This is a structured workflow for handling real email through Claude, not just writing drafts in isolation. It enforces evidence-first behavior: you don't claim a message was sent without checking the Sent folder, you read the thread before replying, and you explicitly verify which account and recipient you're targeting. It's designed for the ECC environment and pulls in other skills like brand voice or investor outreach when the context demands it. The workflow splits draft-only from live-send clearly, and the output format forces you to report exact state with proof. If you're doing actual mailbox operations where mistakes have consequences, the guardrails here prevent the usual LLM habit of confabulating send confirmations.

skills.sh installs
3.5K
GitHub stars
229.1K
last updated
Jul 14, 2026

Install

$ npx -y skills add affaan-m/everything-claude-code --skill email-ops --agent claude-code

Installs into .claude/skills of the current project.

Files

Email Ops

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.

Skill Stack

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

  • brand-voice before drafting anything user-facing
  • investor-outreach for investor, partner, or sponsor-facing mail
  • customer-billing-ops when the thread is a billing/support incident rather than generic correspondence
  • knowledge-ops when the message or thread should be captured into durable context afterward
  • research-ops when a reply depends on fresh external facts

When to Use

  • user asks to triage inbox or archive low-signal mail
  • user wants a draft, reply, or new outbound email
  • user wants to know whether a mail was already sent
  • the user wants proof of which account, thread, or Sent entry was used

Guardrails

Sponsors

Details

Repository
github.com/affaan-m/everything-claude-code
First seen
May 16, 2026

More from affaan-m/everything-claude-code

All 256

Recommended

1juliusbrussee avatarcavemanjuliusbrussee/cavemanUltra-compressed communication mode. Cuts output tokens 65% (measured) by speaking like caveman while keeping full technical accuracy. Supports intensity levels618.3Kskills.sh installs
2mattpocock avatargrill-memattpocock/skillsA relentless interview to sharpen a plan or design.1.5Mskills.sh installs
3shadcn avatarimproveshadcn/improveSurvey any codebase as a senior advisor and produce prioritized, self-contained implementation plans for OTHER models/agents to execute. Strictly read-only on s40Kskills.sh installs
4obra avatarsystematic-debuggingobra/superpowersUse when encountering any bug, test failure, or unexpected behavior, before proposing fixes326.7Kskills.sh installs
5forrestchang avatarkarpathy-guidelinesforrestchang/andrej-karpathy-skillsBehavioral guidelines to reduce common LLM coding mistakes through explicit assumptions, simplicity, and verifiable success criteria.17.9Kskills.sh installs
6vercel-labs avatarfind-skillsvercel-labs/skillsHelps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express int4.3Mskills.sh installs