llamafarm
Skills and MCP servers for working on the LlamaFarm codebase, covering CLI development, code review, commit and PR workflows, configuration models, and shared model utilities.
19 skills836
@llama-farm- 836Stars earned
- 1Plugin
- 19Skills
- 1MCP server
Plugins
1@llama-farmSkills
19cli-skills
CLI best practices for LlamaFarm. Covers Cobra, Bubbletea, Lipgloss patterns for Go CLI development.
@llama-farmcode-review
Comprehensive code review for diffs. Analyzes changed code for security vulnerabilities, anti-patterns, and quality issues.…
@llama-farmcommit-push-pr
Commit changes, push to GitHub, and open a PR. Includes quality checks (security, patterns, simplification). Use --quick to skip…
@llama-farmcommon-skills
Best practices for the Common utilities package in LlamaFarm. Covers HuggingFace Hub integration, GGUF model management, and…
@llama-farmconfig-skills
Configuration module patterns for LlamaFarm. Covers Pydantic v2 models, JSONSchema generation, YAML processing, and validation.
@llama-farmdesigner-skills
Designer subsystem patterns for LlamaFarm. Covers React 18, TanStack Query, TailwindCSS, and Radix UI.
@llama-farmelectron-skills
Electron patterns for LlamaFarm Desktop. Covers main/renderer processes, IPC, security, and packaging.
@llama-farmfix-ci
Fetch GitHub CI failure information, analyze root causes, reproduce locally, and propose a fix plan. Use `/fix-ci` for current…
@llama-farmgenerate-subsystem-ski…
Generate specialized skills for each subsystem in the monorepo. Creates shared language skills and subsystem-specific checklists…
@llama-farmgo-skills
Shared Go best practices for LlamaFarm CLI. Covers idiomatic patterns, error handling, and testing.
@llama-farmpython-skills
Shared Python best practices for LlamaFarm. Covers patterns, async, typing, testing, error handling, and security.
@llama-farmrag-skills
RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers. Covers ingestion, retrieval, embeddings, and…
@llama-farmMCP server
1playwright
MCPDrives a real browser so the agent can open pages, click, fill forms and read what actually rendered.
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