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
- Repository
- jeremylongshore/tons-of-skills-marketplace
- 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
- 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.
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.
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 reviewType 2: CLI Tool
Dispatch sequence:
1. geepers_pycli → CLI structure, UX
2. geepers_deps → Dependencies
3. geepers_critic → ArchitectureType 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.mdCode 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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