Multi-agent web research for any coding agent. Use for anything requiring current information from the internet — news, trends, product/service/company facts, statistics, people,…
Manage and monitor local Pi-hole instance. Query FTL database for statistics (blocked ads, top clients) and control service via CLI.
Use for PixiJS v8 math: Point, ObservablePoint, Matrix, Rectangle, Circle, Ellipse, Polygon, Triangle, hit testing, bounds, toGlobal/toLocal, math-extras.
Measure-don't-guess performance audit across web, mobile, backend, and data layers — produces burndown and optimization plan with no fixes in this pass.
Query and analyze website analytics from Plausible Analytics. Use when you need to check real-time visitors, get page views and visitor statistics for a time period, analyze…
Use when debugging a visual bug, layout issue, CSS problem, rendering issue, broken UI, page-looks-wrong report, or any browser-visible defect.
Interactive visualization with Plotly. 40+ chart types (scatter, line, heatmap, 3D, geographic) with hover, zoom, pan.
Generate quantitative statistics about the PM knowledge system — decision counts by type, health trajectory, sprint velocity, issue resolution rates, enforcement compliance.
Use to enforce PNAS's statistics and reproducibility reporting — n and replication, test choice and assumptions, effect sizes with uncertainty, multiple-comparison control,…
Use as the final preflight before submitting to PNAS — a complete checklist across significance, track, Significance Statement, abstract, classification + keywords, figures,…
Use to enforce PNAS Nexus's statistics and reproducibility reporting — n and replication, test choice and assumptions, effect sizes with uncertainty, multiple-comparison control,…
Use when designing or auditing the analytical "evidence" of an ACM PODS paper — worst-case and average-case analyses, matching upper and lower bounds, dichotomy completeness,…
Use when after extending ChIP sample reads to their predicted fragment length and constructing local lambda bias tracks (incorporating d-scaled, 1 kb, 10 kb, and genome-wide…
Use when a task needs the judgment of a Political Scientist — reading a public-opinion poll or forecast for what it actually supports, designing a comparative or…
Polymarket research and directional trading sub-strategy. Part of paper-trader skill. Research-based probability assessment for directional prediction market trades.
Use when selecting or auditing the method for a Production and Operations Management (POM) manuscript — analytical modeling (optimization, stochastic models, game theory),…
Use when when you have validated link annotations from multiple independent datasets (≥2), individual scoring functions with per-dataset enrichment p-values, and you want to test…
群体遗传与 GWAS skill。用于 PLINK/VCF QC、PCA、admixture、LD pruning、association testing、GWAS summary stats、selection statistics、Manhattan/QQ、Fst、Tajima D、iHS 和 XP-EHH 交接。
Extract, analyze, and summarize simulation output data — pull spatial fields at specific timesteps, compute time-series trends and detect steady state, extract line profiles…
Analyze experiment results and generate discussion paragraphs for academic papers. Two-phase workflow: identify measurable findings (Phase 1), confirm with user, then generate…
Produce maintainer-facing statistics about open pull requests on the configured `
` repo (default: read from `/project.md → upstream_repo`).
Lightweight 5-gate pre-dev workflow for small features (<2 days). Orchestrates topology discovery, research, PRD with UX validation, design validation, TRD, task breakdown, and…
Complete 10-gate pre-dev workflow for large features (>=2 days). Orchestrates topology discovery, research, PRD, feature map, design validation, TRD, API design, data model,…
Use when you have extracted fragmentation patterns from a collection of MS/MS spectra (using mineMS2) and have partitioned spectra into components via GNPS molecular networking…
Advise on pricing strategy — competitive analysis, willingness-to-pay research, tier design, price increase modeling, discount frameworks, and packaging optimization for startup…
Use when your input is a normalized, centered gene expression matrix with many genes (e.g., 12,000+) and you need to validate whether reducing to a smaller number of principal…
Professional paper research with papercli. Multi-pass search, PDF download and reading, math-aware synthesis, and a detailed referenced markdown findings report.
