Agent skill

moai-change-logger

Comprehensive change tracking and audit logging system that monitors file modifications, code changes, and project evolution. Use when tracking project history, maintaining audit trails, analyzing development patterns, or when detailed change documentation is required for compliance and team collaboration.. Enhanced with Context7 MCP for up-to-date documentation.

Stars 4
Forks 0

Install this agent skill to your Project

npx add-skill https://github.com/AJBcoding/claude-skill-eval/tree/main/skills/moai-change-logger

SKILL.md

moai-change-logger

Change Logger

Primary Agent: alfred
Secondary Agents: none
Version: 4.0.0
Keywords: change, logger, auth, test, git


📖 Progressive Disclosure

Level 1: Quick Reference (Core Concepts)

What It Does

Advanced change tracking and audit logging system that monitors all file modifications, code changes, and project evolution. Provides comprehensive audit trails, change analytics, and project insights for team collaboration and compliance requirements.

Core capabilities:

  • ✅ Real-time file change monitoring and logging
  • ✅ Git integration for commit and branch tracking
  • ✅ Change significance assessment and categorization
  • ✅ Developer activity tracking and productivity metrics
  • ✅ Project evolution analysis and trend identification
  • ✅ Audit trail generation for compliance requirements
  • ✅ Change impact analysis and dependency tracking
  • ✅ Automated change reports and summaries


Level 2: Practical Implementation (Common Patterns)

When to Use

  • ✅ When tracking project history and evolution
  • ✅ During code reviews and change analysis
  • ✅ For compliance audit and documentation requirements
  • ✅ When analyzing team productivity and patterns
  • ✅ Before major releases or deployments
  • ✅ When investigating issues or regressions
  • ✅ For project retrospectives and improvement planning


Change Monitoring Systems

1. File-Level Monitoring

python
def monitor_file_changes():
    """Track individual file modifications"""
    changes = {
        "timestamp": datetime.now().isoformat(),
        "files_modified": [],
        "files_created": [],
        "files_deleted": [],
        "significance_score": 0.0,
        "categories": []
    }

    # Monitor file system changes
    for file_path in get_modified_files():
        change = {
            "path": file_path,
            "type": "modified",
            "size_delta": calculate_size_change(file_path),
            "lines_added": count_added_lines(file_path),
            "lines_removed": count_removed_lines(file_path),
            "significance": assess_file_significance(file_path)
        }
        changes["files_modified"].append(change)

    return changes

2. Git Integration

python
def track_git_activity():
    """Monitor Git repository activity"""
    git_activity = {
        "current_branch": get_current_branch(),
        "last_commit": get_last_commit_info(),
        "uncommitted_changes": get_git_status(),
        "branch_history": get_recent_commits(limit=10),
        "merge_activity": track_merge_activity(),
        "tag_activity": track_tag_releases()
    }

    return git_activity

3. Developer Activity Tracking

python
def track_developer_activity():
    """Monitor developer productivity patterns"""
    activity = {
        "session_duration": calculate_session_duration(),
        "files_touched": count_files_touched(),
        "lines_written": count_lines_written(),
        "tools_used": track_tool_usage(),
        "commands_executed": track_command_history(),
        "productivity_score": calculate_productivity_score()
    }

    return activity


Change Analytics

1. Development Patterns

python
def analyze_development_patterns():
    """Analyze team development patterns"""
    patterns = {
        "peak_development_hours": find_peak_activity_hours(),
        "most_active_days": find_most_active_days(),
        "change_frequency": calculate_change_frequency(),
        "batch_size_distribution": analyze_commit_sizes(),
        "file_type_distribution": analyze_file_type_changes(),
        "collaboration_patterns": analyze_collaboration_patterns()
    }

    return patterns

2. Productivity Metrics

python
def calculate_productivity_metrics():
    """Calculate team and individual productivity metrics"""
    metrics = {
        "code_velocity": calculate_code_velocity(),
        "change_success_rate": calculate_change_success_rate(),
        "rework_percentage": calculate_rework_percentage(),
        "test_to_code_ratio": calculate_test_coverage_ratio(),
        "documentation_to_code_ratio": calculate_documentation_ratio(),
        "bug_fix_time": calculate_bug_fix_time()
    }

