CLI best practices for LlamaFarm. Covers Cobra, Bubbletea, Lipgloss patterns for Go CLI development.
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Generate specialized skills for each subsystem in the monorepo. Creates shared language skills and subsystem-specific checklists for high-quality AI code generation.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
This skill analyzes each subsystem in the LlamaFarm monorepo and generates specialized Claude Code skills for security, performance, and language-specific best practices.
/generate-subsystem-skills
python-skills/ - Used by: server, rag, runtime, config, commongo-skills/ - Used by: clitypescript-skills/ - Used by: designer, electronreact-skills/ - Used by: designercli-skills/ - Cobra, Bubbletea patternsserver-skills/ - FastAPI, Celery, Pydantic patternsrag-skills/ - LlamaIndex, ChromaDB patternsruntime-skills/ - PyTorch, Transformers patternsdesigner-skills/ - TanStack Query, Tailwind, Radix patternselectron-skills/ - Electron IPC, security patternsconfig-skills/ - Pydantic, JSONSchema patternscommon-skills/ - HuggingFace Hub patternsLoad subsystem definitions from subsystem-registry.md.
Launch sub-agents IN PARALLEL to generate:
Python Skills Agent - Analyze Python subsystems (server, rag, runtime, config, common), identify ideal patterns, generate python-skills/
Go Skills Agent - Analyze CLI subsystem, identify ideal Go patterns, generate go-skills/
TypeScript Skills Agent - Analyze designer and electron, identify ideal TS patterns, generate typescript-skills/
React Skills Agent - Analyze designer, identify ideal React 18 patterns, generate react-skills/
Launch sub-agents IN PARALLEL for each subsystem:
For each subsystem, the agent should:
.claude/skills/{subsystem}-skills/After all agents complete, report:
You are generating a shared {LANGUAGE} skills directory for Claude Code.
Analyze these subsystems that use {LANGUAGE}:
{SUBSYSTEM_PATHS}
Your task:
1. Read key files to understand patterns used
2. When patterns vary, document the IDEAL approach (not inconsistencies)
3. Reference industry best practices
4. Generate files in .claude/skills/{LANGUAGE}-skills/
Files to generate:
- SKILL.md (overview, ~100 lines)
- patterns.md (idiomatic patterns)
- error-handling.md
- testing.md
- security.md
- {additional language-specific files}
Each checklist item should have:
- Description of what to check
- Search pattern (grep command)
- Pass/fail criteria
- Severity level
You are generating subsystem-specific skills for {SUBSYSTEM} in Claude Code.
Directory: {PATH}
Tech Stack: {TECH_STACK}
Links to: {SHARED_SKILLS}
Your task:
1. Read dependency files and key source files
2. Identify framework-specific patterns
3. Generate SKILL.md that links to shared language skills
4. Generate framework-specific checklists
Files to generate:
- SKILL.md (overview with links to shared skills)
- {framework}.md for each framework used
- performance.md (subsystem-specific optimizations)
Remember: Document IDEAL patterns, not existing inconsistencies.
Prescribe ideal patterns - When the codebase has inconsistent patterns, the generated skills should document the BEST practice according to industry standards, not codify existing inconsistencies.
All skills are written to .claude/skills/ with this structure:
.claude/skills/
├── python-skills/ # Shared
├── go-skills/ # Shared
├── typescript-skills/ # Shared
├── react-skills/ # Shared
├── cli-skills/ # Subsystem
├── server-skills/ # Subsystem
├── rag-skills/ # Subsystem
├── runtime-skills/ # Subsystem
├── designer-skills/ # Subsystem
├── electron-skills/ # Subsystem
├── config-skills/ # Subsystem
└── common-skills/ # Subsystem
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CLI best practices for LlamaFarm. Covers Cobra, Bubbletea, Lipgloss patterns for Go CLI development.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Comprehensive code review for diffs. Analyzes changed code for security vulnerabilities, anti-patterns, and quality issues. Auto-detects domain (frontend/backend) from file paths.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Commit changes, push to GitHub, and open a PR. Includes quality checks (security, patterns, simplification). Use --quick to skip checks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Best practices for the Common utilities package in LlamaFarm. Covers HuggingFace Hub integration, GGUF model management, and shared utilities.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Configuration module patterns for LlamaFarm. Covers Pydantic v2 models, JSONSchema generation, YAML processing, and validation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Designer subsystem patterns for LlamaFarm. Covers React 18, TanStack Query, TailwindCSS, and Radix UI.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.