Use when when training a regularized deep neural network for molecular property regression (e.g., retention time prediction on the METLIN SMRT dataset with 80,038+ samples), use…
Count the total number of MCP tools in the Umbraco MCP Server project and provide a breakdown by collection.
Provides canonical entity counts from count-manifest.json. Use when agents need to reference how many agents, skills, instructions, or validators exist.
Decode a counteroffer after you resign — what the raise, promotion promise, or title bump really signals, the statistics-informed risks of staying, and a clear-eyed decision…
Use when after calculateDiffMeth() has been run on a methylBase object and you have a methylDiff object with q-values and methylation difference estimates.
Process CRISPR screening data to identify essential genes and hit candidates. Performs quality control, statistical analysis (RRA), and hit calling for pooled CRISPR screens…
End-to-end CRISPR screen analysis from FASTQ to hit genes. Orchestrates guide counting, QC, statistical analysis with MAGeCK, and hit calling with multiple methods.
Critique academic figures for print quality, accessibility, legibility, visual encoding, and statistical presentation.
Use when when you have submitted the same MS/MS spectrum query to multiple domain-specific MASST tools and need to compare matches, combine ranked results, or generate…
Computer science research standards including algorithm complexity analysis, benchmark standards, and artifact evaluation
自然语言分析CSV/Excel,统计/筛选/异常/图表。Analyze CSV files with simple commands. Get instant statistics, filter data, detect anomalies, and e。适用于多种工作场景,提供专业的能力支持。支持多种输入格式,输出结构化结果,适配独立开发者与小型团队。
Profile a CSV or TSV file with a bundled script (column types, nulls, distinct counts, ranges and statistics, candidate keys, ragged and duplicate rows, mixed types, whitespace)…
Use for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF. Triggers when tasks involve groupby aggregations, statistical summaries, anomaly…
Diagnoses bias, anomalies, and strange-looking results on a specific PostHog experiment. Covers empty / 0-exposure experiments, sample ratio mismatch, identity fragmentation,…
Healthcare SEO strategy for Brazilian medical and wellness professionals. Includes specialized keyword research (dermatology, psychology, nutrition), professional content…
Use when building the reproducibility story for an ACM/IEEE Design Automation Conference (DAC) Research Manuscript, covering pinned EDA benchmark suites and versions (ISPD, EPFL,…
Your data has answers. CellCog asks the right questions. #1 on DeepResearch Bench (Feb 2026) + frontier coding agent — upload messy CSVs with minimal prompting and get structured…
Generate high-quality synthetic datasets using statistical samplers and Claude's native LLM capabilities.
Data journalism workflows for analysis, visualization, and storytelling. Use when analyzing datasets, creating charts and maps, cleaning messy data, calculating statistics or…
Identifies unusual values, unexpected patterns, and potential stories hidden in a dataset by systematically checking for statistical outliers and contextual anomalies.
Expert data researcher specializing in discovering, collecting, and analyzing diverse data sources. Masters data mining, statistical analysis, and pattern recognition wit — from…
Apply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing.
Perform statistical tests, hypothesis testing, correlation analysis, and multiple testing corrections using scipy and statsmodels.
Use when you have a curated relational dataset (structure-organism pairs) and need to quantify how structures distribute across a categorical variable (e.g., organism prevalence).
Publication-quality visualizations for biomedical and genomics data. Use when creating volcano plots, heatmaps, UMAP plots, dot plots, survival curves, forest plots, or…
Running experiments out of the data warehouse instead of via dedicated experiment platforms. SQL-based assignment, exposure logging discipline, metric definitions in dbt models,…
Use when when you have downloaded a curated structure-organism dataset (such as LOTUS) and need to verify the reported counts of unique entities (source databases, organi — from…
Use when when you have downloaded a released version of a structured dataset (e.g., LOTUS from Zenodo) and need to confirm it matches the documented headline statistics before…
Formulate, solve, validate, or audit a constrained mathematical decision model for allocation, assignment, routing, scheduling, capacity, inventory, network, or resource-planning…
A Research Scientist interviewer that simulates a FAANG-style deep learning theory and practice interview.
