acquisition reply kit
by Shippers
Solo AI founders are getting unsolicited 'want to buy your company' emails and freezing — no valuation frame, no reply t
Free
Works with the AI tools you already use
See it in action
You say
Here is a transcript: I want to build an agent that scans my emails for invoices and saves them to Dropbox. Or maybe Google Drive. We need this by Friday. Should act like a bookkeeper.
Your agent does
Skill brief: invoice-saver-agent
Trigger: When an invoice is detected in email. Input: Raw email body and attachments. Output: File saved to cloud storage.
Open questions
- Should we use Dropbox or Google Drive? Needed to fill: Output.
About this skill
The problem
Founder brainstorming often happens in stream-of-consciousness voice memos or messy transcripts. Converting these "rambles" into actionable technical specs manually is time-consuming and leads to "hallucinated" requirements where the dev fills in gaps without asking.
What it does
- Analyzes voice transcripts to detect if the user needs a PRD, a Decision Memo, or a Skill Brief.
- Extracts raw signals including nouns, verbs, constraints, and contradictions from unstructured text.
- Maps missing information to
⚠️ not statedmarkers within the document. - Generates a dedicated "Open Questions" block to surface contradictions and blocking unknowns.
- Enforces strict artifact templates to ensure consistency across product documentation.
Why this beats prompting it yourself
Generic prompts often try to "fix" a founder's contradictions, leading to wrong assumptions and wasted dev cycles. This skill is hardcoded to surface contradictions and gaps as explicit questions rather than quietly patching them with AI-generated fluff.
Use cases
- Turn a 5-minute Loom transcript into a structured PRD with clear acceptance criteria.
- Convert a "should we use X or Y" rambling Slack message into a formal Decision Memo.
- Draft a prompt engineering brief for a new agent based on a founder's verbal description.
- Audit a recorded meeting to identify conflicting requirements between stakeholders.
Known limitations
Not intended for client-facing polished docs or task prioritization. It focuses on raw spec-shaping for internal founder-to-developer handoffs.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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