asciinema-cast-format

name	asciinema-cast-format
description	Asciinema v3 .cast file format reference. TRIGGERS - cast format, asciicast spec, event codes, parse cast file.
allowed-tools	Read, Bash

asciinema-cast-format

Reference documentation for the asciinema v3 .cast file format (asciicast v2 specification).

Platform: All platforms (documentation only)

Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.

When to Use This Skill

Use this skill when:

• Parsing or inspecting .cast file structure
• Understanding NDJSON header and event formats
• Building tools that read or write .cast files
• Debugging recording issues or format errors
• Learning the asciicast v2 specification

---

Format Overview

Asciinema v3 uses NDJSON (Newline Delimited JSON) format:

• Line 1: Header object with recording metadata
• Lines 2+: Event arrays with timestamp, type, and data

---

Header Specification

The first line is a JSON object with these fields:

Field	Type	Required	Description
version	int	Yes	Format version (always 2 for v3 recordings)
width	int	Yes	Terminal width in columns
height	int	Yes	Terminal height in rows
timestamp	int	No	Unix timestamp of recording start
duration	float	No	Total duration in seconds
title	string	No	Recording title
env	object	No	Environment variables (SHELL, TERM)
theme	object	No	Terminal color theme

Example Header

{
  "version": 2,
  "width": 120,
  "height": 40,
  "timestamp": 1703462400,
  "duration": 3600.5,
  "title": "Claude Code Session",
  "env": { "SHELL": "/bin/zsh", "TERM": "xterm-256color" }
}

---

Event Codes

Each event after the header is a 3-element array:

[timestamp, event_type, data]

Code	Name	Description	Data Format
o	Output	Terminal output (stdout)	String
i	Input	Terminal input (stdin)	String
m	Marker	Named marker for navigation	String (marker name)
r	Resize	Terminal resize event	"WIDTHxHEIGHT"
x	Exit	Extension for custom data	Varies

Event Examples

[0.5, "o", "$ ls -la\r\n"]
[1.2, "o", "total 48\r\n"]
[1.3, "o", "drwxr-xr-x  12 user  staff  384 Dec 24 10:00 .\r\n"]
[5.0, "m", "file-listing-complete"]
[10.5, "r", "80x24"]

---

Timestamp Behavior

• Timestamps are relative to recording start (first event is 0.0)
• Measured in seconds with millisecond precision
• Used for playback timing and navigation

Calculating Absolute Time

/usr/bin/env bash << 'CALC_TIME_EOF'
HEADER_TIMESTAMP=$(head -1 recording.cast | jq -r '.timestamp')
EVENT_OFFSET=1234.5  # From event array

ABSOLUTE=$(echo "$HEADER_TIMESTAMP + $EVENT_OFFSET" | bc)
date -r "$ABSOLUTE"  # macOS
# date -d "@$ABSOLUTE"  # Linux
CALC_TIME_EOF

---

Parsing Examples

Extract Header with jq

/usr/bin/env bash << 'HEADER_EOF'
head -1 recording.cast | jq '.'
HEADER_EOF

Get Recording Duration

/usr/bin/env bash << 'DURATION_EOF'
head -1 recording.cast | jq -r '.duration // "unknown"'
DURATION_EOF

Count Events by Type

/usr/bin/env bash << 'COUNT_EOF'
tail -n +2 recording.cast | jq -r '.[1]' | sort | uniq -c
COUNT_EOF

Extract All Output Events

/usr/bin/env bash << 'OUTPUT_EOF'
tail -n +2 recording.cast | jq -r 'select(.[1] == "o") | .[2]'
OUTPUT_EOF

Find Markers

/usr/bin/env bash << 'MARKERS_EOF'
tail -n +2 recording.cast | jq -r 'select(.[1] == "m") | "\(.[0])s: \(.[2])"'
MARKERS_EOF

Get Event at Specific Time

/usr/bin/env bash << 'TIME_EOF'
TARGET_TIME=60  # seconds
tail -n +2 recording.cast | jq -r "select(.[0] >= $TARGET_TIME and .[0] < $((TARGET_TIME + 1))) | .[2]"
TIME_EOF

---

Large File Considerations

For recordings >100MB:

File Size	Line Count	Approach
<100MB	<1M	jq streaming works fine
100-500MB	1-5M	Use --stream flag, consider ripgrep
500MB+	5M+	Convert to .txt first with asciinema

Memory-Efficient Streaming

/usr/bin/env bash << 'STREAM_EOF'
# Stream process large files
jq --stream -n 'fromstream(1|truncate_stream(inputs))' recording.cast | head -1000
STREAM_EOF

Use asciinema convert

For very large files, convert to plain text first:

asciinema convert -f txt recording.cast recording.txt

This strips ANSI codes and produces clean text (typically 950:1 compression).

---

TodoWrite Task Template

1. [Reference] Identify .cast file to analyze
2. [Header] Extract and display header metadata
3. [Events] Count events by type (o, i, m, r)
4. [Analysis] Extract relevant event data based on user need
5. [Navigation] Find markers or specific timestamps if needed

---

Post-Change Checklist

After modifying this skill:

1. Event code table matches asciinema v2 specification
2. Parsing examples use heredoc wrapper for bash compatibility
3. Large file guidance reflects actual performance characteristics
4. All jq commands tested with sample .cast files

---

Reference Documentation

• asciinema asciicast v2 Format
• asciinema CLI Usage
• jq Manual

---

Troubleshooting

Issue	Cause	Solution
jq parse error	Invalid NDJSON in .cast file	Check each line is valid JSON with jq -c .
Header missing duration	Recording in progress	Duration added when recording ends
Unknown event type	Custom extension event	Check for x type events (extension data)
Timestamp out of order	Corrupted file	Events should be monotonically increasing
Large file jq timeout	File too big for in-memory	Use --stream flag or convert to .txt first
Markers not found	No markers in recording	Markers are optional; not all recordings have them
Wrong version number	Older cast format	This skill covers v2 format (asciinema v3+)
Empty output from tail	File has only header	Recording may be empty or single-line

Post-Execution Reflection

After this skill completes, check before closing:

1. Did the command succeed? — If not, fix the instruction or error table that caused the failure.
2. Did parameters or output change? — If the underlying tool's interface drifted, update Usage examples and Parameters table to match.
3. Was a workaround needed? — If you had to improvise (different flags, extra steps), update this SKILL.md so the next invocation doesn't need the same workaround.

Only update if the issue is real and reproducible — not speculative.