asciinema-converter

Convert asciinema .cast recordings to clean .txt files for Claude Code analysis. Achieves 950:1 compression (3.8GB -> 4MB) by stripping ANSI codes and JSON structure.

Platform: macOS, Linux (requires asciinema CLI v2.4+)

Why Convert?

Key benefit: Claude Code's Read and Grep tools work directly on .txt output.

Requirements

brew install asciinema

Workflow Phases (ALL MANDATORY)

IMPORTANT: All phases are MANDATORY. Do NOT skip any phase. AskUserQuestion MUST be used at each decision point.

Phase 0: Preflight Check

Purpose: Verify asciinema is installed and supports convert command.

/usr/bin/env bash << 'PREFLIGHT_EOF'
if command -v asciinema &>/dev/null; then
  VERSION=$(asciinema --version | head -1)
  echo "asciinema: $VERSION"

  # Check if convert command exists (v2.4+)
  if asciinema convert --help &>/dev/null 2>&1; then
    echo "convert: available"
  else
    echo "convert: MISSING (update asciinema to v2.4+)"
  fi
else
  echo "asciinema: MISSING"
fi
PREFLIGHT_EOF

If asciinema is NOT installed or convert is missing, use AskUserQuestion:

Question: "asciinema CLI issue detected. How would you like to proceed?"
Header: "Setup"
Options:
  - Label: "Install/upgrade asciinema (Recommended)"
    Description: "Run: brew install asciinema (or upgrade if outdated)"
  - Label: "Show manual instructions"
    Description: "Display installation commands for all platforms"
  - Label: "Cancel"
    Description: "Exit without converting"

Phase 1: File Discovery & Selection (MANDATORY)

Purpose: Discover .cast files and let user select which to convert.

Step 1.1: Discover .cast Files

/usr/bin/env bash << 'DISCOVER_EOF'
# Search for .cast files with metadata
for file in $(fd -e cast . --max-depth 5 2>/dev/null | head -10); do
  SIZE=$(ls -lh "$file" 2>/dev/null | awk '{print $5}')
  LINES=$(wc -l < "$file" 2>/dev/null | tr -d ' ')
  DURATION=$(head -1 "$file" 2>/dev/null | jq -r '.duration // "unknown"' 2>/dev/null)
  BASENAME=$(basename "$file")
  echo "FILE:$file|SIZE:$SIZE|LINES:$LINES|DURATION:$DURATION|NAME:$BASENAME"
done
DISCOVER_EOF

Step 1.2: Present File Selection (MANDATORY AskUserQuestion)

Use discovery results to populate options:

Question: "Which recording would you like to convert?"
Header: "Recording"
Options:
  - Label: "{filename} ({size})"
    Description: "{line_count} events, {duration}s duration"
  - Label: "{filename2} ({size2})"
    Description: "{line_count2} events, {duration2}s duration"
  - Label: "Browse for file"
    Description: "Search in a different directory"
  - Label: "Enter path"
    Description: "Provide a custom path to a .cast file"

Phase 2: Output Options (MANDATORY)

Purpose: Let user configure conversion behavior.

Question: "Select conversion options:"
Header: "Options"
multiSelect: true
Options:
  - Label: "Plain text output (Recommended)"
    Description: "Convert to .txt with all ANSI codes stripped"
  - Label: "Create timestamp index"
    Description: "Generate [HH:MM:SS] indexed version for navigation"
  - Label: "Split by idle time"
    Description: "Create separate chunks at 30s+ pauses"
  - Label: "Preserve terminal dimensions"
    Description: "Add header with original terminal size"

Phase 3: Output Location (MANDATORY)

Purpose: Let user choose where to save the output.

Question: "Where should the output be saved?"
Header: "Output"
Options:
  - Label: "Same directory as source (Recommended)"
    Description: "Save {filename}.txt next to {filename}.cast"
  - Label: "Workspace tmp/"
    Description: "Save to ${PWD}/tmp/"
  - Label: "Custom path"
    Description: "Specify a custom output location"

Phase 4: Execute Conversion

Purpose: Run the conversion and report results.

Step 4.1: Run asciinema convert

/usr/bin/env bash << 'CONVERT_EOF'
INPUT_FILE="${1:?Input file required}"
OUTPUT_FILE="${2:?Output file required}"

echo "Converting: $INPUT_FILE"
echo "Output:     $OUTPUT_FILE"
echo ""

# Run conversion
asciinema convert -f txt "$INPUT_FILE" "$OUTPUT_FILE"

if [[ $? -eq 0 && -f "$OUTPUT_FILE" ]]; then
  echo "Conversion successful"
else
  echo "ERROR: Conversion failed"
  exit 1
fi
CONVERT_EOF

Step 4.2: Report Compression

/usr/bin/env bash << 'REPORT_EOF'
INPUT_FILE="${1:?}"
OUTPUT_FILE="${2:?}"