    return metrics

3. Quality Indicators

python
def assess_code_quality_trends():
    """Assess code quality trends over time"""
    quality_trends = {
        "code_complexity": track_complexity_changes(),
        "technical_debt": track_technical_debt(),
        "test_coverage": track_test_coverage_changes(),
        "code_duplication": track_duplication_changes(),
        "security_vulnerabilities": track_security_issues(),
        "performance_trends": track_performance_changes()
    }

    return quality_trends


Integration Examples

Example 1: Real-Time Change Monitoring

python
def monitor_project_changes():
    """Real-time monitoring of project changes"""
    while monitoring_active:
        changes = detect_recent_changes()

        if changes:
            Skill("moai-change-logger")

            for change in changes:
                significance, factors = assess_change_significance(change.path, change)
                category = determine_change_category(change)

                log_change({
                    "timestamp": change.timestamp,
                    "file": change.path,
                    "type": change.type,
                    "significance": significance,
                    "category": category,
                    "factors": factors
                })

                # Notify for significant changes
                if significance > 0.7:
                    notify_significant_change(change, category)

        sleep(60)  # Check every minute

Example 2: Pre-Commit Change Analysis

python
def analyze_commit_changes():
    """Analyze changes before commit"""
    staged_changes = get_staged_changes()

    Skill("moai-change-logger")

    analysis = {
        "total_files": len(staged_changes),
        "categories": categorize_changes(staged_changes),
        "impact": analyze_change_impact(staged_changes),
        "quality_checks": run_quality_checks(staged_changes),
        "recommendations": generate_commit_recommendations(staged_changes)
    }

    display_commit_analysis(analysis)

    return analysis

Example 3: Release Change Summary

python
def generate_release_summary():
    """Generate comprehensive release change summary"""
    Skill("moai-change-logger")

    # Get changes since last release
    changes = get_changes_since_last_release()

    summary = {
        "release_version": get_next_version(),
        "changes_count": len(changes),
        "categories": categorize_changes(changes),
        "significance_distribution": analyze_significance_distribution(changes),
        "contributors": identify_contributors(changes),
        "risk_assessment": assess_release_risks(changes),
        "testing_coverage": assess_testing_coverage(changes),
        "documentation_updates": check_documentation_updates(changes)
    }

    generate_release_notes(summary)
    save_change_archive(summary)

    return summary


Storage and Retrieval

1. Change Storage Format

python
def store_change_record(change_record):
    """Store change record in structured format"""
    change_data = {
        "id": generate_change_id(),
        "timestamp": change_record.timestamp,
        "file_path": change_record.file_path,
        "change_type": change_record.type,
        "significance": change_record.significance,
        "category": change_record.category,
        "author": change_record.author,
        "commit_hash": change_record.commit_hash,
        "metadata": {
            "lines_added": change_record.lines_added,
            "lines_removed": change_record.lines_removed,
            "file_size_delta": change_record.size_delta,
            "tags": change_record.tags
        }
    }

    # Store in change log database
    save_to_change_log(change_data)

    # Update indexes
    update_search_indexes(change_data)
    update_category_indexes(change_data)

2. Change Retrieval

python
def query_changes(query_params):
    """Query changes based on various criteria"""
    filters = []

    if query_params.get("date_range"):
        filters.append(date_range_filter(query_params["date_range"]))

    if query_params.get("categories"):
        filters.append(category_filter(query_params["categories"]))

    if query_params.get("significance_threshold"):
        filters.append(significance_filter(query_params["significance_threshold"]))

    if query_params.get("file_pattern"):
        filters.append(file_pattern_filter(query_params["file_pattern"]))

    if query_params.get("author"):
        filters.append(author_filter(query_params["author"]))

    results = apply_filters(filters)
    return sort_results(results, query_params.get("sort_by", "timestamp"))


Usage Examples

Example 1: Track Specific File Changes

python
# User wants to track changes to authentication system
Skill("moai-change-logger")

auth_changes = query_changes({
    "file_pattern": "*auth*",
    "date_range": "last_7_days",
    "categories": ["feature_development", "security", "bug_fixes"]
})

# Display authentication system evolution
display_change_timeline(auth_changes)

Example 2: Compliance Audit

python
# Generate compliance audit for last month
Skill("moai-change-logger")

compliance_report = generate_compliance_report()
audit_trail = generate_audit_log("monthly")

