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/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.

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llamafarm
83519 skills1 MCP
Install
$ npx -y skills add llama-farm/llamafarm --skill generate-subsystem-skills --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/generate-subsystem-skills

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

generate-subsystem-skills.SKILL.md
name: generate-subsystem-skills
description: Generate specialized skills for each subsystem in the monorepo. Creates shared language skills and subsystem-specific checklists for high-quality AI code generation.
allowed-tools: Read, Grep, Glob, Write, Edit, Task, Bash

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](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
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Apache-2.0
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Repo: llama-farm/llamafarm