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.
This repository also configures its own agents. See what de-anthropocentric-research-engine tells them →
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
SOP for creating a claim page in the vault — atomic proposition with type classification, source attribution, and initial confidence.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Patent claim syntax parsing — independent/dependent relationships and element extraction.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Propose a refined claim that survives counterexamples while preserving maximum explanatory power (Lakatos lemma-incorporation).
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Understand what resources the user has available for research — compute, timeline, collaboration, data access, experimental environment. Every item accepts 'TBD' as a valid answer.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
IPC/CPC hierarchy drill-down and lateral expansion for patent discovery.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Strategy: Lewis Possible Worlds — find the minimal change to reality that would flip the conclusion, measuring how close the nearest world where the conclusion fails.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Apply Goldratt's 8 Categories of Legitimate Reservation to validate causal claims. Tests clarity, existence, sufficiency, and logical integrity.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Identify natural opinion clusters from collected judgments and characterize each cluster.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Strategy for auditing preference consistency using Consistency Ratio, cycle enumeration, and mElo to detect and resolve intransitivities.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Full crystallization strategy for users who have no research direction at all. Covers actor profiling, landscape reconnaissance, direction narrowing, obstacle analysis, goal decomposition, and north-star synthesis. Use when the user's first message reveals zero specificity about what they want to research.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Strategy for multi-judge ranking aggregation using Condorcet, Schulze, Borda, Kemeny-Young, and Copeland methods to produce consensus rankings from diverse perspectives.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
SOP for systematically enumerating combinations across dimensions.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Evaluate new combinations for feasibility and novelty.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Combinatorial Creativity Campaign — produce emergent concepts via concept blending, multi-level bisociation, and function combination (Fauconnier-Turner).
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Synthesize all combinatorial creativity outputs.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Compare feasibility across multiple candidates using multi-dimensional radar and weighted feasibility index.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Strategy: Construct comparative research questions — systematic comparison of A vs B.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Design fair comparison experiments against baselines and competing methods.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Execute a pairwise comparison between two candidates, producing a judgment with winner, confidence, and reasoning.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Strategy: Construct multiple competing hypotheses for the same phenomenon.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
SOP: Generate mechanistically distinct competing hypotheses for the same phenomenon.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Tactic: Multi-hypothesis management — generate competing hypotheses, design discriminating predictions, build a structured comparison matrix.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Analyze competitor IP portfolios — comparative patent portfolio reports with strategy inference. Budget: 120 patent families, 15 claim parses, 40 web searches.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Predict competitor progress, publications, and strategic moves.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: