Skill UI

Guides users through writing, reviewing, and editing documentation with consistent structure, tone, and accuracy; ideal when creating README files, updating docs folders, or refining markdown drafts per contribution standards.

A specialized skill designed for agents to proactively identify, analyze, and strategize high-impact contributions within trending Open Source repositories. It systematically performs repository discovery, extracts targeted issues (like 'help wanted' or 'good first issue'), and conducts deep feasibility analysis (including mergeability and complexity). Finally, it generates a structured 'Contribution Dossier' with actionable plans, significantly accelerating the process of becoming a top-tier OSS contributor.

This skill transforms a refined research proposal or method idea into a detailed, structured, and claim-driven experiment roadmap. It helps users determine exactly which experiments to run, in what order, and what evidence is needed to support the core claims of a research paper, ensuring focus on novelty, simplicity, and genuine contribution.

Defines mandatory contribution guidance for repository work, insisting contributors locate workflow documentation, follow branch/commit/PR templates, and run required linters or tests before submitting changes, without executing forbidden scripts.

This skill provides comprehensive guidelines for contributing and managing commands within VS Code extensions. It covers crucial best practices, including naming conventions, defining visibility (e.g., Command Palette vs. Side Bar), and structuring commands for optimal user experience. Use this when adding, updating, or understanding the architectural requirements for extension commands.

Scans specified files or folders to infer existing syntax, writes a project coding standards or contribution doc using configurable templates, and optionally reports or fixes inconsistencies before saving to the first available standard filename.

This skill analyzes your entire codebase to ensure it is optimized for AI contributions and developer tooling. It automatically generates essential configuration files such as `AGENTS.md`, Copilot instructions, CI workflows, and customizable issue templates. It learns from your existing PR review patterns to tailor the setup precisely to your project's stack. Use it when you need to prepare a repository for advanced AI-assisted development.

This advanced tool surfaces critical, often unrecorded, evidence of human-AI collaboration during development sessions. It analyzes git diffs and conversational context across multiple layers to classify the signal level (HIGH/MEDIUM/LOW), measure technical complexity, detect decision forks, and quantify the specific contribution of the AI model, providing structured data for post-session retrospectives and accountability.

This skill enables the creation of a robust 'harness' system for coding agents within a repository. It addresses the need to prevent repeated AI-generated coding mistakes by implementing durable instructions, guardrails, regression tests, and failure memory. It treats the target repository as the source of truth, ensuring consistency and maintaining high reliability across all automated contributions.

A comprehensive guide for revising complex multi-agent research papers for top-tier conferences. It emphasizes an 'interaction-first' approach, ensuring the unique contribution is highlighted on the first page. The guide mandates naming solution concepts, making the game legible, and rigorously pairing every major claim with a formal proof, self-play, or deployment experiment.

This comprehensive guide assists authors in evaluating the suitability, framing, and structural requirements for submitting research on wireless, mobile, IoT, sensing, and network security/privacy to the ACM WiSec conference. It provides critical expertise on aligning the paper's contribution type, threat model, and evidence standards with top-tier academic conference expectations, ensuring the work emphasizes the physical or network context.

This skill provides comprehensive strategic guidance for authors targeting the ACM/IEEE Joint Conference on Digital Libraries (JCDL). It helps authors assess manuscript fit, re-frame research from journal or arXiv styles, and strengthen evidence by focusing on digital library contributions (metadata, preservation, access). Use it when preparing a detailed submission strategy for this specialized CS venue.