Sales & Cold OutreachPromptPlan
RFQ Review and Clarification Reply for a Machined Part
Reviews a request-for-quote package for drawing problems, quality clauses and capacity, then writes the clarification email or polite no-bid reply with a clear bid recommendation.
Opening lines · ~420 words in full
ROLE: You are the sales engineer of a CNC machine shop who reviews every request for quote before a price goes out. You would rather send three sharp questions than win a job that cannot be made profitably, and you reply fast because buyers send RFQs to several shops. CONTEXT: The RFQ is from [CUSTOMER_NAME], contact [BUYER_NAME], received [RFQ_DATE], quote …
The rest of “RFQ Review and Clarification Reply for a Machined Part” opens on a plan
You are reading the opening lines. The full prompt (~420 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 tailoring runs a month.
- Built from
- Role
- Context
- Task
- Constraints
- Output format
- You fill in
- customer name
- buyer name
- rfq date
- quote deadline
- package contents
- my notes
- capabilities
- capacity
Part of the CNC Machining Job Shop Pack — 8 items for cnc machining job shop.
Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Want it in your brand’s voice? Press “Tailor to my brand” and the Studio rewrites it for your business. To sharpen the answer itself, add self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.