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.
341 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.
Token-efficient codebase navigation through intelligent symbol indexing, domain chunking, and architectural layer filtering. Reduce token usage by 60-95% when exploring or developing complex systems.
Enforce strict code quality, correctness, and Rust design patterns for the Turso database, prioritizing data integrity, performance, and maintainable, idiomatic code.
Real-time observability dashboard for PAI multi-agent activity, featuring live WebSocket streaming, session tracing, and agent workflow debugging.
Analyze and identify codebase patterns (naming, architecture, testing) to maintain consistency and enforce standards during development.
Analyzes markdown files to identify token-wasting patterns, providing actionable suggestions to optimize documentation for LLM consumption and token efficiency.
Search the web for real-time data and research using the Turing Tavily proxy. Use for up-to-date information, current events, and web-based research tasks.
Orchestrate visual communication by drawing diagrams, flowcharts, and annotations on a TLDraw canvas via CLI. Ideal for architectural planning, PR reviews, and logging agent output.
Connect to the Notion API to create, manage, and query pages, databases, and blocks for your AI-powered knowledge management.
Execute implementation plans in separate sessions with review checkpoints, ensuring task-by-task verification and robust code quality.
Autonomous multi-agent orchestration framework for Claude Code with memory-driven workflows, parallel-first task execution, Aristotle-based deconstruction, and multi-stage quality gates.
Standardized React UI patterns for loading states, error handling, and data fetching to ensure consistent UX and robust component architecture.