Skill UI

This skill demonstrates OpenCode's compatibility with MDA-compiled SKILL.md files. It verifies that the loader correctly parses crucial frontmatter fields (like name, description, and metadata) after the source has gone through the MDA compilation process, ensuring robust skill integration and data integrity.

This toolkit provides deterministic, programmatic capabilities for working with PDF documents. Users can extract structured data like text and tables, merge multiple PDFs, split documents by page ranges, fill out PDF form fields using JSON data, or generate entirely new PDFs from scratch using libraries like ReportLab. It is designed for explicit, byte-level operations, making it ideal for automation workflows that require precise document manipulation.

This skill serves as a comprehensive pre-flight check to ensure a brand profile is complete and all linked credentials/connectors are reachable. It validates required identity fields, voice/audience completeness, and live connector connectivity, without exposing any sensitive credential values. Use it after onboarding, key rotation, or profile edits to guarantee production readiness.

This guide teaches researchers how to rigorously assess a topic's geographic significance and determine its optimal fit within the Annals of the American Association of Geographers (AAG). It implements a two-part fit test—ensuring the argument is fundamentally geographic (space/place/scale are load-bearing) and possesses sufficient reach to interest neighboring subfields. It guides authors in choosing the correct area (e.g., Human, Physical, Methods) and appropriate journal venue (Annals vs. specialty). Use this when defining a project scope, overcoming reviewer critiques, or deciding wher...

This guide provides comprehensive strategies for writing the Related Work section for submissions to AAAI. It teaches authors how to robustly position their paper's novelty by distinguishing contributions from both established archival literature and contemporaneous non-archival work (like arXiv papers). It also addresses specific reviewer expectations across various AI subfields (NeurIPS, ICML, ICLR) and outlines clear structural templates for maximum impact.

This comprehensive skill guides authors through evaluating whether their chemistry manuscript meets the high standards for ACS Central Science. It assesses the work's central importance, broad scientific reach, and technical rigor across chemical subfields and adjacent disciplines (e.g., biology, materials, energy). It covers journal positioning, required evidence standards, structural guidelines, and reframing the narrative for maximum impact.

This tool guides authors on whether their manuscript fits the scope of Advanced Functional Materials. It emphasizes the critical structure-function-application chain, covering highly advanced fields such as optoelectronics, biomedical devices, and soft robotics. It provides criteria for methodology, required evidence, and journal-specific house style.

A comprehensive guide on positioning academic manuscripts within the broader field conversation, specifically for general education-research journals. It teaches researchers how to move beyond niche citation clusters to establish a field-wide gap, articulate the stakes, and connect the study to adjacent subfields, ensuring the contribution is broadly relevant.

This guide provides comprehensive best practices for ensuring scientific reproducibility in technical papers, particularly for electronics and information processing fields. It covers the critical pillars of documentation: environment setup, data sourcing and preprocessing, full algorithmic disclosure (including pseudo-code and hyperparameters), and robust statistical evaluation. By adopting these standards, authors can transform their work from potentially unverifiable results into credible, verifiable scientific contributions suitable for top-tier journals.

This skill is designed to polish and refine academic manuscripts intended for the American Historical Review (AHR). It focuses on enhancing the clarity, narrative flow, and authoritative voice of the prose, ensuring the work is accessible and engaging for historians across all subfields. It tightens the overall readability, minimizes unnecessary jargon, and helps frame evidence without altering the core arguments or academic content.

This guide teaches researchers how to construct credible, high-impact synthesis exhibits for academic reviews (e.g., Academy of Management Annals). It focuses on creating framework figures, who-studied-what synthesis tables, and coverage exhibits that summarize existing literature, rather than presenting new primary data estimates. Essential for systematically structuring and communicating complex knowledge fields.

This guide helps position academic manuscripts for a broad, four-field anthropological audience (sociocultural, archaeology, biological, linguistic). It teaches how to move beyond simple literature reviews by engaging the live scholarly conversation, challenging the dominant canon, and connecting disparate subfields to demonstrate a clear, theoretical contribution.