docs/ja-JP/skills/email-ops/SKILL.md
ECC用の証拠ベースのメールボックストリアージ、ドラフト作成、送信検証、および送信済みメールセーフフォローアップワークフロー。ユーザーがメールを整理したり、実際のメールサーフェスを通じてドラフトまたは送信したい、または送信済みメールに何が到着したかを証明したい場合に使用します。
npx skillsauth add affaan-m/everything-claude-code email-opsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use this when the real task is mailbox work: triage, drafting, replying, sending, or proving a message landed in Sent.
This is not a generic writing skill. It is an operator workflow around the actual mail surface.
Pull these ECC-native skills into the workflow when relevant:
brand-voice before drafting anything user-facinginvestor-outreach for investor, partner, or sponsor-facing mailcustomer-billing-ops when the thread is a billing/support incident rather than generic correspondenceknowledge-ops when the message or thread should be captured into durable context afterwardresearch-ops when a reply depends on fresh external factsmessages-opsBefore acting, settle:
If replying:
If creating a new outbound:
brand-voice before draftingFor draft-only work:
For live-send work:
Use exact status words:
If the send surface is blocked, preserve the draft and report the exact blocker instead of improvising a second transport without saying so.
MAIL SURFACE
- account
- thread / recipient
- requested action
DRAFT
- subject
- body
STATUS
- drafted / sent / blocked
- proof of Sent when applicable
NEXT STEP
- send
- follow up
- archive / move
development
Share durable, inspectable context and handoffs between Claude, Codex, Hermes, Cursor, OpenCode, and other agents through the local ECC Memory Vault. Use when an agent must save work state, transfer context, resume another agent's task, or search shared project knowledge.
development
Use when multiple consumers and providers must evolve an API or event schema without field drift, integration surprises, or one side silently redefining the interface.
tools
Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, and run explicitly gated node qualification through the separately installed canonical CLI. Use when a user asks to find H100/H200 capacity, request a fixed compute rate, check Itô compute status, or validate GPU nodes.
data-ai
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.