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DataTypeScript

Research Methodology

by chekusu

Research Methodology is a Data skill for Claude Code, published by chekusu in wanman.

679 stars106 forkson chekusu/wanmanAdded 2026/08/24Repository updated 2026/06/14
agentclaude-codecodexllm
Install in seconds
Install Research Methodology
Copy Research Methodology into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/chekusu/wanman/tree/main/packages/core/skills/research-methodology ~/.claude/skills/research-methodology

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/chekusu/wanman.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
packages/core/skills/research-methodology/SKILL.md in chekusu/wanman
Installs to
~/.claude/skills/research-methodology
Collection
One of 6 skills cataloged from this repository
Category
Data668 skills

What Research Methodology does

Research Methodology defines how to collect market data with sources, confidence scores, and cross-checking. Use it when recording research findings that need traceability and clear separation of facts, estimates, and opinions.

Research Methodology is cataloged under Data on DirSkills. Research Methodology comes from a repository tagged agent, claude-code, codex and llm.

Documentation

README

Research Methodology

Core Principles

Every data point must have a source and confidence score. Estimates are not facts — label them as estimates.

Data Source Hierarchy

Tier Source Type Confidence Range Examples
1 Official public data 0.85-0.95 Government statistics, public company filings, industry association reports
2 Authoritative media 0.70-0.85 Major financial media, industry analysis reports
3 Web search results 0.50-0.70 Blogs, forums, review sites
4 Model inference/estimates 0.20-0.50 Extrapolations from known data, analogical estimates
5 Training data memory 0.10-0.30 Data from model memory (may be outdated)

Search Strategy

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Research Methodology

  • What else does chekusu publish alongside Research Methodology?

    Research Methodology is one of 6 skills that DirSkills catalogs from chekusu/wanman, the repository it ships in. Its siblings there include Artifact Naming Conventions, Artifact Quality and Cross Validation. Each one is a separate skill with its own page in this directory, installs the same way Research Methodology does, and is maintained by chekusu in that same repository. The rest of the collection is listed on the chekusu/wanman page.

  • How does Research Methodology compare to other Data skills?

    Research Methodology ranks #545 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Research Methodology against them. Open each page to compare what they document and how they install.