new-product
について
このClaudeスキルは、Google Driveのドキュメントからコンテンツを収集し、企業向けのプロダクト白書を生成します。「プロダクト白書を作成して」といったリクエストで起動され、SaaS、ハードウェア、またはサービス提供を対象に設計されています。このスキルは構造化されたワークフローに従い、経営層や技術系読者向けの戦略的で調査に基づいた文書を作成します。
クイックインストール
Claude Code
推奨/plugin add https://github.com/christopheryeo/claude-skillsgit clone https://github.com/christopheryeo/claude-skills.git ~/.claude/skills/new-productこのコマンドをClaude Codeにコピー&ペーストしてスキルをインストールします
ドキュメント
Product White Paper
Generate enterprise-grade product white papers that serve as strategic assets for educating buyers and presenting research-backed solutions to complex business problems.
Workflow
Follow these steps to generate a product white paper:
-
Understand the Product: Clarify which product requires a white paper and identify the target audience (C-suite executives, technical decision-makers, or both)
-
Gather Source Material: Search Google Drive for existing product documentation, including:
- Product specifications and feature descriptions
- Technical architecture documentation
- Customer case studies or testimonials
- Competitive analysis
- ROI data or success metrics
- Implementation guides
- Governance and compliance documentation
-
Read the Structure Guide: Load
references/white-paper-essentials.mdto understand the required structure and tone -
Generate the White Paper: Create the white paper following the six-section structure, incorporating information from the gathered source material
-
Present in Chat: Output the complete white paper in the chat window formatted in markdown for easy copy-paste
Search Strategy
When searching Google Drive for source material, use multiple targeted searches:
For product information:
name contains '[product-name]' and (mimeType = 'application/vnd.google-apps.document' or mimeType = 'application/pdf')
For technical documentation:
fullText contains '[product-name]' and (fullText contains 'architecture' or fullText contains 'technical' or fullText contains 'specification')
For business value content:
fullText contains '[product-name]' and (fullText contains 'ROI' or fullText contains 'value' or fullText contains 'benefit' or fullText contains 'case study')
Cast a wide net initially, then narrow based on relevance. Review multiple documents to synthesize comprehensive content.
White Paper Structure
The white paper must follow this six-section structure (detailed in references/white-paper-essentials.md):
- Executive Summary - High-impact summary of strategic and technical takeaways
- The Strategic Imperative - Problem articulation, market context, and business justification
- The Solution Blueprint - Product features, capabilities, and operational benefits
- Building Trust - Governance, assurance, explainability, and risk mitigation
- Enterprise Value and ROI - Multi-dimensional value framework and workforce augmentation
- Implementation and Next Steps - Roadmap, change management, and clear call-to-action
Tone and Quality Standards
Adhere to these principles:
- Educational, not promotional: Establish expertise through depth and research, avoid overt sales language
- Formal and auditable: Use engineering/legal-grade formality with verifiable claims
- Research-backed: Ground all assertions in evidence from source materials
- Executive-relevant: Balance technical depth with strategic business value
- Conversion-oriented: Include clear takeaways and actionable next steps
Output Format
Present the white paper directly in the chat window using markdown formatting:
- Use proper heading hierarchy (# for title, ## for main sections, ### for subsections)
- Bold key terms and concepts for scannability
- Include bullet points for lists of features or benefits
- Maintain professional formatting for easy copy-paste into document editors
Key References
- Detailed structure and requirements: See
references/white-paper-essentials.mdfor comprehensive guidance on each section's purpose, required elements, and tone
GitHub リポジトリ
関連スキル
content-collections
メタThis skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.
evaluating-llms-harness
テストThis Claude Skill runs the lm-evaluation-harness to benchmark LLMs across 60+ standardized academic tasks like MMLU and GSM8K. It's designed for developers to compare model quality, track training progress, or report academic results. The tool supports various backends including HuggingFace and vLLM models.
sglang
メタSGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.
cloudflare-turnstile
メタThis skill provides comprehensive guidance for implementing Cloudflare Turnstile as a CAPTCHA-alternative bot protection system. It covers integration for forms, login pages, API endpoints, and frameworks like React/Next.js/Hono, while handling invisible challenges that maintain user experience. Use it when migrating from reCAPTCHA, debugging error codes, or implementing token validation and E2E tests.
