yogsoth-ai

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…

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,…

Campaign for mapping argument structures — extract claims, link evidence, assess strength, synthesize positions. Produces argument graphs in the wiki vault.

Assumption Destruction Campaign — open new solution spaces by negating, reversing, and challenging fundamental assumptions.

SOTA Performance Baseline Campaign — 5 strategies for systematically collecting, standardizing, and analyzing performance data across methods. Produces standardized comparison tables, progress curves, and headroom analysis.

Evaluation Methodology Archaeology Campaign — 5 strategies for systematic analysis of AI/ML benchmarks, metrics, and leaderboards. Reveals construct validity issues, saturation, data contamination, and evaluation protocol inconsistencies.

Biomimicry Campaign — discover transferable solutions from biological systems via Design Spiral, BioTRIZ, functional analogy, ecosystem patterns, and evolution strategies.

Boundary Analysis Campaign — probe where methods fail, map validity envelopes, test robustness, catalog failure modes, detect scaling limits. 5 strategies, 3 tactics, 11 subagent SOPs.

Perform bisociation at multiple abstraction levels

Complete blend with background knowledge

Compose new connections in blended space

Construct complete 4-space blends with emergent structure. Orchestrates input-space-construction → generic-space-extraction → blend-composition.

Run blend as mental simulation

Combinatorial Creativity Campaign — produce emergent concepts via concept blending, multi-level bisociation, and function combination (Fauconnier-Turner)

Synthesize all combinatorial creativity outputs

Fauconnier-Turner 4-space model: Generic + Input1 + Input2 → Blended Space

SOTA Performance Baseline Campaign — 5 strategies for systematically collecting, standardizing, and analyzing performance data across methods. Produces standardized comparison tables, progress curves, and headroom analysis.

Assess systematic biases in the evidence body — publication bias, reporting bias, and selective outcome reporting. Budget: 40 studies, 40 effect sizes, 40 web searches.

Track evidence accumulation over time — cumulative meta-analysis protocol design. Budget: 40 studies, 40 effect sizes, 30 web searches.

Design structured data extraction form for systematic meta-analysis data collection

Systematically extract effect sizes and conditions from papers for meta-analytic synthesis

Determine effect size types and calculation methods for meta-analytic synthesis

Build evidence network graph for network meta-analysis — nodes, edges, geometry assessment

Plan the statistical synthesis approach — model selection, heterogeneity strategy, and reporting

SOP for detecting and resolving concept aliases — merge duplicate pages, redirect edges.

SOP for creating a claim page in the vault — atomic proposition with type classification, source attribution, and initial confidence.

SOP for creating a new concept page with proper frontmatter, content, and initial edges.

SOP for flagging contradictions in the causal model — identify conflicting evidence or mechanism claims.

SOP for creating a dimension page — documents an axis of variation with its values and semantics.

SOP for creating multiple edges in a batch — efficient bulk relationship creation.

SOP for attaching evidence to a claim — create typed edge (supported_by, contradicts, qualifies) with evidence quality metadata.

SOP for linking evidence pages to causal claims — creates supported_by or contradicts edges.

Identify what the literature has NOT addressed — missing methods, untested combinations, unexplored applications, contradictions without resolution. Used by all strategies.

Identify recurring themes across papers using qualitative coding methodology. Produces a codebook with theme definitions, supporting evidence, and frequency counts. Used by narrative-review.

Generate PRISMA-compliant flow data documenting the screening funnel — counts at each stage (identification, screening, eligibility, inclusion) with exclusion reasons. Used by systematic-survey via prisma-screening tactic.

Construct a hierarchical field map from paper collection — multi-level taxonomy with parent/child relationships, paper counts per node, and maturity indicators. Used by scoping-survey.

Determine when additional searching yields diminishing returns. Analyzes the latest expansion batch against existing corpus to judge continue/near-saturation/saturated. Used by snowball and systematic-survey.

Validate and prioritize starting papers for snowball surveys. Evaluates which seeds will yield the richest citation traces based on citation count, recency, and network position.

Structured data extraction from deep-read papers — produces comparison tables (method, dataset, metrics, results, limitations). Used by systematic-survey and deep-survey.

Methodological rigor scoring for papers — evaluates bias risk, reproducibility, sample adequacy using established frameworks. Used by systematic-survey.

