Skill UI

Provides a structured workflow for systematically accessing and analyzing official intellectual property data from the USPTO. This skill covers patent search (PatentSearch API), trademark status checks (TSDR), ownership transfer tracking, and building reproducible IP landscape logs. It is designed for data collection and record verification, emphasizing the use of official APIs and rigorous logging practices. (Warning: Not for legal advice.)

This tool facilitates bi-directional synchronization of marketing data (contacts, deals, campaigns) between connected CRM platforms, including Salesforce, HubSpot, Zoho, and Pipedrive. It ensures a single source of truth for sales and marketing by handling automatic field mapping, data deduplication, compliance validation (e.g., GDPR), and advanced conflict resolution. Designed for complex, enterprise-grade data governance, this method replaces manual CSV imports for reliable, governed data transfers.

The Unified Memory system provides a durable, inspectable context layer for sharing state and handoffs between multiple autonomous agents (harnesses) like Claude, Codex, and Hermes. It allows agents to save work state, transfer context, resume tasks, and search shared project knowledge across different scopes (project, team, user).

A comprehensive guide for preparing accepted research papers for final submission to major conferences (e.g., AAAI Press). This process covers strict template adherence, deanonymization of author details, managing copyright transfer, optimizing page counts (including purchasing extra technical pages), and ensuring all source files (LaTeX/Word, figures, bibliography) are correctly formatted for professional publication.

This skill guides users in elevating empirical findings from diverse sociological methods (quantitative, ethnographic, historical, etc.) into a generalizable, portable theoretical argument. It provides a structured framework to define core mechanisms, concepts, scope conditions, and observable implications, ensuring the contribution meets the rigorous standards of top-tier academic journals by proving its transferability beyond a single case or subfield.

This guide helps structure scientific manuscripts, particularly in conservation biology, to clearly define a novel gap in the literature. It teaches how to position the work against broad conservation debates, engaging multiple disciplines (ecology, social science, policy) to demonstrate the transferability and significance of the contribution to the field.

This guide provides an in-depth understanding of the peer-review process for Conservation Biology, covering double-blind review standards, editorial screening criteria, and expert review priorities. It teaches authors how to structure their research to explicitly demonstrate conservation relevance, novelty, and transferable implications, effectively stress-testing a manuscript against common desk-rejection grounds.

This guide provides a framework for rigorously defending the methodological design of scientific manuscripts in conservation biology. It covers advanced topics including detection modeling (occupancy, capture-recapture), addressing spatial structure and pseudoreplication, quasi-experimental designs (BACI, difference-in-differences), and systematic review protocols (PRISMA). The goal is to ensure that the evidence presented directly and credibly supports transferable, decision-relevant conservation conclusions.

This guide helps authors rigorously assess whether their scientific research meets the high standards of *Conservation Biology*. It provides a framework to test if a study is novel, transferable, and directly relevant to global biodiversity conservation decisions, moving beyond simple local descriptions. It helps structure the scope, choose the appropriate article type, and frame the core conservation problem.

This tool acts as an orchestrator for academic manuscripts submitted to Conservation Biology. It guides authors through the entire scientific writing lifecycle, helping them determine the appropriate article type (e.g., Review, Essay, Contributed Paper) and the necessary sequence of sub-skills (from study design to data analysis and relevance checks). It ensures the final work has direct, transferable implications for the conservation of biological diversity.

Provides an expert framework for authors submitting to the Conference on Robot Learning (CoRL). It guides writers on how to re-frame general computer science manuscripts into specialized, robust robot-learning narratives. The guide covers defining the contribution type, establishing the evidence bar (from simulation to real-world transfer), and strategically positioning the work against major robotics conferences like ICRA and IROS.

This guide helps transform rich but purely descriptive fieldwork, archaeological data, or linguistic observations into bold, transferable, and debatable theoretical arguments. It teaches how to explicitly define concepts, establish interpretive mechanisms, set scope conditions, and incorporate positionality, ensuring the work is robust enough to withstand academic critique.