Use when defending the research design of a Social Psychology Quarterly (SPQ) manuscript — laboratory and survey experiments (group processes, status), survey and secondary-data…
Profile, clean, standardize, transform, fill, or deduplicate spreadsheet or delimited data into an authorized new output with traceable rules, before/after statistics, an audit…
Spreadsheet processing and analysis for CSV/Excel; trigger when users ask to merge/clean tabular data, run statistics, add/edit Excel formulas, apply formatting, generate charts,…
Unified workflow that delegates failed web searches to shell_agent for resilient data gathering, then applies anchored spreadsheet proof gates for verified Excel output
Use when the user asks Codex to research a feature, review an existing plan/spec, size work into one or more sprints, create sprint artifacts, or turn broad requirements into a…
Diff two SQL Server execution plans (baseline vs regression) to identify what changed — join strategies, memory grants, operator topology, new warnings, and missing indexes.
Run SQL queries, scripts, or multi-threaded workloads against SQL Server, Azure SQL Database, Azure SQL Managed Instance, or SQL database in Microsoft Fabric using the sqlsim CLI.
Parse and analyze SQL Server SET STATISTICS IO, TIME ON output. Extracts per-table IO metrics and per-statement CPU/elapsed times, computes % logical read share, detects 22…
Analyze SQL Server wait statistics to identify why the server or a session is slow. Applies 40 checks (V1–V40) covering I/O, locks, parallelism, memory, CPU, TempDB, log I/O,…
Use when framing or sharpening the research problem (问题意识 / problematic) for 《中国社会科学》 (Social Sciences in China) — elevating a topic from a narrow empirical question to a…
Production-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C) with scikit-learn-like API.
Production-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C) with scikit-learn-like API.
Production-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C) with scikit-learn-like API.
Production-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C) with scikit-learn-like API.
Get a real-time stablecoin market overview from 500+ protocols and 20+ CEX: total market cap, yield-bearing stablecoin market cap, asset distribution (USDT/USDC/DAI share), chain…
Performs git archaeology, changelog analysis, and builds a verified factual timeline by cross-referencing git history with source material.
Audit the recurring meetings a team has accreted — each standing slot tested against its original purpose, current attendance reality, and outcomes, with keep/shrink/merge/kill…
Bootstrap or reorganize the project codebase (${CODE_NAME}/, read from .env) so research plans under metds/plans/ have a code home.
Compile the research-plan tree under metds/plans/ into paper-ready method documents under metds/. Invoked as /star-metd-summarize [OPT] where OPT is overview, dataset, framework,…
Splice-aware RNA-seq aligner producing sorted BAM and splice junction tables. Builds genome index, runs two-pass alignment for better junctions.
Set up your bio-research environment and explore available tools. Use when first getting oriented with the plugin, checking which literature, drug-discovery, or visualization MCP…
在由 market-research-landing-lab 底座派生出的新项目中启动项目调研。当用户说"开始这个项目"、"启动项目"、"初始化这个项目"、"start this project"等语义时触发。通过访谈收集执行人前提（核心技能、渠道现状、长期护城河方向、启动约束），并把答案写入 docs/00-research-question.md…
Start a research exploration using the technical-research skill. For early-stage ideas, feasibility checks, and broad exploration before formal discussion.
Planning phase for a task file — read the codebase, clarify requirements, research and design, then write Brief / Design / Plan into the startproject section of TASK_FILE (or…
When the user wants to identify, evaluate, or prioritize potential investors for a fundraising round.
When the user needs to estimate market size, understand market dynamics, or validate that a market opportunity is large enough to pursue.
When the user wants to research customer pain points, complaints, or sentiment using review platforms like Trustpilot, G2, Capterra, or app stores.
When the user has raw customer interview transcripts, survey responses, support tickets, or other qualitative data and needs to extract actionable insights.
