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SkillsMP は stanfish06/skillquarium から 1,211 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
stanfish06/skillquarium収集済み skill 1,211 件中 40 件を表示しています。
Risk Analysis Audit skill for Datasite deal rooms. Use this skill whenever a sell-side deal team wants to audit, review, or flag risks across a data room before going live. Triggers include: "run a risk audit", "flag risks in the data room", "risk review",…
原文の言語: 英語
Recommend or run the exact `dotnet test` command. Use when the user asks to run, filter, or troubleshoot .NET tests or wants the precise command, flags, or argument order — the right syntax depends on the test platform (VSTest vs Microsoft.Testing.Platform)…
原文の言語: 英語
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…
原文の言語: 英語
Rules for Twilio messaging and voice traffic. Covers TCPA (consent tiers, quiet hours, DNC), GDPR (EU consent, right to deletion), PCI DSS (payment recording, Pay verb), HIPAA (BAA, PHI), FDCPA (debt collection limits), CAN-SPAM, WhatsApp policies,…
原文の言語: 英語
Use when discovering which skill applies — establishes how to find and use skills
原文の言語: 英語
VDR Index Setup skill for Datasite deal rooms. Use this skill whenever a user wants to create, propose, design, or set up a Virtual Data Room (VDR) index or folder structure for a deal. Triggers include: "set up a data room", "create a VDR index", "build a…
原文の言語: 英語
Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF,…
原文の言語: 英語
React and Next.js performance optimization guidelines from Vercel Engineering. Use when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching,…
原文の言語: 英語
在 CLI 环境下做 Android APK 逆向时使用。适用于 APK 解包、Java 反编译、smali 修改、重打包、Frida 动态 Hook，以及按需切换到 so/native 分析。优先使用本机已安装的 jadx、apktool、frida、adb、ida-reverse、radare2。
原文の言語: 中国語
Use this skill whenever the user wants to analyze binaries with radare2/r2 from the command line, including reverse engineering, disassembly, function analysis, strings/import inspection, patching, binary diffing, hex inspection, or r2 scripting. Also use it…
原文の言語: 中国語
Cell segmentation in fluorescence microscopy images. Supports Cellpose/cpsam (Cellpose 4.0) with additional backends planned. Produces segmentation masks, per-cell morphology metrics (area, diameter, centroid, eccentricity), overlay figures, and a report.md.
原文の言語: 英語
Expert-thinking profile for Chronobiologist (wet-lab / computational / human circadian physiology): Reasons from TTFL molecular clocks, SCN–peripheral coupling, and zeitgeber entrainment (PRC); analyzes actigraphy, DLMO, and PER2::LUC with ClockLab/LumiCycle,…
原文の言語: 英語
Diagnose and fix failing CircleCI builds quickly and safely. Use when users ask to investigate failed CircleCI jobs, triage flaky pipelines, identify root causes from logs, and implement minimal fixes in configuration, test setup, or build-related code paths.
原文の言語: 英語
Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing repositories, models, datasets, and Spaces on the Hugging Face Hub. Replaces now deprecated `huggingface-cli` command.
原文の言語: 英語
Query KEGG for biological pathways and gene info. Use when user asks about metabolic pathways, signaling pathways, pathway genes, or KEGG IDs. Triggers on "kegg", "pathway", "metabolic pathway", "signaling pathway", "pathway genes".
原文の言語: 英語
Query Ensembl for genomic data. Use when user asks about gene coordinates, genomic sequences, variants, gene structure, exons, transcripts, or species comparison. Triggers on "ensembl", "gene coordinates", "genomic location", "exon", "transcript", "variant…
原文の言語: 英語
Bulk transcriptomics differential expression with count-aware modeling, design validation, contrast handling, thresholded exports, and publication-ready DE figures.
原文の言語: 英語
Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.
原文の言語: 英語
Guides Stripe integration decisions — API selection (Checkout Sessions vs PaymentIntents), Connect platform setup (Accounts v2, controller properties), billing/subscriptions, Treasury financial accounts, integration surfaces (Checkout, Payment Element), and…
原文の言語: 英語
Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard workflows with simpler interface, use datamol (wrapper…
原文の言語: 英語
Role-based multi-agent orchestration framework for building "Crews" of collaborating LLM agents (each with a role, goal, backstory, and optional tools) that execute sequential or hierarchical task pipelines, plus event-driven "Flows" for precise,…
原文の言語: 英語
Extract numerical data from scientific figure images using Claude vision + OpenCV calibration. Supports 26+ plot types including bar charts, scatter plots, forest plots, Kaplan-Meier curves, box plots, and more.
