20251113 - 克劳德技能的5个惊人用例 - Rick Mulready’s ‘5 Mind-Blowing Use Cases of Claude Skills’ YouTube Video Prompts from Video¶

分类: Clippings
创建: 2025-11-13
标签: 克劳德技能, 在线企业家, AI Playbook, 自动化工作流, 客户报告生成器, 调查数据分析

Rick Mulready’s ‘5 Mind-Blowing Use Cases of Claude Skills’ YouTube Video: Prompts from Video¶

摘要 (Summary)¶

此页面包含了《克劳德技能视频》中介绍的5个令人震惊的用例的所有提示。

要点 (Key Facts)¶

该页面介绍了5个克劳德技能用例。
提供领英评分计算器、客户报告生成器、调查数据分析技能等提示。
鼓励在线企业家加入AI Playbook社区以获得工作流程和支持。

正文 (Content)¶

This page contains all the prompts featured in the 5 Mind-Blowing Use Cases of Claude Skills video.

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(Use Case #1 was a pre-made Skill by Claude)

Use Case 2. Lead Scoring Calculator Prompt¶

A Claude Skill that generates an Excel spreadsheet that scores and ranks leads based on customizable criteria. Copy and customize as you see fit.

Create a Skill called "Lead Scoring Calculator" that does the following:

PURPOSE: Generate an Excel spreadsheet that scores and ranks leads based on customizable criteria.

INPUTS THE SKILL SHOULD REQUEST: 1. List of leads with their details (name, company, relevant data points) 2. Scoring criteria with weights (or use defaults if not provided)

DEFAULT SCORING CRITERIA (if user doesn't specify): - Company Size: 20 points max (1-10 employees = 5pts, 11-50 = 10pts, 51-200 = 15pts, 200+ = 20pts) - Budget: 30 points max ($10K-25K = 10pts, $25K-50K = 20pts, $50K+ = 30pts) - Timeline: 25 points max (Just researching = 5pts, 3-6 months = 15pts, Ready now = 25pts) - Industry Fit: 15 points max (Poor fit = 0pts, Okay fit = 8pts, Perfect fit = 15pts) - Engagement Level: 10 points max (Cold = 2pts, Warm = 6pts, Hot = 10pts)

OUTPUT: Create an Excel file with these columns: - Lead Name - Company - Company Size Score - Budget Score - Timeline Score - Industry Fit Score - Engagement Score - TOTAL SCORE (sum of all scores) - PRIORITY RANK (1 = highest score)

FORMATTING: - Sort by Total Score (highest to lowest) - Add conditional formatting: * Green fill for scores 70+ * Yellow fill for scores 50-69 * Red fill for scores below 50 - Bold the column headers - Auto-fit column widths - Include a summary at the top showing: Total Leads, Avg Score, # of Hot Leads (70+)

Make the Skill friendly and ask clarifying questions if the lead data provided is unclear.

Use Case 3. Client Report Builder Skill Prompt¶

A Claude Skill that reads project files from a specified folder on your computer and generates a comprehensive, formatted PDF report suitable for client delivery. Copy and customize as you see fit.

Create a Skill called "Client Report Builder" that generates professional PDF client reports.

PURPOSE: Read project files from a specified folder on my computer and generate a comprehensive, formatted PDF report suitable for client delivery.

THE SKILL SHOULD:

ASK THE USER FOR:
Path to the project folder
Client name (if not in files)
Report date
READ these files from the folder:
project-data.txt (project details, objectives, deliverables)
metrics.csv (performance data)
notes.txt (wins, challenges, feedback)
GENERATE A PDF with these sections:

COVER PAGE: - Client name (large, prominent) - Project title - Report date - "Prepared by [Your Name/Company]"

EXECUTIVE SUMMARY (1 page): - Brief project overview (2-3 sentences) - Key achievements (3-4 bullet points, data-driven) - Overall assessment (success level, notable wins)

PROJECT OVERVIEW: - Objectives (bulleted list from project-data.txt) - Deliverables completed (formatted list) - Timeline and scope

RESULTS & METRICS: - Create a formatted table from metrics.csv - Include: Metric name, Target, Actual, Variance - Add brief analysis highlighting top 3 performing metrics

KEY WINS: - Extract from notes.txt - Format as scannable bullets - Include supporting data where available

CHALLENGES & SOLUTIONS: - Extract challenges from notes.txt - Frame positively (what was learned, how it was handled)

CLIENT FEEDBACK: - Direct quote from notes.txt (formatted as blockquote)

RECOMMENDATIONS & NEXT STEPS: - Based on all data, suggest 3-5 concrete next steps - Focus on: what worked (do more), opportunities for improvement, logical expansions - Include estimated timelines or resource needs if relevant

APPENDIX (optional): - Full metrics table - Detailed deliverables list

FORMATTING REQUIREMENTS: - Professional business style (clean, scannable) - Use headings and subheadings - Include page numbers - Add whitespace for readability - Metrics table should be clearly formatted - Bullet points for lists - Bold key numbers and achievements

The Skill should be conversational and confirm the folder path before reading files.

If files are missing or unreadable, provide helpful error messages.

Use Case 4. Survey Data Analyzer Skill Prompt¶

A Skill that acts as a strategic business decision-making partner that helps entrepreneurs evaluate options using proven frameworks. Customize as you see fit.

Create a Claude Skill (SKILL.md file) for strategic business decision-making that helps entrepreneurs evaluate options using proven frameworks.

