Claude-skill-registry common-skills

Best practices for the Common utilities package in LlamaFarm. Covers HuggingFace Hub integration, GGUF model management, and shared utilities.

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/common-skills" ~/.claude/skills/majiayu000-claude-skill-registry-common-skills && rm -rf "$T"

manifest: skills/data/common-skills/SKILL.md

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.