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agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

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wos-literature-crawler

从 Web of Science 检索学术文献。当用户需要文献综述数据、论文搜索、研究方向的文献收集时使用。接收 search.json 配置文件，执行 WoS 爬虫搜索，输出临时审核表和导入日志。支持关键词搜索、年份过滤、去重、相关性排序、缺失字段补全。调用 scripts/search_wos.py 执行搜索，scripts/import_review_table.py 导入到主表。当用户提到"文献抓取"、"WoS检索"、"论文搜索"、"综述文献"、"文献库更新"等时触发。

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india-cold-email

Use this skill for all Thyleads outbound work — drafting B2B cold email campaigns aimed at Indian buyers (D2C founders, growth/marketing/product/HR leaders at Indian SaaS, BFSI, EdTech, Health, Travel, MarTech, HRTech, Series A and Series B companies). India-only geography by design. Triggers include any mention of Indian outbound, India SDR campaign, Smartlead campaign for India, cold emails to Indian companies, campaigns targeting India D2C/Ecom/Fintech/MarTech/HRTech ICP, account scoring or lead scoring for Indian B2B, persona-tailored subject lines for Indian CXOs, ICP refinement from campaign reply data, intent signal scoring (hiring, funding, leadership change, growth, expansion, employee count change), behavioral signals (page changes, pricing updates, careers page deltas), competitive intelligence as buying-window indicator, per-lead signal graph as the unified intelligence layer, signal-to-insight engine with the four-stage pipeline (Signal Collection → Signal Selection → Insight Generation → Email Writing), the deterministic signal selection formula, the signal-to-angle library, timing-aware scoring tied to the Indian fiscal calendar, observation diversity and the three-axis observation model (company-level, lead-level, activity-level), self-learning outbound loops, decisions on which tool to use when (Apollo vs Crustdata vs Coresignal vs Tavily vs Visualping), site-targeted Tavily queries for Indian press and conferences, cold-start campaigns where no TAL or account list exists, building target account lists from scratch, finding decision-makers via Apollo + Sales Nav + Coresignal, contact enrichment waterfalls (Apollo → Hunter → LeadMagic → ZeroBounce), or any task involving the Thyleads Dashboard as the orchestration layer. Produces emails that follow India outbound conventions (subject lines that include the prospect's first name and feel like internal-team communication, attention-catching plain-language first sentences with no marketing jargon, observation-based openers across three axes — company-level / lead-level / activity-level — with batch-level diversity enforcement and signal-graph-driven hook selection via the angle library, 5th-grade reading level English with banned corporate-vocabulary list, conversational warmth and empathy markers tuned for Indian buyer register, average 10-12 word sentences with no US-style staccato, generous mobile-first whitespace with 4-6 paragraphs of 1-3 sentences each, 80-130 word bodies for body 1, three-step sequences with axis rotation, social proof from the seller's roster, generous peer-tone CTAs not vendor imperatives, prose constrained by structured insight briefs not free-form drafting), strict prospect-list exclusions including holding-company sister-brand expansion, a five-layer account scoring model (Fit + Intent + Engagement + Why-Now + Timing/Penalty multipliers) tuned per Thyleads product line (Seed-Series A, Series B, MarTech, HRTech), per-client behavioral watcher infrastructure for prospect and competitor page changes, a per-lead signal graph that consolidates Apollo + Tavily + Coresignal + Crustdata + behavioral signals into one weighted view, tool-intelligence decision trees that pick the minimum tool set per task based on project documents, and a closing-the-loop self-learning system that refines ICP, scoring weights, observation angles, observation axes per persona, signal-to-angle mappings, and subject patterns from each campaign's tagged replies.

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