115 boosters for "har" — open source, verified from GitHub, ready to install
❶ One is a new React framework - target web and native with a single Vite plugin and fully shared code, so you can ship cross-platform nearly as easy as single-platform.
Heuristic scoring (no AI key configured).
.env files built for sharing powered by @env-spec decorator comments
"description": "Agent Team & Skill Architect — Meta-skill that designs agent teams, defines specialized agents, and generates skills for your domain/project. 도메인/프로젝트에 맞는 하네스를 구성하고, 전문 에이전트를 정의하며, 에이전트가 사용할 스킬을 생성하는 메타 스킬.", "url": "https://github.com/revfactory" "homepage": "https://github.com/revf
Browse once, cache the APIs, reuse them instantly. First call discovers and learns the site's APIs (~20-80s). Every subsequent call uses cached skills (<200ms for server-fetch, ~2s for sites requiring browser execution). When the task touches docs, install guidance, eval claims, landing-page copy, r
Matchms enables mass spectrometry data processing and spectral analysis for metabolomics research, supporting multiple file formats and similarity calculations. Researchers and bioinformaticians working with MS data benefit from standardized workflows and compound identification.
XerahS is a cross platform reimagining of the ShareX user interface built with Avalonia. It targets modern UX modular architecture and long term maintainability while preserving core workflows speed and reliability. It provides a foundation for future desktop experiences on Windows, macOS, and Linux
Matchms is a Python library for mass spectrometry data processing, enabling researchers to import spectra from multiple formats, standardize metadata, calculate spectral similarities, and perform metabolomics analysis within Claude Code environments.
cam-run is a webcam-based running game that uses AI to guide player movements in real-time, combining Three.js 3D graphics with MediaPipe pose detection for interactive fitness gaming.
Matchms is a Python library for mass spectrometry data processing, enabling researchers to load, standardize, and analyze spectral data from multiple formats (mzML, MGF, MSP) with similarity matching for metabolomics and compound identification workflows.
Run this bash block first, before any analysis: This is the first time clearshot is running — no config exists yet. Before doing any analysis, tell the user to run the onboarding setup. Say something brief like: "clearshot needs a quick first-run setup (two questions, arrow keys + enter):"
Analyze, review, and provide recommendations for distributed system designs. Use when: (1) Reviewing existing system architectures for gaps or improvements, (2) Analyzing system designs for scalability, reliability, or performance issues, (3) Providing recommendations on load balancing, caching, databases, sharding, replication, messaging, rate limiting, authentication, resilience, or monitoring, (4) Assessing trade-offs in system design decisions, (5) Creating system design review documents with gaps and recommendations. Triggers: "review my system design", "analyze this architecture", "what are the gaps", "system design recommendations", "scalability review", "reliability analysis".
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 scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
"name": "@ticktockbent/charlotte", "description": "Token-efficient browser MCP server — structured web pages for AI agents, not raw accessibility dumps", "main": "dist/index.js",
Teaches developers to write JavaScript leveraging Brendan Eich's core design principles—first-class functions, prototypes, and dynamic typing—for more idiomatic and powerful code. Best for intermediate to advanced developers wanting to deepen their JavaScript fundamentals.
A Copilot instruction set for developing and maintaining the Chart.js trendline plugin, providing coding guidelines, project structure, and workflow tips for linear regression visualization in charts.
NCP is an MCP orchestration server that provides smart tool discovery, on-demand loading, and scheduling across multiple AI platforms (Claude, OpenAI, Gemini). It benefits developers and AI agents needing unified access to distributed tools while optimizing token usage and performance.
This skill encodes the complete design specification for professional business presentations — a consultant-grade PowerPoint framework based on McKinsey design principles. It includes: All specifications have been refined through iterative production feedback to ensure visual consistency, profession
"description": "Harness Engineering plugin exposing executable fitness functions for architecture quality, change-aware validation, and MCP-powered review context.", "version": "0.1.14", "homepage": "https://github.com/phodal/entrix",
Econumo Copilot Instructions provide developers with repository guidelines and development commands for a self-hosted personal finance app built on Symfony, Vue 3, and SQLite/PostgreSQL. Developers working on or integrating with Econumo benefit from quick access to setup, testing, and architecture information.
Automates end-to-end testing of the Shards CLI after code merges by executing a comprehensive test suite and reporting results. Developers maintaining Shards benefit from streamlined test execution and validation.
"name": "@pan-sec/notebooklm-mcp", "version": "2026.2.11", "mcpName": "io.github.Pantheon-Security/notebooklm-mcp-secure",
Nereid enables real-time collaborative diagram editing in Mermaid through an MCP-powered TUI interface, with attention-coordination features for sequence diagrams and flowcharts. Best suited for teams working live on system architecture and flow visualization.
