AI & ML

stanfish06 Bundle

Builds a relationship or deal summary using the Superhuman Mail MCP server — pulling together all email history, read receipts, and calendar interactions with a specific person or company to act as a lightweight CRM. Use this skill whenever someone asks to "show me all communication with [person/company]", "what's the status of my deal with [company]", "give me a relationship summary for [person]", "when did I last talk to [person]", "pull up everything about [company]", "track this deal", "who haven't I followed up with", "show me engagement on emails I sent to [person]", "CRM view of [person]", "what's my communication history with [person]", or any variation of wanting a consolidated view of a relationship or deal. if someone wants to understand the full picture of their interactions with a person or company,

stanfish06 Bundle

在使用 js-reverse-mcp 做前端 JavaScript 逆向时使用，适用于签名链路定位、页面观察取证、运行时采样、本地补环境复现与证据化输出。优先适配当前环境里的 js-reverse_* 工具，需要更强的浏览器/CDP/Hook 面时联动 jshookmcp。

stanfish06 Bundle

Use for authorized security assessment of LLM applications and AI agents, including prompt injection, tool abuse, RAG exposure, memory poisoning, and model supply-chain risks.

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Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.

stanfish06 Bundle

Internal support skill for actionbook MCP selectors used by Rust documentation research workflows. Use only when another rust-skills workflow explicitly requests actionbook-backed selectors.

stanfish06 Bundle

Generates a morning briefing that triages your inbox and previews your day using the Superhuman Mail MCP server — acting as an AI chief of staff. Use this skill whenever someone asks to "brief me on my day", "triage my inbox", "what's important in my email", "summarize my unread emails", "what do I need to deal with today", "chief of staff briefing", "morning update", "inbox summary", "what emails need my attention", "clear my inbox", or any variation of wanting a prioritized view of their email and calendar before they start working. Also trigger when someone says "I just woke up, what's going on" or "catch me up on my inbox". if someone wants to understand the state of their inbox or day at a glance,

stanfish06 Bundle

Guides the agent to reference official MathWorks Documentation and Help. Determine correct function syntax and workflows from user guides when deeper context is needed. Minimize iterations and repetitive trial and error. Use this skill to: Identify correct syntax and configuration details. Retrieve relevant, version-specific (or release-specific) information from official documentation. Consult user guides when conceptual or workflow context is needed. Apply best practices.

stanfish06 Bundle

Use for free/open reverse engineering with Ghidra (headless or GUI), including decompile, cross-refs, and optional Ghidra MCP workflows when IDA is unavailable.

stanfish06 Bundle

Expert-thinking profile for Astrostatistician (computational / survey & cosmology inference / time-domain): Reasons from selection functions, censored flux limits, and look-elsewhere trial factors through Cobaya/emcee/dynesty cosmology, GP-coupled exoplanet inference, Landy–Szalay clustering, photo-z σNMAD calibration, and SBI (sbi/LtU-ILI) while treating Malmquist bias, prior-driven tensions, and detrend-then- fit transit...

stanfish06 Bundle

Provides a test-driven method for creating and validating agent skills. Use when creating new skills, editing existing skills, or verifying skills before deployment.

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Expert-thinking profile for Animal Scientist (feeding/management trials / ruminant & monogastric nutrition / ration formulation (CNCPS, NRC) / welfare & carcass science / mixed-model...): Reasons from NRC nutrient requirements, ad libitum intake, energy/protein partitioning, and genotype x environment x management through ration software (CNCPS, NDS, NRC), pen-blocked trials with mixed models (lme4, PROC MIXED), and BCS, NIR, and rumen/BHBA diagnostics while treating intake collapse, milk fat...

stanfish06 Bundle

Meta-agent that routes bioinformatics requests to specialised sub-skills. Handles file type detection, analysis planning, report generation, and reproducibility export.

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Handles end-to-end meeting scheduling using the Superhuman Mail MCP server — from finding available times to sending the invite or proposing times via email. Use this skill whenever someone asks to "schedule a meeting with [person]", "find a time to meet", "book a call", "set up a meeting", "when am I free to meet with [person]", "propose times to [person]", "send my availability", "create a meeting invite", "schedule a 1:1", "find overlap in our calendars", "reschedule my meeting with [person]", or any variation of coordinating a meeting. Also trigger when someone says "I need to find time with [person]", "can you check my calendar and suggest times", "set up a recurring sync", "block time for [task]", or when an email thread involves scheduling and the user wants to act on it. if someone needs help coordinating when people meet,

stanfish06 Bundle

Expert-thinking profile for Coastal Engineer (field / computational / coastal structures & flood risk): Reasons from joint-probability surge and waves through CEM/EurOtop runup-overtopping, Van der Meer/Rock Manual armor, CERC–Van Rijn sediment budgets, and CMS/XBeach/ADCIRC–SWAN model selection while treating toe scour, armor breakage, datum mismatch (BFE vs MHHW), and downdrift impacts as first-class failure modes.

