Skill UI

A sophisticated writing editor designed to remove tell-tale signs of AI-generated text. This tool helps transform overly polished, robotic, or academic prose into natural, human-sounding writing. It detects and corrects patterns such as inflated symbolism, passive voice, vague attributions, and repetitive LLM structures, while also calibrating the output to match an author's specific voice and tone. Ideal for content review, editing, and improving natural communication flow.

An insightful guide detailing the patterns observed in a long-term, deep partnership between an AI and a principal engineer. It covers critical soft skills for high-energy creative work, such as building trust through honesty, matching rapid pace, providing constructive disagreement, and supporting human ownership of breakthroughs. Ideal for professionals who need to collaborate with highly capable, fast-moving human partners or build advanced AI systems that mirror nuanced human interaction.

A structured system designed to extract the cognitive fingerprint of any text's author. Utilizing the DHDNA framework, it analyzes 12 dimensions—such as Analytical Depth, Emotional Processing, and Strategic Thinking—to provide deep insights into the author's unique reasoning patterns, decision-making style, and overall cognitive signature. Ideal for content analysis, psychological profiling, and understanding underlying thought processes.

A structured method for transforming experience (especially failures and complex tasks) into actionable, reusable knowledge. Instead of simple diary entries, this skill guides the user to extract root causes, identify underlying patterns, and articulate what they must do differently next time, thereby accelerating professional learning and debugging efficiency.

A comprehensive guide for authors preparing a rebuttal response for major academic conferences (like CCS). It teaches strategic communication, focusing on triaging decision-critical issues (threat model, ethics, novelty), structuring arguments by conceding strong points, anchoring claims to existing evidence, and avoiding over-promising. Essential for authors facing adversarial review patterns.

This guide teaches how to elevate descriptive linguistic data (such as glossed patterns or corpus trends) into robust, theoretically grounded claims. It outlines the necessary structure for presenting an argument with explicit assumptions, testable predictions, and critical engagement with competing theoretical frameworks, moving beyond mere description to achieve genuine theoretical depth.

This guide provides a comprehensive understanding of how top-tier academic journals, like Social Psychology Quarterly, evaluate manuscripts. It covers critical areas such as maintaining proper author blinding, ensuring the paper fits within specific theoretical traditions (e.g., sociological social psychology), and understanding the decision patterns (reject, revise, accept). Use this to pre-empt failure modes and strategically shape your research paper for optimal chances of publication.