The skill should:

Apply multiple decision-making frameworks simultaneously:
First Principles Thinking (break down to fundamental truths)
Pareto's 80/20 Rule (identify highest-leverage actions)
Systems Thinking (understand interconnections and second-order effects)
Jobs-to-Be-Done (understand what outcome the user is actually trying to achieve)
For every decision analysis, provide:
Clear recommendation with justification
Alternative approaches considered
Potential blind spots or risks
Impact on profit margins (when relevant)
Trade-offs between options
Second-order consequences
Structure responses as:
The Real Question: Reframe using Jobs-to-Be-Done
First Principles Analysis: Break down assumptions
80/20 Assessment: Identify highest-leverage path
Systems View: Map interconnections and ripple effects
Recommendation: Clear position with reasoning
Alternatives: Other viable paths
Blind Spots: What could go wrong
Decision Framework: How to evaluate success
Tone and approach:
Direct and intellectually honest
Challenge assumptions when warranted
Provide specific critique, not generic praise
Use plain language, avoid buzzwords
Take clear positions rather than hedging
Ask one high-impact question rather than many shallow ones
For business decisions, always consider:
Time investment required
Profit margin impact
Scalability potential
Compounding vs. one-time value
Opportunity cost
Alignment with strategic goals

The skill should help users make faster, better-informed decisions by systematically applying multiple frameworks rather than relying on intuition alone.

Format the output as a complete SKILL.md file ready to be uploaded to Claude.

Use Case 5. Survey Data Analyzer Skill Prompt¶

This Skill transforms raw survey data into actionable insights with multiple formatted outputs: summary report, visualizations, key findings, and recommendations. Copy and customize as you see fit.

Create a Skill called "Survey Data Analyzer" that reads survey response CSVs and generates comprehensive analysis deliverables.

PURPOSE: Transform raw survey data into actionable insights with multiple formatted outputs: summary report, visualizations, key findings, and recommendations.

THE SKILL SHOULD:

ASK THE USER FOR:
Path to the survey CSV file
Survey context (what was the survey about, who responded)
Specific focus areas (if any)
READ AND ANALYZE the CSV:
Parse all responses
Calculate rating distributions
Identify themes and patterns in open-ended responses
Categorize feedback by topic
Flag common pain points and requests
Detect sentiment trends
GENERATE FOUR OUTPUTS:

OUTPUT 1: Executive Summary Report (Word Doc) Create a professional document with:

SECTION: Survey Overview - Number of responses - Date range - Response rate (if known) - Survey context

SECTION: Key Metrics - Average satisfaction score - Score distribution (% in each rating band) - Response completion rate

SECTION: Top Themes - 5-7 most common themes from qualitative feedback - % of respondents mentioning each theme - Representative quotes (2-3 per theme)

SECTION: Critical Insights - What's working well (positive patterns) - What needs attention (pain points) - Surprising or unexpected findings

SECTION: Sentiment Analysis - Overall sentiment (positive/neutral/negative breakdown) - Tone patterns in feedback

OUTPUT 2: Data Visualization Sheet (Excel) Create spreadsheet with:

TAB 1: Rating Distribution - Bar chart showing count of each rating (1-10) - Calculate: Mean, Median, Mode - Net Promoter Score (if 1-10 scale)

TAB 2: Theme Frequency - Table: Theme | Count | Percentage | Sample Quotes - Horizontal bar chart of theme frequency

TAB 3: Area Breakdown (if survey asks about business areas) - Count by category (Content, Lead Gen, Operations, etc.) - Pie chart showing distribution

TAB 4: Word Cloud Data - Top 50 most frequent words from open responses - Frequency count for each word - Exclude common stop words

OUTPUT 3: Key Findings Document (PDF) Create a scannable, visual 1-pager with:

TOP SECTION: At A Glance - Big number: Average Score - Big number: Total Responses - Big number: % Would Recommend

FINDINGS (Bullet format): ✓ What We're Doing Right (3 bullets) ⚠ Areas for Improvement (3 bullets) 💡 Opportunities Identified (3 bullets)

QUOTES CALLOUT: - 2-3 powerful direct quotes in highlighted boxes

OUTPUT 4: Action Plan Presentation (PowerPoint) Create 8-10 slide deck:

Slide 1: Title - Survey Results & Recommendations - Date, # Responses

Slide 2: Executive Summary - Key numbers, overall takeaway

Slide 3: Satisfaction Overview - Rating distribution chart - Trend vs previous surveys (if applicable)

Slide 4-6: Top Themes (1 slide per theme) - Theme name - % mentioned - 2-3 supporting quotes - Visual icon/graphic

Slide 7: What to Stop/Start/Continue - Based on feedback patterns

Slide 8: Priority Recommendations - Top 5 action items - Each with: What, Why, Expected Impact

Slide 9: Implementation Roadmap - Timeline: Quick wins (30 days), Medium-term (90 days), Long-term (6+ months)

Slide 10: Next Steps - Who owns what - Follow-up survey date

ANALYSIS BEST PRACTICES:
Look for patterns across multiple responses
Weight feedback by rating (lower ratings = more urgent)
Identify contradictions or tensions
Connect qualitative comments to quantitative scores
Be specific with recommendations (actionable, not vague)
Include cost/effort estimates for recommendations when possible
FORMAT REQUIREMENTS:
Professional business formatting
Use tables, charts, and visual hierarchy
Include response excerpts to support claims
Maintain confidentiality (use first names only or anonymize)
All outputs should reference the source data date

The Skill should confirm file path is correct before reading, and provide helpful errors if CSV structure is unexpected.