14,252 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.
Operates the syntx.ai MCP tools (chat, ask, stream-message, files, design, audio, video, folders, auth, model catalog). Use when calling syntx-ai-mcp tools and the JSON schema alone is insufficient — long prompts that exceed the default ask timeout, model identifier selection, chat lifecycle (create / continue /…
Audit a dbt project for what an AI agent will get wrong if you point it at the data today: wrong metric, wrong table, missed rows, broken joins. Produces one evidence-backed report with blockers, verification queries, and a safe starting perimeter.
★not rated 11 2mo agoA
tokens not measured
originalMIT
A guide for writing, rewriting, and reviewing prompts and instructions for coding agents. It examines how each sentence affects what an AI model produces, including files such as AGENTS.md and skill instructions.
Adapt any prompt to fit Claude Fable 5 (claude-fable-5) without losing its meaning: optimize structure per Fable's prompting guidance, clarify legitimate intent to avoid false-positive refusals, and flag mechanical API incompatibilities.
★not rated 10▲
+3 3mo agoA
tokens not measured
originalMIT
Use when translating Brazilian Portuguese messages into English prompts for Claude Code — preserves intent, clarifies ambiguity, and surfaces urgency signals that colloquial Portuguese would lose.
Guide for training PyTorch models using this template's config-driven pipeline. Use this skill whenever the user wants to: train a model, create experiment configs (run.yaml / opt.yaml / best.yaml), run hyperparameter optimization (HPO) with Optuna, extract best parameters from an HPO study, set up a new experiment…
Skill "notebookmd" from minhlucvan/notebookmd, covering notebookmd — ai agent data analysis skill, quick start, installation, when to use this skill and core concepts.
Safeguard LLM calls using adaptive/extended thinking against token truncation. Use this skill when configuring API parameters for reasoning models (like Claude 3.7 Sonnet), when structured JSON outputs are returned unparseable or incomplete, or when designing cost-sensitive pipelines that utilize LLM reasoning.
MCP server "jupyter" as configured in jrgleason/embeddings-demystified. Runs in Docker (datalayer/jupyter-mcp-server:latest). Needs 2 environment variables to run.
Build Python data pipelines that liberate structured data from unstructured and semi-structured sources — government PDFs, FOIA releases, scanned reports, scraped HTML, panel-format spreadsheets — into tidy, documented, reproducible civic datasets. Works at six escalating levels, from a one-shot "just give me the CSV"…
A Model Context Protocol (MCP) server for OpenRouter API with Collective Intelligence - Multi-model consensus, ensemble reasoning, and collaborative problem solving. Runs locally from the @physics91/openrouter-mcp npm package.
★not rated 10 1mo agoA
tokens not measured
originalMIT
Operate and evaluate Unified AI System through fifteen governed MCP tools, including provider-free prompt enhancement, while preserving fake-provider, authorization, and evidence boundaries.
Agent skills for the River API — write correct training scripts with the river-client Python package: LoRA fine-tuning, SFT, and RL/GRPO on River-hosted models.
★not rated 10 1mo agoA
tokens not measured
originalApache-2.0
Scaffolds a new AI Provider plugin for the Drupal AI module. Asks which operation types the provider supports (chat, embeddings, text-to-image, etc.), then generates the plugin class with the correct interface implementations, authentication setup, and model discovery.
MCP server for Ultralytics Platform projects, datasets, training, prediction, exports, and models. Runs locally from the ultralytics-mcp npm package. Needs 2 environment variables to run.
★not rated 10 2d agoASocket: warn
tokens not measured
originalMIT
Official Upstage AI bundle for Claude Code — Solar models, document processing (OCR, parse, classify, extract), schema generation, Studio agent workflows, multi-API builder for webapps, and the BotMadang community client. One install activates all 9 skills with auto-trigger by description.
★not rated 9 6mo agoA
tokens not measured
originalMIT
A production-ready Model Context Protocol (MCP) server for Google Cloud Dataproc operations. Provides intelligent defaults, comprehensive tooling, and seamless integration with Roo (VS Code) for big data workflows. Runs locally from the @dipseth/dataproc-mcp-server npm package.
★not rated 9 11mo agoA
tokens not measured
originalMIT
MCP server "local-knowledge-rag" as configured in patakuti/local-knowledge-rag-mcp. Runs /path/to/local-knowledge-rag-mcp/dist/mcp-server.js with node. Needs 3 environment variables to run.
★not rated 9 27d agoA
tokens not measured
originalMIT
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: