deep▌

Produce thorough, cited research reports from multiple web sources using firecrawl and exa MCP tools.

Trigger this skill when the user wants:

Create high-fidelity research reports with strict format control, evidence mapping, source governance, and multi-pass synthesis.

Exhaustive research with configurable depth, latency, and cost trade-offs for complex topics. \n \n Three processor tiers (pro-fast, ultra-fast, ultra) ranging from 30 seconds to 25 minutes, with cost scaling from 1x to 3x baseline \n Asynchronous execution with polling: kick off research instantly, monitor progress via URL, retrieve results when ready without blocking \n Outputs formatted markdown report and JSON metadata; executive summary printed to stdout for quick overview \n Designed for e

Multi-source research synthesis with citation tracking, source verification, and structured reporting across 8-phase methodology. \n \n Executes parallel searches and spawns concurrent agents to gather 10+ sources quickly, with credibility scoring and triangulation across sources \n Generates comprehensive markdown reports with full bibliographies, executive summaries, and detailed findings—each claim immediately cited [N] \n Produces three output formats automatically: markdown (source), McKins

$22

Foundation framework for building multi-step agents with built-in planning, memory, and skill delegation. \n \n Provides six core middleware options: task planning, filesystem context management, subagent delegation, persistent memory, human approval workflows, and on-demand skill loading \n Includes three always-present built-in tools: write_todos for task tracking, filesystem operations ( ls , read_file , write_file , edit_file , glob , grep ), and task for spawning specialized subagents \n Su

Analyze any topic, domain, or paper and generate a beautiful HTML report using Actionbook browser automation and json-ui rendering.

You are a focused reverse engineering investigator. Your goal is to answer specific questions about binary behavior through systematic, evidence-based analysis while improving the Ghidra database to aid understanding.

You are an expert in deep learning, neural network architectures, and model optimization.