Skill UI

The Witness toolkit provides cryptographic signing and verification for all documented code fixes. It ensures that specific fix markers remain present across all releases, and crucially, it maintains a temporal history (JSONL) allowing users to pinpoint the exact commit that introduced a regression. Ideal for robust CI/CD pipelines and release gating.

This guide models the comprehensive review pipeline for ECAI submissions, detailing the single-round, double-blind process. It covers the summary-reject phase, full review by area chairs, the single rebuttal window, and the final accept/reject decision. It contrasts this process with journal revisions and other major AI conferences (AAAI, IJCAI) to help authors strategize for submission success.

This skill acts as the central orchestrator for preparing Environmental Science & Technology (ES&T) manuscripts. It guides users through the complex submission pipeline by determining the optimal article type (e.g., Research Article, Critical Review, Policy Analysis) and the current stage of writing, ensuring the content maintains clear environmental significance. It routes users to specific sub-skills like data analysis, literature positioning, and writing style.

Provides an in-depth strategic guide to the academic conference submission pipeline, using ISCA as a detailed case study. It meticulously details the two-round review structure, the critical rebuttal/revision window, and offers actionable strategies for authors to navigate reviewer feedback, committee deliberations, and the final decision-making process in top-tier architecture venues.

This skill provides comprehensive command-line interface (CLI) support for OpenViking, enabling agents to manage external resources, perform filesystem operations, and execute data tasks. It covers adding resources, importing/exporting data, browsing directories, reading/writing files, and advanced searching (find, grep, search). Use cases include data pipeline setup, knowledge graph manipulation, and system maintenance.

A comprehensive deep dive into the PPoPP conference review pipeline. This guide models the single-round, double-blind review process, detailing how submissions are evaluated by the Program Committee and External Review Committee. It covers critical aspects such as the author response rebuttal, automatic poster consideration, and the specific technical axes reviewers prioritize (e.g., scalability, concurrency correctness, baseline honesty) for parallel programming research.

A comprehensive guide detailing the complex submission and evaluation pipeline for TACAS (Tools and Algorithms for Scientific Applications). It models key features such as category-specific blind review, the mandatory parallel artifact evaluation for tool papers, and the single-round conference decision-making process, helping authors strategically prepare their submissions.

A comprehensive guide for positioning research papers for top-tier security conferences like USENIX Security. It covers defining coverage against 'Big-Four' and specialty venues, ensuring novelty across multi-cycle academic pipelines, identifying mechanism-level differentiators, and mastering double-blind citation mechanics for maximum impact.

This skill models the entire peer-review pipeline for Web Conferences (WWW), detailing the stages from abstract submission to final notification. It guides authors and reviewers on the implications of track-scoped double-blind review, emphasizing criteria such as Web-centricity, evidence scale, and ethical considerations required for acceptance.

webmcpify is a specialized pipeline designed to make existing web applications agent-ready. It extracts user-facing functionality and exposes it as WebMCP tools, allowing AI agents to interact with the application via structured, reliable tool calls rather than fragile DOM scraping. The tool guides developers through detection, inventory, integration, verification, and healing phases to ensure robust AI interoperability.

This module provides a lazy adapter registry to seamlessly integrate OpenMed's clinical PII detection with major NLP frameworks like Microsoft Presidio, spaCy, and LangChain. It allows users to use OpenMed for enhanced PII recall, merge spans, or implement on-device PHI redaction guardrails without rewriting entire pipelines.

A powerful post-deployment monitoring tool designed for continuous quality assurance in CI/CD pipelines. It captures a performance baseline before deployment and then continuously monitors live applications after deployment. It alerts on critical failures (e.g., 5xx errors), performance regressions, and unexpected changes, ensuring that new releases maintain production stability.