python-stdlib

A comprehensive Python learning repository!Easy reading of learning documents:

GenPark AI Agent Skill - Resolves and fuses fragmented entity mentions into unified canonical nodes using Jaro-Winkler string similarity and connected component clustering.

GenPark AI Agent Skill - Belief revision logic engine (AGM postulates) detecting factual and logical contradictions, pruning obsolete beliefs, and preserving consistent world states.

GenPark AI Agent Skill - Distribution-free conformal prediction sets with rigorous marginal coverage guarantees, calibrated non-conformity scores, and split conformal inference.

GenPark AI Agent Skill - Resolves and fuses fragmented entity mentions into unified canonical nodes using Jaro-Winkler string similarity and connected component clustering.

GenPark AI Agent Skill - Post-processing confidence calibration using temperature scaling, expected calibration error (ECE), and Brier score evaluation.

GenPark AI Agent Skill - Pairwise Bradley-Terry and Elo rating tournament engine for ranking multi-agent strategies, prompt mutations, and generated tool solutions.

GenPark AI Agent Skill - Pure Python parser converting Planning Domain Definition Language (PDDL 2.1) domains, action schemas, and problem goals into structured JSON AST objects.

GenPark AI Agent Skill - Dynamically synthesizes and evaluates runtime assertions, pre/post-conditions, and state invariants to detect data corruption before crashes occur.

GenPark AI Agent Skill - Computes Personalized PageRank (PPR) over agent memory graphs for context-sensitive entity relevance and associative recall.

GenPark AI Agent Skill - Simple Temporal Network (STN) constraint solver checking temporal consistency, calculating earliest/latest event bounds, and propagating deadlines via Floyd-Warshall.

GenPark AI Agent Skill - Mixture-of-Agents (MoA) multi-layer aggregator synthesizing diverse candidate proposals from heterogeneous sub-agents into high-consensus outputs.

GenPark AI Agent Skill - Distribution-free conformal prediction sets with rigorous marginal coverage guarantees, calibrated non-conformity scores, and split conformal inference.

GenPark AI Agent Skill - Iterative self-rewarding LLM judge scoring multi-turn agent outputs and synthesizing contrastive hard-negative prompt variations.

GenPark AI Agent Skill - Kahneman-Tversky Optimization (KTO) loss evaluator aligning agents directly on unpaired binary feedback (thumbs-up / thumbs-down) using prospect theory loss aversion.

GenPark AI Agent Skill - Fast modularity community detection algorithm partitioning large agent memory graphs into coherent thematic subgraphs.

GenPark AI Agent Skill - Partial-Order Causal Link (POCL) planning engine maintaining causal dependencies, open subgoals, and ordering constraint promotion/demotion.

GenPark AI Agent Skill - Synthesizes property-based and counterfactual unit test inputs (fuzzing boundary values, null states, edge cases) to reproduce runtime tool bugs.

GenPark AI Agent Skill - Risk-coverage trade-off optimization; controls agent abstention, fallback escalation, and human-in-the-loop triggers under dynamic risk budgets.

GenPark AI Agent Skill - Computes Personalized PageRank (PPR) over agent memory graphs for context-sensitive entity relevance and associative recall.