Skill UI

Transforms repo structure and commit history into two actionable markdowns—an architecture summary and a narrative story—so analysts can trace system intent, data flow, and team evolution.

Evolver is a sophisticated self-evolution engine designed for advanced AI agents. It analyzes runtime logs and operational history to autonomously identify performance bottlenecks, failures, and opportunities for improvement. It applies protocol-constrained evolution, communicating exclusively via a local Proxy Mailbox to interact with the EvoMap Hub for asset submission and task claiming.

A comprehensive toolkit for reconstructing and analyzing the evolutionary history of biological sequences (genes, proteins, genomes). The standard workflow includes multiple sequence alignment using MAFFT, robust maximum likelihood tree inference with IQ-TREE 2 and FastTree, and advanced visualization/manipulation using ETE3. This skill is essential for studies in viral phylodynamics, microbial genomics, protein family evolution, and molecular clock dating.

This specialized skill provides a robust framework for tracking and updating financial investment signals. It systematically assesses the impact of new market information—such as breaking news or price movements—on existing investment theses. The system determines if a signal is Strengthened, Weakened, Falsified, or Unchanged, providing a crucial layer of continuous signal validation for sophisticated financial decision-making.

Provides comprehensive methods for executing ClickHouse schema migrations, including column changes, engine migrations, and complex modifications like changing ORDER BY. It teaches best practices for zero-downtime schema updates and implements a versioned migration runner pattern for robust data evolution.

A universal infrastructure for automatically evolving and optimizing AI agents across any domain. Using LLM-driven mutation and iterative solve-observe-evolve cycles, it enhances critical components like prompts, skills, and memory by benchmarking performance against measurable datasets, enabling the creation of self-improving AI systems.

This comprehensive guide assists developers in maintaining and upgrading integrations with the Finta fundraising CRM API. It covers critical areas such as API version detection, handling schema evolution (e.g., structured stage objects), best practices for data migration, and troubleshooting common breaking changes (like field renames, permission changes, or enum changes) to ensure continuous and reliable data synchronization.

A comprehensive guide detailing best practices, API version detection, and schema migration strategies for upgrading the Glean enterprise search platform. It covers critical steps like updating connectors, handling schema evolution (e.g., flat permissions to structured ACL), and implementing robust rollback strategies to ensure uninterrupted search functionality during major platform updates.