SuperAPI AI Directory

personal-material-search

Writing & research

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Updated 10-16 10:52

About this skill

Personal material library search

When to use this Skill

Use this skill when the user has any of the following needs:

  • Needs "real experiences", "personal cases", "practical experience"
  • Wants content to be "well-founded", "more credible", "more authentic"
  • Mentions "material library", "find examples", "find cases"
  • Wants to "increase persuasiveness", "be more persuasive"
  • Needs specific data or supporting materials

Core objective

Quickly find relevant real experiences and cases from the personal material library, provide reliable factual support for content creation, and significantly improve the authenticity and credibility of the content.

Execution process

Step 1: Understand the search need

Objective: Clarify what type of material the user needs

Need analysis:

  1. Topic keyword extraction

    • Extract core concepts and keywords
    • Identify the industry field and professional direction
    • Analyze user intent (cases/data/opinions)
  2. Material type determination

    • 📊 Data-type material: Specific numbers, percentages, statistical information
    • 📖 Case-type material: Complete stories, project experiences, success cases
    • 💡 Opinion-type material: Personal insights, industry analysis, trend judgments
    • 🔍 Detail-type material: Specific operations, tool usage, process descriptions
  3. Application scenario determination

    • Argue a point - needs strong case support
    • Enrich content - needs specific detailed descriptions
    • Increase credibility - needs real data and experiences
    • Provide value - needs practical experience and suggestions

Step 2: Build a search strategy

Objective: Design efficient search keyword combinations

Search strategy:

  1. Core keywords

    • Use topic words directly: such as "product management", "user experience"
    • Use synonyms: such as "PM", "UX design" as substitutes
    • Use English words: such as "AI", "SaaS", "KOL"
  2. Combined keywords

    • Topic + action: such as "product management" + "experience"
    • Topic + result: such as "entrepreneurship" + "success cases"
    • Topic + tool: such as "data analysis" + "Excel"
  3. Expanded search

    • Related fields: such as "marketing" related to "growth hacking"
    • Upstream and downstream concepts: such as "development" related to "testing"
    • Same-industry experience: such as "internet" related to "e-commerce"

Step 3: Execute material search

Objective: Find the most matching content in the material library

Search execution:

  1. CSV database search

    • Use the Grep tool to search in the material library file
    • Supports fuzzy matching and exact matching
    • Search fields such as title, content, and tags
  2. Match Assessment

    • Exact match (90-100%): The topic is completely consistent
    • High match (70-89%): The topic is highly relevant
    • Partial match (50-69%): Has some reference value
    • Low match (30-49%): For supplementary reference only
  3. Handling Multiple Results

    • Prioritize selecting the 3-5 items with the highest match
    • Display in order of relevance
    • Label the type and applicable scenario of each material

Step 4: Material Organization and Rewriting

Objective: Adapt the found materials to the current content

Organization Principles:

  1. De-identification

    • Remove specific company names
    • Conceal real personal names
    • Obscure specific times and locations
  2. Language Style Adaptation

    • Adjust the tone to match the article's style
    • Maintain objectivity and avoid subjective assumptions
    • Use a consistent way of expression
  3. Content Structure Optimization

    • Extract core viewpoints and data
    • Simplify lengthy descriptions
    • Highlight key information and value

Step 5: Provide Usage Suggestions

Objective: Guide users on how to effectively use these materials

Usage Suggestions:

  1. Insertion Position Suggestions

    • Use as support after arguing a viewpoint
    • Use as a case in the example explanation section
    • Use as evidence in the data analysis section
  2. Expression Method Suggestions

    • Direct quotation: Preserve the original meaning
    • Summary quotation: Extract the core points
    • Contrastive quotation: Form an echo with the viewpoint
  3. Value Point Emphasis

    • Label the credibility level of the material
    • Point out the most persuasive points
    • Suggest how to further strengthen the effect

Material Library Structure

Database Fields

  • ID: Unique identifier
  • title: Material title
  • content: Detailed content description
  • type: Material type (case/data/opinion/detail)
  • category: Category tags
  • date: Record time
  • reliability: Credibility rating (1-5 points)
  • usage_count: Usage count
  • notes: Remarks

Classification System

  1. Professional Experience: Work, projects, management experience
  2. Entrepreneurial Experience: Entrepreneurial process, business model, financing experience
  3. Technical Practice: Programming, product design, data analysis
  4. Marketing Operations: Marketing, promotion, user growth
  5. Personal Growth: Learning, thinking, life insights

Quality Standards

  • Material match >= 70%
  • Content authenticity has been verified
  • The language is fluent and natural after processing
  • Provide specific usage suggestions

Special Handling

1. No matching material found

Handling Strategy:

  • Expand the search scope to related fields
  • Provide alternative materials with similar concepts
  • Suggest that the user supplement relevant information

2. Material is too sensitive

Handling strategy:

  • Carry out sufficient information anonymization
  • Retain the core experience but conceal specific details
  • Provide generalized expressions

3. Materials need to be updated

Handling strategy:

  • Mark time information to remind of timeliness
  • It is recommended to supplement in light of the latest situation
  • Provide the value of historical comparison

Notes

  • Protect private information and anonymize it appropriately
  • Ensure the timeliness and accuracy of the materials
  • Remain objective and neutral, and avoid excessive dramatization
  • Provide material choices from multiple perspectives

Last updated: 2024