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MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop
OfficialSkillMIT★ 40k in collectionNo key
Agent-driven proactive memory CLI for AI agents — autonomously recall, maintain, and evolve persistent, source-grounded knowledge across sessions.
SkillApache-2.0★ 67No key
MCP-compatible LLM gateway that proxies completion requests to downstream OpenAI-compatible providers.
SkillMITFew starsNo key
Turn one prompt into a finished MP4. An AI agent skill for Claude Code, Cursor, Codex & Windsurf that generates TikTok/Reels/Shorts, YouTube intros, startup hero loops & data explainers — with AI voic
SkillMIT★ 30No key
Turn any rough prompt, half-formed idea, or task description into a finished, ready-to-send prompt optimized for any LLM model inside a chat interface — NOT the API. Use this skill whenever the user w
OfficialSkillMIT★ 40k in collectionNo key
A persistent, compounding knowledge base combining Karpathy's LLM Wiki pattern with a structured knowledge graph. Ingest documents once — the LLM writes wiki pages, extracts entities/relations into th
OfficialSkillMIT★ 40k in collectionNo key
OpenClaw skill for scraping ChatGPT, Gemini, Perplexity and Grok responses. Built for AI agents and GEO monitoring.
SkillLink only★ 3Few stars
LLM Wiki skill for Claude Code — Karpathy LLM Wiki pattern, batteries included
SkillMIT★ 23No key
Strip LLM writing patterns from prose, code comments, and commits — CLI, Claude Code skill, Cursor rule, and LLM system prompt.
SkillMIT★ 12No key
Adds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then implement instrumentation after user confirmation. Use when the use
OfficialSkillMIT★ 40k in collectionNo key
Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training method
OfficialSkillLink only★ 11k in collection
Improve AI application with evaluation-driven development. Define eval criteria, instrument the application, build golden datasets, observe and evaluate application runs, analyze results, and produce
OfficialSkillMIT★ 40k in collectionNo key
Task-plan driven SEO and LLM-friendly website skill cluster
SkillMIT★ 40No key
Benchmark Jetson LLM/VLM serving performance across vLLM, llama.cpp, and Ollama with structured JSON output.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Stand up vLLM or SGLang serving on Jetson, using upstream vLLM on Thor and Orin JetPack 7.2+, and NVIDIA-AI-IOT vLLM on older Orin.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Agent skills that turn your scientific reading and research history into persistent LLM-maintained markdown wikis, not one-shot RAG. For Claude Code + Codex CLI
SkillMIT★ 12No key
Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-criti
OfficialSkillMIT★ 40k in collectionNo key
Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and cont
OfficialSkillMIT★ 40k in collectionNo key
Downloads, exports, and inspects existing Arize traces and spans to understand what an LLM app is doing or debug runtime issues. Covers exporting traces by ID, spans by ID, sessions by ID, and root-ca
OfficialSkillMIT★ 40k in collectionNo key
Build and run evaluators for AI/LLM applications using Phoenix.
OfficialSkillApache-2.0★ 40k in collectionNo key
Afu · LLM Todo: turn an Obsidian inbox into a living wiki, then into todo cards for this week.
SkillMIT★ 87No key
Create, refine, or fix NVIDIA voice agents (Cascaded or Omni) with Pipecat or LiveKit. Use when building, scaffolding, or iterating on a real-time voice-agent pipeline, including speech (ASR/TTS) cust
OfficialSkillCC-BY-4.0 AND Apache-2.0★ 3.6k in collectionNo key
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