Skill UI

This tool facilitates comprehensive research by pulling relevant information from multiple Notion sources. It synthesizes scattered data into highly structured documentation, such as detailed briefs, comparative analyses, or executive reports. It ensures all claims are supported by accurate inline citations and links, making it ideal for market research, project documentation, or academic reporting where source traceability is critical.

This skill automates the transformation of high-level product specifications (PRDs) or feature specs stored in Notion into an actionable development lifecycle. It systematically parses requirements, generates structured implementation plans, breaks down complex needs into manageable, linked tasks, and facilitates continuous progress tracking, ensuring all development artifacts remain synchronized with the original spec.

This guide provides comprehensive details on the OpenPitrix application management system within KubeSphere. It covers the entire application lifecycle, including managing app repositories (Repo), uploading and versioning templates (Application/ApplicationVersion), conducting review processes, and finally deploying/upgrading applications (ApplicationRelease). Use this skill when troubleshooting App Store interactions, understanding KubeSphere's backend APIs, or managing deployed workloads.

This specialized tool generates a pure LaTeX abstract for academic papers. It takes the fully revised body, core topic, and detailed preferences (such as audience, style, and emphasis) as inputs. It ensures the abstract is a concise, faithful summary, covering the problem, approach, evidence, and main results while adhering to strict structural and stylistic guidelines.

This tool assists researchers in structuring complex academic papers by systematically mapping specific claims within designated sections (Introduction, Method, Results, Discussion) to available BibTeX citation keys. By planning citations beforehand, users can ensure proper citation density, maintain structural integrity, and guarantee that every critical claim is adequately supported according to the paper's required style and focus.

This stub experiment generator is designed for the meta-paper-write demo. It takes a topic phrase and deterministically produces a 20-row CSV file containing baseline and generated results. This ensures stable and reproducible results for demonstration purposes, but should not be used for real scientific data.

This tool generates a comprehensive, structured, five-section academic paper outline (Abstract, Introduction, Method, Results, Discussion) based on a provided research topic, preference brief, and source references. It ensures the outline contains sufficient substance and integrates multiple citation keys, serving as a robust foundation for a full-length research paper.

This tool reads a CSV containing three columns (x, y_baseline, y_ours). It uses matplotlib to generate a two-line plot visualizing the results and saves the final output as a PDF file. It is specifically designed for visualizing performance comparisons in scientific papers.

Use the Composio CLI to automate the entire Pull Request review and Continuous Integration (CI) triage process for GitHub and GitLab. This tool fetches code diffs, analyzes failure logs, posts detailed inline review comments, and iteratively patches and re-runs CI checks until the code passes, significantly enhancing code quality and developer efficiency.

Generates high-quality, short video clips (3-15s) using the Seedance 2.0 model. It accepts structured English prompts, an optional starting frame image, and style/identity reference images to ensure character and visual continuity. Supports multiple cloud backends (OpenRouter, Volcengine, BytePlus), making it ideal for storyboarding, cinematic concept visualization, or short film pre-production.

This tool automates the diagnosis of production errors tracked by Sentry. By leveraging the Composio CLI, it retrieves comprehensive issue details, full stack traces, breadcrumbs, and associated commits. It maps stack frames to local source code, allowing agents to propose fixes and triage issues directly, eliminating manual copy-pasting.

A utility for managing and installing specialized AI skills into the Codex environment. It supports fetching curated skills from predefined sources (like openai/skills) or installing custom capabilities directly from any GitHub repository, including private ones. It handles listing available skills, installing specific modules, and provides robust fallback methods (download/git sparse checkout).