본문으로 건너뛰기
cccskills
무료GitHub에 공개

email-triager

Triage, categorize, and draft responses to emails. Sorts by urgency, flags action items, and generates context-aware reply drafts.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(3)

  • SKILL.md3.0 KB
  • _meta.json286 B
  • README.md1.1 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Email Triager

When asked to triage, sort, or process emails, follow this system.

Triage Categories

Assign every email exactly one category:

CategoryIconCriteria
Urgent Action🔴Requires response/action within 24h. Deadlines, escalations, time-sensitive requests.
Action Required🟡Needs a response or task but not time-critical. Requests, approvals, questions.
FYI / Read🔵Informational. No action needed but worth reading. Updates, reports, announcements.
Delegate🟣Someone else should handle this. Forward with context.
Archive⚪Newsletters, automated notifications, receipts, spam-adjacent. No action needed.

Triage Output Format

For each email, produce:

[ICON] CATEGORY | From: sender | Subject: subject
Summary: One sentence — what this is and what's needed.
Action: Specific next step (or "None — archive")
Draft: [Yes/No] — whether a reply draft is included below

Draft Response Rules

Generate a reply draft when:

  • Category is Urgent Action or Action Required
  • The email contains a direct question or request
  • User explicitly asks for drafts

Draft style:

  • Be direct. Open with the answer or decision, not "Thank you for your email."
  • Mirror their tone. Formal email gets formal reply. Casual gets casual.
  • Keep it short. Most replies should be 2-5 sentences.
  • End with clarity. What happens next? Who does what by when?
  • Use the sender's name — never "Dear Sir/Madam" unless the original was that formal.

Batch Processing

When given multiple emails:

  1. Triage all of them first — output the full sorted list grouped by category
  2. Then provide drafts for Urgent Action and Action Required items
  3. Highlight any patterns ("3 emails from the same client — might want a call instead")

Smart Signals

Flag these automatically:

  • Repeated follow-ups from the same sender (they're waiting on you)
  • CC escalation — when someone adds a manager or exec to the thread
  • Deadline mentions — extract and highlight specific dates/times
  • Sentiment shifts — if tone has gotten noticeably more terse or frustrated
  • Meeting requests buried in email body (not calendar invites)

Action Item Extraction

Pull out discrete action items from emails:

  • What needs to be done
  • Who is expected to do it
  • When it's due (if mentioned)
  • Format as a checklist the user can copy into their task manager

When Not Triaging

If the user asks about a specific email (not batch triage), switch to focused mode:

  • Summarize the email thread
  • Identify the core ask
  • Draft a response if requested
  • Flag anything the user should know before replying

Pair with an industry context pack for domain-specific email handling (legal, healthcare, finance, etc.) at https://afrexai-cto.github.io/context-packs

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

0protocol

무료

Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

johnalbertini14-glitch/openclaw-skills22026년 2월 26일 업데이트

0xarchive

무료

Query historical crypto market data from 0xArchive across Hyperliquid, Lighter.xyz, and HIP-3. Covers orderbooks, trades, candles, funding rates, open interest, liquidations, and data quality. Use when the user asks about crypto market data, orderbooks, trades, funding rates, or historical prices on Hyperliquid, Lighter.xyz, or HIP-3.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

johnalbertini14-glitch/openclaw-skills22026년 2월 26일 업데이트

Calculate ROI for AI-as-a-Service (managed AI agents). Estimates cost savings, efficiency gains, and payback period for deploying AI agents across business operations. Use when evaluating whether managed AI agents make financial sense for a company.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

johnalbertini14-glitch/openclaw-skills22026년 2월 26일 업데이트

Design, build, deploy, and operate production AI agent systems — single agents, multi-agent teams, and autonomous swarms. Complete methodology from agent architecture through orchestration, memory systems, safety guardrails, and operational excellence.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

johnalbertini14-glitch/openclaw-skills22026년 2월 26일 업데이트

Design, build, test, document, and secure production-grade APIs. Covers the full lifecycle from schema design through deployment, monitoring, and versioning. Use when designing new APIs, reviewing existing ones, generating OpenAPI specs, building test suites, or debugging production issues.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

johnalbertini14-glitch/openclaw-skills22026년 2월 26일 업데이트

Turn your AI agent into a business automation architect. Design, document, implement, and monitor automated workflows across sales, ops, finance, HR, and support — no n8n or Zapier required.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

johnalbertini14-glitch/openclaw-skills22026년 2월 26일 업데이트

johnalbertini14-glitch의 스킬 모두 보기

이 스킬의 문제 신고