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research-methodology

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Epistemic partnership infrastructure for AI-assisted qualitative research. Claude Code plugin with 3-stage methodology, 4 specialized agents, and 11 skills.

  • Updated Jul 13, 2026
  • JavaScript
deepdive

Deepdive skill for Claude Code — 11-phase research pipeline: plan-review gate, parallel sub-agent search with circuit breaker, claims-ledger triangulation, relevance-filtered evidence, multi-angle red team, citation verification (liveness + faithfulness), machine-checked phase completeness. 105 blocks, 29 channels, 460+ stat sources, 39 APIs.

  • Updated Aug 9, 2026
  • Python

Modular multi-model generator of controllable AI news stimuli for misinformation research - agent-based simulation seeding, red-teaming & human-perception studies. GPT-4/LLaMA/Mistral/DeepSeek, multilingual, full provenance.

  • Updated Aug 12, 2026
  • Python

Cross-platform evidence synthesis for Codex, Gemini CLI, and Claude Code, plus a full Claude-native agent and gate distribution. 11 problem-shaped skills backed by 97 sourced reasoning patterns; commit-time checks block unsourced constants. I do not know is a supported outcome.

  • Updated Aug 11, 2026
  • Python

`epi-skill` 是一个面向流行病学、医学统计学、生物统计学和临床研究方法学的 AI skill。该 skill 是基于多本方法学教材的本地扫描与主题提炼,整理出适合研究设计、统计分析、偏倚评估、模型选择和论文方法学审查的工作流与检查清单。

  • Updated Jul 2, 2026

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