research-methodology

Structured research using sophisticated query design, source vetting, and synthesis techniques. Use when conducting competitive analysis, market scans, historical investigations, or trend research.

13 stars

Best use case

research-methodology is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Structured research using sophisticated query design, source vetting, and synthesis techniques. Use when conducting competitive analysis, market scans, historical investigations, or trend research.

Teams using research-methodology should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/research-methodology/SKILL.md --create-dirs "https://raw.githubusercontent.com/NickCrew/Claude-Cortex/main/skills/research-methodology/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/research-methodology/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How research-methodology Compares

Feature / Agentresearch-methodologyStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Structured research using sophisticated query design, source vetting, and synthesis techniques. Use when conducting competitive analysis, market scans, historical investigations, or trend research.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Research Methodology

Structured approach to finding, vetting, and synthesizing information from diverse
sources. Turns research questions into trustworthy, actionable findings through
systematic query design, source evaluation, and cross-referencing.

## When to Use This Skill

- Conducting competitive analysis or market scans
- Investigating historical events, trends, or technical evolution
- Fact-checking claims across multiple sources
- Synthesizing research into structured deliverables (reports, tables, timelines)
- Any research task that requires more than a single search query

## Quick Reference

| Resource | Purpose | Load when |
|----------|---------|-----------|
| `references/search-strategies.md` | Query design, source vetting, fact verification, synthesis techniques | Starting any research task |

---

## Workflow

```
Phase 1: Scope       → Define research objective, key questions, constraints
Phase 2: Explore     → Design queries, search broadly, capture sources
Phase 3: Verify      → Vet sources, cross-reference claims, assess credibility
Phase 4: Synthesize  → Organize findings into structured deliverables
```

---

## Phase 1: Scope the Research

Before searching, clarify the research objective:

1. **State the question** -- what exactly are we trying to learn?
2. **Define success criteria** -- what does a complete answer look like?
3. **Set constraints** -- time period, geography, domains, source types
4. **List hypotheses** -- what do we expect to find? (helps detect bias)
5. **Identify key terms** -- domain vocabulary, synonyms, related concepts

### Scoping Template

```markdown
**Research Question**: [precise question]
**Success Criteria**: [what constitutes a complete answer]
**Constraints**: [time period, scope, source types]
**Key Terms**: [domain vocabulary and synonyms]
**Initial Hypotheses**: [what we expect, to check against later]
```

---

## Phase 2: Explore

Design multiple query variations and search broadly before narrowing:

1. **Create 3-5 query variations** per research question
2. **Search broadly first** -- cast a wide net with general terms
3. **Refine iteratively** -- narrow based on initial results
4. **Track what you searched** -- record every query for reproducibility

### Query Design Principles

- Use exact-match phrases in quotes for precision
- Exclude noise with negative keywords
- Target specific timeframes for recency or historical depth
- Vary terminology across queries to avoid vocabulary bias
- Use domain-specific operators when available (site:, filetype:, etc.)

### Source Capture

For each promising source, record:
- URL and access date
- Key claims with direct quotes
- Author/publisher and their domain authority
- Any noted biases or limitations

---

## Phase 3: Verify

Vet sources and cross-reference claims before trusting them:

1. **Assess source authority** -- who wrote it, what are their credentials?
2. **Check recency** -- is the information current enough for the question?
3. **Detect bias** -- does the source have a commercial, political, or ideological interest?
4. **Triangulate** -- require 2+ independent sources for any key claim
5. **Seek primary sources** -- follow citation chains to the original data

### Confidence Rating

| Level | Criteria |
|-------|----------|
| **Confirmed** | 3+ independent, authoritative sources agree |
| **Likely** | 2 sources agree, no contradictions found |
| **Uncertain** | Single source or sources disagree |
| **Contested** | Credible sources directly contradict each other |

---

## Phase 4: Synthesize

Organize findings into a structured deliverable:

### Standard Research Report Structure

```markdown
## Research Summary
[1-2 paragraph overview of findings]

## Key Findings
- [Finding 1] — [confidence level]
- [Finding 2] — [confidence level]

## Detailed Analysis
[Organized by theme or question]

## Source Credibility Assessment
| Source | Authority | Recency | Bias Risk | Rating |
|--------|-----------|---------|-----------|--------|

## Gaps and Limitations
[What we couldn't determine and why]

## Recommendations
[Next steps or actions based on findings]
```

---

## Anti-Patterns

- Do not rely on a single source for any key claim
- Do not present uncertain findings as confirmed facts
- Do not skip source vetting for convenience
- Do not omit contradictory evidence -- always surface disagreements
- Do not let initial hypotheses bias which findings you report

Related Skills

We are still matching the closest adjacent skills for this page. In the meantime, continue through the full directory.