How does the Info Gathering skill improve research quality?

It enforces a systematic 4-phase process that moves from defining the investigation scope to selecting verified methodologies and applying rigorous reliability tests like CRAAP and SIFT.

Can I use this skill for software development tasks?

Yes, it includes specific technical investigation paths for bug hunting, API specification research, library comparisons, and migration planning.

What kind of output does the Info Gathering skill provide?

It generates structured summaries including the research theme, methodology used, key findings with confidence levels, source logs, and recommended next steps.

Does this skill help with fact-checking?

Absolutely. It incorporates OSINT techniques and systematic evaluation methods to verify claims, find primary sources, and identify potential biases in data.

Systematic Info Gathering

Name: Systematic Info Gathering
Author: CAPHTECH

byCAPHTECH

0•

Web Scraping & Data Collection

Executes a structured four-phase framework for comprehensive technical and general-purpose research and data verification.

The Info Gathering skill provides a rigorous, systematic approach to research, moving through four distinct phases: Investigation Design, Method Selection, Execution, and Verification. Designed to handle both technical challenges—like debugging and API documentation—and general research tasks—such as market analysis or OSINT—it ensures high-quality results by applying evaluative frameworks like the CRAAP Test and SIFT method. This skill helps users move beyond surface-level search results to find actionable, primary-source evidence and structured insights.

Key Features

01Structured 4-phase workflow: Design, Selection, Execution, and Verification

02Comprehensive data synthesis using KJ Method, MECE, and Logic Trees

03Rigorous reliability assessment using CRAAP Test and SIFT frameworks

04Dual-track methodologies for both technical and general investigation domains

05Standardized reporting templates for research summaries and evidence logging

060 GitHub stars

Use Cases

01Debugging complex technical issues and researching undocumented API behaviors

02Verifying information accuracy through OSINT and systematic fact-checking

03Conducting deep market, competitor, or academic literature reviews

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add caphtech/claude-marketplace info-gathering

For use in Claude.ai and ChatGPT

Key Features

01Structured 4-phase workflow: Design, Selection, Execution, and Verification

02Comprehensive data synthesis using KJ Method, MECE, and Logic Trees

03Rigorous reliability assessment using CRAAP Test and SIFT frameworks

04Dual-track methodologies for both technical and general investigation domains

05Standardized reporting templates for research summaries and evidence logging

060 GitHub stars

Use Cases

01Debugging complex technical issues and researching undocumented API behaviors

02Verifying information accuracy through OSINT and systematic fact-checking

03Conducting deep market, competitor, or academic literature reviews

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add caphtech/claude-marketplace info-gathering

For use in Claude.ai and ChatGPT