youtube-shorts-research

YouTube SERP Scout for agents. Search top-ranking videos, channels, and trends for content research and competitor tracking.

YouTube Search API via AIsa unified endpoint. Search YouTube videos, channels, and playlists with a single AIsa API key — no Google API key or OAuth required. Use this skill when users want to search YouTube content. For other AIsa capabilities (LLM, financial data, Twitter, web search), see the aisa-core skill.

Automatically improve OpenClaw skills, prompts, or articles through iterative mutation-testing loops. Inspired by Karpathy's autoresearch. Use when user says 'optimize [skill]', 'autoresearch [skill]', 'improve my skill', 'optimize this prompt', 'improve my prompt', 'polish this article', 'improve this article', or explicitly requests quality improvement for any text-based content. Supports three modes: skill (SKILL.md files), prompt (any prompt text), and article (any document).

Research trending topics, ideas, and conversations on X (Twitter) using twitterapi.io.

Comprehensive token research for EVM chains (Base, ETH, Arbitrum) and Solana. Use this skill when you want to research crypto tokens, deep-dive projects or monitor tokens.

Run a second-hop deep research pass through the Tavily CLI after an initial scan, then normalize the result into a local `research.md` contract. Use when Codex needs cited follow-up research for a chosen topic from `news-collect`, or wants a reusable research report saved into `content-production/inbox/`.

Conduct comprehensive AI-powered research with citations via the Tavily CLI. Use this skill when the user wants deep research, a detailed report, a comparison, market analysis, literature review, or says "research", "investigate", "analyze in depth", "compare X vs Y", "what does the market look like for", or needs multi-source synthesis with explicit citations. Returns a structured report grounded in web sources. Takes 30-120 seconds. For quick fact-finding, use tavily-search instead.

生成全球开票系统的国家调研报告，输出结构化的 .docx 文档，同时服务产品经理、研发、售前三类角色。 当用户提到以下任意场景时，务必使用本 Skill： - "调研 XX 国家的开票/发票/电子发票要求" - "我要做全球开票系统，帮我调研某个国家" - "帮我生成 XX 国家的开票调研报告" - "开票合规调研"、"e-invoicing research"、"VAT invoice research" - 用户提到 KSeF、Peppol、CFDI、NF-e、GST 等具体的国家电子发票标准 即使用户没有明确说"生成报告"，只要涉及对某个国家的开票要求进行结构化调研，就应使用本 Skill。

Find brands actively spending on influencer and creator campaigns. Scans trade press, Instagram, job boards, and news for active-spender signals, then outputs a scored, prioritized prospect list with contacts. Use when you need to find brands to pitch, identify active advertisers, build a prospect list, research which brands are hiring influencer marketers, or find companies launching creator campaigns. Triggers on: 'find brands to pitch,' 'prospect list,' 'who's spending on influencers,' 'brand prospects,' 'active advertisers,' 'campaign activity,' or any request to identify brands actively investing in creator/influencer marketing.

Extract transcript from a YouTube video using Python and summarize it.

Generates complete two-sample Mendelian randomization (MR) research designs from a user-provided research direction. Use when users want to design, plan, or build a study using two-sample MR to test causal relationships. Triggers: "design a two-sample MR study", "build a publishable MR paper", "test whether this biomarker causally affects this disease", "generate Lite/Standard/Advanced MR plans", "screen multiple exposures with MR", "bidirectional MR design", "causal inference using GWAS summary statistics", or "I want to study X and Y using MR". Always outputs four workload configurations (Lite / Standard / Advanced / Publication+) with a recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version, and publication upgrade path.

Generates complete network toxicology + molecular docking research designs from a user-provided toxicant and disease/phenotype. Always use this skill when users want to investigate how an environmental toxicant, endocrine disruptor, heavy metal, food contaminant, pharmaceutical residue, or consumer product chemical may contribute to a disease through shared molecular targets, hub genes, pathways, and docking evidence. Trigger for: "network toxicology study", "toxicology mechanism paper", "target prediction + PPI + docking", "environmental pollutant and disease mechanism", "hub genes and docking for toxicant", "Lite/Standard/Advanced toxicology plan", "CTD + SwissTargetPrediction + GeneCards + STRING", "CB-Dock2 docking study", "triclosan/BPA/cadmium/PFAS + disease". Also triggers for Chinese phrasings: "网络毒理学研究设计"、"毒物机制论文"、"靶点预测+PPI+对接"、"环境污染物与疾病机制". Trigger even for casual phrasings like "I want to study how chemical X affects disease Y" or "help me design a toxicology paper". Always output four workload configurations (Lite / Standard / Advanced / Publication+) with a recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version, and publication upgrade path.