retrospecting

name	retrospecting
description	Performs comprehensive analysis of Claude Code sessions, examining git history, conversation logs, code changes, and gathering user feedback to generate actionable retrospective reports with insights for continuous improvement.

Session Retrospective Skill

Auto-Loaded Context

Session Analytics: contexts/session-analytics.md - Provides comprehensive framework for analyzing sessions, including data sources, metrics, and analysis methods.

Retrospective Templates: templates/retrospective-templates.md - Standardized report templates for different retrospective depths.

Core Responsibilities

1. Multi-Source Data Collection

Systematically gather data from all available sources:

• Git History: Commits, diffs, file changes during session timeframe
• Claude Logs: Conversation transcripts, tool usage, decision patterns
• Project Files: Test coverage, code quality, compilation status
• User Feedback: Direct input about goals, satisfaction, pain points
• Sub-agent Interactions: When sub-agents were used, gather their feedback

2. Quantitative Analysis

Calculate measurable metrics:

• Session scope (duration, tasks completed, files changed)
• Quality indicators (compilation rate, test coverage, standard compliance)
• Efficiency metrics (tool success rate, rework rate, completion rate)
• User experience data (satisfaction, friction points)

3. Qualitative Assessment

Identify patterns and insights:

• Successful approaches that led to good outcomes
• Problematic patterns that caused issues or delays
• Reusable solutions worth extracting for future use
• Context-specific learnings applicable to this project type

4. Report Generation

Create structured retrospective report using appropriate template:

• Quick Retrospective: Brief session wrap-ups (5-10 minutes)
• Comprehensive Retrospective: Detailed analysis for significant sessions
• Choose template based on session complexity and user needs

Working Process

Step 0: Quick Session Assessment

Before gathering data, determine the appropriate analysis depth:

1. Check session size:

   # Count recent commits
   git log --oneline --since="1 hour ago" | wc -l
   
   # List session log files with metadata
   ${CLAUDE_PROJECT_DIR}/.claude/skills/extracting-session-data/scripts/list-sessions.sh --sort date | head -5
   

2. Suggest depth to user based on metrics:

   • Quick (<10 commits, <5MB logs): "5-10 min lightweight analysis"
   • Standard (10-25 commits, 5-20MB logs): "15-20 min balanced analysis"
   • Comprehensive (>25 commits, >20MB logs): "30+ min deep-dive analysis"

3. Let user override: "Based on [X commits, Y MB logs], I recommend a [MODE] retrospective (~Z minutes). Does this work for you, or would you prefer a different depth?"

4. Early exit clause: If user says "just a quick summary" or "high-level overview", automatically use Quick mode regardless of session size.

Step 1: Establish Session Scope

1. Ask user to define session boundaries (time range or commit range)
2. Clarify session goals: "What were you trying to accomplish?"
3. Confirm retrospective depth from Step 0

Step 2: Gather Data

Execute data collection based on confirmed depth mode:

Depth-Specific Data Collection

Quick Mode:

• Git: git diff <start>..<end> --stat only (no full diffs)
• Logs: Extract statistics and errors only via extracting-session-data skill
• Files: Check compilation status only
• User: 2-3 targeted questions
• Skip: Sub-agent feedback, detailed file analysis

Standard Mode:

• Git: Full commit history + stats, selective diffs for key files
• Logs: Extract metadata, statistics, tool-usage, and errors via extracting-session-data skill
• Files: Quality metrics for changed files
• User: 5-7 questions covering main areas
• Include: Sub-agent feedback if applicable

Comprehensive Mode:

• Git: Everything (full logs, diffs, file analysis)
• Logs: Extract all data types via extracting-session-data skill, may read full logs if <500 lines
• Files: Deep analysis including tests, architecture compliance
• User: Extensive feedback (8-10 questions)
• Include: All sub-agent feedback, pattern extraction

Git Analysis

Use the analyzing-git-sessions skill to collect git data:

Quick Mode: Request "concise" output (stats only, no diffs) Standard Mode: Request "detailed" output for key files Comprehensive Mode: Request "code review" format for full analysis

Invoke skill with session timeframe:

Skill: analyzing-git-sessions
Input: "<start-time> to <end-time>" or "<start-commit>..<end-commit>"
Depth: [concise|detailed|code-review] based on retrospective mode

The skill will return structured git metrics needed for retrospective analysis.

Log Processing (Size-Aware)

Use the extracting-session-data skill to access Claude Code native session logs efficiently.

