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Web Design Client Brief Discovery Architect
Convert messy client notes and RFPs into structured requirements, risk audits, and discovery plans.
$6
Web Design Client Brief Discovery Architect
Example session with this skill installed
Analyze these notes from a discovery call for a new ecommerce site for "GreenLeaf Tools": They want it to feel "premium," use Shopify, but maybe headless? Budget is $20k. Launch in 6 weeks.
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- Compiled the web design client
I have analyzed the discovery notes for GreenLeaf Tools. The project has significant architectural uncertainty regarding the headless vs. native Shopify approach and a high-risk timeline relative to the budget.
Project Discovery Analysis
| Requirement | Source | Status | Priority | Evidence/Notes | Follow-up |
|---|---|---|---|---|---|
| Shopify Platform | Call Notes | Confirmed | Critical | "use Shopify" | Confirm version/tier |
| Headless Architecture | Call Notes | Assumption | High | "maybe headless?" | Verify technical driver |
| Premium Aesthetic | Call Notes | Client Pref | Medium | "feel premium" | Define visual benchmarks |
| $20k Budget | Call Notes | Confirmed | Critical | "Budget is $20k" | None |
| 6-Week Launch | Call Notes | Confirmed | Critical | "Launch in 6 weeks" | Identify MVP scope |
Scope Readiness Score: 28/100
Interpretation: High Risk. The project is not ready for a fixed-price quote.
- Technical Clarity (2/10): Headless vs. Liquid significantly changes the build effort.
- Timeline Clarity (1/5): 6 weeks is extremely aggressive for a headless build without a defined MVP.
- Functional Clarity (5/15): No mention of SKU count, integrations, or shipping complexity.
Discovery Blockers
B-01: Architectural Choice. Headless vs. Standard Shopify. Prevents accurate estimation and stack selection. Owner: CTO/Lead Dev.
B-02: Feature List. No SKU count or data migration needs provided. Prevents timeline validation. Owner: Project Sponsor.
Next steps
- Send the prioritized questions regarding headless requirements to the technical lead.
- Request a full SKU export to validate the content migration effort.
- Schedule a scope-culling session to align the 6-week deadline with the $20k budget.
Connects securely to your tools. The creator never sees your data.
About this skill
Stop quoting projects based on vague emails and messy discovery notes. This skill analyzes raw client input—transcripts, RFPs, and emails—to build a structured intelligence package before you commit to a scope or price. It identifies what you actually know versus what the client merely prefers, flags contradictions that will derail your timeline, and calculates a readiness score so you know if you are walking into a trap.
What it does
- Requirement extraction separates verified facts from client preferences, assumptions, and risks.
- Contradiction mapping highlights conflicting stakeholder requests and identifies who must resolve them.
- Readiness scoring calculates a 0-100 grade for project clarity across ten technical and business dimensions.
- Discovery blocking flags missing information that prevents accurate estimation or architectural decisions.
- Strategic translation converts vague terms like "modern" or "simple" into specific technical clarification questions.
How it works
- Input analysis involves pasting raw notes, RFP text, or discovery transcripts into the prompt.
- Package generation produces the full Discovery Brief, Requirements Matrix, and Scope Readiness Score.
- Refinement allows you to request specific "modes" such as just the follow-up interview questions or the decision log.
Frameworks & tools
Works with any web project workflow including React, Next.js, Shopify, WordPress, or custom web apps. It uses a proprietary discovery framework to audit IA, SEO, UX, and functional requirements.
Why this beats prompting it yourself
Generic prompts often hallucinate missing details to make a brief look "complete." This skill is hard-coded to never invent data, instead flagging unknowns as blockers to protect your margins and timeline.
Use cases
- Pre-proposal auditing to find hidden technical risks before sending a fixed-price quote.
- Stakeholder alignment to document conflicting requirements from different client departments.
- RFP decomposition to turn a 50-page document into a lean requirements matrix and question list.
- Discovery calls to generate a prioritized list of questions that actually impact project architecture.
Known limitations
Does not produce visual designs, code, or final cost estimates. It requires at least a baseline project description to provide meaningful analysis beyond a snapshot.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
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- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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