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Skills

de-anthropocentric-research-engine

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900+ 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.

★ 49741 forksApache-2.0yogsoth-ai

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

Run autonomous academic literature reviewsDiscover research gaps across a fieldGenerate and stress-test scientific hypothesesDesign experiments and executable research plansCompose multi-stage research workflows with backtrackingResume research across agent sessions

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