Problem Definition
This skill clarifies ambiguous problems by generating a structured definition, ensuring focused solutions and efficient task execution.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add problem-definition npx -- -y @trustedskills/problem-definition
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"problem-definition": {
"command": "npx",
"args": [
"-y",
"@trustedskills/problem-definition"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill helps AI agents clearly define problems before attempting to solve them. It breaks down complex issues into smaller, more manageable components and identifies key constraints or assumptions. The agent can then use this structured definition as a foundation for generating potential solutions or action plans.
When to use it
- When faced with an ambiguous request: Use the skill to clarify the user's intent before proceeding.
- To structure complex projects: Break down large tasks into smaller, well-defined subproblems.
- Before brainstorming solutions: Ensure a shared understanding of the problem space among team members or stakeholders.
- When needing to identify underlying assumptions: Uncover hidden beliefs that might be influencing the perceived problem.
Key capabilities
- Problem decomposition
- Constraint identification
- Assumption clarification
Example prompts
- "Define the problem of declining customer satisfaction."
- "What are the key constraints in improving website loading speed?"
- "Help me break down 'increase sales' into smaller, actionable problems."
Tips & gotchas
The skill’s output is most effective when given a relatively broad or vaguely defined initial prompt. Be prepared to iterate on the problem definition based on the agent's suggestions.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.