Generate Subsystem Skills

Generate Subsystem Skills

This skill analyzes each subsystem in the LlamaFarm monorepo and generates specialized Claude Code skills for security, performance, and language-specific best practices.

Usage

/generate-subsystem-skills

What Gets Generated

Shared Language Skills (4)

• python-skills/ - Used by: server, rag, runtime, config, common
• go-skills/ - Used by: cli
• typescript-skills/ - Used by: designer, electron
• react-skills/ - Used by: designer

Subsystem-Specific Skills (8)

• cli-skills/ - Cobra, Bubbletea patterns
• server-skills/ - FastAPI, Celery, Pydantic patterns
• rag-skills/ - LlamaIndex, ChromaDB patterns
• runtime-skills/ - PyTorch, Transformers patterns
• designer-skills/ - TanStack Query, Tailwind, Radix patterns
• electron-skills/ - Electron IPC, security patterns
• config-skills/ - Pydantic, JSONSchema patterns
• common-skills/ - HuggingFace Hub patterns

Generation Process

Step 1: Read Registry

Load subsystem definitions from subsystem-registry.md.

Step 2: Generate Shared Language Skills

Launch sub-agents IN PARALLEL to generate:

1. Python Skills Agent - Analyze Python subsystems (server, rag, runtime, config, common), identify ideal patterns, generate python-skills/

2. Go Skills Agent - Analyze CLI subsystem, identify ideal Go patterns, generate go-skills/

3. TypeScript Skills Agent - Analyze designer and electron, identify ideal TS patterns, generate typescript-skills/

4. React Skills Agent - Analyze designer, identify ideal React 18 patterns, generate react-skills/

Step 3: Generate Subsystem Skills

Launch sub-agents IN PARALLEL for each subsystem:

For each subsystem, the agent should:

1. Read the subsystem's dependency files (package.json, pyproject.toml, go.mod)
2. Analyze code patterns using Grep and Read
3. Generate SKILL.md that links to shared language skills
4. Generate framework-specific checklist files
5. Write all files to .claude/skills/{subsystem}-skills/

Step 4: Report Summary

After all agents complete, report:

• Number of skills generated
• Total files created
• Any errors encountered

Sub-Agent Prompt Templates

For Shared Language Skills

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

For Subsystem Skills

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.

Key Principle

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.

Output Location

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

Source: llama-farm/llamafarm — distributed by TomeVault.