GitHub gmelli/aget-cli-agent-template Repository

A GitHub gmelli/aget-cli-agent-template Repository is a CLI agent template framework repository that provides a reference implementation of the AGET Framework (an instance of the CLI Agent Template Framework) enabling AI coding assistants to execute development workflows through conversational command patterns.

AKA: AGET Repository, AGET CLI Agent Template, gmelli AGET Implementation, Universal CLI Agent Template Repository.
Context:
- It can typically provide universal AI coding assistant compatibility with Claude Code, Cursor, Aider, Windsurf, and GitHub Copilot through a single AGENTS.md configuration file.
- It can typically enable conversational session management through natural language commands like wake protocols ("hey"), housekeeping protocols ("tidy up"), and sign-off protocols ("all done").
- It can typically implement safe-by-default operation modes through dry-run previews, rollback support, and confirmation prompts for all destructive operations.
- It can typically support session state persistence through .session_state.json files enabling context preservation across AI coding assistant restarts.
- It can typically provide three template variants including minimal templates (5 patterns), standard templates (15+ patterns), and advanced templates (25+ patterns) for different project complexity levels.
- It can typically facilitate 30-second installation through Python installer scripts that automatically configure project directoryes with agent-ready patterns.
- It can typically solve configuration fragmentation problems by replacing tool-specific configuration files like CLAUDE.md, .cursorrules, .windsurfrules, and .aider.conf.yml with a universal AGENTS.md standard.
- It can often enable emergency recovery protocols through sanity check commands that perform system diagnostics and critical file verification.
- It can often support documentation quality assessment through documentation grades and automated documentation checks integrated into workflow patterns.
- It can often implement dogfooding practices where the repository uses its own CLI agent template patterns for self-maintenance and contribution workflows.
- It can often provide backward compatibility through symbolic links from legacy configuration files to the universal AGENTS.md file.
- It can often enable progressive safety levels through dry-run modes, modify modes, and reorganize modes for incremental automation adoption.
- It can range from being a Minimal 5-Pattern Implementation to being an Advanced 25-Pattern Implementation, depending on its template selection.
- It can range from being a Single-Project Installation to being a Multi-Project Deployment, depending on its installation scope.
- It can integrate with Git version control systems for smart commits, checkpoint creation, and change tracking.
- It can connect to Python ecosystems through Python 3 scripts and standard library dependencyes.
- ...
Examples:
- Core Pattern Implementations, such as:
  - Session Management Patterns, including:
    - Wake Protocol triggered by "hey" for session initialization.
    - Wind Down Protocol for work session preservation.
    - Sign Off Protocol for graceful session termination.
  - Housekeeping Patterns, including:
  - Documentation Patterns, including:
    - Check Docs Protocol for documentation quality analysis.
    - Documentation Grade Assignment for quality metrics.
- Installation Methods, such as:
  - Git Clone Installation using `git clone https://github.com/gmelli/aget-cli-agent-template.git`.
  - Python Installer Execution via `python3 installer/install.py /path/to/project`.
  - Template-Specific Installation with `--template minimal|standard|advanced` command-line options.
- Supported File Structures, such as:
  - AGENTS.md as universal configuration file.
  - scripts/ directory containing protocol implementations.
  - patterns/ directory organizing reusable workflow patterns.
  - .session_state.json for session persistence.
- ...
Counter-Examples:
- Tool-Specific Configuration Repository, which lacks universal compatibility across AI coding assistants.
- Manual CLI Script Collection, which lacks conversational interfaces and pattern discovery.
- IDE Plugin, which requires graphical interfaces rather than CLI-based interaction.
- Static Configuration Template, which lacks session management and state persistence.
- Proprietary Agent Framework, which creates vendor lock-in rather than universal standards.
See: CLI Agent Template Framework, AI Coding Assistant, Claude Code, Cursor IDE, Aider Tool, Conversational Command Interface, Software Dogfooding Practice, Configuration Fragmentation Problem, Universal Configuration Standard, Session State Persistence, Python Installer Script, Git Integration, Natural Language Interface, Workflow Automation Pattern.