Build (or refresh) a voice profile of how the user writes email, from their own sent Gmail. The profile is what email-draft-in-voice consumes to ghostwrite email that sounds like them.
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。
Use this when the user asks you to learn how they write email — "learn my voice",
"build my email voice profile", "study my sent mail so you can draft for me" — or when
email-draft-in-voice needs a profile that doesn't exist yet.
Personal DMs only. Sent mail is private; refuse to run this from a channel or group and offer to continue in the user's DM. The profile you produce lives in their personal workspace, so only their own conversations can read it.
Use the selected email access skill to retrieve up to 300 of the user's sent messages.
Strip quoted replies and ---delimited signatures, drop automated and trivial messages,
and write one JSON line per email to voice/corpus/corpus.jsonl, tagged internal or
external by recipient domain. Record corpus stats; if fewer than ~50 usable emails
survive, tell the user the profile will be rough and ask whether to continue.
Read a deliberate spread, not just the top of the file: oldest and newest, internal and external, one-liners and long emails. You are looking for what is distinctive — patterns a generic professional emailer would not share.
Watch for a signature block: only ---delimited signatures are stripped, so a plain
signature (name / title / phone) survives at the end of many bodies. Treat a verbatim
recurring trailing block as the mail client's signature, not a chosen sign-off — note
it in the profile so drafts never include it (Gmail appends it on send).
Write voice/email-voice-profile.md in the workspace with exactly these sections,
every claim backed by observed frequency ("uses 'Best,' in 80% of external mail"),
with 2–3 verbatim example lines each:
Hold out 3 real threads the profile wasn't built from. For each, draft the user's
reply using only the profile, then compare with what they actually sent. Where the
real email diverges, tighten the profile — usually a missing hard rule or register
distinction. Record validated: <date> at the top of the profile once the drafts read
as plausibly theirs.
Show the user the finished profile and ask what feels wrong; their corrections go in as hard rules. Re-run this skill any time they want it refreshed — it overwrites the corpus and profile in place.
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
Act for an org admin — the admin API (scope directory, per-scope config & SOUL, any scope's memory, transcripts & captured prompts, files, user roster & external users, audit/errors/metrics/egress) accepts your token when the user you're talking to is an org admin and started this turn themselves. Use when an admin asks you to inspect or change anything org-wide or in another scope, or anyone asks whether they're an admin.
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。
Drive a real stealth browser from your shell — act on websites (order food, file an expense, pull data behind a login), with per-person persistent sign-ins via the provider's managed auth (Kernel, Anchor, or Browserbase — picked by which API key you have). Use for ACTING on a site; to just read a page, use curl/wget first. Requires managed model access and a keychain grant for the browser provider key; follow the missing-key steps below.
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。
Sign a cloud provider's CLI in (AWS, Google Cloud, Azure, or another) with a device-code flow, then run that CLI as the requesting user. Covers checking the CLI is installed, the login that survives the browser round-trip, and the boundaries on cloud writes.
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。
Show the app connection picker or setup widget when users ask to connect apps, reopen setup, or need an app that isn't connected yet. Use QM’s authenticated backend for app discovery, consent, and execution without exposing project keys.
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。
Connect an administrator-enabled SaaS app for a user with a one-time OAuth consent link.
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。
Define a Loop — a durable scaffold that works a queue of recurring tasks autonomously (Sentry issues, Front tickets, small perf PRs) with its outputs held for human review. Use when someone wants an agent to keep doing a kind of work on a schedule, rather than one-off. Walks the interview, runs one real item live before arming anything, then writes the playbook and creates the loop.
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。