agentleFS
tidycatc132tidycatc132/claude-skills/skills/welcome-email/SKILL.md

welcome-email

Skill0 starsChanged 37 days agoNo licenceView on GitHub

Writes the Week 1 welcome email a WISE Account Manager sends a new website client right after kickoff. Use when the AM asks for the welcome email, Day 1 client email or the intake-form email, once the kickoff files exist (kickoff/[slug]/ context and AM-reviewed gap questions). Reads those files and the links the AM gives (intake form, Kickoff Call booking page), and writes welcome-email/[slug]/[slug]-welcome-email.md, a ready-to-paste email in WISE's voice, that introduces the AM, links the intake form, lists only the gap questions still unanswered, and explains what happens in Week 1. Do NOT use for the kickoff files or gap questions themselves (use new-build-kickoff), brand and voice files (use client-reference-kit), ClickUp updates (use clickup-progress-sync), merging intake answers into the context (use client-context-update), the Kickoff Call prep brief (use kickoff-call-brief), or the Week 1, 2 and 5 emails (use week-1-client-email, week-2-client-email, week-5-client-email).

4 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.