Skill UI

This skill provides comprehensive capabilities for creating, editing, and managing professional presentations within the Lark (Feishu) ecosystem. It supports advanced content generation workflows, utilizing XML protocols, template searching, and layout linting to ensure high-quality, structured visual output. Ideal for automating report generation, slide decks, and structured corporate communications.

A browser-based skill for search, web scraping, login-required actions, and dynamic page interaction. Use it to access real websites, extract content, and operate pages in a live Chrome environment.

This powerful compiler ingests heterogeneous research inputs, including PDF papers, code repositories, experiment logs, and raw notes. It transforms this diverse data into a comprehensive, structured Agent-Native Research Artifact (ARA). The system extracts core knowledge atoms, builds cognitive maps (claims, concepts, heuristics), and generates a verifiable, executable knowledge package for advanced AI consumption and research iteration.

This tool functions as a post-task epilogue, designed to audit and record the entire research journey. It scans the conversation history at the end of a coding or research session to extract critical research artifacts, including decisions, experiments, dead ends, claims, heuristics, and major pivots. It systematically writes this provenance data into the structured `ara/` directory, ensuring a faithful and auditable trace of how the project truly evolved.

This tool performs a rigorous Level 2 semantic epistemic review of Agent-Native Research Artifacts (ARAs). It assesses six critical dimensions—including evidence relevance, falsifiability, and methodological rigor—to determine the content's intellectual soundness. It is used after initial structural validation to provide objective, constructive criticism, scoring the work from Strong Accept to Reject.

This skill integrates BuyWhere's product catalog surface, allowing AI agents to perform structured product searches, compare prices across various merchants, and discover deals. It is designed for developers building advanced e-commerce shopping agents, guiding them through the necessary API key setup and MCP configuration.

Utilizes Gemini AI to perform broad, comprehensive literature discovery for research papers. Unlike traditional academic APIs (like arXiv or Semantic Scholar), this skill decomposes topics into sub-problems and aliases, ensuring a wider net for finding relevant, cutting-edge academic work across various domains and venues. Ideal for initial research exploration and literature review.

This skill acts as a curated guide and index for AI/ML applications across diverse scientific domains, including biology, chemistry, climate science, and genomics. It helps researchers discover high-signal datasets, state-of-the-art models, and interactive demos hosted on platforms like Hugging Face, allowing for advanced tasks such as drug discovery, protein design, or climate modeling.

Utilize the OpenAlex API to conduct comprehensive academic research. This tool provides deep metadata, including open citation graphs, institutional affiliations, and detailed funding information, going beyond basic preprint searching. Ideal for academic researchers needing robust, open-access publication data.

A persistent knowledge base that transcends standard RAG by integrating three core layers: raw source storage, a structured knowledge graph, and a dynamic wiki layer. It ingests documents once, automatically extracting entities and relations to build a comprehensive, cross-referenced, and verifiable knowledge graph. Ideal for enterprise research, complex Q&A, and deep knowledge accumulation.