generate-subsystem-skills: Скилл для генерации AI-кода

--- 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 ```