293 boosters for "task" — open source, verified from GitHub, ready to install
This booster equips AI coding assistants with specialized guidance for reading, creating, and editing Word documents programmatically while maintaining formatting and layout fidelity. Developers working with `.docx` files—especially those requiring professional formatting, tables, or visual validation—will find this booster invaluable.
This booster helps developers efficiently create, edit, and analyze spreadsheets in Python using openpyxl and pandas while preserving formulas and formatting. It's ideal for anyone automating spreadsheet workflows or performing data analysis tasks programmatically.
Enables AI assistants to programmatically create and edit PowerPoint presentations using PptxGenJS with layout helpers and validation utilities. Developers and content creators benefit from automating slide deck generation, modification, and troubleshooting.
Automates Outlook Calendar operations like creating events, managing attendees, and scheduling meetings through Rube MCP integration. Useful for developers building agentic systems that need programmatic calendar control.
Deep Agents is a system prompt for building intelligent agent assistants with planning, filesystem, and sub-agent capabilities across Claude and other AI platforms. It benefits developers building complex agentic workflows who need structured, production-ready agent behavior.
This booster enables developers and Obsidian power users to programmatically interact with their Obsidian vaults—reading, creating, and searching notes—as well as develop and debug plugins directly from the command line. It's ideal for users who want CLI-based vault automation or are building Obsidian extensions.
Tiebreakers when the request is ambiguous: "embedding model" / "vector search" / "similarity" → [SentenceTransformer]. "rerank" / "ranker" / "two-stage" → [CrossEncoder]. "SPLADE" / "sparse" / "inverted index" → [SparseEncoder]. If still unclear, ask. Override only if the user specifies otherwise: T
Your purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping and intermediate processing where helpful. You can access the API directly, as well as use the command line tool. Model and Dataset cards can be accessed from repos
Train language models using TRL (Transformer Reinforcement Learning) on fully managed Hugging Face infrastructure. No local GPU setup required—models train on cloud GPUs and results are automatically saved to the Hugging Face Hub. Use this skill when users want to: Use Unsloth () instead of standard
Finds the best models for a task by querying official HF benchmark leaderboards, enriching results with model size data, filtering for what fits on the user's device, and returning a comparison table with benchmark scores.
Transformers.js enables running state-of-the-art machine learning models directly in JavaScript, both in browsers and Node.js environments, with no server required. Use this skill when you need to: The pipeline API is the easiest way to use models. It groups together preprocessing, model inference,
Build and publish a Gradio demo on Hugging Face Spaces that runs inference with a user-provided LoRA. Use whenever someone asks to create, generate, ship, or publish "a Space", "a demo", "a Gradio app", or "a playground" for a LoRA — whether the base model is Qwen-Image, Qwen-Image-Edit, LTX, or ano
"name": "huggingface-skills", "description": "Agent Skills for AI/ML tasks including dataset creation, model training, evaluation, and research paper publishing on Hugging Face Hub", "name": "Hugging Face"
Run any workload on fully managed Hugging Face infrastructure. No local setup required—jobs run on cloud CPUs, GPUs, or TPUs and can persist results to the Hugging Face Hub. Use this skill when users want to: When assisting with jobs:
This skill enables users to run Python workloads, Docker jobs, and GPU-intensive tasks on Hugging Face's managed infrastructure without local setup. It's valuable for ML engineers, data scientists, and developers needing cloud compute for training, inference, and batch processing.
A skill that generates reusable command-line scripts for automating Hugging Face API interactions, useful for developers who need to repeatedly fetch, process, or chain API calls.
A skill for fine-tuning and training language models on Hugging Face's cloud GPU infrastructure using TRL, supporting SFT, DPO, GRPO methods and GGUF conversion for local deployment. Developers and ML engineers working with cloud-based model training benefit from this comprehensive guidance.
Do NOT check or review pull requests. Do NOT call commands. Run CodeRabbit locally against the working repository only. From the output, extract for each finding:
You are an elite CLAUDE.md auditor and documentation integrity specialist. Your sole purpose is to ensure every file and file in the project accurately reflects the current codebase state. You work autonomously: discover, analyze, and fix documentation drift without manual guidance. You are method
You are an elite code quality engineer specializing in automated code quality remediation. Your sole purpose is to ensure the codebase passes all quality checks by iteratively fixing issues until the codebase is clean. You operate in a loop where each iteration is delegated to a subagent via the Tas
"name": "playwright-skill", "description": "Claude Code Skill for general-purpose browser automation with Playwright. Auto-detects dev servers, writes clean test scripts to /tmp, and autonomously handles any browser automation task.", "repository": "https://github.com/lackeyjb/playwright-skill",
Try these methods in order. Use the first one available: If is wired as a SessionStart hook in , is injected into context automatically at session start. Skip step 1 below. To wire it: or run .
Bexio integrates Swiss business software capabilities into Claude Code for managing contacts, invoices, quotes, and sales orders. Developers and business automation specialists benefit from streamlined CRM and accounting workflows.
"name": "korean-law-mcp", "description": "국가법령정보센터 API 기반 MCP 서버 - 한국 법령 조회·비교 도구", "main": "build/index.js",
