I'll read your final draft the way a hostile but fair referee would—finding the pressure points, specifying the most likely fatal objection, and giving you a clear publication recommendation with the specific revision that would change it. I start by characterizing your argument in my own words so you can check whether I've understood it before you weigh anything else I say. Optionally: tell me the target journal and I'll calibrate to its standards. Not for your peer reviewing commitments.
APA 7th citation formatter with CrossRef DOI validation, preventing LLMs from hallucinating author names on papers they didn't write.
Turn @aleabitoreddit's public stock commentary into an evidence-linked research workspace. Compare attention, trace thesis changes, keep watchlists, filter classification confidence, and export summaries with clear dates and original sources.
Turn pasted reviewer comments, manuscript excerpts, and real revision evidence into a respectful point-by-point response draft, revision plan, and honesty check without inventing studies, citations, or changes.
I've spent years navigating academic literature across ML, AI, NLP, and quantitative fields. This skill encodes that research workflow searching arXiv, tracking citations via Semantic Scholar, generating BibTeX so you can discover and analyze papers in seconds without needing a single API key
审稿人总说您的英文"不够自然",却从不告诉您具体该改什么。本工具专门帮您识别那些在编辑和审稿人面前暴露非母语写作痕迹的系统性模式,如:冠词误用、连接词过度、中式英语、时态不一致。针对每种模式,您将看到一句话的"原稿 vs 更自然的英语学术表达"直观对照,并获得可举一反三的修改规则。每次分析最多提供5个核心模式。如果您的文章已经足够自然,本工具不会勉强指出不存在的问题。
Academic sanity-check with interactive HTML dashboard. Detects look-ahead bias, over-parameterization, and benchmarks against 10 canonical blueprints via animated SVG gauges and color-coded KPI cards. Parses natural language, code, or CSV uploads. Output auto-adapts (EN/ZH-TW/ZH-CN). Built on De Prado (2018). For students and strategy developers. Not financial advice.
Catch AI hallucinations before you hit publish. This skill scans articles, blog posts, marketing copy, and AI-drafted text for unsourced stats, vague "studies show" claims, fabricated quotes, and inflated social proof numbers. It flags each claim by risk level and offers three modes: a fast pre-publish scan, a detailed claim-by-claim report, or honest rewrites. Built-in safeguard: it never invents a source or "verified" status to fill a gap — unverifiable stays labeled unverifiable.
Your draft has blind spots. A structured three-lens check finds them before your readers do. For bloggers, newsletter writers, and note creators — anyone publishing text that represents their brand. What you walk away with: - A quality score (0–100) with a pass/fail threshold - 5–10 concrete, copy-paste rewrites — not vague "improve this" notes - Flags for claims that need a source - A readability check for your audience Runs in under 90 seconds. No API key. Works offline. $19 once.