1. List Available Sessions:

   # List all sessions with metadata (size, lines, date, branch)
   ${CLAUDE_PROJECT_DIR}/.claude/skills/extracting-session-data/scripts/list-sessions.sh
   

2. Check Session Size:

   # Get statistics for specific session
   ${CLAUDE_PROJECT_DIR}/.claude/skills/extracting-session-data/scripts/extract-data.sh \
       --type statistics --session SESSION_ID
   

3. Extract Data Based on Session Size and Mode:

   Quick Mode (or any session >2000 lines):

   # Extract only statistics and errors
   extract-data.sh --type statistics --session SESSION_ID
   extract-data.sh --type errors --session SESSION_ID --limit 10
   

   Standard Mode (sessions 500-2000 lines):

   # Extract metadata, statistics, tool usage, and errors
   extract-data.sh --type metadata --session SESSION_ID
   extract-data.sh --type statistics --session SESSION_ID
   extract-data.sh --type tool-usage --session SESSION_ID
   extract-data.sh --type errors --session SESSION_ID
   

   Comprehensive Mode (sessions <500 lines):

   # Extract all available data
   extract-data.sh --type all --session SESSION_ID
   
   # Or read full log file if needed for detailed analysis
   # (Only for small sessions - check line count first!)
   

4. Multi-Session Analysis:

   # Filter sessions by criteria
   filter-sessions.sh --since "7 days ago" --branch main
   
   # Extract data from all filtered sessions (omit --session flag)
   extract-data.sh --type statistics  
   

Path Calculation: The extracting-session-data skill handles all path calculations automatically. Session logs are stored in ~/.claude/projects/{project-identifier}/ where the identifier is derived from the working directory path.

Project Analysis

Examine changed files, tests, documentation (depth-appropriate)

User Feedback

Prompt for direct feedback on session experience (question count based on depth mode)

Sub-agent Feedback

If sub-agents were used, invoke them to gather their perspective (Standard/Comprehensive modes only)

Step 3: Analyze Data

Apply session-analytics.md framework:

• Calculate quantitative metrics
• Identify success and problem indicators
• Extract patterns (successful approaches and anti-patterns)
• Assess communication effectiveness and technical quality

Step 4: Generate Insights

Synthesize analysis into actionable insights:

• What went well and why (specific evidence)
• What caused problems and their root causes
• Opportunities for improvement (prioritized by impact)
• Patterns to replicate or avoid in future sessions

Step 5: Create Report

Use appropriate template from retrospective-templates.md:

• Structure findings clearly with evidence
• Include specific file:line references where relevant
• Prioritize recommendations by impact and feasibility
• Make all suggestions actionable and specific

Step 6: Gather User Validation

Present report and ask:

• Does this match your experience?
• Are there other pain points we missed?
• Which improvements would be most valuable to you?

Step 7: Suggest Configuration Improvements

If the retrospective identifies areas for improvement in Claude or Agent interactions:

1. Analyze whether improvements could be codified in configuration files:
   • CLAUDE.md: Core directives, workflow practices, communication patterns
   • SKILL.md files: Skill-specific instructions, working processes, anti-patterns
   • Agent definition files: Agent prompts, tool usage, coordination patterns
2. Draft specific, actionable suggestions for configuration updates:
   • Quote the current text that should be modified (if updating existing content)
   • Provide the proposed new or additional text
   • Explain the rationale based on retrospective findings
3. Present suggestions to the user:
   • "Based on this retrospective, I've identified potential improvements to [file]. Would you like me to implement these changes?"
   • Show the specific changes that would be made
4. If the user approves:
   • Apply the changes using the Edit tool
   • Confirm what was updated
5. If the user declines:
   • Document the suggestions in the retrospective report for future consideration

Step 8: Session Archive Information

After the retrospective report is created and validated:

1. Inform the user where session logs are stored:
   • "Session logs are permanently stored in ~/.claude/projects/{project-dir}/{session-id}.jsonl"
   • "These logs are managed by Claude Code and should not be deleted manually"
2. Explain that retrospective reports are saved separately in:
   • ${CLAUDE_PROJECT_DIR}/.claude/skills/retrospecting/reports/
3. Note that Claude Code manages session log retention automatically

Output Standards

Report Quality Requirements

• Evidence-Based: Every claim backed by specific examples
• Actionable: All recommendations include implementation guidance
• Specific: Avoid vague statements; use concrete examples
• Prioritized: Clear indication of high vs low impact items
• Balanced: Acknowledge successes while identifying improvements

File References

Use file:line_number format when referencing specific code locations.

Metrics Presentation

Present metrics in clear tables or lists with context for interpretation.

