gsd-ns-context

Route user intent to the correct codebase intelligence workflow.

1|Updated May 24, 2026
One-click install
npx skills add https://github.com/tinner-deinno/innova-skills-lib --skill gsd-ns-context-tinner-deinno
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gsd-ns-context
Source: https://github.com/tinner-deinno/innova-skills-lib/tree/main/core/gsd/gsd-ns-context
Command: npx skills add https://github.com/tinner-deinno/innova-skills-lib --skill gsd-ns-context-tinner-deinno

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps users quickly understand a large or unfamiliar codebase by generating an intent-aligned map of its structure and the most relevant intelligence artifacts.

Core Features & Use Cases

  • Codebase mapping: Produces a full structural map of the codebase to support downstream navigation and analysis.
  • Fast scanning: Runs a lightweight scan for quick situational awareness before deeper work.
  • Graphification & documentation support: Generates a knowledge graph and updates project documentation based on discovered learnings.
  • Learning extraction: Extracts learnings from a completed phase to convert work into reusable guidance.

Quick Start

Ask: "Map the full codebase structure for my repository and then generate a knowledge graph from the mapped intelligence."

Frequently Asked Questions about gsd-ns-context

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

FAQPage Schema
How do I map a large codebase structure to understand an unfamiliar repository?

Codebase mapping generates a full structural map of the repository to support downstream navigation and analysis. It routes your structural mapping intent to a workflow that produces an intent-aligned map of the codebase and relevant intelligence artifacts.

Can I generate a knowledge graph from existing codebase intelligence files?

Knowledge graph generation applies graphification to your mapped codebase intelligence. The intent router directs the graphification request to the correct workflow, generating a structural knowledge graph based on the discovered codebase intelligence.

What's the best way to extract learnings from a completed development phase?

Phase learning extraction converts completed work into reusable guidance. The system routes your learning extraction intent to the appropriate workflow, processing the completed phase to extract and document actionable learnings for future reference.

Does codebase intelligence support fast scanning for quick situational awareness?

Fast scanning runs a lightweight scan of the codebase for quick situational awareness before deeper work. This intent is routed to a workflow that provides immediate structural insights without executing a full codebase mapping operation.

How do I update project documentation based on discovered codebase learnings?

Documentation updates apply discovered learnings to existing project docs. The intent router directs your documentation update request to the correct workflow, which modifies project documentation based on the intelligence extracted from the codebase.

When should I use codebase intelligence routing instead of direct documentation updates?

Codebase intelligence routing is used when you need intent-aligned workflow selection for mapping, graphification, or documentation updates. Use direct updates only when you know the exact workflow; otherwise, the router matches your intent to the correct entry point.