Pick which candidate angle to write the article around, cross-checked against the verified bundle so the chosen angle is actually substantiated by the paper (not just appealing at the skim stage). Use this as the first step of drafting, after…

Writing strategy that turns a verified paper bundle into a finished public-audience article — selecting an angle, applying a pre-set style constraint during drafting (never a post-hoc rewrite), and checking the result for drift against the bundle. Use this…

Deep-reading strategy that turns a single specified academic paper into a structured, source-anchored bundle (problem, method, key results, limitations) ready for fact-checking and article drafting. Use this whenever the user names one specific paper (by…

Strict verification path — runs an exhaustive precision check and an exhaustive recall check against the bundle before drafting, then a drift check after drafting, routing any failure back to the appropriate upstream step. This is the default (and, in v1,…

Finalize a paper's verified reading output into the exact bundle schema (problem/method/key_result/limitation, each with a source_anchor) that all downstream fact-checking and article-drafting sops consume. Use this as the last step of the deep-read strategy,…

Fixed lookup table mapping a detected verification failure type (precision_fail, recall_fail, drift_fail, none) to the specific upstream pipeline step to route back to. Use this immediately after pre-write-precision-check, pre-write-recall-check, or…

Five-minute skim pass over a single academic paper (title, abstract, headings, figures, conclusion only) to classify the paper's type and draft candidate public-audience angles before any deep reading happens. Use this as the entry point whenever the user…

Write a WeChat article's opening 1-3 sentence hook using one of four formula families (curiosity, story, value, contrarian), grounded in the verified bundle so the hook doesn't overpromise. Use this after angle-selection has chosen the article's framing,…

SOP wrapping vault_add_edge — create a typed relationship between two vault pages.

SOP for wiki page creation/update — create or update a synthesized wiki page with edges and index update.

SOP wrapping vault_query_graph — traverse knowledge graph from a node to explore its neighborhood and context.

SOP for source page creation — write immutable source page capturing raw material, then update search index.

SOP wrapping vault_lint — run batch validation, report issues, optionally auto-fix safe problems.

SOP wrapping vault_search — BM25 full-text search across vault pages. Returns ranked results with snippets.

Tactic for compiling research findings into vault pages — orchestrates page creation, updates, edge linking, and index maintenance. Minimum yield ≥3 page operations per invocation.

Tactic for vault health upkeep — lint, orphan resolution, merge candidates, confidence updates. Minimum yield ≥1 issue resolved per invocation.

Mechanism-Gap Hunting Campaign — hunt the specific link where scientific progress is BLOCKED, not where literature is empty. Use this instead of gap-analysis whenever the goal is truth-seeking / AI4S research rather than finding a publishable white-space —…

Boundary Analysis Campaign — probe where methods fail, map validity envelopes, test robustness, catalog failure modes, detect scaling limits. 5 strategies, 3 tactics, 11 subagent SOPs.

Sensitivity Analysis Campaign — identify which assumptions are most critical by measuring their impact on conclusions. 5 strategies (parameter-screening, variance-decomposition, assumption-criticality, uncertainty-propagation, decision-sensitivity), 3…

Gap Analysis Campaign — identify, classify, validate, and prioritize research gaps via systematic evidence mapping. 5 strategies (gap-identification, gap-classification, gap-validation, gap-prioritization, gap-synthesis), 3 tactics, 12 subagent SOPs.

Insight Campaign — deep root-cause analysis of why research gaps persist. 5 strategies (root-cause-drilling, stakeholder-mapping, tension-mining, question-reformulation, assumption-audit), 4 tactics, 13 subagent SOPs.

Problem Reformulation Campaign — question the problem itself. Escape dominant ideas, reframe from multiple perspectives, apply dialectical inquiry, assess wickedness, discover appreciative alternatives. 5 strategies, 3 tactics, 10 subagent SOPs.

Quick landscape scan — discover papers on a topic without full-text reading

Deep literature research — raw full text reading and targeted PDF queries for rigorous analysis

Medium-depth literature search — read AI-summarized reports for every paper analyzed

Append research process and results to the current Phase's context file. Each append MUST contain >=500 lines of markdown covering both process and results. Use this skill at plan-designated checkpoint points — typically after each strategy completes or at…

Create a new context file for a research Phase. Called once at Phase start to initialize the file that subsequent context-checkpoint calls will append to. Use this skill whenever a new research Phase begins and a fresh context file is needed.

Deep web research — fetches full page content for analysis. Snippets alone are PROHIBITED for conclusions.

Quick web scanning — discover pages, get snippets, find URLs. For orientation only, not substantive analysis.

Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent.