agentleFS
ARCASSystemsARCASSystems/FounderOS/skills/email-drafter/SKILL.md

email-drafter

Skill7 starsChanged 19 days agoMITView on GitHub

Draft an email in the founder's voice. Trigger on "write an email", "draft a reply", "send a message", "follow up with", "reach out to", "respond to this email", "compose an email", or any variation. Also fires when the user pastes email content and asks for a response, or when they describe a situation that clearly needs an email. Covers client emails, partnership outreach, investor updates, team communications, cold outreach, and personal correspondence. Reads `core/voice-profile.yml`.

9 other projects use a version of this.

Adopted by

Most recently taken up by

The file

Show its rules and text

We split this skill into the rules it gives an agent

20 rules. 0 are common, 12 are distinctive, and 8 are very specific to this project.

  • 0

    Common

    Most of the 9 edited versions we read keep these.

  • 12

    Distinctive

    This author's own choices. Worth a look.

  • 8

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    If using operator voice, run: python scripts/check-voice-ready.py If using brand voice, run: python scripts/check-brand-voice-ready.py …

    line 23
  2. Very specific:

    If using brand voice, run: python scripts/check-brand-voice-ready.py --brand <slug> If neither operator nor brand voice is explicitly …

    line 24
  3. Very specific:

    If neither operator nor brand voice is explicitly named, default to operator voice and run python scripts/check-voice-ready.py.

    line 25
  4. Distinctive:

    If exit code is 1, read the output line and surface it to the user verbatim.

    line 27
  5. Very specific:

    If the user explicitly chooses to proceed with defaults after seeing that message, draft the email using the universal anti-AI baseline …

    line 29
  6. Distinctive:

    After producing a draft and before returning it, run the anti-examples filter:

    line 33
  7. Very specific:

    Read the anti_examples.pairs block in core/voice-profile.yml.

    line 35
  8. Very specific:

    If a line matches, rewrite it using the good: pattern as the model and the rule: line as the constraint.

    line 37
  9. Distinctive:

    Do not surface this filter to the user as a separate step.

    line 41
  10. Very specific:

    Read stack.json. The email_platform field is one of gmail, outlook, apple_mail, or null.

    line 49
  11. Distinctive:

    Do not hardcode "Gmail" in instructions to the user.

    line 55
  12. Distinctive:

    Lead with the point: No warm-up paragraphs. No "I hope this email finds you well." No "I wanted to reach out regarding." Just say why …

    line 59
  13. Distinctive:

    One email, one ask: If you need three things, make the most important one the clear ask.

    line 61
  14. Very specific:

    Sign off simply: Use the founder's first name from core/identity.md.

    line 67
  15. Distinctive:

    No inspirational quotes in signatures.

    line 74
  16. Distinctive:

    Use simple hyphens (-) not em dashes or en dashes

    line 111
  17. Distinctive:

    No bullet points in emails unless listing 3+ specific items

    line 114
  18. Distinctive:

    No emoji unless the relationship is very casual and the user asks for it

    line 116
  19. Distinctive:

    If the user gives you a vague "write an email to X", ask:

    line 120
  20. Distinctive:

    If the user gives you enough context, just write it.

    line 125

“Common” is measured: kept by at least 6 in 10 of the 9 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Email Drafter

Runs on: reasoning - reads your files and reasons; any capable agent can run this.

Apply the voice and writing rules from core/identity.md, rules/writing-style.md, and core/voice-profile.yml (via the your-voice skill). Emails are conversations, not content pieces. The anti-AI self-check is relaxed here, but the voice rules still apply.

Voice routing (operator or brand?)

Apply the routing rules in skills/your-voice/SKILL.md "Voice routing - operator or brand?" section. Default to operator voice for personal emails. If the user names a brand they run (e.g. "draft an email from <brand> to a customer"), use brand voice from brands/<slug>/voice.yml.

Voice profile

If using operator voice, run: python scripts/check-voice-ready.py If using brand voice, run: python scripts/check-brand-voice-ready.py --brand <slug> If neither operator nor brand voice is explicitly named, default to operator voice and run python scripts/check-voice-ready.py. Stop on exit code 1.

If exit code is 1, read the output line and surface it to the user verbatim. Do not produce any draft. Stop.

If the user explicitly chooses to proceed with defaults after seeing that message, draft the email using the universal anti-AI baseline from your-voice and clearly label that the voice profile was not applied. Do not pretend the email is voice-coupled.

Then read the chosen voice profile so the rest of this skill can apply it.

After producing a draft and before returning it, run the anti-examples filter:

  1. Read the anti_examples.pairs block in core/voice-profile.yml.
  2. For each line in your draft, scan for matches against any bad: pattern (literal substrings, structural markers like negation-contrast, or rule-of-three lists).
  3. If a line matches, rewrite it using the good: pattern as the model and the rule: line as the constraint.
  4. Also reject any line that uses an aesthetic_crimes phrase or a red_flags pattern.
  5. Return the cleaned draft.

