recovering-sessions

name	recovering-sessions
description	Recover from crashed, failed, or interrupted Claude Code sessions. Use this skill when: session crashed during multi-agent parallel execution, need to determine what work was completed vs incomplete, want to generate resumption commands for interrupted tasks, recovering from context window exhaustion, or handling session handoffs. Analyzes agent logs, verifies on-disk state, and creates resumption plans with ready-to-execute Task() commands.
context	fork
agent	Explore

Session Recovery Skill

Recover from crashed, failed, or interrupted Claude Code sessions with automated analysis and resumption planning.

Why This Skill

Claude Code sessions can crash during complex multi-agent operations. Recovery without this skill is:

• Manual: Requires parsing agent logs by hand
• Error-prone: Easy to miss completed or incomplete work
• Time-consuming: Ad-hoc investigation for each crash
• Undocumented: Knowledge lost between sessions

This skill provides standardized recovery workflows that:

• Discover and analyze agent conversation logs
• Verify on-disk state matches expected deliverables
• Generate recovery reports with clear status per task
• Create ready-to-execute Task() resumption commands
• Document prevention patterns to avoid future crashes

When to Use

Scenario	Action
Session crashed during parallel execution	Full recovery workflow
User reports interrupted work	Analyze recent agent logs
Need to determine completed vs incomplete	Status assessment
Generate resumption commands	Resumption plan
Session handoff to continue later	Handoff summary
Proactive health check	Scan for incomplete work

Quick Start

Post-Crash Recovery

User: "Claude crashed while I had multiple agents running. Help me recover."

1. Identify project log directory
2. Discover recent agent logs (last 3 hours)
3. Analyze each log in parallel (haiku subagents)
4. Cross-reference with git status
5. Generate recovery report
6. Offer to commit completed work
7. Provide resumption commands for incomplete tasks

Session Handoff

User: "I need to hand off this session to continue later."

1. Identify active/recent work
2. Capture current git state
3. Document in-progress tasks
4. Update progress tracking with session notes
5. Generate handoff summary with resumption instructions

Proactive Health Check

User: "Check if any recent agent work was incomplete."

1. Scan recent agent logs (last 24 hours)
2. Identify logs without clear completion markers
3. Check if corresponding files exist
4. Report any gaps or incomplete work
5. Suggest remediation if needed

Core Workflow

Phase 1: Gather Context

1. Get project path and derive log directory:

   # Project path: /Users/name/dev/project
   # Log directory: ~/.claude/projects/-Users-name-dev-project/
   LOG_DIR="$HOME/.claude/projects/$(pwd | sed 's/\//-/g' | sed 's/^-//')"
   

2. Check git status for uncommitted changes:

   git status --short
   

3. Read implementation plan/PRD (if available) for expected deliverables

See ./techniques/discovering-agent-logs.md for detailed discovery patterns.

Phase 2: Discover Agent Logs

Find recent agent logs using multiple techniques:

Technique	Command	Use Case
By recency	find $LOG_DIR -name "agent-*.jsonl" -mmin -180	Find agents active in last 3 hours
By ID pattern	ls $LOG_DIR | grep -E "(id1|id2)"	Match known agent IDs
By size	find $LOG_DIR -name "*.jsonl" -size +10k -mtime -1	Find substantial logs
All recent	ls -lt $LOG_DIR/agent-*.jsonl | head -20	List by modification time

See ./techniques/discovering-agent-logs.md for complete reference.

Phase 3: Analyze Each Log

For each discovered log, extract:

• Files created/modified (Write/Edit tool uses)
• Test results (passed/failed counts)
• Completion status (success markers, errors)
• Last activity timestamp

Delegation Strategy (token-efficient):

# Launch parallel analyzers with haiku model
Task("codebase-explorer", {
  model: "haiku",
  prompt: "Analyze agent log at {path}. Report: task ID, status, files created, test results, errors"
})

See ./techniques/parsing-jsonl-logs.md for extraction patterns.

Phase 4: Verify On-Disk State

Cross-reference agent deliverables against filesystem:

# For each file_path extracted from logs:
if [ -f "$file_path" ]; then
    echo "VERIFIED: $file_path exists"
    stat -f "%Sm" "$file_path"  # Check modification time
else
    echo "MISSING: $file_path not found"
fi

Verification Checklist:

• All expected files exist
• Files have content (not empty)
• Modification time aligns with session
• Tests pass (if test files created)
• No syntax errors (quick lint check)

See ./techniques/verifying-on-disk-state.md for complete verification workflow.

