Plugins
1 pluginResults for “ai-llm”
23 skills
lucaspmarie-a11y Free LLM
Query free LLM APIs from OpenRouter, Groq, Cerebras, Google AI, and Mistral, with commands to compare models and check status.
5
antigravity AI Product
Guides building production-grade AI features with LLM integration patterns, RAG architecture, prompt engineering, and cost optimization.
42.4k
orchestra-research Evolving AI Agents
Optimize AI agents through automated evolution cycles using LLM-driven mutation of prompts, skills, and memory against measurable benchmarks.
10.4k · bundle
mukul975 Implementing LLM Guardrails For Security
Builds input and output validation guardrails for LLM-powered applications to prevent prompt injection, data leakage, toxic content generation, and hallucinated outputs using NeMo Guardrails, Presidio, and Guardrails AI.
24.6k · bundle
zhaoxuya520 LLM Security
Conduct authorized security assessments of LLM applications and AI agents, covering prompt injection, tool abuse, RAG exposure, memory poisoning, and model supply-chain risks.
12.8k · bundle
mukul975 Detecting AI Model Prompt Injection Attacks
Detects prompt injection attacks targeting LLM-based applications using regex pattern matching, heuristic scoring, and DeBERTa transformer classification.
24.6k · bundle
More results
antigravity LLM Council
Run Fireworks-hosted open-weight model councils that compare responses and synthesize a final answer.
42.4k · bundle
antigravity AI Ml
Orchestrates AI/ML workflows for building LLM applications, RAG systems, AI agents, and ML pipelines with observability and security.
42.4k
github Phoenix Evals
Build and run evaluators for AI/LLM applications using Phoenix, covering error analysis, custom evaluators, experiments, and production monitoring.
36.2k · bundle
jorcan LLM Ops
Guides production LLM operations: RAG pipelines, embeddings, vector databases, fine-tuning, prompt engineering, cost estimation, quality evals, and AI architectures.
0 · bundle
antigravity AI Engineer
Build production-ready LLM applications, advanced RAG systems, and intelligent agents with vector search, multimodal AI, and enterprise integrations.
42.4k
majiayu000 AI Ml Technologies
Covers AI, machine learning, LLMs, prompt engineering, and blockchain development with code examples and best practices for building AI applications and smart contracts.
567 · bundle
lucaspmarie-a11y AI Md
Converts human-written CLAUDE.md files into a structured-label format that AI models follow more reliably while using fewer tokens.
5
antigravity LLM Ops
Provides guidance and code for production AI workflows including RAG pipelines, vector databases, embedding indexing, prompt engineering, cost estimation, semantic caching, and quality evaluation.
42.4k
antigravity AI Md
Convert human-written CLAUDE.md files into a structured label format that AI models follow more reliably using fewer tokens.
42.4k
deep-chavda AI Engineering Standards
Enforces production-grade Python and AI engineering standards for FastAPI, LangChain/LangGraph, RAG pipelines, and LLM integrations, covering type safety, error handling, testing, and security.
github Arize Prompt Optimization
Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations from Arize AI.
36.2k · bundle
alirezarezvani AI Security
Assess AI/ML systems for prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, and agent tool abuse, with MITRE ATLAS mapping and guardrail recommendations.
20.4k · bundle
nimoqup046-collab LLM Ops
Guides production AI systems: RAG pipelines, embeddings, vector databases, fine-tuning, prompt engineering, cost estimation, quality evals, and caching.
2
lucaspmarie-a11y LLM Ops
Provides guidance on production AI operations including RAG pipelines, vector databases, embeddings, fine-tuning, prompt engineering, cost estimation, and quality evaluation.
5
k-dense-ai Hypogenic
Automates hypothesis generation and testing on tabular datasets using LLMs, combining data-driven discovery with literature integration for scientific research.
30.2k · bundle
github Agentic Eval
Implement iterative evaluation and refinement loops for AI agent outputs, using self-critique, evaluator-optimizer patterns, and rubric-based scoring to improve quality.
36.2k
inference-sh Prompt Engineering
Learn and apply prompt engineering techniques for LLMs, image generators, and video models using the inference.sh CLI.
584