15 skills found
rwi001 / polarsFast in-memory DataFrame library for datasets that fit in RAM
huang-sh / pytorch-fsdpAn open-source, model-agnostic AI workbench for scientific discovery.
VernonOY / alpha-skillsQuantitative factor research skills for AI coding assistants
majiayu000 / bio-microbiome-functional-predictionPredict metagenome functional content from 16S rRNA marker gene data using PICRUSt2. Infer KEGG, MetaCyc, and EC abundances from ASV tables
WPeace-HcH / wpegpt-analyzer驱动 IDA 配合 WPeGPT 插件对二进制可执行文件(PE/ELF)进行自动化逆向分析,输出包含程序用途、网络 IoC、可疑函数及漏洞评估的结构化报告。
finos / FDC3An open standard for the financial desktop.
hbhqq9 / bde-score🏆 Open-source multi-factor stock scoring API (0-100) | US/HK/A-Share 74 stocks | Zero signup | shields.io badges | GitHub Action | EU AI Act compliant
alunadev / prompt-engineering-patternsA library of reusable, production-tested prompt engineering patterns for building AI-powered features
phenomenoner / neoapi-skill富邦新一代(Fubon Neo)Python 技能包:交易與行情工作流、測試環境整合測試、多代理(Codex/Claude/Gemini)適配。
JungHoonGhae / tossinvest-cli토스증권을 AI 에이전트와 터미널에서 다루는 도구. CLI 와 MCP 서버로 계좌·시세·주문은 물론 웹앱 전용 기능(수급·AI 시그널·스크리너·배당)까지, JSON·CSV 구조화 출력으로 AI 도구·자동화에 바로 연동.
microprediction / preciseOnline (incremental) covariance, correlation, and precision estimation in Python — the streaming complement to sklearn.covariance
NeuralBlitz / data-mining-interpretation-fundamentalThis skill enables interpretation in the domain of data-mining (data-science). It represents fundamental-level expertise and is designed for production use in research, industry, and educational contexts. Use this skill when you need to perform interpretation operations related to data-mining.
guocong-bincai / mcpSmartPromptor MCP服务调用规范
shlomiuziel / asher-mcpA Personal Financial Data MCP Server over the israeli-bank-scrapers package
Nikolai-Iakubovskii / app-paywall-pilotA framework for designing App Store-compliant subscription paywalls. 4 layers: AI skill (Claude/GPT/Cursor) + knowledge base (79 sourced benchmarks) + Python LTV tool + docs. 20-concept academic foundation (Kahneman + Layer 2).