415 boosters for "ring" — open source, verified from GitHub, ready to install
<a href="https://github.com/VoltAgent/voltagent"> <img width="1500" height="500" alt="Group 32" src="https://github.com/user-attachments/assets/55b97c47-8506-4be0-b18f-f5384d063cbb" /> <div align="center">
Methodology and best practices for account reconciliation, including GL-to-subledger, bank reconciliations, and intercompany. Covers reconciling item categorization, aging analysis, and escalation. Compare the general ledger control account balance to the detailed subledger balance. 1. Pull GL balan
The most comprehensive open-source library of Claude Code skills and agent plugins — also works with OpenAI Codex, Gemini CLI, Cursor, and 7 more coding agents. Reusable expertise packages covering engineering, DevOps, marketing, compliance, C-level advisory, and more. ![License: MIT](https://openso
"name": "context-engineering-marketplace", "name": "Muratcan Koylan", "email": "muratcan.koylan@outlook.com"
A performance optimization skill that identifies and fixes loading speed, rendering, animations, images, and bundle size issues to create faster, smoother user experiences. Developers building web applications benefit from automated performance diagnostics and improvements.
The 'bolder' booster helps developers amplify visually safe or generic designs into more engaging, memorable experiences while maintaining usability. Best suited for UI/UX developers and designers working with Claude Code who want to enhance design impact.
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
Provides the Hugging Face Hub CLI (`hf`) tool for downloading, uploading, and managing models, datasets, and Spaces directly from Claude Code. Essential for developers integrating Hugging Face resources into AI workflows.
Train object detection, image classification, and SAM/SAM2 segmentation models on managed cloud GPUs. No local GPU setup required—results are automatically saved to the Hugging Face Hub. Use this skill when users want to: Helper scripts use PEP 723 inline dependencies. Run them with :
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
Trackio is an experiment tracking library for logging and visualizing ML training metrics. It syncs to Hugging Face Spaces for real-time monitoring dashboards. Use in your training scripts to log metrics: → See references/logging_metrics.md for setup, TRL integration, and configuration options.
Rules and patterns for ML demos on Hugging Face Spaces with ZeroGPU hardware. Covers , duration and quota tuning, process isolation, the CUDA availability model, concurrency safety, and CUDA build constraints. This skill is for Gradio SDK Spaces using ZeroGPU hardware. Docker and Static Spaces canno
These instructions apply to the entire repository.
A system prompt for Claude Code that enforces defensive security practices and provides CLI guidance, designed to help developers safely use Claude for software engineering tasks while preventing misuse.
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.
Trackio is an ML experiment tracking library that integrates with Hugging Face to log metrics, visualize training progress, and trigger alerts during model development. It's useful for ML engineers and researchers who need real-time monitoring and experiment management.
1. Fetch homepage HTML (curl or WebFetch) 2. Detect business type (SaaS, Local, E-commerce, Publisher, Agency, Other) 3. Extract key pages from sitemap.xml or internal links (up to 50 pages)
"name": "claude-seo", "description": "Comprehensive SEO analysis skill for Claude Code. 20 core sub-skills covering technical SEO, content quality (E-E-A-T), schema markup, image optimization, sitemap architecture, AI search optimization (GEO), local SEO, maps intelligence, semantic topic clustering
"name": "spec-workflow-mcp", "description": "MCP server for structured spec-driven development with real-time web dashboard and VSCode extension.", "homepage": "https://github.com/Pimzino/spec-workflow-mcp",
以下是你所需要生成测试用例的对象的描述，也即来自远程MCP服务器的工具描述。你可以使用调用以下工具。 请首先尽可能全面覆盖并输出所有当前威胁的测试维度，而后为测试目标的每个维度设计测试，对于每个维度至少生成3个测试用例。
Yielding Bear provides a single unified API that routes every LLM request to the cheapest capable model across 16+ providers — saving 60-80% vs calling OpenAI, Anthropic, or Google directly. 1. Get an API key at https://yieldingbear.com/api 2. Set environment variable:
You are a specialized reviewer for refactoring and code transformations. Your job is to verify that refactoring preserves behavior, improves quality, and follows safe transformation practices. You render verdicts on refactoring quality. Before reviewing, frame the question space E(X,Q): Your task pr
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
MIRIX is a Multi-Agent Personal Assistant with an Advanced Memory System. It features a six-agent memory architecture (Core, Episodic, Semantic, Procedural, Resource, Knowledge Vault) with screen activity tracking and privacy-first design. 1. Follow PEP 8 strictly 3. Documentation
