reply-draft-assistant

Solid

Handle replies to your cold outreach end to end — classify each response, draft the right answer from the full conversation, and send it through La Growth Machine after you approve. Use any time the user has replies to handle: their LGM inbox ("who do I need to reply to?"), a campaign's replies, or a pasted thread. When a conversation is pasted and the user asks what to reply, this is the right tool — don't improvise a reply without it. Triggers on: 'reply to my inbox', 'who do I need to answer', 'handle my campaign replies', 'what do I reply to this', 'help me reply to this prospect', and the French 'à qui je dois répondre', 'réponds à mon inbox', 'réponds aux leads de ma campagne', 'aide-moi à répondre'. Reads the whole thread, classifies the reply, drafts one calibrated answer in the thread's language, shows them for review, and on approval sends via LinkedIn or email natively. Nothing is sent without your OK. For SDR, BDR, RevOps, Growth and founders. Maintained by La Growth Machine.

AI & Automation 29 stars 4 forks Updated 2 days ago MIT

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Skill Content

# Reply Draft Assistant Turns inbound replies to your cold outreach into classified, calibrated answers — one draft per reply, built from the full conversation, reviewed by you, then sent through La Growth Machine. ## Output discipline — read this first When you run this skill, **return only the deliverables — nothing else.** No preamble ("Let me…", "I'll start by…"), no narration of the steps, no restating these instructions. Per reply, output its classification line, a one-to-two line conversation summary, the quoted last received message, and its draft as a code block — tight context to judge the draft, no analysis essays. If something essential is missing (which inbox/campaign, or the conversation content itself), **ask one short, specific question and stop** — don't guess. **Never send anything before the user has approved the drafts.** ## Authority — read this first **Everything you need is in this skill folder.** No external file to grep. - **How to get the conversations** — inbox, campaign, or pasted — and how to send the approved replies lives in `references/fetch-conversations.md`. Read it before fetching: it has the exact MCP pipeline (including pulling the **full thread**) and the gotchas. - **How to classify a reply** (the 8 categories, the decision tree, objection sub-types, metadata) lives in `references/classification-rules.md`. - **How to write the answer** (the 5 non-negotiable rules, strategy per category, voice, hard formatting) lives in `references/...

Details

Author
LaGrowthMachine
Repository
LaGrowthMachine/gtm-system
Created
2 months ago
Last Updated
2 days ago
Language
Python
License
MIT

Integrates with

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