Leaderboard
Scored on public signals; components with none are listed as Unranked · Formula
Component
Domain
Vertical
| Rank | Score | Component | Description | Evidence | Last commit | Install |
|---|---|---|---|---|---|---|
| 1 | Unranked | agent-architecture-auditskill · ai-agents | Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline… | No signals yet | No commit datelisted | armory install agent-architecture-audit --cli claude |
| 2 | Unranked | agent-tool-builderskill · ai-agents | Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails… | No signals yet | No commit datelisted | armory install agent-tool-builder --cli claude |
| 3 | Unranked | ai-productskill · ai-agents | Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM… | No signals yet | No commit datelisted | armory install ai-product --cli claude |
| 4 | Unranked | ai-wrapper-productskill · ai-agents | Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different'… | No signals yet | No commit datelisted | armory install ai-wrapper-product --cli claude |
| 5 | Unranked | awq-quantizationskill · ai-agents | Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss. Use when deploying large models (7B-70B) on… | No signals yet | No commit datelisted | armory install awq-quantization --cli claude |
| 6 | Unranked | axolotlskill · ai-agents | Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support | No signals yet | No commit datelisted | armory install axolotl --cli claude |
| 7 | Unranked | context-window-managementskill · ai-agents | Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token… | No signals yet | No commit datelisted | armory install context-window-management --cli claude |
| 8 | Unranked | conversation-memoryskill · ai-agents | Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember… | No signals yet | No commit datelisted | armory install conversation-memory --cli claude |
| 9 | Unranked | cost-aware-llm-pipelineskill · ai-agents | Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching. | No signals yet | No commit datelisted | armory install cost-aware-llm-pipeline --cli claude |
| 10 | Unranked | crewai-multi-agentskill · ai-agents | Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks… | No signals yet | No commit datelisted | armory install crewai-multi-agent --cli claude |
| 11 | Unranked | distributed-llm-pretraining-torchtitanskill · ai-agents | Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek… | No signals yet | No commit datelisted | armory install distributed-llm-pretraining-torchtitan --cli claude |
| 12 | Unranked | dspyskill · ai-agents | Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford… | No signals yet | No commit datelisted | armory install dspy --cli claude |
| 13 | Unranked | fine-tuning-with-trlskill · ai-agents | Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and… | No signals yet | No commit datelisted | armory install fine-tuning-with-trl --cli claude |
| 14 | Unranked | foundation-models-on-deviceskill · ai-agents | Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS… | No signals yet | No commit datelisted | armory install foundation-models-on-device --cli claude |
| 15 | Unranked | gepettoskill · ai-agents | Creates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that… | No signals yet | No commit datelisted | armory install gepetto --cli claude |
| 16 | Unranked | gptqskill · ai-agents | Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4×… | No signals yet | No commit datelisted | armory install gptq --cli claude |
| 17 | Unranked | guidanceskill · ai-agents | Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with… | No signals yet | No commit datelisted | armory install guidance --cli claude |
| 18 | Unranked | implementing-llms-litgptskill · ai-agents | Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model… | No signals yet | No commit datelisted | armory install implementing-llms-litgpt --cli claude |
| 19 | Unranked | instructorskill · ai-agents | Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and… | No signals yet | No commit datelisted | armory install instructor --cli claude |
| 20 | Unranked | knowledge-distillationskill · ai-agents | Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained… | No signals yet | No commit datelisted | armory install knowledge-distillation --cli claude |
| 21 | Unranked | langchainskill · ai-agents | Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+… | No signals yet | No commit datelisted | armory install langchain --cli claude |
| 22 | Unranked | langfuseskill · ai-agents | Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with… | No signals yet | No commit datelisted | armory install langfuse --cli claude |
| 23 | Unranked | llama-cppskill · ai-agents | Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when… | No signals yet | No commit datelisted | armory install llama-cpp --cli claude |
| 24 | Unranked | llama-factoryskill · ai-agents | Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support | No signals yet | No commit datelisted | armory install llama-factory --cli claude |
| 25 | Unranked | llm-app-patternsskill · ai-agents | Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when… | No signals yet | No commit datelisted | armory install llm-app-patterns --cli claude |
