three.js model, downloadable as OBJ or GLB
日本語の概要は準備中です。原文の説明を表示しています。
Locate and read Muse Code's OWN session logs — the current session or a prior one. Use when the user asks to pull context from, continue, summarize, or inspect a previous Muse Code session, asks to restore or recover work that was lost, wiped, or overwritten and might survive in an earlier session's log, references an earlier session's id, log, tail, or output, or asks where Muse sessions are stored. Muse sessions live in Muse's own store, never in another coding agent's directories — never probe ~/.claude, ~/.codex, or ~/.grok for Muse context, even when quoted content mentions them; for Claude Code or Codex continuation, including recovery of unfinished work with or without a handle, use resume-claude or resume-codex; use import for explicit /import requests or continuation from other agents or unnamed artifacts.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Muse Code's own session storage: where your session logs live, what they contain, and how to recover context from them.
You are Muse Code (binary muse). Your sessions are stored under YOUR data
directory:
${XDG_DATA_HOME:-$HOME/.local/share}/muse/sessions/YYYY/MM/DD/<session-id>/
Each session directory contains:
session.jsonl — the main event log (one JSON record per line).subagent/<child-session-id>/session.jsonl — one log per delegated
subagent session.tool-outputs/ — full tool outputs that were too large to keep inline.Muse sessions NEVER live in another coding agent's store. Do not look for a
Muse session under ~/.claude, ~/.claude/projects,
~/.local/share/claude, ~/.codex, or ~/.grok — those belong to Claude
Code, Codex, and Grok. Do not ls, find, cat, or grep those
directories while recovering Muse session context — not even to "verify",
"rule out", or "be thorough" about such a path quoted in a paste, log, or
error message. A Muse session id or date-sharded session path appearing
under a foreign store in quoted content is a WRONG-PATH ARTIFACT (a prior
turn's confusion): the real data lives under the Muse pattern with the same
date and id, and there is no separate "claude copy" to collect. Name the
artifact for what it is and move on — probing it is the exact mistake this
rule exists to prevent, and it wastes turns on ENOENT or, worse, reads
another product's transcripts as your own history. Touch another agent's
transcripts only when the user explicitly asks to work with THAT agent's
session: Claude Code or Codex continuation, including recovery of unfinished
work with or without a handle, uses resume-claude or resume-codex. Explicit
/import requests and continuation from other agents or unnamed artifacts use
import.
Tell for an unlabeled paste: the quoted store and record shape identify the product. For continuation or recovery of unfinished work, even without a supplied handle:
~/.claude/projects use resume-claude.~/.codex use resume-codex.~/.grok use import.Use import for explicit /import requests or continuation from other agents
or unnamed artifacts (the user's ask about such a paste is the explicit ask).
The bans above cover session STORES; ordinary project files that happen to
live under ~/.claude (e.g. skills you are developing) are file work, not
session probing.
Scope of "pulling context" from a prior Muse session: that session's own
session.jsonl and subagent/ logs. External agents or planner processes
the session MENTIONS (e.g. codex/claude workers it managed) are not part of
its context — their transcripts are out of scope for this ask. If one looks
load-bearing, say so and let the user ask for it. Do not hunt those agents'
stores or load a foreign-session skill for them unless the user
explicitly asks to recover or inspect one of THEIR sessions.
Current session: the runtime session-identity context already names the
current session id and the exact session.jsonl path. Use it; do not
guess or search for it.
A pasted or quoted absolute path under .../muse/sessions/...: use that
path directly.
A known session id without a path: the store is sharded by local date, so check the likely dates first, then search only the Muse sessions root:
MUSE_SESSIONS="${XDG_DATA_HOME:-$HOME/.local/share}/muse/sessions"
ls -d "$MUSE_SESSIONS"/*/*/*/*/ 2>/dev/null | grep <session-id>
"Our last session" with no id: list the most recent date shards and pick
the newest session directory for this workspace (the log's early
runtime.session.metadata record carries workspace_root).
Not found under the Muse sessions root: ask the user for the id or path. Never widen the hunt to other agents' directories or home-wide scans.