Phase 5: Generate Recovery Report

Produce structured report with:

• Agent status summary (COMPLETE/IN_PROGRESS/FAILED/UNKNOWN)
• Completed work inventory
• Interrupted tasks with resumption commands
• Recommended next actions

See ./techniques/generating-resumption-plans.md and ./templates/recovery-report.md.

Phase 6: Execute Recovery

With user approval:

1. Commit completed work with comprehensive message
2. Update progress tracking (via artifact-tracking skill)
3. Resume interrupted tasks using generated Task() commands

Status Determination Logic

IF log contains "COMPLETE" or "successfully" in final messages → COMPLETE
ELIF log contains uncaught errors in final 10 lines → FAILED
ELIF log size > threshold AND recent modification → IN_PROGRESS (likely crashed)
ELIF log is small with no file writes → NOT_STARTED
ELSE → UNKNOWN (requires manual review)

Agent Delegation Strategy

Use haiku subagents for parallel log analysis (cheap, fast):

// Standard parallel execution (2-4 logs)
Task("codebase-explorer", { model: "haiku", prompt: "Analyze log 1..." })
Task("codebase-explorer", { model: "haiku", prompt: "Analyze log 2..." })

// Background execution (5+ logs)
const tasks = logs.map(log =>
  Task("codebase-explorer", {
    model: "haiku",
    run_in_background: true,
    prompt: `Analyze ${log.path}...`
  })
);
const results = await Promise.all(
  tasks.map(t => TaskOutput(t.id, { block: true }))
);

Recovery Report Format

# Session Recovery Report
Generated: {timestamp}
Project: {project_path}

## Agent Status Summary

| Agent ID | Task | Status | Files Created | Tests |
|----------|------|--------|---------------|-------|
| a91845a | P2-T1: MatchAnalyzer | COMPLETE | 2 | 33/33 |
| xyz1234 | P4-T3: RatingDialog | IN_PROGRESS | 1 | - |

## Completed Work
- MatchAnalyzer with 97.67% coverage
- SemanticScorer with embedding provider abstraction

## Interrupted Tasks
### P4-T3: RatingDialog
- Last known state: Component scaffolding created
- Missing: Tests, accessibility, documentation
- Resumption command:

Task("ui-engineer-enhanced", "Complete P4-T3: RatingDialog...")

## Recommended Actions
1. Commit completed work (files: {...})
2. Resume interrupted tasks with provided commands
3. Update progress tracking

See ./templates/recovery-report.md for full template.

Scripts

Node.js utilities in ./scripts/:

Script	Purpose	Usage
find-recent-agents.js	Discover agent logs	node find-recent-agents.js --minutes 180
analyze-agent-log.js	Parse single log	node analyze-agent-log.js <log-path>
generate-recovery-report.js	Create full report	node generate-recovery-report.js

All scripts use ESM imports and modern JavaScript (Node.js 20+).

Prevention Recommendations

To prevent future crashes, see ./references/prevention-patterns.md:

1. Batch Size Limits: Max 3-4 parallel agents per batch
2. Checkpointing: Update progress after each task completion
3. Session Tracking: Record agent IDs in progress files
4. Heartbeat Pattern: Emit periodic status updates
5. Sequential Critical Paths: Don't parallelize dependent tasks

Integration Points

With artifact-tracking Skill

Recovery updates progress tracking:

Task("artifact-tracker", "Update {PRD} phase {N}:
- Mark TASK-1.1 as complete (recovered)
- Mark TASK-1.2 as in_progress (interrupted)
- Add note: Recovered from session crash")

With execute-phase Command

Recovery can resume interrupted phase execution:

/dev:execute-phase {N} --resume

With Git Workflow

Recovery creates comprehensive commit:

git add {recovered_files}
git commit -m "feat: recover work from interrupted session

Completed:
- TASK-1.1: MatchAnalyzer
- TASK-1.2: SemanticScorer

Interrupted (to resume):
- TASK-1.3: RatingDialog

Recovered via session-recovery skill"

Reference Files

File	Purpose
./techniques/discovering-agent-logs.md	Log location and discovery patterns
./techniques/parsing-jsonl-logs.md	JSONL extraction techniques
./techniques/verifying-on-disk-state.md	Filesystem verification workflow
./techniques/generating-resumption-plans.md	Recovery report generation
./templates/recovery-report.md	Report template
./references/prevention-patterns.md	Crash prevention guidance
./scripts/	Node.js automation utilities

