vcp-context

Inject VCP security and architecture standards into the AI coding context.

14|3|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/Z-M-Huang/vcp --skill vcp-context
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vcp-context
Source: https://github.com/Z-M-Huang/vcp/tree/main/plugins/vcp/skills/vcp-context
Command: npx skills add https://github.com/Z-M-Huang/vcp --skill vcp-context

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Injects VCP security and architecture standards into the AI context to ensure safe and compliant code generation from the start.

Core Features & Use Cases

  • Load and embed VCP rule summaries into the AI context so you write code that adheres to organizational standards.
  • Activate at session start or after context compaction to reinforce rules during iterative coding sessions across projects.
  • Validate project configuration, enforce safe pluginRoot constraints, and trigger the context generation workflow for consistent results.

Quick Start

Run the context generator to load VCP rules into your project's AI context at startup.

Frequently Asked Questions about vcp-context

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

FAQPage Schema
How do I inject security and architecture standards into AI context for code generation?

Context injection applies VCP security and architecture standards at session start or after context compaction. This ensures rules are internalized during code generation across projects.

When do I need to re-inject VCP standards during an iterative coding session?

Re-inject VCP standards after context compaction occurs. Reapplying the rules restores the architecture constraints within the AI context, maintaining safe code generation throughout long sessions.

Can I validate project configuration and enforce safe pluginRoot constraints before generating code?

The workflow validates project configuration and enforces safe pluginRoot constraints before executing the context generation script.

What is the best way to ensure AI-generated code complies with organizational security rules?

The best way to ensure compliance is embedding VCP rule summaries into the AI context at startup. Validating configuration and enforcing safe constraints guarantees standardized code generation across projects.

Does context injection work across multiple projects or only within a single repository?

Context injection works across projects by validating each project's configuration independently. It enforces safe pluginRoot constraints and triggers the generation script to produce consistent VCP context everywhere.