de-anthropocentric-research-engine
View on GitHub900+ pure-markdown skills for autonomous AI research, organized as 9 freely-composable packages over a 4-layer hierarchy (Campaign → Strategy → Tactic → SOP). Non-linear orchestration with backtracking, 6 MCP integrations. The AI is the researcher — you set the direction.
A collection of 900+ Markdown skills for autonomous AI research, organized into composable packages and a Campaign-to-SOP hierarchy. Supports literature discovery, gap analysis, hypothesis generation, experiment design, and session recovery, with MCP integrations for research and web sources.
Use Cases
Built With
- Frameworks
- Claude Code · MCP
Tags
research-agent · autonomous-research · academic-research · research-orchestration · literature-review · hypothesis-generation · experiment-design · scientific-discovery · agent-skills · MCP · Semantic Scholar · Claude Code