repoprompt-pro-context

Generate a minimal repository context packet for GPT-5.5 Pro analysis.

Updated Apr 25, 2026

Search Tags:#ai-assistant #codebase-analysis #repo-prompt #repository-context #context-builder #gpt-5-5-pro

Ready to run

npx skills add https://github.com/Sailfishc/guanfu --skill repoprompt-pro-context

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: repoprompt-pro-context
Source: https://github.com/Sailfishc/guanfu/tree/main/skills/repoprompt-pro-context
Command: npx skills add https://github.com/Sailfishc/guanfu --skill repoprompt-pro-context

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Repo Prompt Pro Context helps AI teams discover and shape repository context for large codebases, producing a compact, actionable packet so GPT-5.5 Pro can reason effectively without drowning in noise.

Core Features & Use Cases

Context discovery and pruning for multi-file repos to surface only essential files, diffs, and interfaces
Curated repository context reports and handoff prompts tailored for high-reasoning models
Paste-ready GPT-5.5 Pro context prompts that can be fed directly to the agent
Supports multiple task modes (question, debug, plan, review, architecture, test-strategy) to fit different analysis needs

Quick Start

Run the Repo Prompt Context Builder on your repository to generate a minimal, paste-ready context packet for GPT-5.5 Pro.

Frequently Asked Questions about repoprompt-pro-context

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

FAQPage Schema

How do I prepare repository context for GPT models without exceeding token limits?▼

Preparing repository context involves normalizing the codebase into a minimal, sufficient packet that surfaces essential entry points, callers, interfaces, and diffs while pruning noise to avoid exceeding token limits.

What is the best way to surface essential files and interfaces for AI codebase analysis?▼

The best way to surface essential files and interfaces is by pruning multi-file repositories to retain only entry points, callers, callees, tests, and constraints, producing a compact, actionable context packet.

How do I generate a paste-ready context prompt for high-reasoning models?▼

Generating a paste-ready context prompt involves curating repository context into a syntax-safe, handoff-ready document that can be fed directly to high-reasoning models like GPT-5.5 Pro.

Does this context builder support different analysis modes like debugging and architecture review?▼

Yes, the context builder supports multiple task modes including question, debug, plan, review, architecture, and test-strategy, allowing tailored context discovery for different analysis needs.

Can I use this to analyze complex multi-file repositories with high-reasoning models?▼

Yes, you can analyze complex multi-file repositories by discovering and pruning context to surface only essential files, diffs, and interfaces, enabling high-reasoning models to process the codebase effectively.

What limitations should I expect when normalizing large codebases for AI agents?▼

When normalizing large codebases, the limitation is that the output must remain a minimal, sufficient packet focused on discovery and pruning, avoiding implementation tasks to keep the syntax-safe document within processing constraints.