Skill UI

This comprehensive skill guides the creation of high-quality technical content specifically tailored for developers. It covers the entire devrel content lifecycle: from researching topic validation (community signals, competitor gaps) to selecting the ideal content type (tutorial, guide, case study). The framework emphasizes deep technical accuracy, structured outlines (Hook, Meat, CTA), and writing runnable, copy-paste ready code examples to build trust and drive adoption.

This tool orchestrates the end-to-end process of building a brand-new feature. It automates the entire lifecycle, including initial research, planning, Test-Driven Development (TDD) implementation, code review, and gated commit. Use this when adding a capability that does not currently exist in the system.

This engine serves as a shared, comprehensive orchestration layer for the entire development lifecycle (orch-* skills). It defines a rigorous, gated pipeline—including Research, Plan, TDD Implementation, Review, and Commit—ensuring consistency regardless of the specific operation (e.g., feature addition, defect fixing). It also includes a size classifier to accurately scope the required effort and gates for mandatory human review.

Provides a structured, multi-step workflow for addressing and fixing GitHub issues. This skill guides the user through the entire development lifecycle: understanding the bug, researching context, planning changes, implementing code, rigorous testing, and finally submitting a polished Pull Request using GitHub CLI commands.

This guide provides a comprehensive project management framework for submitting research to the AAAI conference. It maps out every critical milestone, from initial topic selection and abstract submission, through the two-phase peer review, writing the rebuttal, and preparing the final camera-ready version and public artifacts. It emphasizes backward planning from hard deadlines and maintaining evidence integrity throughout the rigorous academic lifecycle.

This system acts as an orchestrator for a three-tier model team (Advisor, Workers). It is designed for complex, large-scale tasks that exceed the capability of a single model pass, requiring decomposition, parallelization, and mandatory verification loops. Use cases include researching multiple competitors, executing multi-stage plans, or managing iterative development cycles involving different specialized AI agents.

This skill acts as a comprehensive workflow router for manuscripts targeting the American Economic Journal: Macroeconomics (AEJ: Macro). It guides the researcher through the entire publication lifecycle—from initial topic selection and literature positioning, through rigorous quantitative modeling (DSGE, SVAR), empirical identification, writing, to final submission and rebuttal strategy. It ensures the final paper meets the high standards of modern macroeconomics research.

This skill acts as a workflow router, guiding researchers through the entire manuscript lifecycle for submissions to American Economic Journal: Microeconomics (AEJ: Micro). It does not write the paper, but diagnoses the current bottleneck—whether it's topic selection, model refinement, empirical testing, or rebuttal strategy—and specifies which specialized aejmic-* sub-skill to invoke next, ensuring the paper aligns with the specific requirements of AEJ: Micro. Triggered when users are unsure what step to take next, or when revising based on reviewer comments.

This tool acts as an orchestrator for academic manuscripts intended for the American Educational Research Journal (AERJ). It guides users through the entire writing lifecycle, determining the correct next step based on the current development stage and the paper's dominant education-research lens (e.g., policy, teaching, development). It is designed to ensure the contribution is pitched to the whole field, not just a subfield.

An essential orchestrator for authors submitting manuscripts to Agricultural Systems. This tool guides users through the entire academic writing lifecycle, helping them determine the appropriate article type (e.g., Review, Perspective) and ensuring the core research question addresses true systems complexity, interactions, and trade-offs, rather than single-factor trials. It maps the manuscript stage to the necessary sub-skills.

This is the comprehensive orchestrator for submitting manuscripts to the American Journal of Political Science (AJPS). It guides users through the entire academic writing lifecycle, helping them determine the correct submission type (Article, Research Note, Correspondence) and ensuring critical steps, such as mandatory third-party code verification, are integrated from the start. It dispatches to specific sub-skills rather than drafting content.

This skill serves as the central workflow router for manuscripts submitted to the American Journal of Sociology (AJS). It guides authors through the entire academic lifecycle, from initial topic selection and theoretical framing to research design, data analysis, and final submission/rebuttal. It helps authors determine the appropriate next step based on the manuscript type (research article, comment, reply) and current stage, ensuring the work meets AJS's high standard for theoretical ambition and sociological dialogue.