stanfish06 Bundle

Expert-thinking profile for Network Scientist (graph theory / community detection / generative models (SBM, ERGM) / network dynamics / null-model inference): Reasons from adjacency structure, generative models, and null hypotheses through configuration- model and SBM/ERGM nulls, CSN power-law fitting with log-normal Vuong tests, and multi-algorithm community detection (Louvain, Leiden, Infomap, graph-tool) while treating artifactual scale-free tails from correlation...

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Production-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C) with scikit-learn-like API. Use for standard RL experiments, quick prototyping, and well-documented algorithm implementations. Best for single-agent RL with Gymnasium environments. For high-performance parallel training, multi-agent systems, or custom vectorized environments, use pufferlib instead.

stanfish06 Bundle

Drafts multiple email replies or follow-ups in batch using the Superhuman Mail MCP server — processing your inbox in bulk rather than one email at a time. Use this skill whenever someone asks to "draft replies to my unread emails", "respond to all my emails", "write follow-ups for my meetings this week", "batch draft responses", "draft emails for all threads that need a reply", "auto-draft my inbox", "help me respond to everything", "write follow-up emails based on my meetings", "process my inbox", "draft responses to these threads", or any variation of wanting multiple emails drafted at once. Also trigger when someone says "I have a bunch of emails to respond to", "help me get through my inbox", "draft a mail merge", "send personalized emails to these people", or wants to create multiple drafts from a single prompt. if someone wants more than one email drafted,

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Expert-thinking profile for Proteomics Scientist (bottom-up LC-MS/MS / DDA-DIA-TMT- SILAC / differential abundance / FDR & batch control): Reasons from peptide-to-protein inference, acquisition mode, quantification modality, and missing-value mechanism through MaxQuant, FragPipe/MSFragger, DIA-NN/Spectronaut, Skyline, and MSstats/proDA while treating MNAR missingness, batch confounding, TMT co-isolation ratio compression, and keratin/contaminant signal...

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Expert-thinking profile for Cognitive Scientist (behavioral experiments / computational modeling (DDM, ACT-R, Bayesian) / Marr levels / strong inference / preregistration): Reasons from Marr's levels of analysis, latent processes behind RT and accuracy, and strong inference through PsychoPy paradigms, signal-detection d-prime/criterion, sequential-sampling and ACT-R models, and crossed mixed-effects designs while treating speed-accuracy tradeoffs, criterion shifts, item confounds, and...

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统一自动化入口。覆盖浏览器自动化（Playwright）和 Windows 桌面应用自动化（OpenReverse）。 浏览器场景：打开网页、点击、填表、爬取、截图、自动化登录、渗透页面交互。 桌面场景：操作 IDA/x64dbg 等 GUI 工具、Windows UI Automation、视觉驱动交互、桌面应用网络抓包。 触发关键词：浏览器自动化、桌面自动化、打开网页、填表、爬取、截图、自动化登录、Playwright、agent-browser、headless、OpenReverse、UIA、CUA、桌面操作、Windows 自动化。

stanfish06 Bundle

Internal support skill for agent-browser CLI workflows used by rust-learner, docs-researcher, and crate-researcher. Use only when browser automation is explicitly required.

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Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze experimental or survey data, check statistical assumptions, compute required sample sizes, or write up results - even if they never name a specific test. Covers t-tests, ANOVA, chi-square, correlation, regression, non-parametric and Bayesian methods. For low-level model APIs, see the statsmodels and pymc skills.

stanfish06 Bundle

Set browser-game architecture before implementation. Use when the user needs engine choice, simulation and render boundaries, input model, asset organization, or save/debug/performance strategy.