| 26 | Unranked | model-pruningskill · ai-agents | Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving… | No signals yet | No commit datelisted | armory install model-pruning --cli claude |
| 27 | Unranked | nemo-curatorskill · ai-agents | GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+… | No signals yet | No commit datelisted | armory install nemo-curator --cli claude |
| 28 | Unranked | nemo-guardrailsskill · ai-agents | NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection… | No signals yet | No commit datelisted | armory install nemo-guardrails --cli claude |
| 29 | Unranked | nowait-reasoning-optimizerskill · ai-agents | Implements the NOWAIT technique for efficient reasoning in R1-style LLMs. Use when optimizing inference of reasoning models (QwQ, DeepSeek-R1… | No signals yet | No commit datelisted | armory install nowait-reasoning-optimizer --cli claude |
| 30 | Unranked | optimizing-attention-flashskill · ai-agents | Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long… | No signals yet | No commit datelisted | armory install optimizing-attention-flash --cli claude |
| 31 | Unranked | outlinesskill · ai-agents | Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local models (Transformers, vLLM), and… | No signals yet | No commit datelisted | armory install outlines --cli claude |
| 32 | Unranked | peft-fine-tuningskill · ai-agents | Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when… | No signals yet | No commit datelisted | armory install peft-fine-tuning --cli claude |
| 33 | Unranked | prompt-cachingskill · ai-agents | Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt… | No signals yet | No commit datelisted | armory install prompt-caching --cli claude |
| 34 | Unranked | prompt-engineer-3skill · ai-agents | Expert in designing effective prompts for LLM-powered applications. Masters prompt structure, context management, output formatting, and prompt… | No signals yet | No commit datelisted | armory install prompt-engineer-3 --cli claude |
| 35 | Unranked | prompt-engineeringskill · ai-agents | Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting… | No signals yet | No commit datelisted | armory install prompt-engineering --cli claude |
| 36 | Unranked | prompt-engineering-patternsskill · ai-agents | Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability. | No signals yet | No commit datelisted | armory install prompt-engineering-patterns --cli claude |
| 37 | Unranked | quantizing-models-bitsandbytesskill · ai-agents | Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or… | No signals yet | No commit datelisted | armory install quantizing-models-bitsandbytes --cli claude |
| 38 | Unranked | regex-vs-llm-structured-textskill · ai-agents | Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases. | No signals yet | No commit datelisted | armory install regex-vs-llm-structured-text --cli claude |
| 39 | Unranked | rwkv-architectureskill · ai-agents | RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux… | No signals yet | No commit datelisted | armory install rwkv-architecture --cli claude |
| 40 | Unranked | senior-prompt-engineerskill · ai-agents | World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude… | No signals yet | No commit datelisted | armory install senior-prompt-engineer --cli claude |
| 41 | Unranked | serving-llms-vllmskill · ai-agents | Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference… | No signals yet | No commit datelisted | armory install serving-llms-vllm --cli claude |
| 42 | Unranked | sglangskill · ai-agents | Fast structured generation and serving for LLMs with RadixAttention prefix caching. Use for JSON/regex outputs, constrained decoding, agentic… | No signals yet | No commit datelisted | armory install sglang --cli claude |
| 43 | Unranked | simpo-trainingskill · ai-agents | Simple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No… | No signals yet | No commit datelisted | armory install simpo-training --cli claude |
| 44 | Unranked | slime-rl-trainingskill · ai-agents | Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data… | No signals yet | No commit datelisted | armory install slime-rl-training --cli claude |
| 45 | Unranked | training-llms-megatronskill · ai-agents | Trains large language models (2B-462B parameters) using NVIDIA Megatron-Core with advanced parallelism strategies. Use when training models >1B… | No signals yet | No commit datelisted | armory install training-llms-megatron --cli claude |
| 46 | Unranked | unslothskill · ai-agents | Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization | No signals yet | No commit datelisted | armory install unsloth --cli claude |
| 47 | Unranked | voice-agentsskill · ai-agents | Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. The challenge isn't just speech recognition and… | No signals yet | No commit datelisted | armory install voice-agents --cli claude |
Score colour shows how many signals stand behind it, never how good it is: amber, three or more; dimmer amber, two; grey, one. The Evidence column names them.
Stars, forks and last commit are as GitHub reported them when Armory last read each repository: for most, or later. A repository may have changed since.