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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。
Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classification, object detection), audio (speech recognition, audio…
原文の言語: 英語
Submit compact ClinicalTrials.gov API v2 requests for study search, metadata, enums, search areas, and field statistics. Use when a user wants concise ClinicalTrials.gov summaries
原文の言語: 英語
Expert-thinking profile for Chemical Engineer (process design / unit operations / separations & reaction engineering / HAZOP safety (API 520, IEC 61511) / Aspen flowsheeting): Reasons from closing mass, energy, and momentum balances and competing…
原文の言語: 英語
Guide for upgrading Stripe API versions and SDKs
原文の言語: 英語
Expert-thinking profile for Fusion Scientist (experimental plasma physics / integrated modeling / fusion systems): Reasons from Lawson triple product and Q through tokamak/stellarator confinement (H-mode, ELMs, RMP), NBI/ICRH/ECRH heating,…
原文の言語: 英語
Expert-thinking profile for Geomagnetist (observatory / satellite / paleomag & rock magnetic lab): Reasons from spherical-harmonic main-field theory and remanence physics through IGRF-14/WMM2025 vs CHAOS-8 SV, INTERMAGNET baseline adoption (IBFV2.00), Swarm…
原文の言語: 英語
Vercel Queues guidance (public beta) — durable event streaming with topics, consumer groups, retries, and delayed delivery. $0.60/1M ops. Powers Workflow DevKit. Use when building async processing, fan-out patterns, or event-driven architectures.
原文の言語: 英語
Zoom Meeting SDK for Web - Embed Zoom meeting capabilities into web applications. Two integration options: Client View (full-page, familiar Zoom UI) and Component View (embeddable, Promise-based API). Includes SharedArrayBuffer setup for HD video, gallery…
原文の言語: 英語
ParaView scientific visualization for volume data and meshes. Use this skill when Claude needs to: (1) Visualize 3D volume data (CT, MRI, scientific simulations), (2) Create isosurfaces, slices, volume renderings, (3) Visualize vector fields with…
原文の言語: 英語
DSPy declarative framework for automatic prompt optimization treating prompts as code with systematic evaluation and compilers
原文の言語: 英語
Rowan is a cloud-native molecular modeling and medicinal-chemistry workflow platform with a Python API. Use for pKa and macropKa prediction, conformer and tautomer ensembles, docking and analogue docking, protein-ligand cofolding, MSA generation, molecular…
原文の言語: 英語
Render Mermaid source locally and preview it in Ghostty, Kitty, or another Kitty-graphics-compatible terminal. Use when a user wants to see a Mermaid diagram without opening a browser; do not use for general image viewing or non-Mermaid diagrams.
原文の言語: 英語
Multi-perspective academic paper review with dynamic reviewer personas. Runs a 5-seat, role-separated review panel (Journal-Fit Reviewer + 3 peer-review roles + Devil's Advocate) with field-specific expertise; role separation is not a claim of independent…
原文の言語: 英語
12-agent academic paper writing pipeline. 11 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure/rebuttal-audit). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF…
原文の言語: 英語
Use for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring…
原文の言語: 英語
Guide for writing ast-grep rules to perform structural code search and analysis. Use when users need to search codebases using Abstract Syntax Tree (AST) patterns, find specific code structures, or perform complex code queries that go beyond simple text…
原文の言語: 英語
The base44 CLI covers base44 projects: resource configuration (entities, backend functions, ai agents), initialization and actions (resource creation, deployment). This skill is the place for learning about how to configure resources. Read this skill when…
原文の言語: 英語
The base44 SDK is the library to communicate with base44 services. In projects, you use it to communicate with remote resources (entities, backend functions, ai agents) and to write backend functions. This skill is the place for learning about available…
原文の言語: 英語
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",…
原文の言語: 英語
Use before creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
原文の言語: 英語
Bulk Q&A Answers skill for Datasite deal rooms. Use this skill whenever a sell-side deal team wants to answer multiple buyer questions at once, generate AI draft responses from VDR content, produce a Q&A tracker spreadsheet, or build a Q&A management…
原文の言語: 英語
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…
原文の言語: 英語
Turn a loose idea into a sequenced map of investigation tickets, then drive them to resolution one at a time.
原文の言語: 英語
Document Quality Check skill for Datasite deal rooms. Use this skill whenever a deal team wants to audit document quality before going live to buyers. Triggers include: "check document quality", "flag bad documents", "find password protected files", "check…
原文の言語: 英語
Generates an end-of-day wrap-up using the Superhuman Mail MCP server — identifies open loops, unanswered emails, and action items from your day so you can leave work with a clear head. Use this skill whenever someone asks to "wrap up my day", "what's still…
原文の言語: 英語
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. Use when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates…
原文の言語: 英語
Load this skill before every `create_new_file` tool call. Trigger whenever the user wants a new blank Figma file — a new design, FigJam, or Slides file — or when you need a fresh file before calling `use_figma`. Usage — /figma-create-new-file [editorType]…
原文の言語: 英語
Load this skill BEFORE every `generate_diagram` tool call. Trigger whenever the user asks to create, generate, draw, render, sketch, or build a diagram — flowchart, architecture diagram, sequence diagram, ERD or entity-relationship diagram, state diagram or…
原文の言語: 英語
Load this skill before every `use_figma` tool call. Trigger whenever the user wants to perform a write action or a unique read action that requires JavaScript execution in the Figma file context — e.g. create/edit/delete nodes, set up variables or tokens,…
原文の言語: 英語
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. Use when the user is looking for functionality that might exist as…
原文の言語: 英語
Data Room Gap Analysis skill for Datasite deal rooms. Use this skill whenever a sell-side deal team wants to audit what is missing, sparse, or incomplete in their data room before going live to buyers. Triggers include: "run a gap analysis", "what's missing…
原文の言語: 英語
Use when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic…
原文の言語: 英語
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). Use when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches…
原文の言語: 英語
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",…
原文の言語: 英語
This skill installs mixpanel_headless, pandas, numpy, matplotlib, seaborn, networkx, anytree, scipy (and pyarrow on Python 3.11+), then verifies Mixpanel credentials. Use when setting up a new environment for Mixpanel data analysis, when dependencies are…
原文の言語: 英語
Use when the user asks about Mixpanel product analytics, event data, funnel analysis, retention curves, cohort analysis, segmentation queries, user behavior, conversion rates, churn, DAU/MAU, ARPU, revenue metrics, feature adoption, A/B test results, user…
原文の言語: 英語
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",…
原文の言語: 英語
Use when the task involves authentication, user signups, logins, password recovery, OAuth providers, role-based access control, or protecting routes and functions. Use `@netlify/identity`. Never use `netlify-identity-widget` or `gotrue-js` — they are…
原文の言語: 英語
Integration with protocols.io API for managing scientific protocols. Use when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and…
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