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
- github/awesome-copilottheir own version, first seen Oct 25, 2026
- genspark-ai/genofficetheir own version, first seen Oct 25, 2026
- schuligan/claude-skills-collectiontheir own version, first seen Oct 13, 2026
- blair-keck/claude-skillstheir own version, first seen Oct 13, 2026
- Hassaan146/claude-skillstheir own version, first seen Jul 25, 2026
- ReaperOAK/ForgeOStheir own version, first seen Jun 8, 2026
Other versions9 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 9
- github/awesome-copilot★ 41ksame name
- genspark-ai/genoffice★ 12ksame name
- claude-office-skills/skills★ 433same name
- Hassaan146/claude-skills★ 18same name
- xcrrr/claude-skills★ 6same name
- blair-keck/claude-skills★ 0same name
- pb-jwhitlock/claude-skills★ 0same name
- ReaperOAK/ForgeOS★ 0same name
- schuligan/claude-skills-collection★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository100 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- notion-package/CLAUDE.mdCLAUDE.md
- llms.txtllms.txt
- add-handsSkill
- add-mouthSkill
- add-voiceSkill
- approval-gatesSkill
- auditSkill
- backupSkill
- blind-spot-reviewSkill
- bottleneck-diagnosticSkill
- brain-logSkill
- brain-passSkill
- brain-snapshotSkill
- brand-interviewSkill
- brand-voice-interviewSkill
- business-context-loaderSkill
- campaign-from-themeSkill
- capture-sweepSkill
- catch-upSkill
- client-updateSkill
- connectSkill
- content-repurposerSkill
- content-startSkill
- context-persistenceSkill
- cross-linkSkill
- data-securitySkill
- decision-frameworkSkill
- decisions-startSkill
- delivery-startSkill
- employee-reviewSkill
- finance-importSkill
- forcing-questionsSkill
- founder-coachingSkill
- founder-next-moveSkill
- founder-os-setupSkill
- founder-reviewSkill
- founder-scope-challengeSkill
- github-opsSkill
- handoff-protocolSkill
- hireSkill
- historySkill
- housekeepingSkill
- ingestSkill
- knowledge-captureSkill
- legal-complianceSkill
- linkedin-brand-directionSkill
- linkedin-network-scanSkill
- linkedin-postSkill
- linkedin-power-auditSkill
- linkedin-startSkill
- linkedin-warm-revivalSkill
- lintSkill
- list-prunerSkill
- log-archiveSkill
- log-replySkill
- meeting-prepSkill
- memory-passSkill
- menuSkill
- The first 60 shown.
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
- Very specific: line 23
If using operator voice, run: python scripts/check-voice-ready.py If using brand voice, run: python scripts/check-brand-voice-ready.py …
- Very specific: line 24
If using brand voice, run: python scripts/check-brand-voice-ready.py --brand <slug> If neither operator nor brand voice is explicitly …
- Very specific: line 25
If neither operator nor brand voice is explicitly named, default to operator voice and run python scripts/check-voice-ready.py.
- Distinctive: line 27
If exit code is 1, read the output line and surface it to the user verbatim.
- Very specific: line 29
If the user explicitly chooses to proceed with defaults after seeing that message, draft the email using the universal anti-AI baseline …
- Distinctive: line 33
After producing a draft and before returning it, run the anti-examples filter:
- Very specific: line 35
Read the anti_examples.pairs block in core/voice-profile.yml.
- Very specific: line 37
If a line matches, rewrite it using the good: pattern as the model and the rule: line as the constraint.
- Distinctive: line 41
Do not surface this filter to the user as a separate step.
- Very specific: line 49
Read stack.json. The email_platform field is one of gmail, outlook, apple_mail, or null.
- Distinctive: line 55
Do not hardcode "Gmail" in instructions to the user.
- Distinctive: line 59
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 …
- Distinctive: line 61
One email, one ask: If you need three things, make the most important one the clear ask.
- Very specific: line 67
Sign off simply: Use the founder's first name from core/identity.md.
- Distinctive: line 74
No inspirational quotes in signatures.
- Distinctive: line 111
Use simple hyphens (-) not em dashes or en dashes
- Distinctive: line 114
No bullet points in emails unless listing 3+ specific items
- Distinctive: line 116
No emoji unless the relationship is very casual and the user asks for it
- Distinctive: line 120
If the user gives you a vague "write an email to X", ask:
- Distinctive: line 125
If the user gives you enough context, just write it.
“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.
Files
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:
- Read the
anti_examples.pairsblock incore/voice-profile.yml. - 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). - If a line matches, rewrite it using the
good:pattern as the model and therule:line as the constraint. - Also reject any line that uses an
aesthetic_crimesphrase or ared_flagspattern. - 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_mailornull: 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
- Acknowledge the specific thing they said (not generic "thanks for your email")
- Answer their question or address their point directly
- State your next step or ask
- Close
Cold Outreach
- One line that shows you know who they are (specific, not flattery)
- Why you're reaching out (the value proposition, not about you)
- One clear ask (a call, a reply, a look at something)
- Close
Client Update
- Status in one sentence
- What changed or what's new
- What you need from them (if anything)
- Timeline for next touchpoint
Follow-up
- Reference the last interaction specifically
- New information or the thing you promised
- Next step
- Close
Difficult Conversations (delays, scope changes, bad news)
- State the situation directly - no softening preamble
- What happened and why (briefly)
- What you're doing about it
- What you need from them
- 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:
- What's the context? (Who is this person, what's the relationship?)
- What's the goal? (What do you want them to do after reading this?)
- 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."
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