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This skill converts asciinema cast recordings to clean text for Claude Code analysis, stripping ANSI and JSON to enable fast searching.
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---
name: asciinema-converter
description: Convert .cast recordings to .txt for analysis. TRIGGERS - convert cast, cast to txt, strip ANSI, batch convert.
allowed-tools: Read, Bash, Glob, Write, AskUserQuestion
---
# 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+)
## When to Use This Skill
Use this skill when:
- Converting .cast recordings to searchable .txt format
- Preparing recordings for Claude Code Read/Grep tools
- Batch converting multiple recordings
- Reducing storage size of session archives
- Extracting clean text from ANSI-coded terminal output
---
## Why Convert?
| Format | Size (22h session) | Claude Code Compatible | Searchable |
| ------ | ------------------ | ---------------------- | ---------- |
| .cast | 3.8GB | No (NDJSON + ANSI) | Via jq |
| .txt | ~4MB | Yes (clean text) | Grep/Read |
**Key benefit**: Claude Code's Read and Grep tools work directly on .txt output.
---
## Requirements
| Component | Required | Installation | Notes |
| ------------- | -------- | ------------------------ | --------------------- |
| **asciinema** | Yes | `brew install asciinema` | v2.4+ for convert cmd |
---
## 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.
```bash
/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Description: "Run: brew install asciinema (or upgrade if outdated)"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
```bash
/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 ${PWD}/tmp/"
- Label: "Custom path"
Description: "Specify a custom output location"
```
---
### Phase 4: Execute Conversion
**Purpose**: Run the conversion and report results.
#### Step 4.1: Run asciinema convert
```bash
/usr/bin/env bash << 'CONVERT_EOF'
INPUT_FILE="${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
```bash
/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: $OUTPUT_FILE"
REPORT_EOF
```
---
### Phase 5: Create Timestamp Index (if selected)
**Purpose**: Generate indexed version for navigation.
```bash
/usr/bin/env bash << 'INDEX_EOF'
INPUT_CAST="${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` flag.
**Use case**: Convert 1000+ iTerm2 auto-logged recordings efficiently.
### Phase 7: Batch Source Selection
**Purpose**: Select source directory for batch conversion.
**Trigger**: `--batch` flag without `--source` argument.
```
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` argument provided, skip this phase.
---
### Phase 8: Batch Output Organization
**Purpose**: Configure output directory structure.
**Trigger**: `--batch` flag without `--output-dir` argument.
```
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` argument provided, skip this phase.
---
### Phase 9: Execute Batch Conversion
**Purpose**: Convert all files with progress reporting.
```bash
/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`
| Component | Description | Example |
| ------------------ | ------------------------------ | ------------------------------------ |
| creationTimeString | YYYYMMDD_HHMMSS | 20260118_232025 |
| profileName | iTerm2 profile (may have dots) | Claude Code |
| termid | Window/tab/pane identifier | w0t1p1 |
| iterm2.pid | iTerm2 process UUID | 70C05103-2F29-4B42-8067-BE475DB6126A |
| autoLogId | Session auto-log identifier | 68721.4013739999 |
---
## 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
```bash
# 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](./references/anti-patterns.md) - Common mistakes to avoid
- [Batch Processing](./references/batch-processing.md) - Patterns for bulk conversion
- [Integration Guide](./references/integration-guide.md) - Chaining with analyze/summarize
### External References
- [asciinema convert command](https://docs.asciinema.org/manual/cli/)
- [asciinema-cast-format skill](../asciinema-cast-format/SKILL.md)
---
## Troubleshooting
| Issue | Cause | Solution |
| --------------------------- | ------------------------- | ---------------------------------------------- |
| convert command not found | asciinema too old | Upgrade: `brew upgrade asciinema` (need v2.4+) |
| asciinema not installed | Missing CLI | `brew install asciinema` |
| Empty output file | Corrupted .cast input | Verify .cast file has valid NDJSON structure |
| Conversion failed | Invalid cast format | Check header line is valid JSON with `jq` |
| numfmt not found | macOS missing coreutils | Use raw byte count or `brew install coreutils` |
| stat syntax error | Linux vs macOS difference | Script handles both; check stat version |
| Batch skipping all files | All .txt already exist | Use `--skip-existing=false` to reconvert |
| Permission denied on output | Directory not writable | Check output directory permissions |
This skill converts asciinema .cast recordings into clean, searchable .txt files optimized for Claude Code analysis. It strips ANSI escape codes and the NDJSON wrapper to produce compact text outputs, achieving very high compression ratios. The tool supports single-file and batch workflows on macOS and Linux (requires asciinema CLI v2.4+).
The converter runs a preflight check to ensure the asciinema CLI and its convert command are available, then discovers .cast files and prompts you to select files or directories. It uses asciinema convert -f txt to produce plain text, optionally creates a timestamped index, and reports compression stats. Batch mode automates conversion across folders with skip-existing and progress reporting.
Which platforms are supported?
macOS and Linux are supported. The asciinema CLI must be installed and at least v2.4 for the convert command.
Will the original .cast be modified?
No. The workflow writes new .txt outputs and leaves the original .cast files untouched unless you choose to overwrite.
What does the timestamp index provide?
An optional [HH:MM:SS] indexed text file that maps chronological timestamps to cleaned terminal output snippets for quick navigation.