Mathematical foundations of uncertainty and random phenomena. Covers sample spaces, events, axioms, conditional probability, Bayes' theorem, independence, random variables,…
Run end-to-end product experiments from assumption to decision: translate assumptions into testable hypotheses and experiment briefs, select the right method among qualitative…
Profiles a dataset to surface summary statistics, distributions, missing-value matrix, correlations, outliers, and data-quality issues with severity ratings.
Track and report Claude Code skill usage statistics. Use this whenever the user asks about skill usage, skill stats, skill reports, which skills are used most or least, wants to…
Return memory statistics snapshot from UnityEngine.Profiling.Profiler — reserved, allocated, mono heap, graphics, etc. (in MB).
Ranks and analyzes statement fingerprints using aggregated SQL statistics from crdb_internal.statement_statistics to identify slow, resource-intensive, or error-prone query…
Analyzes transaction fingerprints using aggregated statistics from crdb_internal.transaction_statistics to identify high-retry transactions, contention patterns, and commit…
Estimate AI-assisted and hybrid human+agent development work with research-backed PERT statistics and calibration feedback loops
Structured methodology for constructing and verifying mathematical proofs in statistical research
Run statistically sound comparisons on eval results so prompt and model changes are judged by confidence bounds, not bar-chart vibes.
Test and evaluate AI agents and LLM outputs using code-first evaluation framework with strong typing.
Use when reading, writing, or validating binned and/or unbinned statistical models in the HS3 (HEP Statistics Serialization Standard) JSON format: converting between HistFactory…
Bayesian statistical modeling with PyMC v5+. Use when building probabilistic models, specifying priors, running MCMC inference, diagnosing convergence, or comparing models.
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization pro — from…
Belief propagation with ordered-statistics post-processing (BP-OSD) for QECTOR. Covers the box-plus kernel phi(x) = -ln(tanh(x/2)), the log-domain sum-product / min-sum / relay…
The strict mathematical ground rules for every QECTOR claim. Encodes the F2 notation, the 16 correctness theorems, the Wilson score interval for LER, the…
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…
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…
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.
Expert in quantitative finance, algorithmic trading, and financial data analysis using Python (Pandas/NumPy), statistical modeling, and machine learning.
Use when you have a peak table matrix with NA values that need to be imputed using cluster statistics, or when a GCIMSDataset object requires filtering by retention time (0–1100…
Use when after installing R or modifying an R environment via conda, package managers, or container images; before running any pipeline step that depends on R packages for…
Use when after training a customized R statistical or machine learning model on annotated training data, you need to persist the trained model object for reuse in downstream…
R statistical modeling with base stats, sandwich, lmtest, car, broom. OLS/WLS/ GLS via lm(), GLMs via glm() (logit, probit, Poisson, negative binomial), robust/clustered SEs via…
Query Radix DLT blockchain data including wallet balances and performance, token prices and market movers, validator staking info, transaction history, network statistics — from…
Use when beginning an LC-MS data analysis pipeline and you need to rapidly inspect instrument metadata, acquisition parameters, or scan statistics from proprietary Thermo .raw…
Audit a rehabilitation recovery tracking system -- evaluate standardized outcome instruments (FIM, Barthel Index, SF-36, DASH, LEFS, PROMIS), functional assessment scoring…
Pulls active listings, comparable sales, market statistics, and property estimates from Redfin via web research.
Anchors predictions in historical reality by identifying a class of similar past events and using their statistical frequency as a baseline (outside view) before analyzing…
Use when starting a forecast to establish a statistical baseline (base rate) before analyzing specifics.
Track and analyze regression statistics, trends, hotspots, and health indicators across test suites
Use when when you have trained a regression model on experimental retention times or similar continuous molecular property predictions and need to quantify its generalization…