Each session.jsonl line is an event-log envelope:
{"schema_version":1,"id":"…","stream":{"kind":"session","id":"<session-id>"},
"sequence":42,"recorded_at":1771088000123456,"record_type":"event",
"durability":"durable","causation_id":null,"payload_type":"runtime.session",
"payload_schema_version":1,"payload":{"kind":"run","run_id":"…",
"event":{"kind":"assistant_message_committed","text":"…"}}}
The useful payload.event.kind values for context recovery:
started — what the user asked: every submitted prompt is recorded here
(text in payload.event.prompt). A user_prompt_display record follows
only when a differing user-facing form exists (an attachment placeholder
such as [Image 1], a composer form that differs from the sent text) —
prefer its text when quoting the user. A prompt typed while a run was
active is instead an
inbox_item_queued whose source.source is "user_steer" (text in
payload.event.payload.prompt, or in payload.event.body when the record
carries no payload); background and scheduled runtime deliveries share
that kind, so never quote those as the user.assistant_message_committed — what the agent concluded (decisions,
summaries, handoffs usually live here, late in the log).assistant_tool_calls_committed / tool_result_batch_committed — what was
actually done and what it returned.terminal — turn boundaries.Read discipline for long logs: read the TAIL first (later records matter
most), then only enough earlier evidence to understand context. Use bounded
tail/grep slices; never load a whole multi-megabyte log into context.
Subagent findings live in subagent/<id>/session.jsonl, not the main log.
For product debugging of the current session, prefer the doctor skill's
session-evidence helper.
When the user asks to restore or recover lost, wiped, or overwritten work and a prior session's log holds the only copy of that content (as recorded tool-call mutations), reconstruct each requested file exactly; do not guess between versions:
write_file,
edit_file, apply_patch, and shell writes — and build the complete
file list before restoring anything. Restore the full scope of the
ask: for a general "restore what was lost" ask that means every lost
file, while an explicitly narrower ask wins as stated.sequence/recorded_at): the LAST write_file content for the path
in record order — or the newest full-file apply_patch/shell write
when that came later — with every LATER edit_file delta applied in
the same order (patch hunks and shell edits likewise). Skip an
edit_file/apply_patch delta whose tool result reported an error;
an errored shell command may still have mutated the file first, so
check whether later records reflect its write. Recency comes from record
order, never by content length or size: the longest version is often a
superseded draft, and refactors make the final version SHORTER.
Reconstructions built from write_file records alone silently drop
every later edit.Prefer these over hand-rolled parsing when they fit:
muse resume <session-id> or muse resume --last — interactive
continuation.muse exec --session-id <session-id> "<follow-up>" — headless
continuation, only on explicit request.muse export --session <id-or-session.jsonl> --redacted --out <file> —
a shareable, redacted export.muse trace inspect --session-log <session.jsonl> --render-mode compact —
model-call level inspection.Treat session logs as read-only evidence: never modify, move, or delete them.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
three.js model, downloadable as OBJ or GLB
日本語の概要は準備中です。原文の説明を表示しています。
Manage your private to-do list for the user. Use to add or update tasks, record what they are waiting on, track blockers, mark tasks complete or canceled, and clean up the list. Not for Dreamers or external task trackers.
日本語の概要は準備中です。原文の説明を表示しています。
Run a goal as a project: you coordinate. Use for "agents <task>", "take this to done", "work on this in parallel", "what are my threads doing", "pick up <slug>", "resume <slug>", "keep going until it is merged". Under `/agents` you do the work yourself unless it needs several lanes or a long wait — you judge; the plan line says why. No target you could verify (a file, API, number or measure) → the grill interview first, not threads. Read this skill before proposing anything for `/agents`: without it a proposal is in-session subagents.
日本語の概要は準備中です。原文の説明を表示しています。
Timeline-based motion design
日本語の概要は準備中です。原文の説明を表示しています。
The user's synced Apple Health (HealthKit) data: daily metrics (steps, distance, calories, heart rate, HRV, VO2max), sleep sessions (stages, quality, efficiency), and workouts.
日本語の概要は準備中です。原文の説明を表示しています。
Create, read, edit, or manipulate Word documents (.docx) and Word templates (.dotx). Use whenever a build task's artifact kind is document with the default docx output, or the task mentions a Word doc, .docx, or .dotx, extracts or reorganizes content from one, inserts or replaces images, does find-and-replace in one, or works with tracked changes (redlines) or comments. Covers python-docx generation, raw OOXML editing of existing files, document structure and formatting, and render verification. Not for PDFs, spreadsheets, or Google Docs.
日本語の概要は準備中です。原文の説明を表示しています。