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enterprise-ai-agents-spec
enterprise-ai-agents-spec PublicAn open-source, detailed blueprint for implementing highly scalable swarms of specialized AI Agents in enterprise product development, emphasizing parallelization, robust governance, compliance, an…
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google-researcher-mcp
google-researcher-mcp PublicThis is a Model Context Protocol (MCP) server that enables AI assistants like Claude, GPT, and other LLMs to: Search the web via Google (general, images, news) Read any webpage including JavaScript…
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edgar_analytics
edgar_analytics PublicEDGAR Analytics – Python Library for Extracting, Analyzing, and Forecasting SEC EDGAR Filings. Streamline your financial analysis with comprehensive metrics, growth rates, and automated reporting c…
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due-diligence-agents
due-diligence-agents PublicFind what gets buried in the data room. Open-source integrated M&A due diligence — legal, financial, commercial, and technical analysis across every contract, cross-referenced with exact citations.
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🧠 Transform your dev process with a ...
🧠 Transform your dev process with a swarm of AI agents using Roo Code. 🛠️ Includes .roomodes config + all-mode instructions to launch your own intelligent AI team. 1**Core Principles:**
21. **Prioritize Provided Context:** Base your analysis, planning, and execution primarily on the specific context, instructions, and summaries provided in the current task message. This is the main way information flows between steps.
32. **Standard Project Documents:** Key persistent artifacts are `README.md`, `architecture.md`, `specifications.md`, and files within `/docs/`.
43. **Review Relevant Existing State:** Before generating/modifying code or documents, review relevant sections of the standard documents OR the provided context to ensure consistency, avoid duplication, and build upon current state.
54. **Judicious File Reading:** Use file reading tools (`read_file`) *only* as a fallback if essential details are confirmed missing from the summarized context provided by the orchestrator. Avoid reading entire large documents unnecessarily.
If the problem persists, check the GitHub status page or contact support.




