deep-reading-analyst
A comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models like SCQA, First Principles, and Systems Thinking.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
425 skills found
A comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models like SCQA, First Principles, and Systems Thinking.
Extract tacit engineering knowledge through guided interviews and generate structured steerings for consistent project standards and conventions.
Systematically extract insights, decisions, and constraints from research documents, technical papers, and architectural design files.
Interactive Archon integration for knowledge base and project management. Features RAG-powered semantic search, website crawling, document versioning, and hierarchical task management via REST API.
Advanced Gemini-powered web search plugin with smart caching, subagent context isolation, and automated query optimization.
Build RAG systems to ground LLMs in proprietary data. Includes vector database integration, embedding strategies, hybrid search, and advanced retrieval patterns for FastAPI backends.
Comprehensive SEO optimization tool for web applications. Performs automated site audits, meta tag management, structured data implementation, and technical performance analysis for Next.js, Astro, React, and static sites.
Map stakeholders on a Power/Interest grid, define tailored communication strategies, and generate a comprehensive engagement plan for product initiatives and team alignment.
Optimizes Prisma Client connection pool settings for production databases, serverless environments, and high-concurrency architectures to prevent connection exhaustion and performance bottlenecks.
Systematic cloud cost optimization for AWS, Azure, GCP, and OCI through resource rightsizing, automated governance, pricing model analysis, and architectural best practices.
Identify, categorize, and troubleshoot flaky tests by analyzing CI history, execution patterns, and code structure to improve test suite reliability.
A systematic workflow to instrument, evaluate, and monitor LLM applications using TruLens, supporting frameworks like LangChain, LangGraph, and LlamaIndex.