Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

検索結果: pricing-law

英語版ディレクトリ

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

17K
Stars
87/100
信頼
カテゴリ: agent-frameworks監査

Open Source Metering and Usage Based Billing API ⭐️ Consumption tracking, Subscription management, Pricing iterations, Payment orchestration & Revenue analytics

10K
Stars
81/100
信頼
カテゴリ: finance監査

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

3.1K
Stars
80/100
信頼
カテゴリ: finance監査

AI-Engineering Foundation Framework built with AI and designed for AI. Hundreds of architectural and domain decisions (multi-tenancy, RBAC, event flow, pricing, sales pipeline,CRM/ERP processes) are already made conventions and specs so agents (Cursor, Claude Code, Codex) arch. decisions without reinventing. Ship production grade with AI Agents.

1.4K
Stars
85/100
信頼
カテゴリ: agent-frameworks監査

A curated set of agent skills for the Venice AI API, providing SKILL.md instructions for agent runtimes like Cursor, Claude, and Codex.

122
Stars
75/100
信頼
カテゴリ: utility監査

When the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.

25K
Stars
77/100
信頼
カテゴリ: design-creative監査

Turn any domain folder of skills into a bounded agentic loop: compile a goal into a verifiable task plan, execute tasks with the domain's own tools, verify every task with machine-run checks, retry with caps, escalate to a human when budgets exhaust, and refuse to close until everything is verified or explicitly waived. Use when you want an agent or subagent to pick up a goal and drive it to a verified close across one of this repo's 18 domains ('run this goal through the engineering harness', 'set up an agentic loop for marketing work', 'make the finance domain self-verifying'). NOT for authoring Claude Code Workflow-tool .js scripts (workflow-builder), N-agent tournaments on one task (agenthub), single-file metric optimization (autoresearch-agent), or discovering published loop recipes (loop-library).

25K
Stars
72/100
信頼
カテゴリ: research監査

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.

25K
Stars
77/100
信頼
カテゴリ: design-creative監査

Use Web Scraper API to extract data from Google Finance, including stock titles, pricing, and price changes in percentages.

1.1K
Stars
70/100
信頼
カテゴリ: web-automation監査

💸 Calculate estimated monthly costs of Google Cloud Platform products and resources via YAML files and CLI program (Linux, macOS, Windows)

217
Stars
67/100
信頼
カテゴリ: document-processing監査

Look up A-share, Hong Kong, and US stock tickers and retrieve historical OHLCV price data for research.

2.8K
Stars
69/100
信頼
カテゴリ: Finance監査

A library for financial options pricing written in Python.

1.6K
Stars
68/100
信頼
カテゴリ: finance監査