mhadikz

Agent Context Framework — AI skill for Claude Code

AI community

Production-ready Markdown (.md) context templates for AI coding agents (Cursor, Claude Code, Aider, Windsurf).

How to install Agent Context Framework

This entry records only its repository, not the path inside it, so there is no exact command to give. Open mhadikz/agent-context-framework and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Agent Context Framework does

Production-ready Markdown (.md) context templates for AI coding agents (Cursor, Claude Code, Aider, Windsurf). Eliminate AI hallucinations, prevent scope creep, and save context tokens.

Alternatives in AI

README

🤖 AI Context Framework Templates

📝 License 🤝 Contributions 🤖 Target
MIT PRs Welcome AI Coding Agents

A collection of 10 industry-standard Markdown (`.md`) blueprints designed to act as an "onboarding manual" for AI coding agents and LLM assistants. By placing these files in your project root, you dramatically reduce AI hallucinations, prevent scope creep, and save thousands of context window tokens.

🚀 Why Use This Framework?

When working with AI tools like **Cursor, Claude Code, Aider, Windsurf, or GitHub Copilot**, LLMs often suffer from "context rotting" or forget project boundaries over long chat sessions.

This framework solves that by dividing project context into **three specialized pillars**:

  1. Instructions & Rules: Tell the AI how to behave and execute commands.
  2. Project Shaping: Keep the AI aligned with your roadmap and active sprints.
  3. Architecture & Governance: Stop the AI from rewriting your tech stack or breaking code style.

📂 What's Inside the Box?

🛠️ Pillar 1: Core AI Instructions & Rules

  • `AGENTS.md` - The Universal AI Directive: The platform-agnostic standard defining project context, build commands, and safety guardrails.
  • `CLAUDE.md` / `GEMINI.md` - Tool-Specific Overrides: Rules optimized for terminal-based CLI agents to dictate how diffs and outputs are formatted.
  • `SKILL.md` - Deterministic Runbooks: Step-by-step workflow documentation that tells the AI exactly how to execute routines safely.

📋 Pillar 2: Project Shaping & Management

  • `PLAN.md` - The Macro Blueprint: Sets the high-level vision, core milestones, and strictly defines what is out of scope.
  • `BACKLOG.md` - The Task Queue: A clean Now/Next/Later pipeline that the AI can read to pull its next assignment autonomously.