Best Practices

During Recovery

1. Don't rush - Verify state before committing
2. Use haiku - Cheap parallel log analysis
3. Verify on disk - Don't trust logs alone
4. Commit incrementally - One commit per verified task
5. Update tracking - Keep progress files current

Prevention

1. Smaller batches - 3-4 agents max per batch
2. Checkpoint often - After each task completion
3. Track agent IDs - In progress file YAML
4. Sequential dependencies - Don't parallelize dependent work
5. Background execution - Use for large batches with timeouts

Practical Lessons (2025-12-31)

Key insights from real recovery sessions:

1. File-First Verification is Faster

Problem: Complex jq/grep parsing of JSONL logs is fragile and slow.

Solution: Check if expected files exist BEFORE parsing logs in detail.

# FAST: Check file exists and has content
if [ -f "$expected_file" ] && [ -s "$expected_file" ]; then
  echo "✓ COMPLETE: $expected_file ($(wc -l < "$expected_file") lines)"
fi

2. Count Both Write AND Edit Operations

Problem: Only checking for Write misses agents that modify existing files.

Solution: Always check for both:

# Count file operations (both types)
echo "Write ops: $(grep -c '"Write"' "$LOG" 2>/dev/null || echo 0)"
echo "Edit ops: $(grep -c '"Edit"' "$LOG" 2>/dev/null || echo 0)"

Agents completing via Edit only are common (3 of 6 in one session).

3. Simple Grep Beats Complex jq

Problem: jq pipelines fail on macOS or with nested content blocks.

Solution: Use simple grep patterns that work everywhere:

# Reliable cross-platform pattern
grep -c 'Write' "$LOG"      # Count Write operations
tail -1 "$LOG" | grep -o '"type":"[^"]*"'  # Last message type

4. Log Structure Has Metadata

The JSONL format includes useful top-level fields:

{
  "agentId": "a610b3c",
  "sessionId": "758467e4-...",
  "type": "user|assistant",
  "message": { ... }
}

Use agentId for correlation with progress tracking.

5. git status is the Source of Truth

Best workflow:

1. Run git status --short first
2. New files (??) = likely agent output
3. Modified files (M) = likely edits applied
4. Cross-reference with expected deliverables
5. Only parse logs for ambiguous cases

6. macOS Command Differences

Some commands behave differently on macOS (BSD) vs Linux (GNU):

Command	macOS Issue	Workaround
stat	Different flags	Use stat -f "%Sm" on macOS
uniq -c	May need sort first	Always sort | uniq -c
sed -i	Requires backup arg	Use sed -i '' or avoid

Example Recovery Session

> My session crashed with 6 agents running. Help me recover.

1. Finding project log directory...
   LOG_DIR: ~/.claude/projects/-Users-miethe-dev-skillmeat/

2. Discovering recent agent logs (last 3 hours)...
   Found 6 agent logs

3. Analyzing logs in parallel (haiku subagents)...
   a91845a: COMPLETE - MatchAnalyzer (2 files, 33 tests)
   abec615: COMPLETE - SemanticScorer (4 files, 17 tests)
   adad508: COMPLETE - DiffViewer (3 files, 25 tests)
   xyz1234: IN_PROGRESS - RatingDialog (1 file, no tests)
   abc5678: FAILED - FormValidator (error in final lines)
   def9012: NOT_STARTED - empty log

4. Verifying on-disk state...
   All files from COMPLETE agents verified
   RatingDialog component exists but incomplete

5. Generating recovery report...
   [See ./templates/recovery-report.md]

6. Ready to commit completed work?
   Files: [list of 9 files]

7. Resumption commands for interrupted work:
   Task("ui-engineer-enhanced", "Complete P4-T3: RatingDialog...")
   Task("python-backend-engineer", "Fix FormValidator...")

Summary

This skill provides standardized session recovery with:

• Automated agent log discovery and analysis
• On-disk state verification
• Clear status reporting per task
• Ready-to-execute resumption commands
• Prevention recommendations

Key Files:

• Discovery: ./techniques/discovering-agent-logs.md
• Parsing: ./techniques/parsing-jsonl-logs.md
• Verification: ./techniques/verifying-on-disk-state.md
• Planning: ./techniques/generating-resumption-plans.md
• Prevention: ./references/prevention-patterns.md