When should I use the Deep Research skill?

Use this skill when official documentation is missing, outdated, or doesn't explain the underlying mechanism of a tool or feature you are investigating.

Does this skill work with minified or obfuscated code?

Yes, it includes specific strategies for searching string literals and control flows within decompiled JavaScript to find logic entry points.

What are the three phases of the research methodology?

The methodology consists of Phase 1: External Research (broad coverage), Phase 2: Source Analysis (definitive answers), and Phase 3: Synthesis and Verification.

How does the skill handle conflicting information?

It uses a Confidence Level Framework to weigh evidence, prioritizing direct source code findings over external community reports or outdated issues.

Deep Research

Name: Deep Research
Author: nsheaps

bynsheaps

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Learning & Documentation

Investigates undocumented software behaviors and internal mechanisms through structured source-level analysis and reverse-engineering.

The Deep Research skill provides a rigorous, three-phase framework for answering 'how does X work?' when official documentation is insufficient or contradictory. It guides Claude through systematic external research of GitHub issues and community discussions, followed by deep source code analysis of compiled or minified binaries to trace exact execution paths. By utilizing a standardized confidence level framework and structured reporting templates, this skill transforms technical uncertainty into verified documentation with source-level references, making it indispensable for power users exploring the internals of tools like Claude Code.

Key Features

011 GitHub stars

02Standardized confidence level framework for technical evidence

03Three-phase research playbook: External, Source Analysis, and Synthesis

04Heuristics for navigating and de-obfuscating minified JavaScript

05Source-level tracing of entry points, CLI flags, and call chains

06Structured reporting template for documenting complex technical findings

Use Cases

01Reverse-engineering internal CLI behaviors and undocumented environment variables

02Investigating discrepancies between official documentation and observed software behavior

03Tracing feature implementation details within compiled or minified source code

Key Features

011 GitHub stars

02Standardized confidence level framework for technical evidence

03Three-phase research playbook: External, Source Analysis, and Synthesis

04Heuristics for navigating and de-obfuscating minified JavaScript

05Source-level tracing of entry points, CLI flags, and call chains

06Structured reporting template for documenting complex technical findings

Use Cases

01Reverse-engineering internal CLI behaviors and undocumented environment variables

02Investigating discrepancies between official documentation and observed software behavior

03Tracing feature implementation details within compiled or minified source code