When should I use the Report Findings skill versus a standard summary?

Use this skill when you need to synthesize information from multiple disparate sources; use standard Claude behavior for single-source summaries or opinion-based tasks.

How does this skill handle conflicting information from different sources?

The skill follows a conflict resolution protocol that prioritizes the most recent information, higher authority tiers (e.g., official docs over blogs), and empirical verification.

What is the 'Two-Source Minimum' rule?

To ensure reliability, the skill requires finding independent confirmation for any critical claim in at least two sources before presenting it with moderate or high confidence.

How are confidence levels determined in the reports?

Confidence is calibrated on a 0-100% scale based on the number of sources and their authority tiers, with 3+ Tier-1 sources required for a 'High' confidence rating.

Report Findings Synthesis

Name: Report Findings Synthesis
Author: outfitter-dev

byoutfitter-dev

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内容管理

Synthesizes multi-source research into structured reports with evidence-based attribution and calibrated confidence levels.

关于

This skill provides a rigorous framework for Claude to evaluate information across multiple sources, ensuring that research findings are accurate, verified, and well-structured. By implementing a four-tier source authority system and a two-source minimum verification rule, it prevents the hallucination of facts and helps resolve conflicts between disagreeing data points. It is particularly useful for technical deep-dives, architectural comparisons, and documenting complex system requirements where source credibility is essential.

主要功能

Quantitative confidence calibration for all conclusions
Mandatory two-source cross-referencing for critical claims
16 GitHub stars
Comparison analysis using feature and weighted matrices
Multi-tier source authority assessment (Primary to Unverified)
Structured conflict resolution and triangulation logic

使用场景

Synthesizing technical research from documentation and community forums
Comparing competing software libraries or architectural patterns
Documenting high-stakes findings with clear attribution and caveats

关于

主要功能

Quantitative confidence calibration for all conclusions
Mandatory two-source cross-referencing for critical claims
16 GitHub stars
Comparison analysis using feature and weighted matrices
Multi-tier source authority assessment (Primary to Unverified)
Structured conflict resolution and triangulation logic

使用场景

Synthesizing technical research from documentation and community forums
Comparing competing software libraries or architectural patterns
Documenting high-stakes findings with clear attribution and caveats