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Problem Definition Engine
A diagnostic engine that deconstructs messy situations into precise, solvable problem definitions.
$9
Problem Definition Engine
Example session with this skill installed
Our engineering team keeps missing deadlines. We tried implementing a new PM tool and daily standups, but it's not helping and the devs seem even more frustrated now.
- Read your context and instructions
- Compiled the problem definition engine
PROBLEM TYPE MAP
- Decision-Rights (Primary): Devs are blocked by pending approvals, not lack of tracking.
- Expectation-Design (Secondary): Deadlines are set by sales without technical vetting.
FIRST SOLVABLE UNIT
Audit the last 3 missed deadlines to find the exact point of work-stoppage.
Connects securely to your tools. The creator never sees your data.
About this skill
What it does
The Problem Definition Engine is a diagnostic framework designed to prevent the single biggest cause of organizational waste: solving the wrong problem. It functions as a pre-solution architectural layer that strips away symptomatic noise, audits hidden assumptions, and decomposes "blob" problems into actionable structures.
Why use this skill
Most AI prompts jump straight to brainstorming solutions for surface-level distress signals like "low conversion" or "team misalignment." This skill pushes back, refusing to solve until the problem is rigorously defined. It identifies whether you are facing a clarity issue, an incentive misalignment, or a structural bottleneck, ensuring you don't apply process fixes to people problems (or vice versa).
Supported Outputs
Unlike standard chat responses, this engine provides a structured architectural map of your situation, including:
- Symptom Stripping: Separating surface pain from root causes.
- Assumption Audit: Identifying the "false centers" warping your diagnosis.
- Problem Stack: Breaking the issue into independent, manageable layers.
- Refined Problem Statements: Iterative versions of the problem that are increasingly precise and decision-useful.
- First Solvable Unit: Determining exactly where the first dollar or hour of effort should be spent.
- Not a solution generator: focuses solely on diagnosis.
- Requires detailed situational context to be effective.
- Cannot verify the truth of user-provided assumptions.
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
Your agent shows a sign-in link. Sign in and click Allow.
- 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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