AgentSkillsCN

conversation-analyzer

分析AI对话导出，识别重复模式并生成自定义Claude技能。在分析对话数据、识别工作流模式或从使用历史中创建可重用AI技能时使用。

SKILL.md
--- frontmatter
name: conversation-analyzer
description: Analyzes AI conversation exports to identify recurring patterns and generate custom Claude Skills. Use when analyzing conversation data, identifying workflow patterns, or creating reusable AI skills from usage history.

Conversation Analyzer

Instructions

This skill provides specialized capability for analyzing AI conversation exports (Claude, ChatGPT) to identify recurring patterns and generate reusable Custom Skills.

  1. •

    Data Processing & Pattern Discovery

    • •Auto-detect platform format (Claude vs ChatGPT exports)
    • •Parse conversation histories, project data, and user information
    • •Extract expertise indicators and usage patterns
    • •Categorize patterns by domain (coding, writing, business, analysis)
    • •Identify task types (creation, transformation, analysis, troubleshooting)
  2. •

    Frequency & Temporal Analysis

    • •Count pattern occurrences across conversation history
    • •Calculate temporal distribution and frequency trends
    • •Cross-reference with project data for validation
    • •Assess business impact and time investment patterns
  3. •

    Skill-Worthiness Evaluation (0-10 scale scoring):

    • •Frequency: How often does this task occur?
    • •Consistency: How similar are requirements each time?
    • •Complexity: Would a skill meaningfully improve quality?
    • •Time savings: How much effort would a skill save?
    • •Error reduction: Common pitfalls a skill could prevent?
  4. •

    Cross-Platform Deduplication (when both platforms present):

    • •Detect semantic similarity across platforms
    • •Identify cross-platform workflows vs genuine duplicates
    • •Merge evidence while preserving platform preferences
    • •Recalculate frequencies after deduplication
  5. •

    Skill Generation & Optimization

    • •Create prioritization matrix (frequency vs. value/impact)
    • •Resolve overlaps and optimize skill boundaries
    • •Generate complete skill packages with YAML frontmatter
    • •Provide implementation roadmap and testing guidance

Quality Standards

  • •Focus on patterns with >5% conversation frequency
  • •Require 70%+ consistency across pattern instances
  • •Target >30 min/week time savings potential
  • •Maximum 12 skills total (recommend prioritizing top 5-8)
  • •Platform-agnostic skill design
  • •Evidence-based recommendations with conversation excerpts

Examples

Analyzing Claude Export

User Request: "Analyze my Claude conversations to find skill opportunities"

Response:

code
I'll analyze your Claude conversation export to identify recurring patterns. Let me:

1. Parse your conversations.json and projects.json files
2. Identify frequent task patterns across your usage
3. Evaluate each pattern for skill-worthiness
4. Generate prioritized recommendations for Custom Skills

Please ensure your export files are in data-exports/claude/ directory.

Cross-Platform Analysis

User Request: "I have both Claude and ChatGPT exports - analyze them together"

Response:

code
I'll perform cross-platform analysis to identify your workflow patterns:

1. Process both Claude and ChatGPT conversation data
2. Detect and handle cross-platform duplicates
3. Identify platform preferences for different task types
4. Create unified skills that work across AI platforms
5. Provide platform-agnostic skill recommendations

This will give you the most accurate picture of your AI usage patterns.