Supreme diagnose-research-implement-verify engine. Combines devTeam (calibrated diagnosis with regression guard) and profTeam (adaptive agents with ROI tracking) in a convergent…
Generate 5-10 hook variations for any post, thread, or caption across X, LinkedIn, Instagram, and TikTok — using different styles (question, contrarian, statistic, story,…
Use when strengthening HPCA reproducibility: pinning the result chain from simulator commit through config, workload, sampled region, and statistics, building one manifest per…
Use when writing the single ACM/IEEE HRI full-paper rebuttal that responds to three external reviewers and two area chairs — triaging study-design and statistics critiques,…
Use when designing or auditing the human-subjects study at the heart of an ACM/IEEE HRI full paper — choosing between/within-subjects designs, running Wizard-of-Oz honestly,…
Use when working with HuggingFace datasets library — loading, processing, uploading. Triggers: load_dataset, hf datasets, dataset upload.
Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human.
Identify command-and-control beaconing patterns in network traffic by applying statistical frequency analysis,
Benchmark command-line programs with statistical rigor using Hyperfine. Performs warmup runs, detects outliers, exports results in JSON/CSV/Markdown, and supports parameterized…
Use when when you have completed DESeq2 differential expression analysis on RNA-seq count data and obtained p-values for each gene, use IHW if you want to improve power to detect…
Use when revising an ICASSP paper into the IEEE two-column four-page house style — leading with the signal-processing contribution and mechanism, naming the task-matched metric on…
Use when reasoning about ICCV's review pipeline and where authors have leverage, covering the March-to-June OpenReview timeline, the every-author-reviews contract and its 2025…
Use when deciding what counts as evidence for an ICDT (International Conference on Database Theory) result — matching-bound complexity analysis as the primary evidence, worked…
Use when designing or auditing ICLR experiments, including baselines, ablations, scaling laws, robustness, statistics, benchmarks, human evaluation, and compute reporting.
Use when designing or auditing the experimental section of an ICRA paper — real-robot versus simulation-only evidence, trial counts and success-rate reporting, task distributions…
Use when designing or auditing the evaluation of an ICSE research-track paper, covering subject and benchmark selection, baseline fairness, statistical tests and effect sizes as…
Use when reasoning about how an ICSE research-track submission is evaluated, covering double-anonymous PC review, the four posted criteria, the Accept / Major Revision / Reject…
Use when designing or auditing IEEE ICSME empirical evaluations, covering real evolving subject systems, mining-software-repositories provenance, fair baselines, SE-standard…
Growth engine for ID8Labs. Systematic experimentation and optimization to scale products through data-driven decisions, retention focus, and sustainable acquisition channels.
Use when designing or auditing the evaluation of an IEEE S&P (Oakland) paper, including end-to-end attack demonstration, adaptive-adversary evaluation of defenses, measurement…
Use when designing or auditing IJCAI or IJCAI-ECAI experiments, baselines, ablations, statistical evidence, hyperparameter reporting, compute descriptions, dataset handling,…
Use when the algorithm or model formulation, its correctness, and its theoretical guarantees are the bottleneck for an INFORMS Journal on Computing (IJOC) manuscript.
Build network traffic baselines from NetFlow/IPFIX data using Python pandas for statistical analysis, z-score
Ability to analyse, design, optimise, and improve systems that integrate people, processes, technology, and resources to meet defined performance, quality, cost, and safety…
Drawing conclusions about populations from sample data. Covers sampling distributions, confidence intervals, hypothesis testing (z-tests, t-tests, chi-squared tests, ANOVA),…
Catalog of informal fallacies with definitions, canonical examples, and detection heuristics. Covers relevance fallacies (ad hominem, straw man, red herring, appeal to authority,…
Show session analytics, learning patterns, correction trends, heatmaps, and productivity metrics. Computes stats from project memory and session history.
Use when targeting Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR) or deciding whether a computer-science manuscript fits this…
Use when responding to questions about the access-to-justice gap, the global and MENA-specific unmet legal need landscape, the case for consumer legal AI, or mission-alignment…
Structures statistical analysis interpretation with p-value, confidence interval, and effect size reporting.
