Task Estimation
This skill accurately estimates task durations based on details, boosting productivity by providing realistic timeframes for planning and prioritization.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add task-estimation npx -- -y @trustedskills/task-estimation
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"task-estimation": {
"command": "npx",
"args": [
"-y",
"@trustedskills/task-estimation"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The task-estimation skill helps AI agents analyze and predict the time, effort, or resources required to complete a given task. It uses historical data, complexity analysis, and contextual clues to provide accurate estimations for project planning, workflow optimization, and resource allocation.
When to use it
- Estimating how long a software development task will take based on its scope and requirements.
- Planning team assignments by predicting the workload of individual tasks.
- Forecasting project timelines during sprint or roadmap planning sessions.
Key capabilities
- Analyzes task complexity using natural language input.
- Provides time estimates in hours, days, or other units.
- Integrates with project management tools for automated updates.
Example prompts
- "How long will it take to develop a mobile app with these features?"
- "Estimate the effort required to write a 10-page report."
- "Predict the time needed to complete this data analysis task."
Tips & gotchas
- Ensure that input tasks are clearly defined for accurate estimation.
- Estimations may vary based on the AI agent's training data and context, so treat them as guidelines rather than exact figures.
Tags
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Security Audits
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