95 件 ・ 関連度順
概要と使いどころ
Create, edit, or validate reproducible SQL or Python notebooks. Use for notebooks, SQL/Python scratchpads, reproducible exploration, audit trails, or runnable companions where the analysis should be reviewable or rerunnable.
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Use when configuring the Salesforce product catalog and pricing structure: creating Product2 records, setting up Standard and custom Pricebooks, managing PricebookEntry junction records, enabling multi-currency pricing, configuring Product Schedules (Revenue and Quantity), or troubleshooting incorrect prices on Opportunity line items and Quotes. Triggers: 'add product to pricebook', 'pricebook entry', 'standard pricebook', 'product catalog', 'multi-currency product pricing', 'product schedule', 'revenue schedule', 'quantity schedule', 'deactivate product'. NOT for bulk catalog loads — use data/product-catalog-data-model. NOT for CPQ bundles and product rules — use admin/cpq-product-catalog-setup.
日本語の概要は準備中です。原文の説明を表示しています。
Configure pricebooks, tiered pricing, promotions, coupon codes, and cart discounts for B2B or D2C Commerce stores. Trigger keywords: WebStorePricebook, BuyerGroupPricebook, PriceAdjustmentSchedule, PromotionsCartCalculator, commerce coupon, cart-level discount, tiered price, Commerce promotion. NOT for Sales Cloud pricebooks and PricebookEntry - use admin/products-and-pricebooks. NOT for CPQ quote pricing and discount schedules - use admin/cpq-pricing-rules.
日本語の概要は準備中です。原文の説明を表示しています。
Pedagogical patterns for enriching notebooks (GameTheory model). Use when adding interpretations, structuring notebooks, or creating educational content in Jupyter notebooks.
日本語の概要は準備中です。原文の説明を表示しています。
Validate the GenAI stack (services, authentication, models, notebooks, GPU). Arguments: [all|services|auth|models|notebooks|vram] [--full] [--auth-only] [--nodes-only] [--notebooks]
日本語の概要は準備中です。原文の説明を表示しています。
Query and manage Google NotebookLM notebooks with persistent profile auth, source sync, batch/multi queries, and structured exports. Use when user asks to query NotebookLM, 'ask my notebook', shares NotebookLM notebook URLs, wants to list/create notebooks, manage sources, do bulk folder sync, dedupe, or audit exports.
日本語の概要は準備中です。原文の説明を表示しています。
Electronic lab notebook API integration. Access notebooks, manage entries/attachments, backup notebooks, integrate with Protocols.io/Jupyter/REDCap, for programmatic ELN workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Enables interaction with Google NotebookLM for advanced RAG (Retrieval-Augmented Generation) capabilities via the notebooklm-mcp-cli tool. Use when querying project documentation stored in NotebookLM, managing research notebooks and sources, retrieving AI-synthesized information, generating audio podcasts or reports from notebooks, or performing contextual queries against curated knowledge bases. Triggers on "notebooklm", "nlm", "notebook query", "research notebook", "query documentation in notebooklm".
日本語の概要は準備中です。原文の説明を表示しています。
This skill should be used when the user wants to query their Google NotebookLM notebooks for citation-backed, source-grounded answers, or manage notebooks, sources, and Studio content (audio, report, video, infographic, presentation, data table, flashcards, quiz, mind map). It drives the @roomi-fields/notebooklm-mcp engine — via the notebooklm MCP tools when they are available in the session, otherwise via its HTTP REST API — and covers Google login, citation formats, the daily-quota-aware batch/ingestion pattern, and source discovery.
日本語の概要は準備中です。原文の説明を表示しています。
Kaggle-first end-to-end competition workflow for scored submissions. Use when Codex must run Kaggle or competitive ML workflows through scored submission, including code competitions, validation, metrics, policy-safe public notebook/discussion intel, tabular/text/image modeling, tuning, ensembling/stacking, proactive multi-notebook architectures, producer notebooks that train models and export private Kaggle artifact datasets, downstream consumer notebooks, Kaggle GPU offload, kagglehub access, hidden-test debugging, and public score retrieval.
