发现最适合你需求的 AI 技能
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Academic writing assistance skill for paragraph writing, language polishing, grammar checking, academic style optimization, and citation format checking.
# Role
Search academic papers and conduct literature reviews using OpenAlex API (free, no key needed). Use when the user needs to find scholarly papers by topic/author/DOI, explore citation chains, get structured paper metadata (title, authors, abstract, citations, DOI, open access URL), fetch full text of open access papers, or conduct automated literature reviews with theme identification and synthesis. Triggers on requests involving academic search, paper lookup, citation analysis, literature review
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Compress academic abstracts to meet strict word limits while preserving
Lade den Abfallkalender fuer den Landkreis Ravensburg ueber die offizielle Athos-Webseite herunter. Verwende diesen Skill, wenn du fuer Orte wie Ravensburg, Weingarten, Wangen im Allgaeu usw. anhand von Ort, Strasse und Hausnummer einen PDF- oder ICS-Abfallkalender holen sollst.
Apply abductive reasoning to infer the best explanation from available observations. Use when the user has symptoms, clues, or data points and needs to reason backward to the most likely cause — like diagnostic thinking for doctors, detectives, or debugging.
Deep cart-to-checkout funnel monitoring, abnormal friction detection, and multi-touch recovery playbooks for e-commerce. Use this skill whenever the user mentions abandoned carts, checkout drop-off, low checkout conversion (under ~2%), why no orders, no sales, cart not converting, customers leaving at payment, shipping shock, high shipping cost by region, payment failed, gateway errors, high-AOV items stuck in cart without purchase, or wants recovery emails / win-back sequences for checkout leav
多智能体自动化系统，用于AI Agent技能样本采集、安全扫描、威胁情报收集和研究分析。支持单机多进程架构，可自动采集样本、检测恶意技能、提取IOC、更新规则。触发命令: /aagent start
Calculate ROI for AI-as-a-Service (managed AI agents). Estimates cost savings, efficiency gains, and payback period for deploying AI agents across business operations. Use when evaluating whether managed AI agents make financial sense for a company.
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
