13,567 mods in this category, of every kind an agent can take. Each one carries what it costs per session, what the scan found, and whether it is the original.
Skill Claude CodeCodex
Write keyboard-only test variants and focus management checks using Playwright: navigation patterns, focus expectations, helpers, and file structure conventions.
AlexWortega/claude-autoresearch-skill
Skill Claude CodeCodex
Autonomously research an ML task and run MANY bounded experiments to find the best config — a fixed-budget edit→train→eval→keep-or-discard loop in the spirit of karpathy/autoresearch, wrapped in the ml-intern orchestrator model and fanned out with a Claude Code dynamic workflow. Runs LONG: an iterative generational…
quantskills/skill-quant-factor-skill-factory
Skill Claude CodeCodex
Use when converting OHLCV alpha ideas into QuantSkills organization factor Skills, batch-generating non-duplicate framework-neutral quant factor Skill folders, validating them on cached real market data such as AkShare A-share and Yahoo US data, and writing factor evaluation reports.
diegosouzapw/awesome-omni-skill
Skill Claude CodeCodex
LLM prompt management and evaluation platform. Version prompts, run A/B tests, evaluate with metrics, and deploy with confidence using Agenta's self-hosted solution.
Skill Claude CodeCodex
Generate production-grade prompts following patterns extracted from Claude Code source. Use when writing system prompts, tool descriptions, agent instructions, compression prompts, or any structured LLM prompt. Triggers on "write a prompt", "generate prompt", "design prompt", "create instructions for".
Skill Claude CodeCodex
Use when working in Go and you need DataList/DataTable-style data wrangling, quick previews, parallel transforms, file I/O (CSV/Excel/Parquet), Excel-like column formulas (CCL), or charts; also use when data analysis is requested without a specified stack, defaulting to Go + Insyra over Python + pandas.
Plugin Claude Code
Bundles 7 skills, 1 MCP server · 547 tokens together
Skills for finding, comparing, running, and prompting AI models on Replicate.
MCP server Claude CodeCodexCursor +2
CLI-first semantic code search with MCP integration and interactive D3.js visualization for exploring code relationships. Runs locally from the mcp-vector-search Python package.
Plugin Claude Code
Bundles 4 skills · 286 tokens together
Build SQL database pipelines with dlt: connect to any SQL source, load tables to a destination, tune performance with backends.
Skill Claude CodeCodex
Use when optimizing or iterating on prompts for a student LLM — a prompt produces wrong-shaped output, hallucinations, refusals, poor instruction-following, or when migrating a prompt between models with different quirks. Also use when hardening a prompt against indirect prompt injection from untrusted external data.
Plugin Claude Code
Bundles 10 skills, 2 hooks · 1,462 tokens together
Integrate DTensor-based context parallelism (CP) into a custom co-folding / structure-prediction model — sharding the O(N²) pair and attention tensors across a multi-GPU device mesh via explicit ring/transpose collectives. A top-level cpizemodelworkflow conductor prioritizes, sequences, and gates the whole effort end.
Skill Claude CodeCodex
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV…
Skill Claude CodeCodex
OpenAI-compatible LLM gateway for any client-side application (browser, mobile, React Native, Flutter, VS Code extensions, browser extensions, Electron, smart TV, and more). Routes requests to OpenAI, Anthropic, Gemini, Groq, Mistral, and 200+ models, handling CORS, key encryption, and streaming without a dedicated…
Cursor rule Cursor
Openground is a tool for extracting framework and library documentation from official sources (sitemaps and git repos) and making it queryable by AI coding agents. It consists of.
Plugin Claude Code ✓ vendor
Bundles 16 skills · 1,870 tokens together
Skills for streaming application developers, covering Kafka and Flink client libraries and Schema Registry.
MCP server Claude CodeCodexCursor +2
MCP server exposing local Flowise chatflows as callable tools. Runs locally from the mcp-flowise Python package.
Seeed-Projects/Seeed-Jetson-DevelopTool
Skill Claude CodeCodex
Deploy a knife detection model on Triton Inference Server using reComputer J1010 for X-ray security scanning, with Raspberry Pi clients sending images for inference and displaying detection results.
Skill Claude CodeCodex
Configure the Ask AI (RAG-powered AI chat) in @farming-labs/docs. Use when enabling AI chat, setting mode (search vs floating), floatingStyle (panel, modal, popover, full-modal), position, providers, models, suggestedQuestions, apiKey, systemPrompt, or maxResults. Covers Next.js, SvelteKit, Astro, Nuxt and env vars.
Skill Claude CodeCodex
Use Google Gemini for image generation, text chat, file analysis, URL/YouTube analysis, and multi-turn conversations via MCP. Triggers on requests to generate images with Gemini, chat with Gemini, analyze files/URLs/videos with Gemini, use Gemini models, or when user asks to create/edit images and needs prompting…
Skill Claude CodeCodex
Add an AI agent / RAG backend (@convex-dev/agent) to the Convex app.
Skill Claude CodeCodex
Create an AI Product Strategy Pack (thesis, use cases, system plan, eval plan, roadmap).
Skill Claude CodeCodex
You drive the four-stage tabular ML pipeline end-to-end by spawning the existing per-role Hermes profiles. You are the operator-facing entry point.
Plugin Claude Code
Bundles 1 skill, 6 commands · 0 tokens together
Local RAG system with embedded Multi-Agent Framework for Claude Code plugin.
opensearch-project/opensearch-agent-skills
Plugin Claude Code
Bundles 13 skills · 1,306 tokens together
OpenSearch skills to help set up and deploy OpenSearch for a variety of use cases: build search applications with semantic, hybrid, neural sparse, and agentic search strategies; analyze observability data with log analytics (PPL and Query DSL) and distributed traces (OpenTelemetry); deploy to Amazon OpenSearch Service.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: