「transactions」の検索結果

Integrate PayPal payment processing with support for express checkout, subscriptions, and refund management. Use when implementing PayPal payments, processing online transactions, or building e-commerce checkout flows.

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 when working with Payload projects (payload.config.ts, collections, fields, hooks, access control, Payload API). Use when debugging validation errors, security issues, relationship queries, transactions, or hook behavior.

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Implement idempotency keys and handling to ensure operations can be safely retried without duplicate effects. Use when building payment systems, APIs with retries, or distributed transactions.

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。

Get insider trading activity (SEC Form 4 filings) for one or more stocks. Use when user asks about insider buying/selling, executive transactions, insider sentiment, or Form 4 activity.

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。

Inspect or save reusable FF&E library products through reviewed, guarded transactions. Use for explicit library imports, corrections or recovery; adopted selections and workbook reconciliation belong to master-schedule.

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。

Look up NYC ACRIS deeds, mortgages, liens, sales, and ownership history. Use for property transactions or recorded ownership; not permits or violations.

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Draft, restructure, and diagnose IEEE-style technical manuscript sections using a routed static/dynamic workflow. Use for IEEE conference, journal, Transactions, Letters, or magazine papers when writing titles, abstracts, introductions, related work, methods, experiments, conclusions, contribution statements, section outlines, or Chinese-to-English engineering paper drafts in AI, computer science, communications, control, signal processing, electrical/electronic engineering, power, robotics, circuits, and applied systems.

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Review IEEE conference, journal, Transactions, Letters, or magazine manuscripts from a technical reviewer perspective using routed IEEE review gates. Use when evaluating scope fit, novelty, validity, data, clarity, compliance, advancement, engineering significance, method soundness, experiment sufficiency, baseline fairness, figure/table quality, formatting risks, rejection risk, major revision strategy, pre-submission readiness, or the quality and specificity of reviewer comments that may be generic, careless, contradictory, or possibly AI-generated.

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Provides patterns to implement persistence layers with Spring Data JPA. Use when creating repositories, configuring entity relationships, writing queries (derived and `@Query`), setting up pagination, database auditing, transactions, UUID primary keys, multiple databases, and database indexing.

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。

Provides Amazon DynamoDB patterns using AWS SDK for Java 2.x. Use when creating, querying, scanning, or performing CRUD operations on DynamoDB tables, working with indexes, batch operations, transactions, or integrating with Spring Boot applications.

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。

How to query a Well workspace correctly — discover the schema first, then query the right root. Use whenever the user asks about their invoices, companies, contacts, bank transactions, accounts, or accounting ledger in Well, or before writing any well_query_records call.

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。

Forecast cash flow and runway for a Well workspace from booked invoices and collected bank transactions. Use when the user asks for a cash-flow forecast, runway, how long until they run out of cash, projected balance, or expected inflows/outflows.

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Use when defining or debugging Spring Boot 4 database transaction boundaries, rollback, propagation, optimistic-lock retries, or commit-bound events. For duplicate HTTP commands use idempotency-patterns; for reactive transactions use webflux-reactive-patterns.

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 when defining or debugging Spring Boot 3 database transaction boundaries, rollback, propagation, optimistic-lock retries, or commit-bound events. For duplicate HTTP commands use idempotency-patterns; for reactive transactions use webflux-reactive-patterns.

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Automatically generate TLA+ specifications from source code (C/C++, Python) for formal verification of distributed systems. Use when users need to: (1) Generate TLA+ specs from program implementations, (2) Model distributed systems, consensus protocols, or concurrent algorithms, (3) Extract state variables, actions, and invariants from code, (4) Create formal specifications for model checking with TLC, (5) Verify safety and liveness properties of distributed systems. Particularly effective for message-passing systems, replication protocols, consensus algorithms, and distributed transactions.

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This skill should be used when completing LBO (Leveraged Buyout) model templates in Excel for private equity transactions, deal materials, or investment committee presentations. The skill fills in formulas, validates calculations, and ensures professional formatting standards that adapt to any template structure.

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ACTIVATE when evaluating acquisition targets, conducting M&A due diligence, planning integration strategy, analyzing synergies, preparing sale materials, assessing culture fit, valuing targets, creating merger checklists, or managing M&A transactions. Critical for executives involved in buy-side or sell-side M&A, from initial target evaluation through post-acquisition integration.

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Use for bun:sqlite, SQLite operations, prepared statements, transactions, and queries.

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Comparable company analysis, trading comps, peer multiples, EV/EBITDA comparison, P/E benchmarking, comps table, relative valuation, industry multiples, precedent transactions, trading comparable analysis

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。

IOTA blockchain MCP server providing wallet management with human-in-the-loop signing, Move smart contract build/test/publish, and on-chain queries via JSON-RPC and GraphQL. Use when interacting with IOTA network from AI coding agents, managing IOTA wallets, building or publishing Move packages, querying on-chain objects or transactions, or checking epoch and network statistics.

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Expertise in F2P economics, virtual currencies, and ethical monetization strategiesUse when "game monetization, F2P economy, in-app purchase, IAP strategy, battle pass design, loot box, gacha system, virtual currency, player LTV, whale monetization, game economy balance, premium currency, season pass, daily rewards, pay to win, ethical monetization, monetization, f2p, free-to-play, iap, in-app-purchase, battle-pass, season-pass, gacha, loot-box, virtual-economy, game-economy, ltv, arpu, retention, whales, pricing, microtransactions" mentioned.

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 in on-chain privacy technologies - ZK-SNARKs, ZK-STARKs, mixers, stealth addresses, ring signatures, and confidential transactions for building privacy-preserving blockchain applicationsUse when "privacy, zero knowledge, zk-snark, zk-stark, mixer, stealth address, ring signature, confidential transaction, tornado, private transaction, anonymous, unlinkability, privacy, zero-knowledge, zk-snarks, zk-starks, mixers, stealth-addresses, tornado-cash, zcash, confidential" mentioned.

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。

Interact with Ethereum and EVM blockchains using ethers.js. Use when a user asks to connect to Ethereum, read blockchain data, send transactions, interact with smart contracts, or build a dApp frontend.

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。

Automate bookkeeping workflows by parsing bank statements (CSV/OFX/QIF), categorizing transactions using rules or AI, reconciling accounts, generating expense reports, and detecting duplicates. Use when: automating transaction categorization, building reconciliation pipelines, processing bank exports, or generating expense summaries without manual data entry.

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。