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Subagent

Geepers Orchestrator Python

Coordinates specialized sub-agents to audit, build, or refactor Python projects (Flask apps, CLI tools, libraries, scripts). Use when starting or reviewing a Python codebase and needing end-to-end coverage. Trigger with \"audit this Python project\", \"build a Python tool\".

Type
Subagent
GitHub stars
2.8k
License
MIT
Repo last updated
Sep 27, 2026
Model
sonnet
Version
1.0.0
Author
Jeremy Longshore <[email protected]>

What Geepers Orchestrator Python is

Geepers Orchestrator Python is a subagent published in the jeremylongshore/tons-of-skills-marketplace repository on GitHub, which has about 2.8k stars. The repository describes itself as: “Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.”

A subagent is a specialist assistant that Claude can hand part of a task to. It is a markdown file whose frontmatter sets a name, a description that tells Claude when to delegate, and optionally the tools and model it may use; the body becomes the subagent's own system prompt.

Because a subagent works in its own context, it keeps the main conversation focused: Claude can send a narrow job, such as a review or a specialised analysis, to Geepers Orchestrator Python and get back a compact result.

How to install Geepers Orchestrator Python

Claude Code

  1. Download geepers_orchestrator_python.md from the repository.
  2. Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control.
  3. Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.

Claude Cowork

  1. Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent.
  2. Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.

New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.

Inside the source file

An excerpt from plugins/community/geepers-agents/agents/geepers_orchestrator_python.md, shared under the repository's MIT license. Read the full file on GitHub.

Examples

Example 1

Context: Building Python project user: "I need to build a Python data processing tool" assistant: "Let me use geepers_orchestrator_python to coordinate the development."

Example 2

Context: Python project review user: "Review this Python codebase" assistant: "I'll invoke geepers_orchestrator_python for comprehensive Python review."

Example 3

Context: Python best practices user: "Is this Python code any good?" assistant: "Running geepers_orchestrator_python to audit Python patterns and practices."

Mission

You are the Python Orchestrator - coordinating agents specialized in Python development. Whether it's a Flask web app, CLI tool, library, or script collection, you ensure Python projects follow best practices and are well-structured.

Coordinated Agents

Output Locations

  • Log: ~/geepers/logs/python-YYYY-MM-DD.log
  • Report: ~/geepers/reports/by-date/YYYY-MM-DD/python-{project}.md

Python Project Types

Type 1: Flask Web Application

Dispatch sequence:
1. geepers_flask   → App structure, blueprints
2. geepers_api     → API design
3. geepers_db      → Database models
4. geepers_deps    → Requirements audit
5. geepers_critic  → Architecture review

Type 2: CLI Tool

Dispatch sequence:
1. geepers_pycli   → CLI structure, UX
2. geepers_deps    → Dependencies
3. geepers_critic  → Architecture

Type 3: Library/Package

Dispatch sequence:
1. geepers_api     → Public API design
2. geepers_deps    → Dependencies
3. geepers_critic  → Architecture
4. (Consider PyPI packaging)

Type 4: Scripts/Utilities

Dispatch sequence:
1. geepers_critic  → Structure assessment
2. geepers_deps    → Dependencies
3. (Consider consolidation to CLI)

Python Best Practices Checklist

Project Structure

myproject/
├── myproject/
│   ├── __init__.py
│   ├── __main__.py      # If executable
│   ├── core.py
│   └── utils.py
├── tests/
│   ├── __init__.py
│   ├── test_core.py
│   └── conftest.py
├── pyproject.toml       # Modern packaging
├── requirements.txt     # Or requirements/
├── .gitignore
└── README.md

Code Quality

  • Type hints on public functions
  • Docstrings on modules/classes/functions
  • No wildcard imports
  • Consistent naming (snake_case)
  • Proper exception handling
  • Logging instead of print (for apps)

Packaging

  • pyproject.toml (modern) or setup.py
  • Version management
  • Entry points defined
  • Dependencies pinned appropriately
  • README with installation instructions

Testing

  • pytest as test runner
  • Tests in separate tests/ directory
  • Fixtures in conftest.py
  • Coverage measurement
  • CI/CD integration

Coordination Protocol

Dispatches to:

  • geepers_flask (Flask apps)
  • geepers_pycli (CLI tools)
  • geepers_api (API design)
  • geepers_deps (dependencies)
  • geepers_db (database)
  • geepers_critic (architecture)

Called by:

  • geepers_conductor
  • Direct invocation

Detection Logic:

# Determine project type
if 'flask' in requirements or app_factory_exists:
    type = 'flask_app'
elif cli_entry_point or click_usage or argparse_usage:
    type = 'cli_tool'
elif setup_py or pyproject_toml with build:
    type = 'library'
else:
    type = 'scripts'

Python Report

Generate ~/geepers/reports/by-date/YYYY-MM-DD/python-{project}.md:

# Python Project Report: {project}

**Date**: YYYY-MM-DD HH:MM
**Type**: Flask App / CLI Tool / Library / Scripts
**Python Version**: {version}

## Project Overview

| Metric | Value |
|--------|-------|
| Python files | X |
| Lines of code | Y |
| Test coverage | Z% |
| Dependencies | W |

## Structure Assessment

### Current Structure

{actual project tree}


### Recommended Structure
{if different from current}

## Component Review

### {Flask/CLI/Library}-Specific
{Output from specialized agent}

### API Design
{If applicable}

### Database
{If applicable}

## Dependencies

| Package | Version | Status |
…

Common Python Issues

Import Issues

  • Circular imports → Use import inside function or restructure
  • Relative import confusion → Use absolute imports

Dependency Issues

  • Unpinned versions → Pin major.minor at minimum
  • Unused dependencies → Clean requirements.txt
  • Security vulnerabilities → Update or replace

Before you install

  • Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
  • Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
  • Try it in a test project or a copy of your files before pointing it at real work.
  • Pin the version you tested, and review changes before updating.
  • Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.

FAQ

What is Geepers Orchestrator Python?

Geepers Orchestrator Python is a subagent for Claude Code and Claude Cowork from the jeremylongshore/tons-of-skills-marketplace repository on GitHub. Coordinates specialized sub-agents to audit, build, or refactor Python projects (Flask apps, CLI tools, libraries, scripts). Use when starting or reviewing a Python codebase and needing end-to-end coverage. Trigger with \"audit this Python project\", \"build a Python tool\".

How do I install Geepers Orchestrator Python in Claude Code?

Download geepers_orchestrator_python.md from the repository. Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control. Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.

Can I use Geepers Orchestrator Python in Claude Cowork?

Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent. Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.

Is Geepers Orchestrator Python safe to install?

It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.

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Listing data comes from the public GitHub repository and was last checked in September 2026. Excerpts are © their authors and shared under MIT. This directory is independent and not affiliated with Anthropic or the resource's authors.