Deep competitive intelligence for any market. Analyzes competitors' products, pricing, customer sentiment, GTM strategy, and growth signals using real web data.
Design, validate, and plan a startup from scratch. Covers market research, competitive analysis, business model, brand identity, product definition, financial projections, and…
Pressure-test a startup idea the way a sharp investor or co-founder would — problem, market, wedge, moat, why-now, and the fastest cheap way to test it.
Research startups and emerging companies with funding data, team composition, product positioning, market traction, and news coverage.
Systematic extraction of pain points, feature gaps, switching triggers, and opportunities from review sources (B2B review sites, app stores, forums, communities, issue trackers).
Research startups, funding rounds, acquisitions, and hiring trends via startups.in
Access reliable statistical data from the World Bank. Avoids hallucinated numbers by fetching direct time-series data from the official API.
Stata statistical analysis for publication-ready sociology research. Guides you through phased workflows for DiD, IV, matching, panel methods, and more.
Use when setting up the ATLAS StatAnalysis software release with asetup, choosing the right StatAnalysis branch for a given ROOT version or OS, running statistical analysis tools…
Use when saving workflow state to Serena MCP memory at research, planning, execution, or completion stages - enables resuming work later with /cc:resume command
Use when a long coding or research task should be managed with statem state-machine runbooks, including creating specs, starting or resuming runs, checking current state,…
Guided statistical analysis with test selection and reporting. Use when you need help choosing appropriate tests for your data, assumption checking, power analysis, and A — from…
Guided statistical analysis with test selection and reporting. Use when you need help choosing appropriate tests for your data, assumption checking, power analysis, and A — from…
Recommend appropriate statistical tests (T-test, ANOVA, Mann-Whitney, etc.) based on data type, distribution, sample size, and research design.
Statistical analysis for metabolomics data. Covers univariate testing, multivariate methods (PCA, PLS-DA), and biomarker discovery.
Guided statistical analysis with test selection and reporting. Use when you need help choosing appropriate tests for your data, assumption checking, power analysis, and A — from…
Hypothesis testing, power analysis, ablation design, and multiple comparison corrections for ML experiment evaluation.
Guided statistical analysis with test selection and reporting. Use when you need help choosing appropriate tests for your data, assumption checking, power analysis, and A — from…
Apply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing.
Run hypothesis tests, analyze A/B experiment results, calculate sample sizes, and interpret statistical significance with effect sizes.
Perform statistical hypothesis testing, regression analysis, ANOVA, and t-tests with plain-English interpretations and visualizations.
Design statistically honest and uncertainty-aware visualizations. Use when the user needs help showing distributions, intervals, confidence, missingness, sampling effects — from…
Use when a task needs the judgment of a Statistical Assistant — designing a data-collection form for consistency, running double-entry verification and reconciling discrepancies,…
Computational tools and algorithms for statistical analysis. Covers simulation, resampling methods (bootstrap, permutation tests), Monte Carlo methods, random number generation,…
Use when selecting a statistical test with AI consultation, when assumptions need checking against the actual data, when an analysis plan or decision log must be written before…
Use when when you have prediction scores (softmax probabilities, uncertainties) from a trained deep learning model evaluated on a heterogeneous dataset and you need to determine…
Use when after computing aggregate statistics (mean, median, standard deviation, frequency distributions, similarity coefficients) over a large dataset of molecular fingerprints…
Use when you have ranked GCF-MF (Gene Cluster Family–Molecular Family) links using two or more independent scoring functions and a set of experimentally validated links.
Use when when you have peak area tables (unlabeled C12 and labeled C13) from LC-MS metabolomics with sample metadata indicating case and control groups, and you need to…
Use when you have a metabolite abundance table (rows=metabolites, columns=samples)
Use when you have computed raw or standardised correlation scores (or other link-ranking metrics) for all possible GCF-MF pairs in a dataset and want to verify that validated…
Use when after log-transformation and missing-value imputation of a metabolomics