common-skills
About
This skill provides best practices for the LlamaFarm Common utilities package, which offers shared Python functionality across services. It specifically covers HuggingFace Hub integration, GGUF model management, and other shared utilities like process management. Use this skill when reviewing or developing the common package to ensure consistent implementation of these cross-service components.
Quick Install
Claude Code
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Documentation
Common Skills for LlamaFarm
Best practices and code review checklists for the common/ package - shared Python utilities used across all LlamaFarm services.
Component Overview
| Attribute | Value |
|---|---|
| Path | common/ |
| Package | llamafarm-common |
| Python | 3.10+ |
| Key Dependencies | huggingface_hub, hf-transfer |
Purpose
The common/ package provides shared functionality that needs to be consistent across multiple Python services:
- Model file utilities (GGUF selection, quantization parsing)
- HuggingFace Hub integration (listing, downloading)
- Process management (PID files)
Shared Python Skills
This skill inherits all patterns from the shared Python skills:
| Topic | File | Relevance |
|---|---|---|
| Patterns | ../python-skills/patterns.md | Dataclasses, type hints, comprehensions |
| Typing | ../python-skills/typing.md | Type annotations, modern syntax |
| Testing | ../python-skills/testing.md | Pytest fixtures, mocking HuggingFace APIs |
| Errors | ../python-skills/error-handling.md | Custom exceptions, logging |
| Security | ../python-skills/security.md | Path validation, safe file handling |
Framework-Specific Checklists
| Topic | File | Key Points |
|---|---|---|
| HuggingFace | huggingface.md | Hub API, model download, caching, authentication |
Module Structure
common/
├── pyproject.toml # UV-managed dependencies
├── llamafarm_common/
│ ├── __init__.py # Public API exports
│ ├── model_utils.py # GGUF file utilities
│ └── pidfile.py # PID file management
└── tests/
└── test_model_utils.py # Unit tests with mocking
Public API
Model Utilities
from llamafarm_common import (
# Parse model:quantization syntax
parse_model_with_quantization,
# Extract quantization from filename
parse_quantization_from_filename,
# Select best GGUF file from list
select_gguf_file,
select_gguf_file_with_logging,
# List GGUF files in HF repo
list_gguf_files,
# Download and get path to GGUF file
get_gguf_file_path,
# Default quantization preference order
GGUF_QUANTIZATION_PREFERENCE_ORDER,
)
PID File Management
from llamafarm_common.pidfile import write_pid, get_pid_file
Review Checklist Summary
When reviewing code in common/:
-
HuggingFace Integration (High priority)
- Proper error handling for network failures
- Authentication token passed correctly
- High-speed transfer enabled appropriately
-
Model Selection (Medium priority)
- Quantization preference order maintained
- Case-insensitive matching
- Graceful fallback when preferred not available
-
Testing (High priority)
- HuggingFace API calls mocked
- Network isolation in tests
- Edge cases covered (empty lists, missing files)
-
Security (Medium priority)
- No token exposure in logs
- Safe file path handling
- Environment variable protection
See huggingface.md for detailed HuggingFace-specific checklists.
GitHub Repository
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