306 件 ・ 関連度順
概要と使いどころ
Fetch YouTube transcripts via APIFY API. Works from cloud IPs (Hetzner, AWS, etc.) by bypassing YouTube's bot detection. Free tier includes $5/month credits (~714 videos). No credit card required.
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。
Guides Metronome usage-based billing integration decisions — event ingestion (single and batch, idempotency, billable metrics), contract design (rate cards, overrides, dimensional pricing, products), invoicing lifecycle (grace periods, finalization, Stripe sync), credit and commit management (prepaid, postpaid, thresholds, auto-recharge), and Stripe integration (arrears invoicing, tax providers, line item limits). Use when building, modifying, or reviewing any Metronome integration — including ingesting usage events, creating customers, contracts, or rate cards, designing billable metric group keys, managing credits and commits, configuring invoicing, syncing invoices with Stripe Billing, billing AI applications for token usage, setting up self-serve (PLG) pricing, reviewing customer health, commit burn, portfolios, or renewals, or migrating from Stripe Billing Meters to Metronome.
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。
Takes a curriculum framework and a statutory or accreditation requirement list; produces a coverage table, gap summary, and CSV showing which framework content covers each requirement and where gaps exist.
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。
Detect and investigate bulk registration abuse on SaaS platforms. Given access to a user database (or exported CSV/JSON), run a multi-dimensional anomaly analysis — email domain clustering, registration tempo, UA fingerprinting, session structure, usage patterns, and credit consumption — to produce a scored abuse report with actionable recommendations. Use when investigating suspicious sign-up spikes, credit fraud, free-tier abuse, or account farming.
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 asks about the invoice system (インボイス制度), qualified invoices (適格請求書), registration numbers (登録番号), input tax credits (仕入税額控除), the 20% special measure (2割特例), the 30% special measure (3割特例), tax-exempt businesses (免税事業者), transitional measures (経過措置), small-amount exceptions (少額特例), corrected invoices (修正インボイス), or any related topics. Trigger phrases include: "インボイス", "適格請求書", "登録番号", "仕入税額控除", "2割特例", "3割特例", "免税事業者", "経過措置", "少額特例", "修正インボイス", "返還インボイス", "簡易インボイス", "インボイス登録", "T番号", "適格請求書発行事業者".
Takes a curriculum framework and a statutory or accreditation requirement list; produces a coverage table, gap summary, and CSV showing which framework content covers each requirement and where gaps exist.
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。
Power Platform ソリューションの全体アーキテクチャを設計する。Copilot Studio / Power Automate / Code Apps / Copilot Managed Runtime / Power Pages / AI Builder の使い分け判断、コンポーネント選定、統合パターンを決定する。社内向け画面は利用者のライセンス（Power Apps Premium か、Copilot Credits の従量課金か）と利用頻度をヒアリングし、Code Apps と Copilot Managed Runtime を使い分ける。構成が確定したら、実装着手前に admin スキルで環境チェック（既定環境ではないか・マネージド環境・Code Apps / MCP の有効化・セキュリティ ロール）と DLP 事前チェック（使用コネクタがブロックされていないか・Business / Non-business が混在しないか）を実行して結果をユーザーに提示する。Agent 365 の AI チームメイトを採用する場合はライト実装（PoC）と本格実装（private リポジトリ + CI/CD + Agent Evals）を AskUserQuestion で選ばせ、Git ホスティング（GitHub / Azure DevOps Repos / その他）も確定してから実装へ進む。外部の文章を読むエージェントではプロンプト インジェクション対策を設計段階で工数に含める。
The branded entry point to ServiceGraph — use whenever the user explicitly names **ServiceGraph** — "use ServiceGraph to…", "what datasets does ServiceGraph have", "search ServiceGraph for…", "look this up in ServiceGraph", "pull contacts from ServiceGraph for these domains", "how many credits do I have on ServiceGraph". ServiceGraph is a multi-dataset platform of metrics-enriched business data for founders — where to launch, who to email, who to hire. This skill explains how to drive the API (api.servicegraph.co / mcp.servicegraph.co) against ANY dataset — discover what datasets exist, discover a dataset's schema and filters, search free brief rows, and unlock contact + metric detail with credits. Dataset-agnostic by design — it discovers everything through the API and never assumes which datasets or fields exist. When the user describes an intent WITHOUT naming ServiceGraph (e.g. "find a PR agency in NY"), defer to the matching specific skill (find-pr-agency, find-marketing-agency, find-law-firm, …); this skill is for explicit ServiceGraph requests and for datasets no specific skill covers yet. Skip non-US firms, consumer/personal services, and individual freelancers.
