Skill UI

This comprehensive guide outlines the rigorous standards for creating publication-grade tables and figures for top-tier academic journals, such as The Review of Economic Studies. It emphasizes the principles of elegance, economy, and self-containment. Authors must ensure that every exhibit carries one single, clear result, presents interpretable magnitudes (not just stars), and is generated programmatically from code to guarantee reproducibility and consistency.

This comprehensive tool guides researchers in drafting rigorous, point-by-point responses to referee reports (R&R). It ensures that every comment is systematically addressed, classifying fixes and providing structured revisions. Critically, it mandates that all substantive fixes must be backed by real, reproducible re-runs, citing specific numbers generated via an execution bridge to maintain scientific rigor.

A comprehensive guide for computer graphics researchers detailing how to achieve result-level reproducibility, especially for major conferences like SIGGRAPH. It emphasizes pinning all provenance—including assets, random seeds, hardware stacks, and hyperparameters—and methodologies for handling non-determinism in floating-point math and stochastic simulations, ensuring that the reported figures and timings can be regenerated by any reader.

A sophisticated guide for social science researchers to transition from empirical evidence (coefficients, fieldwork notes) to robust, theory-driven narrative. It teaches how to structure an argument by identifying the four core components: Actioner, Structural Condition, Mechanism, and Consequence. This method ensures the explanation moves beyond mere correlation to deeply explain *how* and *why* social outcomes are generated or reproduced.

A comprehensive guide for authors submitting technical papers, detailing methods to ensure that all reported claims, figures, and benchmark numbers can be independently regenerated. This involves creating VM-ready, self-contained artifacts, mapping every claim to a specific script, and defining clear reproducibility levels (Turnkey, Scripted) to satisfy conference requirements.

This stub file is automatically generated by tooling (e.g., missing import scanners). It serves as a placeholder where actual functional code should be implemented. It does not contain active logic and requires manual development.

Performs comprehensive, two-layer validation on generated plans. Layer 1 executes instant structural checks (format, dependencies, compliance) while Layer 2 triggers specialist agents (e.g., security, DB, performance) based on plan content. The system forces resolution of all identified issues before allowing execution, supporting auto-fixes and guided human input.

Generates highly accurate, structured summaries from complex clinical notes, such as discharge summaries, SBAR reports, or problem lists. The core function is to anchor every generated claim to a specific source span within the original text, guaranteeing verifiability and eliminating hallucination. Essential for clinical documentation drafting and chart abstraction.

This skill enables the execution of OpenSquilla agents against complex, real-world software engineering benchmarks (SWE-bench). It runs the entire process—from pulling the necessary Docker image to collecting the patch and running official evaluations—in a containerized environment. Use it to test an agent's ability to solve specific coding issues, benchmark performance across datasets (e.g., verified, multilingual), or verify if a generated patch successfully resolves an instance.

This skill scans a specified local directory, extracts essential metadata from the files, and builds a comprehensive, searchable index. It then securely uploads this generated index to a configured remote search service via HTTP, making local files discoverable across remote platforms.

Adds any Power Platform connector to a Power Apps code app. Works as a generic fallback for connectors not covered by dedicated skills, supporting SharePoint, Teams, Excel, SQL, Azure, and more. Helps identify connections, add data sources, inspect generated TypeScript services, and verify builds.

Adds existing Dataverse tables to Power Apps code apps with generated TypeScript models and services, or creates new Dataverse tables via API. Supports schema planning, dependency ordering, CRUD, and file/image uploads. Use when connecting to Dataverse or querying table data.