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evidence-selfloop

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Identify and fix evidence gaps for better writing.

Education & Research#writing#research#analysis#quality#evidence#todo#gaps
AuthorWILLOSCAR
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps ensure your research writing is well-supported by identifying and diagnosing gaps in the evidence used, preventing the creation of hollow or unsubstantiated prose.

Core Features & Use Cases

  • Evidence Gap Analysis: Detects missing citations, insufficient evidence snippets, and weak comparisons within research drafts.
  • Root Cause Diagnosis: Pinpoints whether evidence issues stem from upstream data extraction, mapping, or binding stages.
  • Actionable TODOs: Generates a prioritized list of specific upstream tasks needed to strengthen evidence before writing can proceed effectively.
  • Use Case: When a draft section feels thin or a skill is blocked due to lack of evidence, this skill analyzes the existing artifacts to tell you exactly which prior step (e.g., re-running paper-notes or evidence-binder) needs to be fixed.

Quick Start

Run the evidence selfloop skill to analyze the current evidence artifacts and generate a TODO list for improving writing support.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: evidence-selfloop
Download link: https://github.com/WILLOSCAR/research-units-pipeline-skills/archive/main.zip#evidence-selfloop

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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