12,196 skills found · Page 143 of 407
brycewang-stanford / data-docDocument datasets, variables, sources, and merge keys for replication
brycewang-stanford / cost-benefitCost-benefit analysis. Produces economic NPV and financial NPV side by side, with BCR, optimism bias (with mitigation), Marginal Excess Tax Burden, real-terms rebasing, WELLBY / QALY / VPF wellbeing valuation, sensitivity, switching values, EANC for unequal-life options, validation gate, and a one-l…
brycewang-stanford / econ-reviewer经济学顶刊标准审稿Skill。按AER/QJE/Econometrica/JPE顶刊标准审查论文输出(图表+回归表),列出潜在致命缺陷。触发词:顶刊审稿/论文审查/econ reviewer/经济学期刊标准/PR
brycewang-stanford / China-CF-Study根据研究者提供的**研究计划书(Research Proposal)**执行基于中国制度环境的公司金融类实证研究全流程。**启动后第一件事:根据计划书的主题、识别策略、贡献边际与样本范围,从中国-context 英文顶级期刊池(JF/JFE/RFS/JFQA/MS/JCF/JBF/JAR/JAE/TAR/CAR/JIBS/China Economic Review/PBFJ 等 25+ 期刊)中推荐 5 本最匹配的目标期刊([J1]–[J5]),等待研究者明确选定一本;该期刊决定 main.tex 的 bibliographystyle、Section 骨架、Introduction 风格与表…
brycewang-stanford / Foreign-CF-Study根据研究者提供的**研究计划书(Research Proposal)**执行基于**外国(美国/欧盟/英国/日本/跨国)制度环境**的公司金融类实证研究全流程。**启动后第一件事:根据计划书的主题、识别策略、贡献边际与样本范围,从外国 CF 顶刊池(AER/QJE/JPE/JF/JFE/RFS/JFQA/JAR/JAE/MS/JCF/JBF 等 25+ 期刊)中推荐 5 本最匹配的目标期刊([J1]–[J5]),等待研究者明确选定一本;该期刊决定 main.tex 的 bibliographystyle、Section 骨架、Introduction 风格与表注规范**。然后用 Python…
brycewang-stanford / Significance-SearchParallel control variable combination search via Stata. Exhaustively searches all subsets of optional controls to find the combination that maximises |t| of the independent variable. Activates when user says: "控制变量搜索", "搜控制变量", "control variable search", "跑控制变量组合", "暴力搜索", "调控制变量".
brycewang-stanford / humanizer_academicRemove signs of AI-generated writing from academic medical papers
brycewang-stanford / structural-modelingThis skill covers structural econometric models
brycewang-stanford / workflows:workExecute research implementation plans efficiently while maintaining estimation quality and finishing features
brycewang-stanford / split-pdfDownload, split, and deeply read academic PDFs
brycewang-stanford / hypothesis-generationStructured hypothesis formulation from observations
brycewang-stanford / lit-reviewSummarize academic papers, extract key findings, and identify research gaps
brycewang-stanford / referee-responseStructure responses to referee reports for R&R submissions
brycewang-stanford / robustnessChecklist of empirical robustness tests for finance/economics papers
brycewang-stanford / web-researchSearches multiple web sources, synthesizes findings, and produces cited research reports using delegated subagents
brycewang-stanford / workflows:ideateDivergent research ideation — generate many candidate directions, then adversarially filter to the strongest
brycewang-stanford / newprojectScaffold a new research project with standard directory structure, CLAUDE.md template, and documented README. Use this at the start of every new project to ensure consistent organization.
brycewang-stanford / grillme苏格拉底诘问式研究选题Skill。通过连续追问帮你厘清研究思路、聚焦研究子领域、明确研究问题(RQ),识别出未被研究过的新意选题。触发词:帮我选题/研究问题不清晰/想做一个有新意的论文/不断问我问题/厘清思路
jordan-gibbs / deep-researchDeep research with hyperresearch, for Claude Code and OpenAI Codex
SamurAIGPT / muapi-seedance-2Expert Cinema Director skill for Seedance 2.0 (ByteDance) — high-fidelity video generation across Chinese, Global, and VIP tiers. Supports text-to-video, image-to-video, first-last-frame, omni reference, character training, omni-reference training, video editing, and watermark removal.
SamurAIGPT / muapi-workflowBuild, run, and visualize multi-step AI generation workflows. The AI architect translates natural language descriptions into connected node graphs — chain image generation, video creation, enhancement, and editing into automated pipelines.
SamurAIGPT / muapi-ai-clippingTurn a long video into N viral-ready short clips with a single managed API call. Wraps muapi.ai's `/ai-clipping` endpoint, which handles transcription, highlight ranking through a virality framework (hook / emotional peak / opinion bomb / revelation / conflict / quotable / story peak / practical val…
SamurAIGPT / muapi-social-media-videoBrand-aware social media video creator. Reads brand-identity.md, ICP.md, and messaging.md to write a post/storyboard, craft an optimized Seedance 2.0 Director prompt, generate reference frames with the best available image model, and produce platform-ready video.
SamurAIGPT / muapi-ugc-video-factoryTurn a person photo + a product photo + an optional script into a vertical 9:16 UGC-style video ad. Generates a lifestyle hero image (Nano-Banana Pro Edit), then animates it with native audio using Seedance 2.0 VIP image-to-video.
SamurAIGPT / muapi-storyboard-to-cooking-videoTurn a single photo of a person into a 15-second cinematic pasta-making (or other cuisine) tutorial video. First builds a composite reference sheet (character + kitchen + 9-step action board), then animates the full cooking sequence with audio in a single continuous shot.
SamurAIGPT / muapi-youtube-shortsAuto-generate viral 9:16 YouTube Shorts (or TikTok / Reels clips) from a long-form video. Thin platform-aware wrapper around the AI Clipping skill — picks sensible defaults for short-form social platforms (9:16, 30–60s sweet spot) and delegates the actual highlight extraction + crop to muapi.ai's `/…
SamurAIGPT / muapi-ai-fight-sceneGenerate a high-cut-density action / fight scene by first composing a 16-cell storyboard image, then driving Seedance 2.0 image-to-video off that storyboard. Stacks GPT-Image-2 (character sheet + storyboard), Nano-Banana-2 (environment concept), and Seedance 2.0 i2v.
SamurAIGPT / muapi-cinema-directorDirect high-fidelity cinematic video with AI — translates creative intent into technical cinematographic directives for Veo3, Kling, and Luma video models via muapi.ai
SamurAIGPT / muapi-logo-creatorEngineer professional-grade brand logos using geometric primitives and negative space — generates minimalist, scalable vector-style marks via muapi.ai
SamurAIGPT / muapi-nano-bananaReasoning-driven image generation using structured creative briefs (Gemini 3 style) — generates high-fidelity images via muapi.ai with logic-based prompting