# Check for compliance issues
issues = identify_compliance_issues(compliance_report, audit_trail)

if issues:
    display_compliance_alerts(issues)
else:
    display_compliance_status("compliant")

Example 3: Project Health Analysis

python
# Analyze project health based on recent changes
Skill("moai-change-logger")

recent_changes = get_changes_for_period("last_30_days")
health_analysis = {
    "code_quality": assess_code_quality_trends(recent_changes),
    "development_velocity": calculate_velocity_trends(recent_changes),
    "risk_indicators": identify_risk_patterns(recent_changes),
    "team_productivity": assess_productivity_patterns(recent_changes)
}

display_project_health_dashboard(health_analysis)

End of Skill | Comprehensive change tracking for audit, analysis, and project management


Level 3: Advanced Patterns (Expert Reference)

Note: Advanced patterns for complex scenarios.

Coming soon: Deep dive into expert-level usage.


🎯 Best Practices Checklist

Must-Have:

  • ✅ [Critical practice 1]
  • ✅ [Critical practice 2]

Recommended:

  • ✅ [Recommended practice 1]
  • ✅ [Recommended practice 2]

Security:

  • 🔒 [Security practice 1]

🔗 Context7 MCP Integration

When to Use Context7 for This Skill:

This skill benefits from Context7 when:

  • Working with [change]
  • Need latest documentation
  • Verifying technical details

Example Usage:

python
# Fetch latest documentation
from moai_adk.integrations import Context7Helper

helper = Context7Helper()
docs = await helper.get_docs(
    library_id="/org/library",
    topic="change",
    tokens=5000
)

Relevant Libraries:

Library Context7 ID Use Case
[Library 1] /org/lib1 [When to use]

📊 Decision Tree

When to use moai-change-logger:

Start
  ├─ Need change?
  │   ├─ YES → Use this skill
  │   └─ NO → Consider alternatives
  └─ Complex scenario?
      ├─ YES → See Level 3
      └─ NO → Start with Level 1

🔄 Integration with Other Skills

Prerequisite Skills:

  • Skill("prerequisite-1") – [Why needed]

Complementary Skills:

  • Skill("complementary-1") – [How they work together]

Next Steps:

  • Skill("next-step-1") – [When to use after this]

📚 Official References

Primary Documentation:

Best Practices:


📈 Version History

v4.0.0 (2025-11-12)

  • ✨ Context7 MCP integration
  • ✨ Progressive Disclosure structure
  • ✨ 10+ code examples
  • ✨ Primary/secondary agents defined
  • ✨ Best practices checklist
  • ✨ Decision tree
  • ✨ Official references

Generated with: MoAI-ADK Skill Factory v4.0
Last Updated: 2025-11-12
Maintained by: Primary Agent (alfred)

Expand your agent's capabilities with these related and highly-rated skills.

AJBcoding/claude-skill-eval

mcp-builder

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

4 0
Explore
AJBcoding/claude-skill-eval

performing-systematic-debugging-for-stubborn-problems

Applies a modified Fagan Inspection methodology to systematically resolve persistent bugs and complex issues. Use when multiple previous fix attempts have failed repeatedly, when dealing with intricate system interactions, or when a methodical root cause analysis is needed. Do not use for simple troubleshooting. Triggers after multiple failed debugging attempts on the same complex issue.

4 0
Explore
AJBcoding/claude-skill-eval

creating-development-plans

Creates structured development plans with phased task breakdowns, requirements, and QA checklists. Use when the user explicitly asks to create a dev plan, development plan, or document development requirements.

4 0
Explore
AJBcoding/claude-skill-eval

writing-documentation-with-diataxis

Applies the Diataxis framework to create or improve technical documentation. Use when being asked to write high quality tutorials, how-to guides, reference docs, or explanations, when reviewing documentation quality, or when deciding what type of documentation to create. Helps identify documentation types using the action/cognition and acquisition/application dimensions.

4 0
Explore
AJBcoding/claude-skill-eval

shell-scripting

Practical bash scripting guidance emphasising defensive programming, ShellCheck compliance, and simplicity. Use when writing shell scripts that need to be reliable and maintainable.

4 0
Explore
AJBcoding/claude-skill-eval

ia-presenter-themes

This skill should be used when creating, modifying, or troubleshooting custom themes for iA Presenter.

4 0
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results