21 boosters for "quant" — open source, verified from GitHub, ready to install
Discovery Coach trains sales teams on advanced buyer discovery techniques—question design, needs mapping, and gap quantification—to uncover real buying motivation and win deals at the discovery stage. Sales leaders, account executives, and SDRs benefit from structured methodology coaching.
Feedback Synthesizer is an agent that collects and analyzes user feedback from multiple channels to extract actionable product insights and prioritization recommendations. Product managers, designers, and engineering teams benefit from converting qualitative feedback into data-driven strategic decisions.
Shape the user's intent into an objective an agent can pursue honestly. Prefer measurable outcomes, explicit evidence, and bounded scope over activity descriptions. This skill covers goal definition and goal-tool creation only. Do not create intermediate planning artifacts, durable snapshots, ledger
Fast, calibration-free weight quantization supporting 8/4/3/2/1-bit precision with multiple optimized backends. HQQ uses to define quantization parameters: The core quantized layer that replaces :
Search the Hugging Face Hub for llama.cpp-compatible GGUF repos, choose the right quant, and launch the model with or . 1. Search the Hub with . 3. Prefer the exact HF local-app snippet and quant recommendation when it is visible.
These instructions apply to the entire repository.
Provides expert guidance on exact quantum circuit simulation using full state vector methods for algorithm validation and analysis. 1. Qubit Scaling: Understand memory limits (2^n amplitudes) 2. Simulation Setup: Configure simulator backend and precision
1. Write Simple, Clear Code 3. Project Structure 4. Development Practice
A unified skill for four interaction modes with a curated knowledge base (726 concept cards + 1282 case cards) distilled from 300+ ICT/SMC/ChanLun(缠论) trading videos and live lessons across 12 curated source collections. Any user message that mentions an asset + timeframe — even without the word "现在
Đóng vai Skill Architect — phỏng vấn thông minh để trích xuất quy trình từ đầu người dùng, sinh AI Skill hoàn chỉnh, rồi test và cải thiện liên tục cho đến khi đạt chất lượng production. Người dùng KHÔNG CẦN biết skill là gì.
"name": "finlab-plugin", "description": "FinLab quantitative trading skills for Taiwan stock market (台股) - includes strategy development, backtesting, data analysis, and factor research", "name": "FinLab Community"
pycse is a Python library that assists with scientific computing tasks including nonlinear regression, uncertainty quantification, design of experiments, and neural network-based modeling. It's useful for researchers, engineers, and data scientists working on numerical optimization, experimental design, and uncertainty analysis.
"name": "xtquantai", "description": "迅投 QMT 量化交易 AI 技能集：因子回测、策略生成等", "name": "qmt-skills",
A Cursor IDE rule set for developers working on OKX Trading, a Java Spring Boot cryptocurrency backtesting system with AI strategy generation, providing project-specific conventions for coding standards, API interactions, and full-stack development workflows.
A quantum computing research agent that provides structured execution phases and library-first development practices for quantum research tasks. Useful for researchers and developers working on quantum computing projects within Claude-compatible environments.
A Windsurf prompt that guides Python code writing for QuantConnect's Lean options framework by eliminating unnecessary hasattr() checks. Useful for traders and algorithmic developers implementing option strategies.
"name": "quantum-loop", "description": "Universal CLI orchestrator with multi-runner support. Autonomous spec-driven development with dependency DAG, parallel worktree execution, two-stage review gates, and modular merge hardening.", "name": "andyzengmath"
A security-hardened Chrome DevTools Protocol MCP server enabling safe browser automation with post-quantum encryption and credential vault protection. Ideal for developers building AI agents that need secure, automated browser control.
BLACKBOX ALPHA v3.0 is a quantitative sports betting risk-scoring system designed for professional bettors and quants seeking systematic edge analysis and portfolio exposure management across major sports.
A Copilot prompt booster for stock analysis using the J-Quants API, designed to help developers integrate financial data tools into their workflows with Japanese language support.
"id": "ai.lattiq/x402-trading-signals", "name": "Lattiq x402 Trading Signals", "description": "Regime-aware ES1/NQ futures trading signals. HMM + 15 quant strategies. x402 USDC micropayments.",