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。
Structures dividend recap analysis with leverage impact, credit agreement compliance, and return enhancement calculation. Use when modeling dividend recaps, evaluating interim distributions, or analyzing recapitalization options.
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。
Builds revolving securitization models with replenishment criteria, early amortization triggers, and portfolio composition limits. Use when modeling revolving structures, analyzing credit card ABS, or evaluating asset purchase criteria.
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。
Builds recovery waterfall models with absolute priority, secured vs unsecured claims, and plan of reorganization distribution analysis. Use when modeling bankruptcy recoveries, analyzing claim priorities, or estimating creditor distributions.
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。
Evaluates rating agency methodology application with loss model inputs, correlation assumptions, and tranche-level credit assessment. Use when analyzing structured product ratings, comparing agency methodologies, or assessing rating sensitivity.
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。
Assesses underlying asset pools with stratification, concentration analysis, historical performance, and credit quality distribution. Use when analyzing collateral pools, stratifying asset characteristics, or evaluating pool quality.
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。
Evaluates trade finance structures with letters of credit, supply chain financing, and receivables factoring for cross-border commerce. Use when analyzing trade finance, evaluating LC structures, or assessing supply chain financing.
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。
Deconstructs structured note payoffs with embedded option identification, issuer credit risk, and all-in cost analysis. Use when analyzing structured notes, evaluating embedded options, or assessing structured product costs.
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。
Evaluates 363 sale processes with stalking horse protections, bid procedures, and credit bidding mechanics. Use when analyzing 363 sales, structuring stalking horse bids, or evaluating asset sale alternatives.
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。
Evaluates mezzanine structures with PIK toggle, equity kickers, and intercreditor subordination mechanics. Use when analyzing mezzanine financing, comparing subordinated debt terms, or modeling layered capital structures.
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。
Evaluates IG bond market conditions with spread analysis, maturity curve optimization, and investor demand assessment. Use when advising IG issuers, analyzing credit spreads, or timing IG bond offerings.
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。
Evaluates MBS structures with prepayment modeling (CPR/CDR), collateral analysis, and tranche-level credit risk assessment. Use when analyzing MBS, modeling prepayment scenarios, or evaluating residential mortgage pools.
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。
Evaluates ISDA Master Agreement provisions with close-out netting, termination events, and credit support annexes. Use when reviewing ISDA terms, analyzing CSA provisions, or assessing documentation risk.
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。
Evaluates convertible bond and mandatory convertible structures with equity sensitivity, credit floor, and Greeks analysis. Use when analyzing convertible offerings, pricing equity-linked instruments, or modeling conversion economics.
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。
Generate cinematic case study pages for films, documentaries, photography portfolios, and creative projects — film-frame hero images, structured crew credit grids, dark footage galleries, festival award sections, scroll-choreographed reveals via data-attribute animation orchestration. Warm cream palette with analog typography. Single-file HTML, zero build step. Triggers on film case study, documentary showcase, filmmaker portfolio, production company website, film credits page, creative project case study, director portfolio, photography case study.
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。
Gate resumption of any multi-day LLM batch-scoring campaign that calls an unpinned model alias (deepseek-chat, gpt-*-latest, gemini-*-preview, any provider alias without a pinned version). Use when: (1) resuming a paused or credit-exhausted scoring run days after its last chunk, (2) topping up credits to finish a campaign, (3) extending a cached scoring pipeline with new items. Prevents silently splicing two model versions or serving revisions into one measure. Verified 2026-07-16: for $0.30 caught a serving-revision drift WITHIN DeepSeek v4-flash (same alias, same family, litigation scores systematically shifted across a 2-day gap) before an $83 resume spend.
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。
Audit credit risk modeling software for scoring algorithm accuracy, regulatory compliance (ECOA, FCRA, SR 11-7), bias and disparate impact testing, model governance lifecycle, and explainability..
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。