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Topic: ai

10,359 skills in this topic.

electron-skills Electron patterns for LlamaFarm Desktop. Covers main/renderer processes, IPC, security, and packaging.
llama-farm/llamafarm 831
fix-ci 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.
llama-farm/llamafarm 831
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.
llama-farm/llamafarm 831
rag-skills RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers. Covers ingestion, retrieval, embeddings, and performance.
llama-farm/llamafarm 831
react-skills React 18 patterns for LlamaFarm Designer. Covers components, hooks, TanStack Query, and testing.
llama-farm/llamafarm 831
reflect 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".
llama-farm/llamafarm 831
runtime-skills Universal Runtime best practices for PyTorch inference, Transformers models, and FastAPI serving. Covers device management, model loading, memory optimization, and performance tuning.
llama-farm/llamafarm 831
temp-files Guidelines for creating temporary files in system temp directory. Use when agents need to create reports, logs, or progress files without cluttering the repository.
llama-farm/llamafarm 831
typescript-skills Shared TypeScript best practices for Designer and Electron subsystems.
llama-farm/llamafarm 831
wt Manage LlamaFarm worktrees for isolated parallel development. Create, start, stop, and clean up worktrees.
llama-farm/llamafarm 831
agent-orchestration-planner Designs multi-step agent workflows with tool usage, retry logic, state management, and budget controls. Provides orchestration diagrams, tool execution order, fallback strategies, and cost limits. Use for "AI agents", "agentic workflows", "multi-step AI", or "autonomous systems".
patricio0312rev/skills 23
ai-agent-orchestrator Orchestrates multi-agent AI systems with task delegation, agent communication, shared memory, and workflow coordination. Use when users request "multi-agent system", "agent orchestration", "AI agents", "agent coordination", or "autonomous agents".
patricio0312rev/skills 23
cost-latency-optimizer Reduces LLM costs and improves response times through caching, model selection, batching, and prompt optimization. Provides cost breakdowns, latency hotspots, and configuration recommendations. Use for "cost reduction", "performance optimization", "latency improvement", or "efficiency".
patricio0312rev/skills 23
doc-to-vector-dataset-generator Converts documents into clean, chunked datasets suitable for embeddings and vector search. Produces chunked JSONL files with metadata, deduplication logic, and quality checks. Use when preparing "training data", "vector datasets", "document processing", or "embedding data".
patricio0312rev/skills 23
embedding-pipeline-builder Builds document embedding pipelines with text chunking, embedding generation, indexing, and retrieval optimization. Use when users request "embedding pipeline", "document indexing", "text chunking", "RAG preprocessing", or "semantic indexing".
patricio0312rev/skills 23
evaluation-harness Builds repeatable evaluation systems with golden datasets, scoring rubrics, pass/fail thresholds, and regression reports. Use for "LLM evaluation", "testing AI systems", "quality assurance", or "model benchmarking".
patricio0312rev/skills 23
guardrails-safety-filter-builder Implements content safety filters with PII redaction, policy constraints, prompt injection detection, and safe refusal templates. Use when adding "content moderation", "safety filters", "PII protection", or "guardrails".
patricio0312rev/skills 23
langchain-workflow-builder Builds LLM applications with LangChain including chains, agents, memory, tools, and RAG pipelines. Use when users request "LangChain setup", "LLM chain", "AI workflow", "conversational AI", or "RAG pipeline".
patricio0312rev/skills 23
llm-debugger Diagnoses LLM output failures including hallucinations, constraint violations, format errors, and reasoning issues. Provides root cause classification, prompt fixes, tool improvements, and new test cases. Use for "debugging AI", "fixing prompts", "quality issues", or "output errors".
patricio0312rev/skills 23
mcp-server-builder Builds Model Context Protocol (MCP) servers for Claude with tools, resources, and prompts. Use when users request "create MCP server", "build Claude tool", "MCP integration", or "custom Claude tools".
patricio0312rev/skills 23
prompt-regression-tester Compares old vs new prompts across test cases with diff summaries, stability metrics, breakage analysis, and fix suggestions. Use for "prompt testing", "A/B testing prompts", "prompt versioning", or "quality regression".
patricio0312rev/skills 23
prompt-template-builder Creates reusable prompt templates with strict output contracts, style rules, few-shot examples, and do/don't guidelines. Provides system/user prompt files, variable placeholders, output formatting instructions, and quality criteria. Use when building "prompt templates", "LLM prompts", "AI system prompts", or "prompt engineering".
patricio0312rev/skills 23
rag-pipeline-builder Designs retrieval-augmented generation pipelines for document-based AI assistants. Includes chunking strategies, metadata schemas, retrieval algorithms, reranking, and evaluation plans. Use when building "RAG systems", "document search", "semantic search", or "knowledge bases".
patricio0312rev/skills 23
structured-output-extractor Extracts structured data from LLM responses using JSON schemas, Zod validation, and function calling for reliable parsing. Use when users request "structured output", "JSON extraction", "parse LLM response", "function calling", or "typed responses".
patricio0312rev/skills 23