yogsoth-ai
Organization900+ 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.
Categories
Indexed Skills (50)
abductive-hypothesis-generation
Strategy: Inference to the best explanation in the face of anomalies
ablation-design
Design ablation studies to isolate component contributions in ML systems
adversarial-escalation
Strategy: Progressive pressure escalation — starts with surface-level challenges and escalates to fundamental assumption attacks based on defender confidence decay.
adversarial-persona
Strategy: Role-play attacks from hostile personas — competing lab researcher, hostile reviewer, funding skeptic, domain outsider — each with distinct attack motivations and blind spots.
adversarial-roleplay
Tactic: Construct detailed hostile persona, attack artifact from that persona's perspective, record successful attack paths for aggregation.
adversarial-stress-testing
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.
ahrq-picme-assessment
SOP: Use the AHRQ PiCMe framework to systematically assess a research gap across 6 dimensions
alternative-analysis
Strategy: What-If Analysis, Alternative Futures, and Four Ways of Seeing — generate competing explanations and scenarios to challenge the dominant narrative.
anomaly-driven-abduction
Tactic: Inductive/abductive path — describe anomalous phenomena, generate candidate explanations, rank by plausibility
ablation-component-mapping
Map system architecture to ablatable units for ablation studies
ablation-execution
Remove components one by one from a system, record the response/impact of each removal.
abp-vulnerability-classification
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.
abstraction-extraction
Extract abstract principles from concrete domain cases. Strips domain-specific details to reveal transferable mechanisms.
abstraction-laddering
Move between concrete and abstract framings — 3 levels up (Why?) and 3 levels down (How?) to find the most productive research level.
abstraction-to-design
Abstract biological principle to design principle. Bridge from biology to engineering.
action-priority-matrix
Compute Risk Priority Number (RPN = S x O x D), classify failure modes into H/M/L action priority per AIAG-VDA tables.
activity-listing
Enumerate all implementation activities from an experiment design
advocate-construction
Construct the strongest possible case for a rejected candidate or counter-position.
aggregation-method
Aggregate multiple ranking ballots into a consensus ranking using a specified social choice method.
ahp-weighting
SOP: Use the AHP (Analytic Hierarchy Process) to determine scoring-dimension weights, outputting a weight vector
ahrq-reason-classification
Classify gap root causes using AHRQ 4-reason framework (insufficient info, biased info, inconsistent info, not yet integrated).
alternative-futures
Generate 2-4 divergent scenarios from the same evidence base, each representing a plausible alternative to the artifact's conclusions.
alternative-model-generation
Generate alternative model formulations by relaxing, replacing, or generalizing specific assumptions.
alternative-scoring
Score each candidate alternative against all criteria to produce a score matrix.
alternatives-generation
Generate alternatives for every known approach — ensure no approach goes unchallenged.
analogy-chain
Chain analogies to deeper levels (3-5 layers). Each layer reveals new aspects and insights not visible at the surface.
analogy-quality-assessment
Assess analogy depth (surface/structural/systemic). Determines whether an analogy warrants transfer investment.
and-or-decompose
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).
anomaly-characterization
SOP: Describe and classify anomalous phenomena that existing theory cannot explain
answering-sequence-design
SOP: Design the optimal answering order for sub-questions
appreciative-discovery
Search for positive deviants and extract transferable principles using Appreciative Inquiry.
argument-extraction
Extract and steel-man the core arguments supporting a given opinion cluster.
ablation-brainstorm
Remove components one by one, observe system changes to reveal hidden dependencies and generate ideas from structural gaps.
actor-profiling
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.
adaptive-pair-selection
Iteratively select maximally informative pairs, execute comparisons, update ratings, and check convergence until ranking stabilizes.
adversarial-debate-protocol
Structured debate protocol that constructs an advocate, deploys critic attacks, and renders a judge verdict through iterative rounds.
analogical-transfer
Systematic structure-mapping from source to target domain (Gentner). Identify relational correspondences and transfer higher-order constraints.
anti-benchmark
Challenge industry best practices' hidden assumptions. Deconstruct benchmarks to reveal unexamined constraints.
appropriateness-bounding
Establish acceptability standards through RAND/UCLA Appropriateness Method or Consensus Conference protocols.
argument-crystallization
Distill the strongest arguments from each perspective through Argument Delphi or Dialectical Delphi methods.
argument-mapping
Campaign for mapping argument structures — extract claims, link evidence, assess strength, synthesize positions. Produces argument graphs in the wiki vault.
argument-synthesis
Strategy for synthesizing argument positions — aggregate evidence, resolve contradictions, produce synthesis reports identifying which claims survive scrutiny.
artifact-detection
Detect annotation artifacts and shortcuts in benchmarks
abstraction-ladder
Perform bisociation at multiple abstraction levels
alias-resolution
SOP for detecting and resolving concept aliases — merge duplicate pages, redirect edges.
analogy-extraction
Extract transferable structural principles from source domains. Orchestrates source identification → abstraction → structural mapping → transfer validation.
appreciative-reframing
Find positive deviants and reframe the problem from deficit-based to asset-based using Appreciative Inquiry.
argument-visualization
SOP for generating argument structure visualization — query graph for argument chains, format as mermaid diagram or indented tree, write to vault.
repo-dependency-graph
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 repo or package, "画依赖图 / graph 化这个 repo / 把 skill 连边画出来 / 用 pyvis 出个图 / skill 关系图", or to audit how campaign→strategy→ tactic→sop skills connect. Trigger even if the user just says "给这个 package 做个图" without naming pyvis or HTML. Goes straight to HTML — never write an intermediate mermaid markdown first.
ask-constraints
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.
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.