Agent skill

general-research

Conducts systematic internet research through strategic questioning and multi-source analysis. Gathers information from web sources (not codebase), cross-references claims across multiple sources, evaluates source credibility using tier system (official docs, expert blogs, community resources), identifies patterns and consensus, and produces structured reports in .research/. Use when user needs to gather knowledge from internet, find best practices, compare solutions, evaluate technologies, understand industry trends, or investigate topics thoroughly. Triggers include "research online", "gathe

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill general-research --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 13 KB
Bundled scripts: none
Path: skills/analysis/general-research/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# General Research ## Overview **Purpose:** Systematic internet research on any topic through methodical questioning and multi-source analysis **Approach:** - Understand context first - clarify what's truly needed before starting - Ask strategic questions - research direction must be clear - Use multiple sources - never rely on single page (minimum 5-8 sources) - Identify patterns - analyze and synthesize, don't just collect - Evaluate credibility - use tier system for source quality - Cross-reference claims - verify key information across sources - Document systematically - capture process and conclusions **Output:** Research report saved in `.research/[topic-slug]-[date].md` **Note:** Research is iterative - you can return to earlier phases when discovering new information or when scope needs adjustment. --- ## Guidelines ### What Makes Good Research **Quality indicators:** - **Multiple perspectives** - Minimum 5-8 different sources from various tiers - **Cross-verification** - Key claims confirmed by multiple independent sources - **Pattern recognition** - Identifying consensus and common themes across sources - **Critical evaluation** - Assessing source credibility and potentia

What's inside
Steps it walks through
  1. Overview
  2. Guidelines
  3. What Makes Good Research
  4. Key Principles
  5. Common Pitfalls to Avoid
  6. Examples
  7. Example 1: Simple Research Flow
  8. Example 2: Analysis Report Structure
  9. Example 3: Handling Scope Changes
  10. Workflow
  11. Phase 1: Understanding the Topic
  12. Phase 2: Strategic Questions
  13. Phase 3: Research
  14. Phase 4: Creating the Report
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the general-research skill do?

Conducts systematic internet research through strategic questioning and multi-source analysis. Gathers information from web sources (not codebase), cross-references claims across multiple sources, evaluates source credibility using tier system (official docs, expert blogs, community resources), identifies patterns and consensus, and produces structured reports in .research/. Use when user needs to gather knowledge from internet, find best practices, compare solutions, evaluate technologies, understand industry trends, or investigate topics thoroughly. Triggers include "research online", "gathe

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill general-research --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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