Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
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Converts a Claude Code session JSONL file into an animated GIF terminal replay. Use when creating demos or visual evidence from past sessions.
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Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Turn a Claude Code session JSONL file into an animated GIF that plays back the conversation as typed terminal output.
The skill orchestrates three steps: parse the session file into turns, generate a VHS tape from those turns, and hand off to scry for GIF rendering.
scribe:session-to-post)scribe:doc-generator)scry:vhs-recording directly)| Need | Skill | What it adds |
|---|---|---|
| GIF rendering | scry:vhs-recording | Converts VHS tape to animated GIF |
| Tutorial embedding | scribe:tech-tutorial | Embed GIF in tutorial markdown |
| PR preparation | sanctum:prepare-pr | Attach replay as PR evidence |
When the user invokes /session-replay without a path argument,
use scribe.session_parser.list_sessions() to discover recent
session files from ~/.claude/projects/.
The function returns a list of SessionInfo objects sorted by
modification time (most recent first), each containing:
path: full path to the .jsonl filemodified: mtime timestampfirst_user_message: preview of the first human messageturn_count: number of user turns in the sessionproject_name: parent directory namePresent the list to the user as a numbered menu:
Recent sessions:
1. [my-project] "implement auth module" (8 turns, 2h ago)
2. [api-server] "fix rate limiting bug" (3 turns, 5h ago)
3. [docs-site] "update installation guide" (12 turns, 1d ago)
Ask the user to pick a number. Use the selected session's
path for the remaining steps.
If list_sessions returns an empty list, report that no
sessions were found and suggest providing a path directly.
Use scribe.session_parser.parse_session() to read the JSONL
file. The parser:
Apply filters based on user options:
--turns selects specific turn ranges (e.g. 1-5)--show controls which layers appear: user, assistant,
tools, thinking (thinking is excluded by default)Use scribe.tape_generator.generate_tape() to convert the
parsed turns into a VHS tape file. The generator:
$ prefix--speed multiplier--max-duration is exceededWrite the tape to a temp file:
{tempdir}/session-replay-{timestamp}.tape
Invoke Skill(scry:vhs-recording) with the tape file path.
Scry validates the tape, runs VHS, and produces the GIF at
the path specified in the Output directive.
After successful rendering, delete the temp tape file.
| Error | Action |
|---|---|
| VHS not installed | Report: install via go install github.com/charmbracelet/vhs@latest |
| Tape syntax error | Report VHS error output. Likely a string escaping bug. |
| GIF generation fails | Report VHS error. Suggest --turns 1-5 to reduce scope. |
| Scry skill not found | Report: scry plugin required for GIF rendering. |
# Pick from recent sessions interactively
/session-replay
# Replay a specific file directly
/session-replay ~/.claude/projects/my-project/abc123.jsonl
# First 5 turns only, faster playback
/session-replay --turns 1-5 --speed 1.5
# Show only the conversation, no tool calls
/session-replay --show user,assistant --output demo.gif
Output (interactive picker):
Recent sessions:
1. [my-project] "implement auth module" (8 turns, 2h ago)
2. [api-server] "fix rate limiting bug" (3 turns, 5h ago)
3. [docs-site] "update installation guide" (12 turns, 1d ago)
Pick a session [1-3]: 1
Parsed 42 turns from session (12 user, 15 assistant, 15 tools)
Generated tape: /tmp/session-replay-1711234567.tape
Rendering GIF via scry...
Done: session-replay.gif (18s, 960x540)
{tempdir}/session-replay-{timestamp}.tape
before rendering is attemptedOutput
directive and its size reported (duration, dimensions)go install github.com/charmbracelet/vhs@latest rather than
silently failinglist_sessions() returns empty,
user is told no sessions were found and directed to provide a
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Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
The English summary is being prepared. Showing the original description.
Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
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Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
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Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
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Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
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Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
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