Individual skill
method-engine
Activate when the user needs to select, justify, describe, or execute a research methodology. Provides method selection guidance, complete method section templates, quality criteria, and tool recommendations. Covers SLR, qualitative (case study, Gioia, Mayring, Grounded Theory), quantitative (SEM, regression, survey, experiment), DSR, mixed methods, action research, ethnography, Delphi study, and simulation. Also includes Research Data Management (RDM) guidance for FAIR-compliant data handling.
skills/method-engine/SKILL.md
Source commit 160df4d13d266411f0850c4de7ecdbd93e8b40be
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
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Repository context
- Repository stars (not skill ratings)
- 20
- Repository last updated
- Apr 10, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- academic-writing Repository topic
- arxiv Repository topic
- claude Repository topic
- claude-code Repository topic
- claude-code-plugin Repository topic
- claude-skills Repository topic
- constitutional-ai Repository topic
- mcp Repository topic
- open-science Repository topic
- paper-generation Repository topic
- data Derived category
- research Derived category
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> **Orchestration Log**: When this skill is activated, append a log entry to `outputs/orchestration_log.md`:
> ```
> ### Skill Activation: Method Engine
> **Timestamp:** [current date/time]
> **Actor:** AI Agent (method-engine)
> **Input:** [brief description of the methodology request]
> **Output:** [brief description of what was produced — e.g., "DSR method section drafted with 3 evaluation criteria"]
> ```
# Method Engine
## Method Selection Guide
### Decision Tree