Communitygithub.com

messages-ops

Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.

What is messages-ops?

messages-ops is a Claude Code agent skill that evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.

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

Ask in your favorite AI

Open a new chat with this agent skill pre-loaded.

Documentation

Messages Ops

Use this when the task is live-message retrieval: iMessage, DMs, recent one-time codes, or thread inspection before a follow-up.

This is not email work. If the dominant surface is a mailbox, use email-ops.

Skill Stack

Pull these ECC-native skills into the workflow when relevant:

  • email-ops when the message task is really mailbox work
  • connections-optimizer when the DM thread belongs to outbound network work
  • lead-intelligence when the live thread should inform targeting or warm-path outreach
  • knowledge-ops when the thread contents need to be captured into durable context

When to Use

  • user says "read my messages", "check texts", "look in DMs", or "find the code"
  • the task depends on a live thread or a recent code delivered to a local messaging surface
  • the user wants proof of which source or thread was inspected

Guardrails

  • resolve the source first:
    • local messages
    • X / social DM
    • another browser-gated message surface
  • do not claim a thread was checked without naming the source
  • do not improvise raw database access if a checked helper or standard path exists
  • if auth or MFA blocks the surface, report the exact blocker

Workflow

1. Resolve the exact thread

Before doing anything else, settle:

  • message surface
  • sender / recipient / service
  • time window
  • whether the task is retrieval, inspection, or prep for a reply

2. Read before drafting

If the task may turn into an outbound follow-up:

  • read the latest inbound
  • identify the open loop
  • then hand off to the correct outbound skill if needed

3. Handle codes as a focused retrieval task

For one-time codes:

  • search the recent local message window first
  • narrow by service or sender when possible
  • stop once the code is found or the focused search is exhausted

4. Report exact evidence

Return:

  • source used
  • thread or sender when possible
  • time window
  • exact status:
    • read
    • code-found
    • blocked
    • awaiting reply draft

Output Format

SOURCE
- message surface
- sender / thread / service

RESULT
- message summary or code
- time window

STATUS
- read / code-found / blocked / awaiting reply draft

Pitfalls

  • do not blur mailbox work and DM/text work
  • do not claim retrieval without naming the source
  • do not burn time on broad searches when the ask is a recent-code lookup
  • do not keep retrying a blocked auth path without surfacing the blocker

Verification

  • the response names the message source
  • the response includes a sender, service, thread, or clear blocker
  • the final state is explicit and bounded

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.

Related Skills