fletcher
CommunityDefamiliarize your results to avoid misreads.
Education & Research#results reporting#defamiliarization#empirical audit#figure interpretation#sample size check#misinterpretation prevention#pattern coherence
Authorfranklee16
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Fletcher prevents confident-but-wrong interpretation by forcing you to systematically audit every visible feature of your figures, tables, and results before you write about them.
Core Features & Use Cases
- Six-step defamiliarization audit: lists every visible element, generates alternative explanations, isolates the hardest-to-explain feature, and tests sample size and patterns.
- Interpretation timing control: designed to run right when output first appears, so your writing doesn’t lock in premature narratives.
- Ownership enforcement: ends with an ownership test so you only proceed when you can account for every number (or explicitly flag open questions).
Quick Start
Run Fletcher on your output file before drafting the write-up by asking: "Fletcher, audit this results file: path/to/results_or_figure.[brief description of the main finding you think it shows]".
Dependency Matrix
Required Modules
None requiredComponents
Standard packageđź’» 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: fletcher Download link: https://github.com/franklee16/academic-research-skills/archive/main.zip#fletcher Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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