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…
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…
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.
Use when you are implementing ORA for metabolomics pathway analysis and must decide which metabolites constitute the statistical background against which to test your experimental…
Use when formulating the model and stating results for an Operations Research (OR) manuscript — defining the optimization/stochastic/simulation model, assumptions, and the…
Use when analyzing differential methylation from bisulfite sequencing data where you suspect overdispersion (variance exceeds binomial expectations), or when comparing uncorrected…
Use when after running DESeq() to fit negative binomial GLMs and obtaining raw p-values from results(dds), when you need to reduce false positives from multiple testing across…
Use when a teacher asks to calculate, reconcile, summarize, or classify student scores, including final grades, mastery, remedial, enrichment, statistics, or an e-Rapor-ready…
Optimize a webpage for traditional search engines (Google, Bing). Covers keyword research, competitor page analysis, on-page SEO audit with scoring, content optimization, and…
Statistical arbitrage tool for identifying and analyzing pair trading opportunities. Detects cointegrated stock pairs within sectors, analyzes spread behavior, calculates — from…
Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection — generate Latin Hypercube, quasi-random, or factorial…
Reads and transforms Apache Parquet file metadata and column statistics using PyArrow and the Parquet Thrift specification.
Profiles Apache Parquet files using pyarrow metadata APIs to extract column statistics, row group distributions, and encoding efficiency metrics without reading full datasets.
Proactively analyzes Parquet file operations and suggests optimization improvements for compression, encoding, row group sizing, and statistics.
Use when when you have an untargeted metabolomics feature table (m/z values, retention times, intensity measurements, and p-values from statistical testing) and want to p — from…
Use when after marker identification or metabolite annotation has produced a curated list of compound IDs (e.g., KEGG IDs or CAS numbers) and you need to determine which metabolic…
Use when when preparing to run ORA on a metabolomics study: you have a list of detected metabolites from your experiment and need to determine which metabolites from the full…
Use when you have a preranked gene list (e.g., genes sorted by log2 fold-change, t-statistic, or other continuous metric) and a collection of gene sets or biological pathways, and…
Use when you have normalized gene expression data (log-transformed, quantile-normalized) from a time-course or case-control experiment, a ranked gene statistic (e.g., mean…
Conjecture generation, sequence analysis, and experimental mathematics for mathematical discovery. Covers sequence analysis (OEIS lookups, recurrence relations, generating…
Use when after peak detection and before any comparative analysis (e.g., diversity indices, ordination, or statistical testing) when working with direct injection FT-ICR MS data…
Annotate ChIP-seq peaks to genomic features and genes using ChIPseeker. Assign peaks to promoters, exons, introns, and intergenic regions.
Use when after peak detection and clustering have been completed on aligned and baseline-corrected GC-IMS data, and before imputation or statistical analysis.
Use when you have centroided high-resolution Orbitrap or GC-CI-MS mzML files and a formulaTable of target compounds with known m/z, retention time, and molecular formula, and you…
Use when you have completed XCMS preprocessing (getEIC() and fillPeaks()) on untargeted LC-MS metabolomics data and need to assign per-peak quality scores prior to manual…
Use when when you have extracted peak tables from multiple independent LC/HRMS analysis batches (each with retention time and m/z values) and need to align peaks across batches to…
Prompt Engineering Instructional Language (PEIL) - generates optimised system prompts for AI agents and LLMs.
Fetch and report Peloton cycling workout statistics. Use when the user wants to see their Peloton workout data, weekly cycling stats, ride history, or performance metrics.
Penrose is an open-source platform that creates beautiful mathematical and scientific diagrams from plain text notation.
Code instrumentation for timing workloads. Two scenarios: (1) Training loop — inject manual timing to report per-iteration latency, throughput (samples/sec), and data load time.
Performance benchmarking expertise for shell tools, covering benchmark design, statistical analysis (min/max/mean/median/stddev), performance targets (<100ms, >90% hit rate),…
Analyze a specific performance regression against a defined baseline and workload using profiles, benchmarks, traces, logs, or reproducible experiments, covering algorithms, I/O,…
Estimate causal effects from existing data. Use when fitting or interpreting DiD, ITS, synthetic control, regression discontinuity, or other treatment-effect analyses, including…
Automate network traffic analysis using tshark and pyshark for protocol statistics, suspicious flow detection,
Use when after running PERMANOVA on distance matrices derived from FT-ICR MS metabolite peak intensities or other high-dimensional compositional data, when p-values indicate…
Use when you have normalized peak intensities or abundance matrices from mass spectrometry (e.
Highest level of research and reasoning capabilities for complex decision-making with significant consequences, strategic planning, technical architecture decisions,…
Expert personal finance coach with deep knowledge of tax optimization, investment theory (MPT, factor investing), retirement mathematics (Trinity Study, SWR research), and…
The PostgreSQL cumulative-statistics framework — `src/backend/utils/activity/pgstat*.c` (post-PG-15 shared-memory design).
Use when a task needs the judgment of a Physicist — designing an experiment to control systematic error, propagating measurement uncertainty through a derived quantity, evaluating…