
Claude Skills by yogsoth-ai
github.com/yogsoth-aiCampaign for building causal models — identify variables, map mechanisms,
Strategy: Run BEFORE building any validator (sandbox/simulation/benchmark). Builds a non-circularity matrix of theory-claim × validator-assumption to detect when a validator would 'confirm' a theory only because it was built on the theory's own premises. A circular validator's PASS carries zero evidential weight. Methods: Cartwright nomological machines, Winsberg sanctioning-of-simulations, tautology detection.
Strategy for extracting claims from source material — identify propositions,
SOP for creating a claim page in the vault — atomic proposition with
SOP for systematically enumerating combinations across dimensions.
Tactic: Compile the feeding plan into an ARA via the external compiler, then run Level-2 rigor review over it
Tactic for breaking compound concepts into atomic parts — split over-broad
Strategy for mining concepts from sources — systematic extraction, page
SOP for creating a new concept page with proper frontmatter, content,
SOP for assigning calibrated confidence scores to causal claims based
SOP for updating confidence scores on claims and evidence pages based
SOP: Read context/INDEX.md and sort the whole directory into three ARA material types (report line, process line, images), locate the north-star file, and draft a feeding plan for the ARA compiler
Tactic: Review a context/ directory — sort material into ARA types, locate and align the north-star, and produce a feeding plan for the compiler
SOP for flagging contradictions in the causal model — identify conflicting
Construct the strongest counter-argument against a specific assumption
Systematically surface hidden assumptions underlying a decision with
Identify bottleneck dimensions from radar data with severity ranking.
Multi-Criteria Scoring Campaign — evaluate and rank candidates against
Simulates diverse stakeholder perspectives and their strongest objections/support
Paper landscape scan at abstract level — discover MCDA, voting theory,
Full-text deep reading of methodology papers — complete understanding
Paper AI summary reading — deeper understanding of specific methodology
Portfolio Optimization Campaign — select balanced combinations from candidate
Determines when to stop iterating — coverage threshold met or marginal
Build a complete scoring matrix through criterion definition, weighting,
Tests conclusion robustness by perturbing parameters and observing rank
Deep web research with full-page extraction — detailed methodology guides,
Quick web scan to discover relevant pages — methodology references, case
Tactic for reasoning about what would happen if variables were different
Surface, perturb, and prioritize assumptions by disruption potential.
Perturb each assumption, observe system response. Systematic stress-testing
Enumerate implicit assumptions in a problem statement or existing solution.
Catalog all known solutions/methods in a domain with performance, applicability,
Systematically enumerate parameter dimensions and generate viable combinations.
Pairwise consistency evaluation to reduce solution space by identifying
Evaluate pairwise value consistency (logical/empirical/normative)
Identify factors and their levels for a problem, then design an experiment
Systematically catalog all failure modes in a domain or method, producing
Score ideas on novelty dimensions — structural distance from known solutions,
Abstract-level paper scanning for broad coverage. Import of literature-engine/literature-overview
Deep paper analysis with full text reading. Import of literature-engine/literature-research
Mid-depth paper analysis via AI-generated summaries. Import of literature-engine/literature-search
Rotate through reviewer/practitioner/theorist/time-machine/novice perspectives
Generate PO provocations and extract constructive movement. Orchestrates
Determine when additional ideation yields diminishing returns. Analyzes
Deep web page analysis with full content extraction. Import of web-browsing/web-research
Quick web scanning for landscape understanding. Import of web-browsing/web-search
Creative Generation Engine — transforms research hypotheses into diverse
Systematically identify all assumptions in a method/model — structural,
Systematically extract all assumptions (stated, implicit, boundary, mathematical,