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exploration

Analyze a problem space and generate a briefing with open questions.

Updated Aug 23, 2026
Search Tags:#codebase#requirements#discovery#exploration#questions#problem-analysis
One-click install
npx skills add https://github.com/jbrowning24/NestCheck --skill exploration-jbrowning24
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: exploration
Source: https://github.com/jbrowning24/NestCheck/tree/main/.agents/skills/exploration
Command: npx skills add https://github.com/jbrowning24/NestCheck --skill exploration-jbrowning24

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill ensures a deep, shared understanding of a problem space before any planning or coding begins, reducing misalignment and wasted effort.

Core Features & Use Cases

  • Deep-dive problem analysis: understand user needs, constraints, and success criteria before writing plans.
  • Codebase/context mapping: quickly surface relevant parts of the project and dependencies to inform decisions.
  • Risk and question surface: generate targeted questions and flag ambiguities to resolve upfront.

Quick Start

Summarize the user's goal, surface critical questions and risks, and outline needed context before any planning begins.

Frequently Asked Questions about exploration

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

FAQPage Schema
What is problem space exploration in software engineering?▼

Codebase discovery involves mapping relevant project components and dependencies to inform design decisions. It surfaces critical risks and ambiguities early, ensuring developers understand constraints and success criteria before writing code.

How do I analyze a codebase before planning a new feature?▼

Analyze a codebase before feature planning by mapping relevant project components and surfacing dependencies. This structured discovery generates a concise briefing with targeted questions to guide implementation steps.

When should I do discovery and problem-analysis before coding?▼

Conduct discovery and problem-analysis when a feature, bug, or idea requires deep understanding prior to design. This disciplined workflow prevents costly rework by resolving ambiguities and surfacing risks upfront.

Does deep problem analysis work for fixing bugs or only for new features?▼

Deep problem analysis works for both new features and bugs. It applies whenever an idea requires structured understanding prior to design, mapping the codebase to surface dependencies and generate targeted open questions.

What is the best way to prevent misalignment and costly rework in software projects?▼

Prevent misalignment and rework by exploring the problem space before coding. This involves analyzing the codebase, surfacing risks, and generating a concise briefing with open questions to guide next steps.

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