Detect introgression and admixture between species or populations using Dsuite (Malinsky 2021 fast D-statistics), Patterson's D / ABBA-BABA test (Green 2010; Durand 2011) — from…
Diagnose and optimize build times and module architecture for large iOS apps (Swift / SwiftPM / Xcode): classify bottlenecks from Build Timeline data, evaluate…
Use when designing or auditing IROS experiments — real-robot trial counts, success criteria set in advance, reset procedures, failure taxonomies, baseline fairness on matched…
Use when you have selected statistically significant features from multi-assay untargeted LC-MS metabolomics data and need to group them by structural relationships defined by…
Use when after filtering LC-MS features by statistical significance (e.g., p-value < 0.01) and you wish to group features that represent the same metabolite at different — from…
Use when you have preprocessed, statistically significant LC-MS features (from multiple assays or a single assay) and need to group features that represent the same metabolite in…
Use when deciding what counts as evidence for an ITCS theory claim — proofs as the primary evidence, worked examples and separations that make a model concrete, and the rare,…
Unified prediction-market and Itô basket operations, covering read-only market intelligence, probability research, non-advisory basket comparisons, trade planning, and oracle data…
Use when building the exhibits for a Journal of Accounting and Economics (JAE) manuscript — variable-definition appendix, sample-construction table, descriptive statistics and…
Use when designing or auditing the figures and tables of a JAMA manuscript, including the required flow diagram, baseline table, and main-result exhibits.
Use when selecting and completing the EQUATOR-network reporting checklist and flow diagram for a JAMA manuscript (CONSORT, STROBE, PRISMA, STARD, and design-specific guidelines).
Use when preparing or auditing the statistical analysis and reporting of a JAMA manuscript so it survives JAMA's dedicated statistical review.
Use when writing or auditing the JAMA structured abstract and the Key Points box for a JAMA manuscript.
Use when locking the study design and internal-validity safeguards for a JAMA clinical manuscript (RCT, cohort, diagnostic, or systematic review).
Compound MCP agent combining 6 Japan finance data sources — EDINET securities filings (有価証券報告書), TDNET timely disclosures (適時開示), e-Stat government statistics (GDP/CPI/雇用), BOJ…
Use when finalizing the descriptive, results, and identification exhibits for a Journal of Accounting Research (JAR) manuscript — the summary-statistics table, correlation matrix,…
Use when sharpening the core methodological contribution of a Journal of Business & Economic Statistics (JBES) paper into one legible claim that pairs novelty with empirical…
Use when the methodological core of a Journal of Business & Economic Statistics (JBES) paper is the bottleneck — assumptions, regularity conditions, asymptotic theory, and Monte…
Use when a Journal of Business & Economic Statistics (JBES) decision letter arrives (R&R or major revision) and a response strategy and letter are needed for a methods paper.
Use when assembling the reproducible data-and-code supplement for a Journal of Business & Economic Statistics (JBES) paper under the American Statistical Association (ASA)…
Use when designing the simulation tables and figures for a Journal of Business & Economic Statistics (JBES) methods paper so size, power, coverage, and the empirical results are…
Use when deciding whether a project fits the Journal of Business & Economic Statistics (JBES) — the methods-with-empirics fit test.
Use when deciding which jbes-* sub-skill to invoke next, or when sequencing methods-paper work from topic selection through rebuttal for a Journal of Business & Economic…
Use when polishing prose, theorem statements, the abstract, and the introduction for a Journal of Business & Economic Statistics (JBES) methods paper so the methodological…
Use when preparing Journal of Banking & Finance (JBF) tables and figures — descriptive statistics, regression tables, event-study plots, mechanism and heterogeneity exhibits,…
Use when building the tables and figures for a Journal of Corporate Finance (JCF) empirical paper — summary statistics, main regression tables with fixed effects and clustering…
Use when building the exhibits for a Journal of Consumer Psychology (JCP) manuscript — condition-means tables, mediation/moderation path figures, interaction plots, and…
Use when building the tables and figures for a Journal of Financial and Quantitative Analysis (JFQA) paper — summary statistics, main regressions, robustness, and finance-standard…
Use when the mechanism section of a 《金融研究》 (Journal of Financial Research) manuscript stops at "promotes / inhibits" — to pin the effect to a concrete financial channel (credit /…
Use to finalize the main tables and figures of a 《金融研究》 (Journal of Financial Research) manuscript to journal house style — trimming over-wide regression tables, standardizing…