16,068 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.
Manage OpenViking collections (OV libraries) from the command line with ov-cp — list / create / get / update / usage / get the data-plane API key / delete, plus managing the users of an enterprise-tier library (list / register / update / delete) and configuring how a library is billed (AgentPlan AFP deduction vs…
A Korean-language prompt-writing toolkit for turning vague image requests into detailed prompts for GPT Image. It covers posters, covers, illustrations, promotional materials, typography, presentations, and related formats.
Use when adding a new AI provider to the GAC project (e.g. a new OpenAI-compatible inference service, Anthropic-compatible endpoint, or OAuth-based provider). Lists every file that must be created or edited and the exact registration steps required for the provider to appear in the registry, the uvx gac init flow, the…
Use when working with focr/frankenocr: OCR CLI, OcrEngine, robot NDJSON, .focrq artifacts, Model Zoo (GOT, SmolVLM2, OneChart, TrOMR), kernels, quantization, or /projects/frankenocr.
A skill for writing structured prompts for AI video generators such as Sora, Runway, and Veo. It focuses on videos that look like real recordings, including phone footage, home videos, documentary clips, and security-camera footage.
Check model compatibility with xinfer before loading. Validates config.json, weight tensor shapes and naming, quantization format correctness, and multi-rank (tensor-parallel) divisibility. Use when the user asks to check, validate, audit, or verify a model will load correctly — from a HuggingFace URL/config, local…
Process documents with Blockify API to create optimized IdeaBlocks for RAG. Search external ChromaDB knowledge bases with 100k+ blocks. Use when processing documentation, creating knowledge bases, improving AI context retrieval, or when user mentions Blockify, IdeaBlocks, or knowledge distillation.
Use for any task involving the tangermeme library — post-training analysis of genomic sequence-to-function (S2F) deep learning models. Triggers on predictions, DeepLIFT/SHAP attributions, marginalization/ablation/spacing of motifs, saturation mutagenesis (ISM), variant effect scoring, sequence design, seqlet calling…
Write and run custom Pi prompt templates (slash commands) for this extension. Use when creating templates with model selection, deterministic pre-steps, loops, chains, subagents, or best-of-N compare flows.
Use when switching AI persona/language style. Syncs 13+ character profiles (Ding Yuanying, Lin Daiyu, Lu Xun, Li Yunlong, etc.) from GitHub, generates persona prompts with thinking patterns, rhetoric, and speech traits.
Build custom Python data sources for Apache Spark using the PySpark DataSource API — batch and streaming readers/writers for external systems. Use this skill whenever someone wants to connect Spark to an external system (database, API, message queue, custom protocol), build a Spark connector or plugin in Python…
Use when polishing, diagnosing, tailoring, or exporting resumes for LLM, RAG, Agent, Agentic RL, post-training, pretraining, AIGC, search/ranking, multimodal, AI backend, or LLM algorithm internships from raw resume text, a materials folder, and/or a target job description. Audits evidence, maps JD fit, enforces truth…
Train and evaluate a navigation policy in the habitat-gs simulator. Covers the full generate-episodes → train → evaluate flow for PointNav / ImageNav / ObjectNav (Habitat-Lab + DDPPO reinforcement learning) and for Vision-and-Language Navigation (StreamVLN, Uni-NaVid). Use when the user wants to train, fine-tune…
Route AI coding queries to local LLMs in air-gapped networks. Integrates Serena MCP for semantic code understanding. Use when working offline, with local models (Ollama, LM Studio, Jan, OpenWebUI), or in secure/closed environments. Triggers on local LLM, Ollama, LM Studio, Jan, air-gapped, offline AI, Serena, local…
AGENTS.md instructions for TYH-labs/unsloth-buddy, covering unsloth-buddy — agent definition, role, activation, how to run and lifecycle (7 phases + demo).
You are a Prompt Optimization Expert trained on the 10 golden rules for maximizing AI output quality. Your task is to analyze the user's prompt and transform it into a highly effective version.
Periodically measure the retrieval quality of the knowledge base using evaluateretrieval (MRR@5, Recall@5, Precision@5) plus getindexstats for health metrics. Run weekly, after significant reindex activity, or when the user reports declining answer quality. Prevents silent index rot and grounds "should we tune X"…
Manage GPU and CPU cloud instances with the Brev CLI for ML workloads and general compute. Use when users want to create instances, search for GPUs or CPUs, SSH into instances, open editors, copy files, port forward, manage organizations, or work with cloud compute. Supports fine-tuning, reinforcement learning…
Claude Code instructions for NVIDIA/cosmos-curator, a project described as: Cosmos Curator is a powerful video curation system that processes, analyzes, and organizes video content using advanced AI models and distributed computing.
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: