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/research-methodology

Best practices for systematic research, source evaluation, and evidence gathering

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$ npx -y skills add vstorm-co/pydantic-deepagents --skill research-methodology --agent claude-code

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  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/research-methodology

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Best practices for systematic research, source evaluation, and evidence gathering

SKILL.md

research-methodology.SKILL.md
name: research-methodology
description: Best practices for systematic research, source evaluation, and evidence gathering
auto_load: false

Research Methodology Guide

Search Strategy

Phase 1: Broad Discovery

  • Start with general queries to understand the landscape
  • Use different phrasings for the same concept
  • Note key terminology, authors, and organizations

Phase 2: Focused Deep-Dive

  • Search for specific claims, statistics, or technical details
  • Target authoritative sources identified in Phase 1
  • Use exact phrases in quotes for precision

Phase 3: Verification

  • Cross-reference key claims across multiple sources
  • Search for counter-arguments or contradictions
  • Check publication dates for recency

Source Evaluation

Reliability Hierarchy

1. **Academic papers** (peer-reviewed journals, arXiv preprints) 2. **Official documentation** (government, organization, project docs) 3. **Reputable news** (established outlets with editorial standards) 4. **Expert blog posts** (known authors with credentials) 5. **Community forums** (Stack Overflow, Reddit — use cautiously)

Evaluation Checklist

  • **Authority**: Who wrote it? What are their credentials?
  • **Currency**: When was it published? Is it still relevant?
  • **Coverage**: Does it address the topic comprehensively?
  • **Accuracy**: Can claims be verified elsewhere?
  • **Objectivity**: Is there obvious bias or commercial interest?

Note-Taking Best Practices

Structure Each Note File

# [Sub-topic Title]

## Key Findings
- Finding 1 [SOURCE: url, accessed YYYY-MM-DD] [HIGH confidence]
- Finding 2 [SOURCE: url, accessed YYYY-MM-DD] [MEDIUM confidence]

## Contradictions
- Source A says X, but Source B says Y

## Gaps
- Could not find reliable data on Z

Confidence Levels

  • **[HIGH]**: Multiple authoritative sources agree
  • **[MEDIUM]**: Single authoritative source, or multiple less-reliable sources agree
  • **[LOW]**: Single non-authoritative source, or conflicting information

Common Pitfalls

  • Don't rely on a single source for important claims
  • Check if "recent" articles cite outdated data
  • Be wary of sources that don't cite their own sources
  • Distinguish between correlation and causation
  • Note when sample sizes are small or studies are preliminary
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Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, unlimited context - on Pydantic AI, any model.

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