methodology-explainer

nimrodfisher's avatarfrom nimrodfisher

Explain analysis methodology to diverse audiences. Use when documenting 'how we did this' sections, building trust through transparency, or teaching analytical approaches to stakeholders.

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When & Why to Use This Skill

The Methodology Explainer skill is designed to bridge the gap between complex data analysis and stakeholder understanding. It helps users document the 'how' behind their results, translating technical analytical frameworks into clear, transparent narratives that build trust and credibility. By tailoring the level of detail to diverse audiences, it ensures that methodology sections are both rigorous for experts and accessible to decision-makers.

Use Cases

  • Stakeholder Reporting: Drafting 'How We Did This' sections for executive summaries to justify findings and build confidence in data-driven recommendations.
  • Research Transparency: Creating comprehensive methodology documentation for white papers or technical reports to meet transparency expectations and peer-review standards.
  • Educational Onboarding: Teaching analytical approaches to new team members or clients by breaking down complex workflows into digestible, step-by-step explanations.
  • Project Documentation: Maintaining a clear record of analysis steps, assumptions, and limitations to ensure long-term project reproducibility and internal knowledge transfer.
namemethodology-explainer
descriptionExplain analysis methodology to diverse audiences. Use when documenting 'how we did this' sections, building trust through transparency, or teaching analytical approaches to stakeholders.

Methodology Explainer

Quick Start

This skill helps you explain analysis methodology to diverse audiences.

Context Requirements

Before proceeding, I need:

  1. Analysis methodology: Key information needed for this analysis
  2. Methodology template: Key information needed for this analysis
  3. Detail level by audience: Key information needed for this analysis
  4. Transparency expectations: Key information needed for this analysis

Context Gathering

If any required context is missing from our conversation, I'll ask for it using these prompts:

For Analysis methodology:

"To proceed with methodology explainer, I need to understand analysis methodology.

Please provide:

  • [Specific detail 1 about analysis methodology]
  • [Specific detail 2 about analysis methodology]
  • [Optional context that would help]"

For Methodology template:

"To proceed with methodology explainer, I need to understand methodology template.

Please provide:

  • [Specific detail 1 about methodology template]
  • [Specific detail 2 about methodology template]
  • [Optional context that would help]"

For Detail level by audience:

"To proceed with methodology explainer, I need to understand detail level by audience.

Please provide:

  • [Specific detail 1 about detail level by audience]
  • [Specific detail 2 about detail level by audience]
  • [Optional context that would help]"

Handling Partial Context

If you can only provide some of the context:

  • I'll proceed with what's available and note limitations
  • I'll use industry standard defaults where appropriate
  • I'll ask clarifying questions as needed during the analysis

Workflow

Step 1: Validate Context

Before starting, I'll confirm:

  • All required context is available or has reasonable defaults
  • The scope and objectives are clear
  • Expected outputs align with your needs

Step 2: Execute Core Analysis

Following best practices for methodology explainer, I'll:

  1. Initial assessment - Review provided context and data
  2. Systematic execution - Follow structured methodology
  3. Quality checks - Validate intermediate results
  4. Progressive disclosure - Share findings at logical checkpoints

Step 3: Synthesize Findings

I'll present results in a clear, actionable format:

  • Key findings prioritized by importance
  • Supporting evidence and visualizations
  • Recommendations with implementation guidance
  • Limitations and assumptions documented

Step 4: Iterate Based on Feedback

After presenting initial findings:

  • Address questions and dive deeper where needed
  • Refine analysis based on your feedback
  • Provide additional context or alternative approaches

Context Validation

Before executing the full workflow, I verify:

  • Context is sufficient for meaningful analysis
  • No contradictions in provided information
  • Scope is well-defined and achievable
  • Expected outputs are clear

Output Template

Methodology Explainer Analysis
Generated: [timestamp]

## Context Summary
- [Key context item 1]
- [Key context item 2]
- [Key context item 3]

## Methodology
[Brief description of approach taken]

## Key Findings
1. **Finding 1**: [Observation] - [Implication]
2. **Finding 2**: [Observation] - [Implication]
3. **Finding 3**: [Observation] - [Implication]

## Detailed Analysis
[In-depth analysis with supporting evidence]

## Recommendations
1. **Recommendation 1**: [Action] - [Expected outcome]
2. **Recommendation 2**: [Action] - [Expected outcome]

## Limitations & Assumptions
- [Limitation or assumption 1]
- [Limitation or assumption 2]

## Next Steps
1. [Suggested follow-up action 1]
2. [Suggested follow-up action 2]

Common Context Gaps & Solutions

Scenario: User requests methodology explainer without providing context → Response: "I can help with methodology explainer! To provide the most relevant analysis, I need [key context items]. Can you share [specific ask]?"

Scenario: Partial context provided → Response: "I have [available context]. I'll proceed with [what's possible] and will note where additional context would improve the analysis."

Scenario: Unclear objectives
→ Response: "To ensure my analysis meets your needs, can you clarify: What decisions will this inform? What format would be most useful?"

Scenario: Domain-specific terminology → Response: "I want to make sure I understand your terminology correctly. When you say [term], do you mean [interpretation]?"

Advanced Options

Once basic analysis is complete, I can offer:

  • Deeper investigation - Drill into specific findings
  • Alternative approaches - Different analytical lenses
  • Sensitivity analysis - Test key assumptions
  • Comparative analysis - Benchmark against alternatives
  • Visualization options - Different ways to present findings

Just ask if you'd like to explore any of these directions!

Integration with Other Skills

This skill works well in combination with:

  • [Related skill 1] - for [complementary analysis]
  • [Related skill 2] - for [next step in workflow]
  • [Related skill 3] - for [alternative perspective]

Let me know if you'd like to chain multiple analyses together.

methodology-explainer – AI Agent Skills | Claude Skills