# Get file sizes (macOS compatible)
INPUT_SIZE=$(stat -f%z "$INPUT_FILE" 2>/dev/null || stat -c%s "$INPUT_FILE" 2>/dev/null)
OUTPUT_SIZE=$(stat -f%z "$OUTPUT_FILE" 2>/dev/null || stat -c%s "$OUTPUT_FILE" 2>/dev/null)

# Calculate ratio
if [[ $OUTPUT_SIZE -gt 0 ]]; then
  RATIO=$((INPUT_SIZE / OUTPUT_SIZE))
else
  RATIO=0
fi

# Human-readable sizes
INPUT_HR=$(numfmt --to=iec "$INPUT_SIZE" 2>/dev/null || echo "$INPUT_SIZE bytes")
OUTPUT_HR=$(numfmt --to=iec "$OUTPUT_SIZE" 2>/dev/null || echo "$OUTPUT_SIZE bytes")

echo ""
echo "=== Conversion Complete ==="
echo "Input:       $INPUT_HR"
echo "Output:      $OUTPUT_HR"
echo "Compression: ${RATIO}:1"
echo "Output path: $OUTPUT_FILE"
REPORT_EOF

Phase 5: Create Timestamp Index (if selected)

Purpose: Generate indexed version for navigation.

/usr/bin/env bash << 'INDEX_EOF'
INPUT_CAST="${1:?}"
OUTPUT_INDEX="${2:?}"

echo "Creating timestamp index..."

# Process .cast file to indexed format
(
  echo "# Recording Index"
  echo "# Format: [HH:MM:SS] content"
  echo "#"

  cumtime=0
  tail -n +2 "$INPUT_CAST" | while IFS= read -r line; do
    # Extract timestamp and content
    ts=$(echo "$line" | jq -r '.[0]' 2>/dev/null)
    type=$(echo "$line" | jq -r '.[1]' 2>/dev/null)
    content=$(echo "$line" | jq -r '.[2]' 2>/dev/null)

    if [[ "$type" == "o" && -n "$content" ]]; then
      # Format timestamp as HH:MM:SS
      hours=$((${ts%.*} / 3600))
      mins=$(((${ts%.*} % 3600) / 60))
      secs=$((${ts%.*} % 60))
      timestamp=$(printf "%02d:%02d:%02d" "$hours" "$mins" "$secs")

      # Clean and output (strip ANSI, limit length)
      clean=$(echo "$content" | sed 's/\x1b\[[0-9;]*[a-zA-Z]//g' | tr -d '\r' | head -c 200)
      [[ -n "$clean" ]] && echo "[$timestamp] $clean"
    fi
  done
) > "$OUTPUT_INDEX"

echo "Index created: $OUTPUT_INDEX"
wc -l "$OUTPUT_INDEX"
INDEX_EOF

Phase 6: Next Steps (MANDATORY)

Purpose: Guide user to next action.

Question: "Conversion complete. What's next?"
Header: "Next"
Options:
  - Label: "Analyze with /asciinema-tools:analyze"
    Description: "Run keyword extraction on the converted file"
  - Label: "Open in editor"
    Description: "View the converted text file"
  - Label: "Done"
    Description: "Exit - no further action needed"

Batch Mode (Phases 7-9)

Batch mode converts all .cast files in a directory with organized output. Activated via

--batch

Use case: Convert 1000+ iTerm2 auto-logged recordings efficiently.

Phase 7: Batch Source Selection

Purpose: Select source directory for batch conversion.

Trigger:

--batch

--source

Question: "Select source directory for batch conversion:"
Header: "Source"
Options:
  - Label: "~/asciinemalogs (iTerm2 default)" (Recommended)
    Description: "Auto-logged iTerm2 recordings"
  - Label: "~/Downloads"
    Description: "Recent downloads containing .cast files"
  - Label: "Current directory"
    Description: "Convert .cast files in current working directory"
  - Label: "Custom path"
    Description: "Specify a custom source directory"

Skip condition: If

--source

Phase 8: Batch Output Organization

Purpose: Configure output directory structure.

Trigger:

--batch

--output-dir

Question: "Where should converted files be saved?"
Header: "Output"
Options:
  - Label: "~/Downloads/cast-txt/ (Recommended)"
    Description: "Organized output directory, easy to find"
  - Label: "Same as source"
    Description: "Save .txt files next to .cast files"
  - Label: "Custom directory"
    Description: "Specify a custom output location"

Skip condition: If

--output-dir

Phase 9: Execute Batch Conversion

Purpose: Convert all files with progress reporting.

