Deep literature research — raw full text reading and targeted PDF queries for rigorous analysis
Skills in this repository
yogsoth-ai/de-anthropocentric-research-engine - Page 6
SkillsMP has collected 961 skills from yogsoth-ai/de-anthropocentric-research-engine. Open a skill to review its source and details.
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Medium-depth literature search — read AI-summarized reports for every paper analyzed
Paper landscape scan within selected field(s). Strict import of literature-engine/literature-overview skill. Hard constraint: at least 80 papers scanned.
Quick web scanning for field landscape understanding. Strict import of web-browsing/web-search skill. Hard constraint: brave_web_search count=10 per call, at least 150 total search results before completing.
Strategy: Military-grade assumption testing — Key Assumptions Check, Devil's Advocacy, Team A/B analysis to expose hidden dependencies and unexamined beliefs.
Tactic: Progressive debate escalation based on confidence thresholds. Each round increases attack sophistication until defender collapses or proves resilient.
Paper landscape scan returning abstracts and metadata. Import of literature-engine/paper-overview skill. Abstracts only — no conclusions from abstracts.
Paper full text access via alphaxiv answer_pdf_queries or get_paper_content(fullText=true). Import of literature-engine/paper-research skill. Raw extracted text for precise claims.
Paper AI summary report via alphaxiv get_paper_content. Import of literature-engine/paper-search skill. Structured AI-generated intermediate report.
Tactic: Sequential perspective evaluation with divergence aggregation. Each agent evaluates from a distinct viewpoint, then disagreements are surfaced and resolved.
Determines whether validation has reached saturation — no new weaknesses or failure modes being discovered. Used by all 5 campaigns as termination signal.
Synthesize breakpoints across dimensions into a coherent validity envelope for a claim.
Map the complete validity envelope of a claim across all relevant dimensions, synthesizing breakpoints into a bounded region.
Deep web full-text retrieval via Apify RAG browser. Import of web-browsing/web-research skill. Full page content for substantive analysis.
Quick web scanning for landscape understanding. Import of web-browsing/web-search skill. Snippets only — no conclusions from snippets alone.
Deep web research — fetches full page content for analysis. Snippets alone are PROHIBITED for conclusions.
Reconstruct a DARE skill repo's true use-dependency relations and render them as a self-contained, offline, Obsidian-style interactive HTML graph (pyvis / vis-network). Use this whenever the user wants to graph / map / visualize the skill dependencies of a…
Strategy: Inference to the best explanation in the face of anomalies
Remove components one by one, observe system changes to reveal hidden dependencies and generate ideas from structural gaps.
Map system architecture to ablatable units for ablation studies
Design ablation studies to isolate component contributions in ML systems
Remove components one by one from a system, record the response/impact of each removal.
Classify assumptions on 2 axes — load-bearing (how much conclusion depends on it) × vulnerable (how likely to be false). Focuses attention on High-Load × High-Vulnerable quadrant.
Extract abstract principles from concrete domain cases. Strips domain-specific details to reveal transferable mechanisms.
Perform bisociation at multiple abstraction levels
Move between concrete and abstract framings — 3 levels up (Why?) and 3 levels down (How?) to find the most productive research level.
Abstract biological principle to design principle. Bridge from biology to engineering.
Compute Risk Priority Number (RPN = S x O x D), classify failure modes into H/M/L action priority per AIAG-VDA tables.
Enumerate all implementation activities from an experiment design
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,…
Iteratively select maximally informative pairs, execute comparisons, update ratings, and check convergence until ranking stabilizes.
Structured debate protocol that constructs an advocate, deploys critic attacks, and renders a judge verdict through iterative rounds.
Strategy: Progressive pressure escalation — starts with surface-level challenges and escalates to fundamental assumption attacks based on defender confidence decay.
Strategy: Role-play attacks from hostile personas — competing lab researcher, hostile reviewer, funding skeptic, domain outsider — each with distinct attack motivations and blind spots.
Tactic: Construct detailed hostile persona, attack artifact from that persona's perspective, record successful attack paths for aggregation.
Construct the strongest possible case for a rejected candidate or counter-position.
Aggregate multiple ranking ballots into a consensus ranking using a specified social choice method.
Classify gap root causes using AHRQ 4-reason framework (insufficient info, biased info, inconsistent info, not yet integrated).
Strategy: What-If Analysis, Alternative Futures, and Four Ways of Seeing — generate competing explanations and scenarios to challenge the dominant narrative.
Generate 2-4 divergent scenarios from the same evidence base, each representing a plausible alternative to the artifact's conclusions.