Skill UI

Guides an agent to critically review a written implementation plan, execute every outlined step with required verifications, and hand off completion via finishing-a-development-branch procedures, ensuring blockers prompt clarification.

This skill guides the user through a structured process of requirement clarification before any development work begins. It ensures that all key details—including objectives, scope, constraints, and acceptance criteria—are explicitly defined. It prevents costly rework by forcing a pause and systematically identifying 'must-have' missing information.

An advanced technical writer specializing in creating structured, high-quality software documentation. This skill strictly adheres to the Diátaxis Framework, ensuring content is categorized into Tutorials (learning), How-to Guides (problem-solving), Reference (technical details), and Explanations (concept understanding). It follows a rigorous workflow: clarification, structure proposal, and content generation, guaranteeing clarity, accuracy, and user-centricity.

Interactive workflow that uses the joyride_request_human_input tool to probe scope, deliverables, and constraints before executing any task, ensuring thorough clarification and structured planning.

idea-os is a comprehensive, five-phase pipeline designed to transform a raw, abstract idea into a fully structured, build-ready plan. It guides users through Triage, Clarification, Deep Research, detailed PRD creation (including non-goals and metrics), and finally, a phased execution plan. The system adapts its complexity and vocabulary to the user's sophistication level, providing everything from foundational market analysis to actionable technical stack recommendations.

This skill addresses vague or ambiguous user requests by initiating a structured, multi-round questioning process. Instead of making assumptions, it systematically clarifies dimensions like audience, scope, tone, and format across several rounds (up to three). This structured approach ensures the resulting output is highly accurate and requires minimal revision cycles.

This meta-skill is designed to orchestrate the creation of complex, multi-step workflows (meta-skills). It should only be used when a user explicitly requests combining, synthesizing, or proposing a new skill that coordinates multiple existing functions. The process includes intent clarification, trigger collision checking, validation, and generating a detailed proposal containing the workflow DAG.

This skill transforms vague, unclear, or half-formed business opportunities and brief descriptions into highly structured, actionable problem statements. It guides the user through a three-stage process: reframing the core questions, rigorously defining in-scope and out-of-scope boundaries, and designing a minimum viable research plan. It ensures that ambiguous inputs are converted into clear, executable steps, allowing the user to respond with confidence rather than asking for more clarification meetings.

A comprehensive protocol for authors addressing major referee objections in theoretical econometrics papers. This guide teaches systematic revision techniques, including how to categorize critiques (fundamental gaps, clarifications, disagreements), structure the mathematical proofs, and write a rigorous, point-by-point rebuttal letter. It ensures the response is mathematically precise and academically sound.

A comprehensive guide for crafting academic rebuttals in response to peer reviews (e.g., ICALP). It teaches authors how to strategically address correctness doubts, correct factual misreadings, provide necessary clarifications, and honestly concede genuine gaps, all while adhering to strict double-blind rules and limited word counts. The focus is strictly on technical precision, helping authors improve their paper's acceptance chances.

A comprehensive guide for authors responding to journal reviewers' reports (e.g., JACS). It details how to systematically triage comments into data-required, clarification, or disagreement; how to structure a professional, point-by-point response letter; and how to maintain scientific rigor when performing necessary experiments.

A comprehensive protocol for authors handling Revise and Resubmit (R&R) or major revisions for methods papers in high-impact statistical journals. This guide structures the revision process, emphasizing how to prioritize feedback based on the handling Co-Editor's letter, classify comments (fundamental, clarification, disagreement), and draft a professional, point-by-point response letter. It ensures the manuscript updates precede the response, maintaining a gracious and concrete tone.