Recommendations Format

Each recommendation should include:

• What: Specific action to take
• Why: Root cause or rationale
• How: Implementation approach
• Impact: Expected benefit

Integration with Sub-agents

When sub-agents were used during the session:

Feedback Collection

Invoke each sub-agent that participated with prompts like:

• "What aspects of this session worked well for you?"
• "What instructions or context were unclear?"
• "What tools or capabilities did you need but lack?"
• "How could coordination with Claude be improved?"

Synthesis

Incorporate sub-agent feedback into retrospective:

• Identify coordination issues or handoff problems
• Note gaps in instruction clarity or context
• Recognize successful collaboration patterns
• Recommend improvements to sub-agent usage

Context Budget Management

Monitor context usage throughout retrospective to prevent overflow:

Budget Thresholds

• Skill instructions: ~6-8K tokens (this file + auto-loaded contexts)
• Small log file: 2-5K tokens per file
• Large log file: 10-50K+ tokens if read fully
• Git diffs: 5-20K tokens for large changes
• User conversation: Variable (2-10K tokens)

Adaptive Strategy Based on Remaining Budget

High Budget (>100K tokens remaining):

• Safe to use Comprehensive mode
• Read full logs if <2000 lines
• Include full git diffs
• Load detailed metrics from session-analytics.md if needed

Medium Budget (50-100K tokens remaining):

• Use Standard mode by default
• Summarize logs before reading (use bash extraction)
• Selective git diffs for key files only
• Skip extended context loading

Low Budget (<50K tokens remaining):

• Force Quick mode regardless of session size
• Bash-only log summarization (no full reads)
• Git stats only, no diffs
• Warn user: "Limited context available - providing focused analysis on key areas only"

Context Preservation Tactics

1. Extract and discard: Pull key metrics from large files, discard verbose source immediately
2. Synthesize early: Create compact summaries (max 200 lines) before continuing
3. Progressive refinement: Start high-level, drill down only where user indicates interest
4. Spot sampling: Read representative sections rather than entire files

Emergency Fallback

If approaching context limit during analysis:

1. Stop data collection immediately
2. Generate report from data gathered so far
3. Note in report: "Analysis limited by context constraints - [specific areas not covered]"
4. Offer to do targeted follow-up on specific aspects in new conversation

Anti-Patterns to Avoid

Don't:

• Generate retrospectives without gathering actual data
• Make vague, non-actionable recommendations
• Focus only on negatives; acknowledge what worked well
• Ignore user's stated priorities and goals
• Create overly long reports that bury key insights
• Analyze sessions without understanding the context and goals

Do:

• Ground analysis in concrete evidence from session data
• Provide specific, actionable recommendations with implementation guidance
• Balance positive recognition with improvement opportunities
• Align recommendations with user's priorities
• Create concise reports that highlight key insights prominently
• Understand session context before analyzing effectiveness

Cross-Plugin Enrichment

When sibling Bitwarden plugins are installed, retrospectives gain specialist analysis:

Security-Aware Retrospectives (bitwarden-security-engineer plugin)

After collecting git diffs from the session:

• Scan for committed credentials → activate Skill(detecting-secrets) against the session's git diffs to warn if secrets were inadvertently committed
• Assess security posture of new code → if the session introduced auth, crypto, or input-handling code, activate Skill(analyzing-code-security) to flag potential vulnerabilities in the retrospective report

Quality Classification (bitwarden-code-review plugin)

• Classify session changes by impact → activate Skill(classifying-review-findings) to categorize the session's changes using the CRITICAL/IMPORTANT/DEBT/SUGGESTED framework, giving users a clear picture of what needs attention

These skills are optional. If unavailable, proceed with standard retrospective analysis.

Success Criteria

A good retrospective should:

1. Inform: User learns something new about their workflow
2. Guide: Clear next steps for improvement
3. Motivate: Recognition of successes encourages continued good practices
4. Focus: Prioritization helps user know where to invest effort
5. Enable: Provides frameworks/patterns user can apply to future sessions

Report Storage

Directory: ${CLAUDE_PROJECT_DIR}/.claude/skills/retrospecting/reports/

Filename format: YYYY-MM-DD-session-description-SESSION_ID.md

• Use ISO date format (YYYY-MM-DD) for chronological sorting
• Keep description brief (3-5 words, hyphen-separated)
• Include session ID from log files for traceability

Example path: ${CLAUDE_PROJECT_DIR}/.claude/skills/retrospecting/reports/2025-10-23-authentication-refactor-3be2bbaf.md