Query AND UPLOAD to Google NotebookLM. Create new notebooks, upload local files (PDF/MD/TXT), add URLs, paste text content. Browser automation with persistent auth.

- **名称**：Addax

This document covers the core workflows for using the `gs_quant` library: establishing a session, constructing and resolving instruments, building portfolios, pricing historically, and extracting results.

This document defines mandatory rules for any LLM working on the codebase.

Interact with Mission Control — AI agent orchestration dashboard. Use when registering agents, managing tasks, syncing skills, or querying agent/task status via MC APIs.

threat-modeling

pretty-mermaid

AI 에이전트가 실행 중인 Chrome 브라우저와 직접 상호작용할 수 있게 해주는

Expertise in creating accurate, transparent financial models for AI adoption ROI calculations, vendor cost comparisons, and budget planning for R&D leaders.

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OpenCLI — Make any website your CLI. Zero risk, AI-powered, reuse Chrome login.

Turns an Asana bug report into a fully briefed Codeman worktree that autonomously runs the full fix-to-PR pipeline. Source is Asana for v1.

load("//bzl/valdi:valdi_module.bzl", "valdi_module")

Create a well-structured skill — provide a topic to explore the codebase and build a skill interactively, or capture a workflow from the current session

Enhanced Fix Code Smells skill migrated from developer competency

Deploy and manage censorship-resistant static websites on the Nostr network using nsyte CLI. Covers installation, project setup, configuration, authentication (NIP-46 bunkers), deployment to Blossom servers, CI/CD automation, and troubleshooting. Use when the user mentions nsyte, nsite, Nostr site hosting, Blossom uploads, or decentralized web publishing.

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Исследование технологий RAG/ML/Python: embeddings, vector search, reranking, chunking, Qdrant, sentence-transformers, ColBERT, sparse vectors. Триггеры: 'как работает RAG', 'что такое embeddings', 'reranking', 'chunking strategies', 'vector search', 'BM25', 'graph RAG', 'Qdrant API', 'sentence-transformers', 'ColBERT', 'FAISS', 'sparse vectors', 'hybrid search'. НЕ для 1С — используй 1c-doc-research. НЕ для LangChain API — используй langchain-core. НЕ для LangGraph — используй langgraph-core.

This is not a styling job. This is not a facelift.

Select the desired set of skill maps to plot by editing the list below.

Virtual office dashboard — pixel-art NPCs for your OpenClaw agents. Install, manage, and interact with your retro AI office.

Deploy a full-stack multi-model Browser Agent system with FastAPI server, real-time dashboard, VNC streaming, and LLM Council mode. Use when the user asks to set up browser automation, build a browser agent, deploy an AI web agent, create a browser-use server, or needs multi-model browser automation with strategies like council, consensus, fallback chain, or planner-executor.

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Build an interactive HTML dashboard with charts, filters, and tables. Use when creating an executive overview with KPI cards, turning query results into a shareable self-contained report, building a team monitoring snapshot, or needing multiple charts with filters in one browser-openable file.

Reference skill for Zoom Virtual Agent. Use after routing to a virtual-agent workflow when implementing web embeds, Android or iOS wrapper integrations, knowledge-base sync, lifecycle handling, or troubleshooting.

Synthesize user research from interviews, surveys, and feedback into structured insights. Use when you have a pile of interview notes, survey responses, or support tickets to make sense of, need to extract themes and rank findings by frequency and impact, or want to turn raw feedback into roadmap recommendations.

Reference skill for Zoom AI Services Scribe. Use after routing to a transcription workflow when handling uploaded or stored media, Build-platform JWT auth, fast mode transcription, batch jobs, or transcript pipeline design.

Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.

Real DCF (Discounted Cash Flow) model creation for equity valuation. Retrieves financial data from SEC filings and analyst reports, builds comprehensive cash flow projections with proper WACC calculations, performs sensitivity analysis, and outputs professional Excel models with executive summaries. Use when users need to value a company using DCF methodology, request intrinsic value analysis, or ask for detailed financial modeling with growth projections and terminal value calculations.

turborepo

Clone a Copilot Studio agent from the cloud. Guides through environment selection, agent selection, and downloads agent YAML files.

Domain patterns for workflow orchestration systems — long-running processes, state machines, saga coordination, human-in-the-loop gates, retry and timeout hierarchies, and failure modes. Use when designing or evaluating workflow engines, job orchestrators, or multi-step business process systems.

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Use Fabric CLI for Power BI operations — semantic models, reports, DAX queries, refresh, gateways. Activate when users work with Power BI items, need to refresh datasets, execute DAX, manage reports, or troubleshoot refresh failures.

Domain patterns for web service architecture — API design (REST/GraphQL/gRPC), scaling, data layer, observability, failure modes, and anti-patterns. Use when designing or evaluating a web service, API, or request/response system.

Guidance for using the PowerPlatform Dataverse Client Python SDK. Use when calling the SDK like creating CRUD operations, SQL queries, table metadata management, relationships, and upload files.

Use when you need programmatic graph structure analysis — reachability, cycles, critical paths, and diffs without spending LLM tokens on structural questions code can answer

Domain patterns for real-time and collaborative systems — persistent connections, state synchronization, conflict resolution, presence, fan-out, and failure modes. Use when designing or evaluating chat systems, collaborative editors, live dashboards, gaming backends, or any system with bidirectional real-time communication.

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Capsem frontend design system. Use when building UI components, styling views, working with the design system, choosing colors, or understanding the component library. Covers the stack (Astro 5 + Svelte 5 + Tailwind v4 + Preline), color scheme, Svelte 5 rune patterns, data fetching, and code reuse policy.

Automated browser verification for dev servers. Triggers when a dev server starts to run a visual gut-check with agent-browser — verifies the page loads, checks for console errors, validates key UI elements, and reports pass/fail before continuing.

Design, repair, and roll out formulas in SharePoint-hosted workbooks with connector-aware retrieval, validation, and upload discipline. Use when the user wants to add a formula column, fix a broken formula, choose between a fill-down formula and a spill formula, build a lookup or filter formula, or reuse workbook logic safely.

Helps understand and write EAS workflow YAML files for Expo projects. Use this skill when the user asks about CI/CD or workflows in an Expo or EAS context, mentions .eas/workflows/, or wants help with EAS build pipelines or deployment automation.

Guide for using Netlify Blobs object storage. Use when storing files, images, documents, or simple key-value data without a full database. Covers getStore(), CRUD operations, metadata, listing, deploy-scoped vs site-scoped stores, and local development.

Guide for writing Netlify serverless functions. Use when creating API endpoints, background processing, scheduled tasks, or any server-side logic using Netlify Functions. Covers modern syntax (default export + Config), TypeScript, path routing, background functions, scheduled functions, streaming, and method routing.

Guide for using the Netlify CLI and deploying sites. Use when installing the CLI, linking sites, deploying (Git-based or manual), managing environment variables, or running local development. Covers netlify dev, netlify deploy, Git vs non-Git workflows, and environment variable management.

This document is the single source of truth for all AI agents (Claude Code, Copilot, Codex, and others) operating in this repository. It defines what agents are trusted to do, coding rules, DevOps wor

本项目是一个基于 **Python + Neo4j** 的医疗健康画像数据 ETL 工程。从 SQL Server 的 `ai_patients` 表获取患者 ID，调用大数据平台 API 拉取患者健康画像数据，经图谱建模后写入 Neo4j，最终通过 Flask REST API 对外提供查询服务。

**scida** is a Python library for scalable analysis of large scientific datasets, primarily targeting astrophysics simulations (particle-based cosmological simulations) and observational data. It prov