日本語の概要は準備中です。原文の説明を表示しています。
Kaggle-first end-to-end competition workflow for scored submissions. Use when Codex must run Kaggle or competitive ML workflows through scored submission, including code competitions, validation, metrics, policy-safe public notebook/discussion intel, tabular/text/image modeling, tuning, ensembling/stacking, proactive multi-notebook architectures, producer notebooks that train models and export private Kaggle artifact datasets, downstream consumer notebooks, Kaggle GPU offload, kagglehub access, hidden-test debugging, and public score retrieval.
日本語の概要は準備中です。原文の説明を表示しています。
Use this when creating, editing, executing, or reviewing Jupyter notebooks — including cell structure, kernel management, extracting reusable logic to src/, and ensuring notebooks are restartable.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when setting up or modifying product bundles, product options, product rules, configuration attributes, and product features in Salesforce CPQ. Trigger keywords: CPQ product bundle, product rule, option constraint, feature configuration, dynamic bundle, filter rule, configuration attribute, bundle nesting. NOT for plain Products and Pricebooks without CPQ — use admin/products-and-pricebooks. NOT for moving an existing CPQ catalog between orgs — use data/product-catalog-migration-cpq. NOT for price rules, price actions or discount schedules — use admin/cpq-pricing-rules.
日本語の概要は準備中です。原文の説明を表示しています。
Enrich Jupyter notebooks with pedagogical markdown content. Arguments: [target] [--execute] [--fix-errors] [--strict] [--consecutive] [--iterate]
日本語の概要は準備中です。原文の説明を表示しています。
Clean up and reorganize markdown in enriched Jupyter notebooks. Arguments: [target] [--dry-run] [--aggressive] [--hierarchy-only]
日本語の概要は準備中です。原文の説明を表示しています。
Verify and test Jupyter notebooks with iterative fixing. Arguments: [target] [--quick] [--fix] [--python-only] [--dotnet-only]
日本語の概要は準備中です。原文の説明を表示しています。
METAINFORMANT rules for directory projects/hymenoptera_amalgkit/notebooks. Use when editing, adding tests, or reviewing code under this path. Read the linked AGENTS.md first; use uv only, write outputs to output/, real implementations.
日本語の概要は準備中です。原文の説明を表示しています。
NotebookLM MCP server management - query notebooks, add from share links, handle auth, reset sessions. Use when working with Google NotebookLM notebooks for conversational research tasks.
日本語の概要は準備中です。原文の説明を表示しています。
Expert en produits digitaux avancé (ebooks, templates, presets, Notion, courses)
日本語の概要は準備中です。原文の説明を表示しています。
機械学習モデルを本番で使うために、データの仕様、再現可能な学習、品質評価、配備、監視、切り戻しを整理し、実装計画やレビュー項目にまとめるスキル。
Review and edit OpenAI Cookbook notebooks, Markdown, and MDX for technical accuracy, clarity, grammar, consistency, runnable examples, and repository publication requirements. Use for editorial reviews, pre-merge documentation checks, or notebook Markdown-cell sweeps in openai-cookbook.
日本語の概要は準備中です。原文の説明を表示しています。
When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or brand awareness. Also use when the user mentions "engineering as marketing," "free tool," "marketing tool," "calculator," "generator," "interactive tool," "lead gen tool," "build a tool for leads," "free resource," "ROI calculator," "grader tool," "audit tool," "should I build a free tool," or "tools for lead gen." Use this whenever someone wants to build something useful and give it away to attract leads or earn links. For downloadable content lead magnets (ebooks, checklists, templates), see lead-magnets.
日本語の概要は準備中です。原文の説明を表示しています。
SiYuan (思源笔记) CLI — manage notebooks, documents, blocks, and search your knowledge base from the terminal.
日本語の概要は準備中です。原文の説明を表示しています。
Experimental NotebookLM harness for listing notebooks, managing sources, asking questions, generating artifacts, and downloading outputs through an installed notebooklm CLI.
日本語の概要は準備中です。原文の説明を表示しています。