story-scan

Analyze codebases to map structures, detect stacks, and extract implementation examples.

2|Updated Dec 21, 2025
One-click install
npx skills add https://github.com/telum-ai/speck --skill story-scan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: story-scan
Source: https://github.com/telum-ai/speck/tree/main/.cursor/skills/story-scan
Command: npx skills add https://github.com/telum-ai/speck --skill story-scan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps developers by deeply analyzing an existing codebase to find specific, real-world implementations relevant to the current story, ensuring technical designs are informed by actual code.

Core Features & Use Cases

  • Codebase Analysis: Scans directories to identify patterns, technologies, and existing solutions.
  • Reference Implementation Discovery: Finds and extracts code examples for similar features.
  • Conflict Detection: Flags potential naming or route conflicts with existing code.
  • Use Case: Before implementing a new user authentication flow, use this Skill to find out exactly how authentication was handled in previous parts of the codebase, providing concrete examples to adapt.

Quick Start

Analyze the current project's codebase to find specific implementation examples for the user profile feature.

Frequently Asked Questions about story-scan

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find reference implementations in an existing codebase for a new feature?

Codebase analysis scans project directories to detect technology stacks and extract code snippets relevant to feature development. It provides high-confidence reference implementations by reading actual source code to guide technical design.

What is the best way to map directory structures and detect technology stacks before implementing a story?

Mapping directory structures and detecting technology stacks is performed by deep codebase analysis to identify implementation patterns. This process extracts real-world code examples to ensure technical designs are informed by existing solutions.

Can I detect naming or route conflicts with existing code before adding a new feature?

Conflict detection flags potential naming or route conflicts with existing code during codebase analysis. This ensures new feature implementations align with current patterns and avoids collisions before development begins.

How do I analyze an existing codebase to guide technical design for a user profile feature?

Analyzing an existing codebase involves scanning for implementation patterns and reference examples for a given story. It maps directory structures and extracts relevant code snippets to provide high-confidence guidance for technical design.

Does code scanning for implementation guidance work without external dependencies?

Code scanning for implementation guidance operates with no external dependencies. It directly reads and analyzes actual source code to find real-world implementations relevant to the current story.