estimate-stories
CommunityStructured story point estimation for planning.
AuthorAcidicSoil
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Story point estimation is often subjective and inconsistent; this skill provides a structured method to convert backlog item details into a reproducible numeric score, improving planning accuracy.
Core Features & Use Cases
- Structured formula: Story Points = (Complexity × Effort) + Risk
- Explicit inputs: Complexity (1-5), Effort (1-5), and Risk (0-3) per story
- Rationale documentation: Automatically records estimation reasoning for calibration and audit trails
- Primary use cases: backlog grooming, sprint planning, velocity forecasting, and cross-team estimation comparisons
Quick Start
Provide a story context file or summary and set the initial Complexity, Effort, and Risk values to compute points.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: estimate-stories Download link: https://github.com/AcidicSoil/lms-llmsTxt/archive/main.zip#estimate-stories Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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