Do not surface this filter to the user as a separate step. The user sees only the cleaned draft.

Runtime context

Before drafting, read brain/.snapshot.md. If it is missing, or its date: line is more than 3 days old, run python scripts/brain-snapshot.py --write first and read the fresh one - a stale snapshot read as current presents last week's flags and must-dos as today's, which is worse than no memory at all. If Python is unavailable, proceed without it and say so. Use the open-flags block to avoid topics that contradict current operator stance. Use the must-do block to lean the draft toward what the operator is actively working on. Use the voice and brand blocks (if present) to set tone. The freshness check above is not optional: skipping the regeneration and reading a week-old snapshot is the one way this block makes output worse.

Stack-aware sending

Read stack.json. The email_platform field is one of gmail, outlook, apple_mail, or null.

  • gmail: if a Gmail MCP is connected, offer to read the inbound thread for context. Otherwise ask the user to paste the prior message.
  • outlook: same pattern via Outlook MCP. Do not assume Gmail.
  • apple_mail or null: prompt the user to paste the prior message. No MCP integration available.

Do not hardcode "Gmail" in instructions to the user. Mirror their actual platform.

Core Principles

Lead with the point. No warm-up paragraphs. No "I hope this email finds you well." No "I wanted to reach out regarding." Just say why you're writing in the first sentence.

One email, one ask. If you need three things, make the most important one the clear ask. The others can be mentioned but don't bury multiple action items in prose.

Write short. Most emails should be 3-8 sentences. If it's longer than a screen, it should probably be a meeting or a doc.

No money ask before permission. A draft that asks a buyer for money (a price, a deposit, a pre-order, an order, a payment link, an agreement to pay later, or holding a date, a slot, an appointment or a box for them, with or without a price) needs the founder to know they may take money for this activity where they sell. If their files and this conversation do not show it (a licence or permit that covers the activity, or a business already licensed to sell it), ask once before drafting the money ask, and draft the interest ask meanwhile (a reply, a call to talk about the problem, their details to hear when it is ready). Earlier sales to friends are not that permission. This repeats the founder safety rule in CLAUDE.md for surfaces where that file is not loaded.

Sign off simply. Use the founder's first name from core/identity.md. For first-contact or formal situations, use a full block:

[Founder Name]
[Title] - [Company]

No inspirational quotes in signatures. No "sent from my iPhone" disclaimers.

Email Types and Structure

Reply to an Email

  1. Acknowledge the specific thing they said (not generic "thanks for your email")
  2. Answer their question or address their point directly
  3. State your next step or ask
  4. Close

Cold Outreach

  1. One line that shows you know who they are (specific, not flattery)
  2. Why you're reaching out (the value proposition, not about you)
  3. One clear ask (a call, a reply, a look at something)
  4. Close

Client Update

  1. Status in one sentence
  2. What changed or what's new
  3. What you need from them (if anything)
  4. Timeline for next touchpoint

Follow-up

  1. Reference the last interaction specifically
  2. New information or the thing you promised
  3. Next step
  4. Close

Difficult Conversations (delays, scope changes, bad news)

  1. State the situation directly - no softening preamble
  2. What happened and why (briefly)
  3. What you're doing about it
  4. What you need from them
  5. Close with commitment, not apology

Formatting Rules

  • Use simple hyphens (-) not em dashes or en dashes
  • Contractions always ("don't" not "do not")
  • Short paragraphs, often single sentences
  • No bullet points in emails unless listing 3+ specific items
  • Bold sparingly - only for dates, deadlines, or critical action items
  • No emoji unless the relationship is very casual and the user asks for it

What to Ask the User

If the user gives you a vague "write an email to X", ask:

  1. What's the context? (Who is this person, what's the relationship?)
  2. What's the goal? (What do you want them to do after reading this?)
  3. Any specific details to include?

If the user gives you enough context, just write it. Don't over-ask.

Examples

Bad (AI email): "I hope this email finds you well. I wanted to reach out to discuss the potential for collaboration between our organizations. I believe there could be significant synergies..."

Good: "Ahmed - saw your post about the ops bottleneck at scale. We solved something similar for a 40-person services company in Abu Dhabi last quarter. Worth a 15-minute call? I can share what worked."

Bad (AI follow-up): "I hope you're doing well. I'm following up on our previous conversation regarding the proposal I sent over. Please let me know if you have any questions or concerns."

Good: "Quick follow-up on the proposal from Tuesday. Two things changed since we spoke - updated the timeline on the systems audit and added the team structure review you mentioned. Let me know if you want to walk through it."

Download now (ZIP)

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.