draft-reply
Skill8 starsChanged 5 months agoMITView on GitHub
Draft a reply to an email or SMS you received — pulls the context, writes the response in your tone, shows it for your approval.
6 other projects use a version of this.
Adopted by
Most recently taken up by
- MaguiSella/second-brain-startertheir own version, first seen Nov 8, 2026
- MaximeGaudin/second-brain-startertheir own version, first seen Sep 21, 2026
- priyanshu-arya/LinkedIn_Automationtheir own version, first seen Sep 17, 2026
- Itsme23476/everyday-claude-skillstheir own version, first seen Aug 5, 2026
- composio-community/support-skillstheir own version, first seen Apr 10, 2026
- Joshua-Palamuttam/workbench-templatetheir own version, first seen Mar 7, 2026
Other versions6 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 6
- composio-community/support-skills★ 18same name
- MaximeGaudin/second-brain-starter★ 8same name
- Joshua-Palamuttam/workbench-template★ 3same name
- Itsme23476/everyday-claude-skills★ 1same name
- MaguiSella/second-brain-starter★ 0same name
- priyanshu-arya/LinkedIn_Automation★ 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 repository101 other files it gives its agents.
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- Build Social StrategySkill
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
8 rules. 0 are common, 8 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
8
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 40
If the user pastes a message directly (not from the JSON), use that paste as the source-of-truth and skip the fetch.
- Distinctive: line 44
Before drafting, identify in the inbound:
- Distinctive: line 49
If unclear ("I'm not sure what they're actually asking"), say so to the user and ask for clarification BEFORE drafting:
- Distinctive: line 54
Acknowledge first, then answer: If they raised a concern, name the concern before responding to it.
- Distinctive: line 60
If the inbound has multiple questions, address them in bullet order.
- Distinctive: line 66
Wait for yes/no
- Distinctive: line 73
When you don't know, say so: If they asked "what's the price?" and you don't know, the reply says "Let me confirm and come back to you …
- Distinctive: line 74
Objections and 'no's have doctrine: If the inbound is a price objection or a decline, read business-method.md §9.4 and §12.5 before …
“Common” is measured: kept by at least 6 in 10 of the 6 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
/draft-reply
Replies are higher-stakes than fresh emails — the context already exists, and getting the tone wrong is more obvious. This skill drafts the reply against the actual message that was received, not against a guess.
Step 1 — Find the message being replied to
First, run:
python ~/.claude/bos-run.py draft-reply --hours 48This returns every inbound email + SMS in the window with no reply, ranked (open-opportunity senders first, then by recency). If the user already named someone, filter the list and pick that one. If not, offer the top 3-5 as a numbered list:
"These are the unanswered messages from the last 48h, top first. Reply to #1? Or pick another?"
If the user pastes a message directly (not from the JSON), use that paste as the source-of-truth and skip the fetch.
Step 2 — Read the inbound carefully
Before drafting, identify in the inbound:
- What they're asking — a question, a request, an objection, a confirmation, an emotional venting?
- The emotional register — formal? casual? frustrated? excited?
- Specific details — names, dates, dollar amounts, products mentioned — these must appear in the reply.
If unclear ("I'm not sure what they're actually asking"), say so to the user and ask for clarification BEFORE drafting:
"I'm reading this as a request for [X] — is that right, or are they actually asking [Y]?"
Step 3 — Draft the reply
- Acknowledge first, then answer. If they raised a concern, name the concern before responding to it. ("Totally hear you on the timing — here's what we can do…")
- Match their tone. They were casual? Be casual back. They were formal? Don't get matey.
- Answer the question they asked, not a question you wish they'd asked. If they asked "is it $5k or $7k?" the reply leads with the number, not with how the pricing works.
- One next step. Like /send-email, end with one clear ask.
- No fake enthusiasm. "Great question!" / "Love this!" / "So excited to hear from you!" — banned.
If the inbound has multiple questions, address them in bullet order. Keep the same structure they used so the reply maps obviously to their email.
Step 4 — Show + send
Same approval flow as /send-email:
- Show the proposed reply (subject = same as inbound prepended with "Re:", or just the SMS body)
- Wait for yes/no
- On yes:
mcp__trustpager__reply_to_email(for email) ormcp__trustpager__send_sms(for SMS) - On no: ask what to change. Common edits: "more direct", "less formal", "shorter", "include the dollar number".
Important behaviours
- Content guardrails. Customer-facing copy uses no em dashes, invents no facts, quotes, or numbers, and names no third-party vendor. Write it in the owner's brand voice; the framing and the marketing psychology are the owner's choice. The rules are in
knowledge/content-rules.md. The register for these messages isknowledge/communication-voice.md: plain, warm, short. - When you don't know, say so. If they asked "what's the price?" and you don't know, the reply says "Let me confirm and come back to you today."
- Objections and 'no's have doctrine. If the inbound is a price objection or a decline, read business-method.md §9.4 and §12.5 before drafting: never offer the same thing cheaper; a genuine alternative changes scope or payment shape. Restate their concern in the reply before answering it.
- Threading matters. Email replies must use
reply_to_email(preserves the thread), notsend_emailto the same address (breaks threading). - CCs in the reply. Preserve the inbound's CC list unless the user removes one. Don't silently drop CCs.
- The user is the final filter. Even after edits, every send is approved.
Output shape
"Replied to {sender} on '{subject}' — logged on {opp_name if linked}."
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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