Connect the claude-mem-cowork plugin to cmem.ai using personal credentials. The skill writes connection settings, checks status without revealing the token, and packages the configured plugin for reinstallation so pairing can persist beyond the current Cowork session.
中文简介正在准备中。当前显示英语简介。
This skill should be used when the user asks to "set up claude-mem", "pair claude-mem", "connect cmem", "add my cmem key", "set up cloud sync in Cowork", or provides cmem.ai Connect values (sync token, user id, SyncHub URL) for this plugin. Configures the claude-mem-cowork plugin credentials.
安装前可以查看交给 AI 代理的指令内容。
Configure this plugin with the user's own cmem.ai credentials so hooks can capture and inject memory. Anyone can pair — credentials are per-user configuration, never hardcoded in plugin logic.
From cmem.ai → Connect, the user has three values:
cm_) — used as the bearer API keyhttps://sync.cmem.ai)If the user pastes the whole Connect blurb, extract the three values from it. If any are missing, ask for the sync token at minimum — the other two are optional.
Locate the installed plugin root (this skill's own plugin). Update its
config.json: set apiKey to the sync token, userId, and syncHubUrl.
Leave other settings unless the user asks (inject toggles). Project naming
is automatic (cmem_work_*) and is not configurable.
Cowork containers are ephemeral: edits to the installed copy last only for
this session. To make pairing permanent, repackage — zip the plugin
directory as <plugin-name>.plugin and send it to the user to re-install
(the cowork-plugin skill's packaging flow). Tell the user this is why.
If this machine also has a local claude-mem install (a ~/.claude-mem/
directory exists), write the same values to
~/.claude-mem/settings.json with mode 0600 (CLAUDE_MEM_CLOUD_SYNC_TOKEN,
CLAUDE_MEM_CLOUD_SYNC_USER_ID, CLAUDE_MEM_CLOUD_SYNC_HUB_URL keys — the
same keys the local claude-mem cloud-sync pairing writes). This plugin's
hooks stay off wherever claude-mem is installed locally, so that pairing is
what carries this machine's work to cmem.ai. The worker reads those keys
only at startup: restart it and run the claude-mem cloud-sync skill's
Verify step, which must report configured: true and hub.reachable: true.
Don't report success before it does; if it never does, pair through that
skill's installer flow instead.
Verify without exposing the secret:
node "${CLAUDE_PLUGIN_ROOT}/scripts/cmem-hook.mjs" status
Report the masked output. A MISSING key means the write didn't land;
a 404 on /api/hooks/context is expected until the Pro endpoints deploy
(search/injection still work via /api/mcp).
Env vars override everything and need no file edits: CMEM_API_KEY,
CMEM_USER_ID, CMEM_SYNC_HUB_URL, CMEM_API_BASE.
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Turn agent activity and transcript token counts into a cost report organized around completed outcomes. Separate estimates from measured spending, examine waste and rework, and export readable HTML with supporting JSON, CSV, and evidence.
中文简介正在准备中。当前显示英语简介。
Monitor a pull request through reviews and automated checks, verify reported issues against the code, and make focused fixes. Repeat testing and review checks until actionable comments and unresolved threads are cleared and the request is ready to merge.
中文简介正在准备中。当前显示英语简介。
Delegate a coding task to a subagent that runs build, merges the ready pull request, and continues from the updated main branch into release, connecting implementation and release work in one automated sequence.
中文简介正在准备中。当前显示英语简介。
Check a local claude-mem worker, refresh viewer-specific caches of important observations, and exclude or restore records without deleting history. Inspect rules across shared, project, and agent layers, then append conflicts to a report.
中文简介正在准备中。当前显示英语简介。
Monitor a shipped release by checking published packages, live services, installed plugins, and late CI results or user reports. Verify regressions, prepare authorized fixes, and report release health with evidence and any remaining verification gaps.
中文简介正在准备中。当前显示英语简介。
Set up claude-mem for Grok Bot with a local worker and CMEM Pro service for recording observations. The skill also covers an optional host-login setup and remote cmem.ai connection, without requiring Cursor.
中文简介正在准备中。当前显示英语简介。