Browse skills

CLI best practices for LlamaFarm. Covers Cobra, Bubbletea, Lipgloss patterns for Go CLI development.

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Best practices for the Common utilities package in LlamaFarm. Covers HuggingFace Hub integration, GGUF model management, and shared utilities.

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Configuration module patterns for LlamaFarm. Covers Pydantic v2 models, JSONSchema generation, YAML processing, and validation.

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Designer subsystem patterns for LlamaFarm. Covers React 18, TanStack Query, TailwindCSS, and Radix UI.

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Electron patterns for LlamaFarm Desktop. Covers main/renderer processes, IPC, security, and packaging.

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Fetch GitHub CI failure information, analyze root causes, reproduce locally, and propose a fix plan. Use `/fix-ci` for current branch or `/fix-ci <run-id>` for a specific run.

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Shared Go best practices for LlamaFarm CLI. Covers idiomatic patterns, error handling, and testing.

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Shared Python best practices for LlamaFarm. Covers patterns, async, typing, testing, error handling, and security.

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Analyze the current session and propose improvements to skills. **Proactively invoke this skill** when you notice user corrections after skill usage, or at the end of skill-heavy sessions. Also use when user says "reflect", "improve skill", or "learn from this".

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Universal Runtime best practices for PyTorch inference, Transformers models, and FastAPI serving. Covers device management, model loading, memory optimization, and performance tuning.

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Server-specific best practices for FastAPI, Celery, and Pydantic. Extends python-skills with framework-specific patterns.

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Guidelines for creating temporary files in system temp directory. Use when agents need to create reports, logs, or progress files without cluttering the repository.

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Shared TypeScript best practices for Designer and Electron subsystems.

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Manage LlamaFarm worktrees for isolated parallel development. Create, start, stop, and clean up worktrees.

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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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Comprehensive code review for diffs. Analyzes changed code for security vulnerabilities, anti-patterns, and quality issues. Auto-detects domain (frontend/backend) from file paths.

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RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers. Covers ingestion, retrieval, embeddings, and performance.

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React 18 patterns for LlamaFarm Designer. Covers components, hooks, TanStack Query, and testing.

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Commit changes, push to GitHub, and open a PR. Includes quality checks (security, patterns, simplification). Use --quick to skip checks.

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