yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Perform bisociation at multiple abstraction levels.
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
Perform bisociation at multiple abstraction levels.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Move between concrete and abstract framings — 3 levels up (Why?) and 3 levels down (How?) to find the most productive research level.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Abstract biological principle to design principle. Bridge from biology to engineering.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Compute Risk Priority Number (RPN = S x O x D), classify failure modes into H/M/L action priority per AIAG-VDA tables.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Enumerate all implementation activities from an experiment design.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Understand who the user is — background, resources, constraints, and deep motivations. Produces an ActorProfile that informs all downstream decisions. Use this tactic at the start of any crystallization process to build a model of the user's capabilities, limitations, and intent.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Iteratively select maximally informative pairs, execute comparisons, update ratings, and check convergence until ranking stabilizes.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Structured debate protocol that constructs an advocate, deploys critic attacks, and renders a judge verdict through iterative rounds.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Strategy: Dialectic engine retuned for truth-seeking, not survival. A defender steelmans a claim into its MOST falsifiable form, a critic attacks to refute it, a judge classifies the exchange into BROKEN/CORROBORATED/UNFALSIFIABLE — the judge does NOT pick a winner or score persuasiveness. Methods: Irving debate…
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Strategy: Progressive pressure escalation — starts with surface-level challenges and escalates to fundamental assumption attacks based on defender confidence decay.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Strategy: Role-play attacks from hostile personas — competing lab researcher, hostile reviewer, funding skeptic, domain outsider — each with distinct attack motivations and blind spots.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Tactic: Construct detailed hostile persona, attack artifact from that persona's perspective, record successful attack paths for aggregation.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Campaign: Logical extreme and boundary testing via reductio ad absurdum and edge-case analysis. Core question: Does this artifact collapse under logical limits and boundary conditions? Methods: Lakatos 1976, Dutilh Novaes 2016, BVA, Flyvbjerg Critical Case, Popper.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Construct the strongest possible case for a rejected candidate or counter-position.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Aggregate multiple ranking ballots into a consensus ranking using a specified social choice method.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
SOP: Use the AHP (Analytic Hierarchy Process) to determine scoring-dimension weights, outputting a weight vector.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
SOP: Use the AHRQ PiCMe framework to systematically assess a research gap across 6 dimensions.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Classify gap root causes using AHRQ 4-reason framework (insufficient info, biased info, inconsistent info, not yet integrated).
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
SOP for detecting and resolving concept aliases — merge duplicate pages, redirect edges.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Strategy: What-If Analysis, Alternative Futures, and Four Ways of Seeing — generate competing explanations and scenarios to challenge the dominant narrative.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Generate 2-4 divergent scenarios from the same evidence base, each representing a plausible alternative to the artifact's conclusions.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Generate alternative model formulations by relaxing, replacing, or generalizing specific assumptions.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Score each candidate alternative against all criteria to produce a score matrix.
yogsoth-ai/de-anthropocentric-research-engine
Skill Claude CodeCodex
Generate alternatives for every known approach — ensure no approach goes unchallenged.
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: