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訊息操作

以證據為先的即時訊息工作流程,適用於用戶想要閱讀簡訊或私訊、找回近期的一次性驗證碼、在回覆前檢查對話串,或證明實際已檢查哪個訊息來源。

訊息操作 是什麼?

「訊息操作」技能專為AI代理處理即時訊息檢索任務而設計,涵蓋iMessage、社交平台私訊、近期一次性驗證碼以及回覆前的對話串檢查。它強調「先確認來源,再行動」的工作流程,確保代理能明確區分簡訊/私訊與電子郵件(後者應使用email-ops)。此技能支援多種平台(本地訊息、X/社交私訊、瀏覽器訊息),並提供結構化的查驗與輸出格式,讓開發者與使用者能清楚掌握每個檢索任務的來源、時間範圍與狀態(如已讀、已找到驗證碼、受阻、待回覆草稿)。其核心價值在於建立可稽核的證據鏈,避免代理混淆訊息類型或未經明確來源聲明即擅自聲稱已完成檢索。

相容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/messages-ops

在你喜歡的 AI 中提問

開啟一個已預先載入此 Agent Skill 的新對話。

說明文件

訊息操作 是做什麼的?

當任務涉及即時訊息檢索時使用此技能:iMessage、私訊、近期一次性驗證碼,或在後續回覆前檢查對話串。

這不是電子郵件工作。若主要介面為信箱,請改用 email-ops。

技能堆疊

在相關時將這些 ECC 原生技能拉入工作流程:

  • email-ops:當訊息任務實際為信箱工作時
  • connections-optimizer:當私訊對話串屬於對外網路工作時
  • lead-intelligence:當即時對話串應協助定位目標或建立暖途聯繫時
  • knowledge-ops:當對話串內容需擷取至持久化上下文時

使用時機

  • 用戶說「讀我的訊息」、「檢查簡訊」、「看私訊」或「找驗證碼」
  • 任務依賴即時對話串或近期傳送至本地訊息介面的驗證碼
  • 用戶希望證明已檢查哪個來源或對話串

護欄

  • 先確認來源:
    • 本地訊息
    • X / 社交私訊
    • 其他需瀏覽器閘道的訊息介面
  • 未指明來源前,不得聲稱已檢查對話串
  • 若已有經過驗證的輔助工具或標準路徑,不得自行發起原始資料庫存取
  • 若身分驗證或雙重驗證阻擋了介面,請如實回報確切的阻礙

工作流程

1. 確認確切對話串

在執行任何動作前,先確定:

  • 訊息介面
  • 寄件人 / 收件人 / 服務
  • 時間範圍
  • 任務類型:檢索、檢查,或準備回覆

2. 起草前先閱讀

若任務可能轉為對外後續追蹤:

  • 讀取最新的來訊
  • 找出未閉合的對話
  • 必要時將任務移交給正確的對外技能

3. 將驗證碼視為聚焦式檢索任務

針對一次性驗證碼:

  • 先搜尋近期本地訊息視窗
  • 儘可能按服務或寄件人縮小範圍
  • 一旦找到驗證碼或聚焦搜尋已窮盡,即停止

4. 回報確切證據

回傳:

  • 使用的來源
  • 可能的對話串或寄件人
  • 時間範圍
  • 確切狀態:
    • 已讀
    • 驗證碼已找到
    • 受阻
    • 等待回覆草稿

輸出格式

來源
- 訊息介面
- 寄件人 / 對話串 / 服務

結果
- 訊息摘要或驗證碼
- 時間範圍

狀態
- 已讀 / 驗證碼已找到 / 受阻 / 等待回覆草稿

常見陷阱

  • 不可混淆信箱工作與簡訊/私訊工作
  • 未指明來源前,不得聲稱已完成檢索
  • 當請求為近期驗證碼查詢時,不要浪費時間進行廣泛搜尋
  • 不可持續重試受阻的身分驗證路徑而不回報阻礙

驗證

  • 回覆中需指明訊息來源
  • 回覆中需包含寄件人、服務、對話串或明確的阻礙
  • 最終狀態需明確且有界限

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

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