Skill UI

This comprehensive skill guides the user through the entire process of creating a deep, multi-layered AI persona (Soul.md). It helps define the identity, core rules, name, and visual prompts for agents designed for the OpenClaw platform. Users can initiate character creation via guided prompts or a random 'gacha' draw, ensuring a cohesive and compelling character profile.

Facilitates protein characterization experiment design using Adaptyv Bio Foundry API and Python SDK. Allows cost estimation, sequence submission, progress monitoring, and result retrieval for binding screening and affinity assays. Requires bearer token authentication and Python 3.11+.

This comprehensive skill guides the user through the entire process of creating a deep, multi-layered AI persona (Soul.md). It helps define the identity, core rules, name, and visual prompts for agents designed for the OpenClaw platform. Users can initiate character creation via guided prompts or a random 'gacha' draw, ensuring a cohesive and compelling character profile.

This comprehensive guide helps authors determine if their research on cementitious materials—covering hydration, microstructure, and durability—is sufficiently mechanistic for top-tier journals. It emphasizes shifting the narrative from simple mix-design performance reporting to establishing fundamental chemical, microstructural, or degradation mechanisms, supported by rigorous, quantitative characterization.

This comprehensive guide assists reviewers and authors in determining the most appropriate venue for programming language research within the SIGPLAN community. It provides a detailed 'center-of-mass' test, helping categorize contributions based on whether they emphasize metatheory (POPL), performance engineering (PLDI), functional techniques (ICFCP), or the broad design scope characteristic of OOPSLA. It guides the decision-making process for academic submissions.

This utility provides fundamental text processing capabilities, including detailed word and character counting, frequency analysis, and various text transformations (e.g., uppercase, title case). It is designed for analyzing documents and batch processing files, supporting output in both JSON and human-readable formats.

This skill detects and recovers text accidentally typed using the Taiwanese Bopomofo keyboard while the input method was stuck in English mode. It maps garbled keystrokes like su3cl3a8 back to Traditional Chinese characters using a decoder script and context analysis. It is designed for Taiwanese developers who forget to switch input methods when prompting AI, ensuring requests are understood without retyping. It excludes technical strings like code or URLs.