/usr/bin/env bash << 'BATCH_EOF'
SOURCE_DIR="${1:?Source directory required}"
OUTPUT_DIR="${2:?Output directory required}"
SKIP_EXISTING="${3:-true}"

mkdir -p "$OUTPUT_DIR"

echo "=== Batch Conversion ==="
echo "Source:        $SOURCE_DIR"
echo "Output:        $OUTPUT_DIR"
echo "Skip existing: $SKIP_EXISTING"
echo ""

total=0
converted=0
skipped=0
failed=0
total_input_size=0
total_output_size=0

# Count files first
total=$(find "$SOURCE_DIR" -maxdepth 1 -name "*.cast" -type f 2>/dev/null | wc -l | tr -d ' ')
echo "Found $total .cast files"
echo ""

for cast_file in "$SOURCE_DIR"/*.cast; do
  [[ -f "$cast_file" ]] || continue

  basename=$(basename "$cast_file" .cast)
  txt_file="$OUTPUT_DIR/${basename}.txt"

  # Skip if already converted (and skip mode enabled)
  if [[ "$SKIP_EXISTING" == "true" && -f "$txt_file" ]]; then
    echo "SKIP: $basename (already exists)"
    ((skipped++))
    continue
  fi

  # Get input size
  input_size=$(stat -f%z "$cast_file" 2>/dev/null || stat -c%s "$cast_file" 2>/dev/null)

  # Convert
  if asciinema convert -f txt "$cast_file" "$txt_file" 2>/dev/null; then
    output_size=$(stat -f%z "$txt_file" 2>/dev/null || stat -c%s "$txt_file" 2>/dev/null)
    if [[ $output_size -gt 0 ]]; then
      ratio=$((input_size / output_size))
    else
      ratio=0
    fi
    echo "OK:   $basename (${ratio}:1 compression)"
    ((converted++))
    total_input_size=$((total_input_size + input_size))
    total_output_size=$((total_output_size + output_size))
  else
    echo "FAIL: $basename"
    ((failed++))
  fi
done

echo ""
echo "=== Batch Complete ==="
echo "Converted: $converted"
echo "Skipped:   $skipped"
echo "Failed:    $failed"

if [[ $total_output_size -gt 0 ]]; then
  overall_ratio=$((total_input_size / total_output_size))
  echo "Overall compression: ${overall_ratio}:1"
fi
echo "Output directory: $OUTPUT_DIR"
BATCH_EOF

Phase 10: Batch Next Steps

Purpose: Guide user after batch conversion.

Question: "Batch conversion complete. What's next?"
Header: "Next"
Options:
  - Label: "Batch analyze with /asciinema-tools:analyze --batch"
    Description: "Run keyword extraction on all converted files"
  - Label: "Open output directory"
    Description: "View converted files in Finder"
  - Label: "Done"
    Description: "Exit - no further action needed"

iTerm2 Filename Format

iTerm2 auto-logged files follow this format:

{creationTimeString}.{profileName}.{termid}.{iterm2.pid}.{autoLogId}.cast

Example:

20260118_232025.Claude Code.w0t1p1.70C05103-2F29-4B42-8067-BE475DB6126A.68721.4013739999.cast

TodoWrite Task Template

Single File Mode

1. [Preflight] Check asciinema CLI and convert command
2. [Preflight] Offer installation if missing
3. [Discovery] Find .cast files with metadata
4. [Selection] AskUserQuestion: file to convert
5. [Options] AskUserQuestion: conversion options (multi-select)
6. [Location] AskUserQuestion: output location
7. [Convert] Run asciinema convert -f txt
8. [Report] Display compression ratio and output path
9. [Index] Create timestamp index if requested
10. [Next] AskUserQuestion: next steps

Batch Mode (--batch flag)

1. [Preflight] Check asciinema CLI and convert command
2. [Preflight] Offer installation if missing
3. [Source] AskUserQuestion: source directory (skip if --source)
4. [Output] AskUserQuestion: output directory (skip if --output-dir)
5. [Batch] Execute batch conversion with progress
6. [Report] Display aggregate compression stats
7. [Next] AskUserQuestion: batch next steps

Post-Change Checklist

After modifying this skill:

Single File Mode

1. Preflight check detects asciinema version correctly
2. Discovery uses heredoc wrapper for bash compatibility
3. Compression calculation handles macOS stat syntax
4. All AskUserQuestion phases are present
5. TodoWrite template matches actual workflow

Batch Mode

1. --batch

   flag triggers batch workflow (phases 7-10)

2. --source

   skips Phase 7 (source selection)

3. --output-dir

   skips Phase 8 (output organization)

4. --skip-existing

   prevents re-conversion of existing files
5. Aggregate compression ratio calculated correctly
6. iTerm2 filename format documented

CLI Quick Reference

# Basic conversion
asciinema convert -f txt recording.cast recording.txt

# Check asciinema version
asciinema --version

# Verify convert command exists
asciinema convert --help

Reference Documentation

Internal References

• Anti-Patterns - Common mistakes to avoid
• Batch Processing - Patterns for bulk conversion
• Integration Guide - Chaining with analyze/summarize

External References

• asciinema convert command
• asciinema-cast-format skill