yogsoth-ai

yogsoth-ai/de-anthropocentric-research-engine

Skill Claude CodeCodex

Extract abstract principles from concrete domain cases. Strips domain-specific details to reveal transferable mechanisms.

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/north-star-crystallization

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/north-star-crystallization

Skill Claude CodeCodex

KAOS-style recursive goal decomposition. AND decomposition for sub-goals that must ALL be satisfied. OR decomposition for alternative paths where any one suffices. Produces a GoalTree (DAG structure).

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Understand hard boundaries on the user's research — target venues, methodology preferences, areas to avoid, advisor/team requirements. Not limited to ML/AI — works for any research domain.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Present the GoalTree to the user for confirmation. Ask about reasonableness, missing elements, and priority ordering among sub-goals.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Deep WHY probing inspired by i Intentionality modeling. Understand the user's motivation, success definition, risk tolerance, innovation preference, independence preference, time urgency, and learning willingness. The most important SOP in actor-profiling — understanding WHY drives everything downstream.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Present obstacles with their severity assessments and proposed mitigations to the user. Ask whether they can accept these obstacles. If unacceptable after 2 rounds, return to present-candidates.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Rate each identified obstacle's difficulty — overcomability, time cost, workaround existence. May optionally use search tools to validate assessments.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Paper landscape scan within selected field(s). Strict import of literature-engine/literature-overview skill. Hard constraint: at least 80 papers scanned.

yogsoth-ai/north-star-crystallization

Skill Claude CodeCodex

Quick web scanning for field landscape understanding. Strict import of web-browsing/web-search skill. Hard constraint: bravewebsearch count=10 per call, at least 150 total search results before completing.

yogsoth-ai/north-star-crystallization

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/north-star-crystallization

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/north-star-crystallization

Skill Claude CodeCodex

Fuse the GoalTree root node and user motivation into a single crystallized North Star statement. Format: '[verb] [specific goal], through [method/path], solving [what problem], ultimately [what impact]'. Quality checks: specific? ambitious? achievable?