Best AI and LLM engineering skills, page 8

A skill your agent uses to turn an AI idea or existing repository into a credible open-source product and to run evidence-first repository engineering across codebase discovery, context-efficient…

sun461941-hub/ai-project-copilot

口播稿，适用于 AI 技术科普、Agent/Skill/RAG、LLM 等底层原理讲解，以及面试题拆解、工具实测、热点普及。支持两种用法：给定主题从零产出口播稿、对已有口播稿进行优化。触发关键词包括：口播、口播稿、video script。

itwanger/toBeBetterJavaer

Transcribe local audio or video with Volcengine Doubao file ASR, including BigASR 1.0 Turbo direct upload and asynchronous 1.0 standard, 1.0 idle, or 2.0 standard jobs through TOS.

ysyecust/lecture-to-notes

Benchmark a third-party coding-agent harness against FrontierHarness Eval using Runta runtimes.

frontier-harness-eval/eval

Diagnose broken Hugging Face Gradio Spaces from their actual logs and pinned source, then prepare a minimal verified source fix as candidate files.

huggingface/hf-mcp-server

Add a cross-cutting decision pattern under src/nemotron/steps/patterns/.

NVIDIA-NeMo/Nemotron

Explain the IM+Agent framework: create+send as minimal primitives, IM system vs agent loop separation, message vs llmHistory, and the recursive property.

chmod777john/swarm-ide

A skill your agent uses when installing, verifying or configuring OMNI, when command output carries an [OMNI: ...] marker, or when output looks shorter than expected.

fajarhide/omni

Helps an agent write ComfyUI custom nodes in Python, including wrapping an existing script, mapping data types and handling image batches.

ConstantineB6/comfy-pilot

CUDA kernel development, debugging, and performance optimization for Claude Code.

technillogue/ptx-isa-markdown

Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration.

MoizIbnYousaf/ai-agent-skills

Review RAG designs or accessible implementations for extraction failures, deterministic facts, evidence routing, source versioning, code retrieval, and memory boundaries.

FinanceFlash/unvibecode

A skill your agent uses when running, debugging, interpreting, or documenting mesh-llm benchmark tune model-serving throughput trials, including choosing…

Mesh-LLM/mesh-llm

Migrate Python Agno applications to Pydantic AI and, only when needed, Pydantic AI Harness.

pydantic/pydantic-ai

Real-time depth map privacy transforms using Depth Anything v2 (CoreML + PyTorch)

SharpAI/DeepCamera

Read Tessera satellite embeddings with the geotessera Python library.

ucam-eo/geotessera

Measure whether a change makes Chat's styling replies better, with yarn eval:chat — it runs styling requests on recorded real pages for two versions of Stylebot and measures on the page whether each…

ankit/stylebot

LLM provider initialization for bridgic projects. An agent skill from bitsky-tech/bridgic.

bitsky-tech/bridgic

Scaffold a brand-new Comet example in this repo from the canonical template under templates/integration-example/.

comet-ml/comet-examples

Adapt AutoRound to support a new LLM architecture that doesn't work out-of-the-box.

intel/auto-round

Cost-optimize AI agent operations by routing tasks to appropriate models based on complexity.

zscole/model-hierarchy-skill

Create, track and update team goals in Hivemind via the hivemind CLI.

activeloopai/hivemind

A skill your agent uses when you need to store, retrieve, search, or manage documents in a local knowledge base with semantic search and hybrid (vector + full-text) retrieval.

andrea9293/mcp-documentation-server

Cross-harness orchestrator for AI coding work. An agent skill from alexgreensh/outsourcerer.

alexgreensh/outsourcerer

Iteratively optimize a CUDA/CUTLASS/Triton kernel only when strict on-device compilation, correctness, timing, and NCU evidence gates pass.

KernelFlow-ops/cuda-optimized-skill

Interact with Langfuse and access its documentation: tracing, monitoring, creating datasets, running experiments, and evaluating AI applications.

langfuse/skills

Capture and organize general facts about the user by topic. An agent skill from memodb-io/Acontext.

memodb-io/Acontext

Generate a fact-checked academic personal homepage from a CV, optionally augmented by an existing manual homepage and an assets directory.

wanshuiyin/ARIS-in-AI-Offer

Create or operate a portable, auditable Chinese book-review short-video workflow from a clean local workspace.

jaxxchen003/book-video-factory

Look up what a Biohub ESM-C sparse-autoencoder (SAE) feature means — its label, description, top-activating proteins, decoder neighbours, and activation statistics — by querying the Biohub…

softnanolab/bagel

驱动 One-Eval 对 API 或本地模型做端到端评测，覆盖纯文本、多模态、代码生成、函数调用和 Agent benchmark。当用户想评测模型在一个或多个 benchmark 上的表现、比较分数、补充 metric，或生成图文评测报告时使用本 skill。

OpenDCAI/One-Eval

Runs LLM-based rubric judging on agent output and loops revise-and-rejudge rounds until a quality threshold is met.

greyhaven-ai/autocontext

Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods.

Orchestra-Research/AI-Research-SKILLs

Trigger the bot-cherry-pick workflow for a batch of merged PRs onto a release branch and monitor each run to completion.

sgl-project/sglang

Search local documents, files, notes, and knowledge bases. An agent skill from gmickel/gno.

gmickel/gno

Search and recall relevant memories from past sessions via memsearch.

zilliztech/memsearch

Diagnose failed, hung, slow, OOM, NaN, illegal-memory-access, NCCL, compilation, rollout, or training runs in AReno.

inclusionAI/AReno

在 Paddle 代码库中定位问题并输出高质量调试报告的专用技能。当遇到以下场景时优先使用：(1) Paddle 框架 bug 调试，(2) 算子实现问题排查，(3) 训练脚本异常诊断，(4) 分布式训练故障定位，(5) CUDA/GPU 相关错误处理，(6) 需要生成结构化调试报告。

PaddlePaddle/Paddle

Port a PyTorch model to use pyrefly's tensor shape type system (Tensor[[B, C, H, W]], Int[T]).

facebook/pyrefly

Cross-check RLinf documentation against code, natural explanation flow, and other docs, including English-Chinese parity.

RLinf/RLinf

在发布前评估 Agent Skill bundle 的结构完整性、触发质量、产物改进、脚本正确性、安全性、已安装目录树完整性和目标宿主可移植性。

fancyboi999/ai-engineering-from-scratch-zh

Write and run custom Pi prompt templates (slash commands) for this extension.

nicobailon/pi-prompt-template-model

Helps design and build AI agents for any domain around a minimal loop of capabilities, knowledge and context, adding planning or subagents only when needed.

shareAI-lab/lab-skills

Drives a self-hosted Open Notebook instance to organize sources into notebooks, chat with documents, generate notes and multi-speaker podcasts, and search across material.

agent-skills-hub/agent-skills-hub

Benchmark and profile the Dynamo frontend (dynamo.frontend HTTP + tokenizer + KV router) against mock workers (dynamo.mocker).

ai-dynamo/dynamo

Finds llama.cpp-compatible GGUF models on the Hugging Face Hub, picks a quantization for your hardware and launches them with llama-cli or llama-server.

huggingface/skills

Trains and fine-tunes object detection, image classification and SAM or SAM2 segmentation models on Hugging Face Jobs cloud GPUs and saves the results to the Hub.

huggingface/skills

Lays out a minimal, iteration-first approach to writing system prompts for LLM agents, with model-specific notes for Claude, GPT, Gemini, and Codex.

cashew-labs/libretto