AGENT SKILLBY PRATIKSHADAKE
Problem clarity engine
AT A GLANCE
Problem clarity engine is a general marketing skill for AI agents. Evaluates whether a proposed idea addresses a genuine user problem worth solving. It is published by pratikshadake in the pratikshadake/claude-product-management-skills GitHub repository (30 stars) under the MIT license. Install it with: npx skills add pratikshadake/claude-product-management-skills --skill problem-clarity
- REPO STARS
- SOURCE REPOSITORY
- LICENSE
- MIT
- CATEGORIES
- SKILL.MD SIZE
- 1.2 KB60 LINES
QUICK ANSWER
- WHAT IT IS01
- Evaluates whether a proposed idea addresses a genuine user problem worth solving. Use when assessing new feature ideas, startup concepts, or vague user complaints to determine if the pain justifies building a solution. It stands out by giving problem clarity engine a defined shape, so the agent asks for better context and returns a more usable result.
- INPUTS02
- Context the agent needs: your goals, audience, constraints, and any source material the skill asks for.
- OUTPUT03
- A ready-to-use result: the analysis, copy, or recommendations the agent produces.
INSTALL
One command adds this skill from its source repository.
npx skills add pratikshadake/claude-product-management-skills --skill problem-clarityREAD THE SKILL.MD BELOW BEFORE YOU RUN IT. SKILLS INSTRUCT YOUR AGENT.
SKILL.MD
The full file, as published in the source repository. Copy it, download it or open it on GitHub.
ON THIS PAGE · 14
Problem Clarity Engine#
Purpose#
Determine whether a proposed idea represents a real, meaningful user problem worth solving.
When to Use#
- New feature ideas
- Startup concepts
- Vague user complaints
Steps#
- Identify the target user.
- Describe the current pain or limitation.
- Measure frequency and severity.
- Identify existing workarounds.
- Judge whether the pain is strong enough to justify a solution.
Output#
Target User#
Core Problem#
Evidence of Pain#
Current Workarounds#
Severity Assessment#
High / Medium / Low
Verdict#
Worth Solving / Not Worth Solving
References#
See worked example (opens in a new tab) for a complete scenario.
Supporting file: references/example.md#
Example: Problem Clarity — AI Meeting Notes#
Target User#
Startup founders who attend many Zoom meetings.
Core Problem#
They forget key decisions and action items after meetings.
Evidence of Pain#
- Notes scattered across tools
- Frequent follow-up confusion
- Manual note-taking during calls
Current Workarounds#
- Writing notes manually
- Recording meetings but never revisiting
Severity Assessment#
High
Verdict#
Worth Solving
FAQ
07 QUESTIONS
01What is the Problem clarity engine agent skill?
Evaluates whether a proposed idea addresses a genuine user problem worth solving. Use when assessing new feature ideas, startup concepts, or vague user complaints to determine if the pain justifies building a solution. It is listed under general marketing in the 100xLab agent skills directory.
02How do I install Problem clarity engine in Cursor, Claude Code, or Codex?
Run npx skills add pratikshadake/claude-product-management-skills --skill problem-clarity in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only Problem clarity engine, not every skill in the repository.
03What does the Problem clarity engine SKILL.md cover?
The SKILL.md includes sections on Purpose, When to Use, Steps, Output, Target User and Core Problem. Read the full text on this page or in plain markdown at /resources/agent-skills/pratikshadake-claude-product-management-skills--problem-clarity--wqfyez/raw.
04Which agents can use Problem clarity engine?
Problem clarity engine installs with the cross-agent skills installer (npx skills add), which sets it up for agents such as Claude Code, Cursor and Codex. Each agent loads the SKILL.md when you ask for the skill by name.
05What license is Problem clarity engine under?
The pratikshadake/claude-product-management-skills repository declares the MIT license. Read the license file in the repository before you copy or redistribute the skill.
06Is Problem clarity engine free to use?
Reading, copying and installing Problem clarity engine costs nothing: it is published in a public GitHub repository under the MIT license. Reuse and redistribution follow that license.
07Where is the source of Problem clarity engine?
Problem clarity engine comes from https://github.com/pratikshadake/claude-product-management-skills, which has 30 GitHub stars. The SKILL.md is at https://github.com/pratikshadake/claude-product-management-skills/blob/HEAD/skills/problem-clarity/SKILL.md. The author is pratikshadake.
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ATTRIBUTION
Problem clarity engine was written by its original authors and is published in pratikshadake/claude-product-management-skills (opens GitHub in a new tab) under the MIT license. All rights stay with the original authors.
100xLab did not write, maintain or endorse this skill. This page lists it for discovery. Repo stars belong to the source repository, not to the skill. Review any skill before you install it.