
asciinema-cast-format
Asciinema v3 .cast file format reference. TRIGGERS - cast format, asciicast spec, event codes, parse cast file.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/terrylica/cc-skills --skill asciinema-cast-format- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads asciinema-cast-format automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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:
- Event code table matches asciinema v2 specification
- Parsing examples use heredoc wrapper for bash compatibility
- Large file guidance reflects actual performance characteristics
- All jq commands tested with sample .cast files
Reference Documentation
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:
- Did the command succeed? — If not, fix the instruction or error table that caused the failure.
- Did parameters or output change? — If the underlying tool's interface drifted, update Usage examples and Parameters table to match.
- 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.
FAQ
What does the asciinema-cast-format skill do?
Asciinema v3 .cast file format reference. TRIGGERS - cast format, asciicast spec, event codes, parse cast file.
How do I install asciinema-cast-format?
Run npx skills add https://github.com/terrylica/cc-skills --skill asciinema-cast-format in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/asciinema-cast-format/ (personal) or .claude/skills/asciinema-cast-format/ (project).
Which AI agents can use asciinema-cast-format?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is asciinema-cast-format safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains asciinema-cast-format?
It is published by terrylica in terrylica/cc-skills. It has 131 recorded installs.
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