Analyze manufacturing defect detection and quality control systems — computer vision inspection pipelines, SPC control charts, Six Sigma process capability (Cp/Cpk), defect…
Filter degenerate, uninformative inputs before statistical tests: single-sequence alignments, empty files, constant features, zero-variance inputs, all-NaN columns.
Know whether a message was accepted, delivered, opened, and acted on, and treat failures as events rather than statistics.
Interrogate a demand forecast before the business commits supply and inventory to it. Use when asked to review a demand plan, challenge a forecast, check forecast accuracy,…
Use when a task needs the judgment of a demographer — building a cohort-component population projection, reconciling fertility/mortality rate estimates against ACS or…
Turn a validated idea into a risk-ordered sequence of experiments and build steps, with one hard rule — no product code is scheduled before the test that de-risks it.
Summarizing and visualizing data through measures of center, spread, shape, and position. Covers mean, median, mode, range, IQR, variance, standard deviation, percentiles,…
Generates structured experimental designs (factorial, response surface, Taguchi) to systematically discover how multiple factors affect outcomes while minimizing experimental…
Expert guidance for Design of Experiments (DOE) in Python - interactive goal-driven design selection, classical DOE (factorial, response surface, screening), Bayesian optimization…
Design or build a page, screen, landing page, website, app or UI from a request - the whole job, end to end.
Suggestions for scoping and writing an Analytics Project Brief — the one-page artifact that defines problem, metrics, counter-metrics, stakeholders, methodology, success criteria,…
Design privacy-preserving analytics systems using differential privacy, k-anonymity, l-diversity, and t-closeness.
Analyze a metric for statistical anomalies using z-score analysis and threshold checking. Detects spikes, drops, and trends. Use for proactive monitoring and early warning.
Detect anomalies in metrics and time-series data using OPAL statistical methods. Use when you need to identify unusual patterns, spikes, drops, or outliers in observability data.
Detects anomalous authentication patterns using UEBA analytics, statistical baselines, and machine learning
Performs statistical analysis of Zeek conn.log connection intervals to detect C2 beaconing patterns. Uses the
Collect improvement insights from UI/UX reviews, document research, or external references, convert confirmed items into development requirements.
DevTeam v4.0 — Adaptive Code Fluidity & Architecture Engine. Calibrated scoring against the 7 Laws of Code Fluidity, domain auto-detection, regression guard, and project-docs…
Disciplined diagnosis loop for hard bugs and performance regressions. Reproduce → minimise → hypothesise → instrument → fix → regression-test.
Runs diagnostics and a health check on one PostHog experiment: its setup, exposures, results and changes during the run.
Diagnoses bias, anomalies, and strange results on a PostHog experiment. Covers 0-exposure experiments, sample ratio mismatch, identity fragmentation, multi-variant exposure,…
Differential abundance and state analysis for cytometry data. Compare cell populations between conditions using statistical methods.
Differential abundance and state analysis for cytometry data. Compare cell populations between conditions using statistical methods.
Differential binding analysis using DiffBind. Compare ChIP-seq peaks between conditions with statistical rigor. Requires replicate samples.
Differential binding analysis using DiffBind. Compare ChIP-seq peaks between conditions with statistical rigor. Requires replicate samples.
Use when you have PSI (percent-spliced-in) matrices for multiple samples grouped into two or more biological conditions, along with corresponding transcript expression…
Automatically discover machine learning and AI skills when working with machine learning, PyTorch, training, inference, RAG, embeddings, fine-tuning, LLM, DSPy, HuggingFa — from…
Эксперт анализа распределений. Используй для statistical distributions, data analysis и hypothesis testing. — from Nir-Bhay/markups
Эксперт анализа распределений. Используй для statistical distributions, data analysis и hypothesis testing. — from majiayu000/claude-skill-registry
Statistical distribution fitting skill for input modeling in simulation and analysis.