Claude-skill-registry generate-subsystem-skills

Generate specialized skills for each subsystem in the monorepo. Creates shared language skills and subsystem-specific checklists for high-quality AI code generation.

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 "$T/skills/data/generate-subsystem-skills" ~/.claude/skills/majiayu000-claude-skill-registry-generate-subsystem-skills && rm -rf "$T"

manifest: skills/data/generate-subsystem-skills/SKILL.md

source content

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:

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/
```

Step 3: Generate Subsystem Skills

Launch sub-agents IN PARALLEL for each subsystem:

For each subsystem, the agent should:

Read the subsystem's dependency files (package.json, pyproject.toml, go.mod)
Analyze code patterns using Grep and Read
Generate SKILL.md that links to shared language skills
Generate framework-specific checklist files
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