposition), PPG, and RSP.
Use when when working with raw 1H NMR FID data acquired on instruments like Bruker Avance spectrometers that require baseline correction, phase adjustment, and signal alignment…
Quality control and normalization for metabolomics data. Covers QC-based correction, batch effect removal, and data transformation methods.
Use when making an NSDI paper's results reconstructible — capturing testbed topology, trace provenance, and configuration while experiments run, planning which datasets can ship…
Compute federated statistics over tabular data (count, sum, mean, stddev, var, histogram, quantile, noise-protected min/max) and image data (count, failure_count, pixel-intensity…
Använd denna färdighet när användaren frågar om OECD, OECD-statistik, internationell jämförelse, BNP jämförelse länder, arbetslöshet internationellt, utbildningsstatistik…
Identifies the most authoritative official source for a given statistical indicator and tells you exactly where to find the most recent figures, what the data covers, and what to…
Query New Zealand Public Service Commission six-monthly OIA compliance statistics with per-period and per-agency views, including timeliness, extensions, transfers, refusals,…
Manage the LLM response cache. View cache statistics, clear entries, configure TTL policies, and control semantic-similarity caching thresholds.
Manage OmniFocus tasks via JavaScript for Automation (JXA) scripts. Use when the user asks Clawdbot to interact with OmniFocus, including - (1) Adding tasks to inbox, (2) Listing…
onefetch is a Rust CLI tool that displays project information and code statistics for Git repositories directly in the terminal.
Design statistically honest and uncertainty-aware visualizations. Use when the user needs help showing distributions, intervals, confidence, missingness, sampling effects — from…
查询 GLM 编码套餐使用统计，包括配额、模型使用和 MCP 工具使用情况 | Query GLM coding plan usage statistics, including quota, model usage, and MCP tool usage
Generate publication-quality academic diagrams, methodology figures, architecture illustrations, and statistical plots from text descriptions using the PaperBanana multi-agent AI…
evaluating open deviation bar signal quality, computing Sharpe ratios with non-IID bars, running PSR/DSR/MinTRL statistical tests, or assessing.
Build custom LLM evaluation pipelines using the OpenJudge framework. Covers selecting and configuring graders (LLM-based, function-based, agentic), running batch evaluations with…
Use when targeting Operations Research (OR) or deciding whether an optimization / stochastic-models / queueing / applied-mathematical-modeling manuscript fits this venue.
Rank, prioritize, or compare PhD opportunities by fit, funding, research impact, and admission probability so the applicant knows where to spend effort.
Use this agent when you need to research domains, hosting providers, tools, or find cost optimization opportunities.
Guide agent-driven parameter optimization for configurable systems with measurable objectives. Use for HPO, inference tuning, simulations, or RL/control experiments.
Build or repair a design-idea-guided optimization cron for a repository. Use when the user provides a design philosophy and wants a Stage_*_AR_Blueprint.md with at most 100…
When the user wants to build optimization models, solve mathematical programming problems, or find optimal solutions.
Design or audit a metric, KPI, score, reward, ranking, completion predicate, gate, evaluator, or automated optimization target for Goodhart effects, reward hacking, specification…
Optimize Apache Spark SQL and DataFrame queries using the final Adaptive Query Execution plan and runtime statistics rather than source code alone.