原文の言語: 英語
Guide for using the Netlify CLI and deploying sites. Use when installing the CLI, linking sites, deploying (Git-based or manual), managing environment variables, or running local development. Covers netlify dev, netlify deploy, Git vs non-Git workflows, and…
原文の言語: 英語
Turborepo expert guidance. Use when setting up or optimizing monorepo builds, configuring task caching, remote caching, parallel execution, or the --affected flag for incremental CI.
原文の言語: 英語
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick…
原文の言語: 英語
Expert-thinking profile for Deep Learning Scientist (computational / architecture & large-scale training): Reasons from CNN/Transformer inductive bias, Li et al. loss landscapes, grokking/mode connectivity, and Kaplan/Chinchilla scaling (~20 tokens/param);…
原文の言語: 英語
Build sandboxed applications for secure code execution. Load when building AI code execution, code interpreters, CI/CD systems, interactive dev environments, or executing untrusted code. Covers Sandbox SDK lifecycle, commands, files, code interpreter, and…
原文の言語: 英語
Guide for creating and managing E2B sandboxes using ComputeSDK. Use when building applications that need E2B provider for ComputeSDK - cloud sandboxes with full Linux environments, filesystem access, and microVM isolation.
原文の言語: 英語
Generate and analyze DNA sequences using NVIDIA's Evo 2 BioNeMo NIM microservice. Use for Evo2/Evo 2, DNA generation, genomic sequence generation, hosted generation, local Docker deployment, local forward passes, layer outputs, logits, sampled probabilities,…
原文の言語: 英語
Expert-thinking profile for Connectomics Scientist (computational / volume EM connectomics + collaborative proofreading): Reasons from vEM acquisition and petascale alignment through FFN/RoboEM segmentation, FlyWire/neuPrint/MICrONS/H01 graphs, and…
原文の言語: 英語
Provides a test-driven method for creating and validating agent skills. Use when creating new skills, editing existing skills, or verifying skills before deployment.
原文の言語: 英語
The standard Python SQL toolkit and ORM — 2.x style only. Covers declarative models with DeclarativeBase/Mapped/mapped_column, engine and session lifecycle, CRUD with select() and Session.scalars(), relationships and eager loading (selectinload vs…
原文の言語: 英語
Reactive Python notebooks stored as pure .py files — cells form a dependency DAG, so changing one cell automatically reruns its dependents (or marks them stale under the lazy runtime) and hidden state cannot exist. Covers the notebook file format, marimo…
原文の言語: 英語
Building ML demos and web UIs in Python with Gradio 6 — gr.Interface for wrapping a function, gr.Blocks for custom layouts with event listeners, gr.ChatInterface for LLM chat, streaming generator outputs, gr.State, image/audio components, queueing and…
原文の言語: 英語
Building data apps and dashboards in Python with Streamlit — the top-to-bottom rerun model, st.session_state, caching with st.cache_data/st.cache_resource, forms and st.fragment to limit reruns, multipage apps via st.Page/st.navigation, chat UIs…
原文の言語: 英語
LangGraph is a low-level orchestration framework for building stateful LLM agents and workflows as explicit graphs — typed state with reducers, nodes/edges/conditional routing, checkpointer-backed persistence and thread memory, human-in-the-loop interrupts,…
原文の言語: 英語
Expert-thinking profile for Immunogeneticist (clinical laboratory / transplant histocompatibility / MHC population genetics): Reasons from HLA/KIR/FcγR diversity, haplotype LD, and epitope immunogenicity; adjudicates NGS typing, imputation fine- mapping,…
原文の言語: 英語
Expert-thinking profile for Computational Physicist (computational / dry / HPC simulation): Reasons from governing equations, discretization, and HPC scaling through code/solution verification, DFT, MD, Monte Carlo, and FEM/FVM workflows (VASP, LAMMPS,…
原文の言語: 英語
Cloudflare Workers CLI for deploying, developing, and managing Workers, KV, R2, D1, Vectorize, Hyperdrive, Workers AI, Containers, Queues, Workflows, Pipelines, and Secrets Store. Load before running wrangler commands to ensure correct syntax and best…
原文の言語: 英語
Build and run evaluators for AI/LLM applications using Phoenix.
原文の言語: 英語