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Expert-thinking profile for Applied Mathematician (theoretical / computational / interdisciplinary modeling): Reasons from formulation-first modeling, Buckingham scaling, and asymptotics (matched expansions, boundary layers) through FEM/FVM numerics (FEniCS, PETSc, LAPACK), Tikhonov inverse problems, and ASME/Sandia V&V while treating ill-posed inversion, stiffness, and numerical diffusion as first-class failure modes.

stanfish06 Bundle

Expert-thinking profile for Paleoclimatologist (proxy reconstruction / chronology & age modeling / spectral & cyclostratigraphy / model-data comparison (PMIP, DeepMIP)): Reasons from proxy transfer functions, archive integration time, and orbital forcing through Bayesian age-depth modeling (Bacon, OxCal), IntCal20 radiocarbon calibration, PAGES2k compositing, and proxy-equivalent PMIP/DeepMIP comparison while treating age- model uncertainty, non-stationary calibration (CO2...

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Expert-thinking profile for Atmospheric Scientist (dynamics-physics / obs-model synthesis / reanalysis-NWP / multiscale (synoptic-mesoscale-tropical-stratosphere)): Reasons from scale-dependent balances, Ertel PV on isentropic surfaces, and closed moisture/energy budgets through PV/omega/Q-vector diagnostics, reanalyses (ERA5, MERRA-2) and WRF/MPAS/CMIP runs, and obs validation (GRUAN sondes, IMERG, CERES), while treating reanalysis assimilation increments, retrieval biases...

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Expert-thinking profile for Bayesian Statistician (probabilistic modeling / hierarchical inference / MCMC diagnostics / model criticism / decision theory): Reasons from Bayes' rule, coherent uncertainty, exchangeability, and partial-pooling hierarchy through Stan/PyMC HMC-NUTS fits, prior and posterior predictive checks, PSIS-LOO, and SBC calibration while treating divergent transitions and funnels, weak identifiability and label switching, improper posteriors, and...

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Expert-thinking profile for Computational Chemist (computational / dry / quantum chemistry & molecular simulation): Reasons from Kohn–Sham DFT, def2/D4 functional selection, and conformer ensembles through VASP/Gaussian/ORCA, AMBER/GROMACS MD, CREST/CENSO sampling, ONIOM/QM/MM electrostatic embedding, GMTKN55 validation, and SCF convergence escalation while treating B3LYP/6-31G*, BSSE, link-atom artifacts, and force-field mismatch...

stanfish06 Bundle

Use first when prompts mention Metafields or Metaobjects. Use Metafields and Metaobjects to model and store custom data for your app. Metafields extend built-in Shopify data types like products or customers, Metaobjects are custom data types that can be used to store bespoke data structures. Metafield and Metaobject definitions provide a schema and configuration for values to follow.

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Expert-thinking profile for Differential Geometer (theoretical / geometric analysis / gauge & index theory): Reasons from connections, curvature, and holonomy; fixes Lee vs Besse/MTW Riemann signs; uses SageManifolds/xAct/Cadabra, Chern–Weil and Atiyah–Singer index theory, and model-space checks (S^n, flat tori) while treating chart artifacts, torsion misuse, and CAS convention drift as first-class failure modes.

stanfish06 Bundle

Automated browser verification for dev servers. Triggers when a dev server starts to run a visual gut-check with agent-browser — verifies the page loads, checks for console errors, validates key UI elements, and reports pass/fail before continuing.

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Expert-thinking profile for Catalysis Scientist (heterogeneous/homogeneous/enzymatic catalysis / reaction engineering / operando spectroscopy / kinetics & site-counting): Reasons from active-site structure, turnover frequency, selectivity, and the Sabatier principle through CO/H2 chemisorption site-counting, Weisz-Prater and Mears transport checks, Langmuir-Hinshelwood/Mars-van Krevelen kinetics, and operando DRIFTS/XAS while treating diffusion-limited apparent rates, DRIFTS spectator...

stanfish06 Bundle

Creates a MATLAB project for an existing folder of MATLAB files using the matlab.project.* APIs via MCP. Adds all existing files, configures the project path, generates a project name/description, and creates a README.md with a function table. Prompts the user before creating any new folders. Never overwrites existing files. Use when asked: "create a project", "set up a MATLAB project", "initialize project", "make this a MATLAB project", "configure project".

stanfish06 Bundle

End-to-end ML phylogenetic tree inference — MSA, trimming, ModelFinder, IQ-TREE2/RAxML-NG.

stanfish06 Bundle

Implements dbt Mesh governance features (model contracts, access modifiers, groups, versioning) and multi-project collaboration with cross-project refs. Use when implementing dbt Mesh governance, setting up cross-project refs with dependencies.yml, disambiguating similarly-named models across projects, or splitting a monolithic dbt project into multiple mesh projects.

stanfish06 Bundle

Use when embedding meetings.