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Found 160 Skills
Convert Markdown documents into beautiful, comfortable, well-structured, directly openable HTML long-form reports. Suitable for converting .md files to HTML, standardizing the layout of research/industry/survey documents, generating single-file web reports for offline sharing, embedding or verifying local images, fixing misaligned columns caused by Markdown table separators, or optimizing reading margins, image presentation, directory navigation, table responsiveness, and print styles of existing HTML reports.
Generate weekly reports, monthly reports, quarterly reports, and year-end summaries. This Skill is to be used when users mention terms such as "weekly report", "monthly report", "quarterly report", "year-end summary", "annual summary", "weekly report", "monthly report", "quarterly report", "annual summary", "yearly review", or when they need to generate various work reports.
Deep Research Skill - Multi-source investigation across X (Twitter), the Web, and academic papers using team agents. Utilize this skill when users request deep research, comprehensive investigation, multi-perspective analysis, or hypothesis development on any topic. It is triggered by phrases such as "deep research", "investigate thoroughly", "research across sources", "ディープリサーチ", or requests for fact-based analysis with original hypotheses. It conducts a 6-phase research process: needs analysis, X preliminary research, parallel web deep-dive (3 agents), information integration, hypothesis construction, and final report delivery.
Generate custom reports, query reports, and script reports for Frappe applications. Use when creating data analysis and reporting features.
One-click comprehensive analysis of cryptocurrencies. Collect data from five dimensions - price, news sentiment, sector comparison, market environment, and project fundamentals - through parallel sub-agents, and output an HTML report (including 24-hour market trends and 7-day trends) after cross-analysis. Trigger phrases: Analyze BTC, analyze ETH, How is Bitcoin?, Is SOL worth buying?
Fact-checks LLM responses by extracting verifiable claims, verifying each via web search, producing an audit report with verdicts, and optionally revising inaccurate responses. Use when the user asks to audit, fact-check, double-check, or verify a response.
Global Comprehensive Stock Analysis Tool. Supports all markets covered by Eastmoney, including A-shares, Hong Kong stocks, US stocks, etc. Based on the stock name or code entered by users, it obtains stock information from Eastmoney.com, conducts three-dimensional analysis of fundamentals, news, and capital flows, and provides investment suggestions, buy prices and sell prices. Trigger keywords: analyze stocks, stock recommendations, stock entry and exit points, stock research, A-share analysis, Hong Kong stock analysis, US stock analysis, Chinese concept stocks, Hang Seng Index, Nasdaq, S&P 500, Dow Jones, Tencent, Alibaba, Apple AAPL, Tesla TSLA, NVIDIA NVDA, Micron MU, etc.
This skill should be used when the user asks to "audit this codebase", "audit this code", "security audit", "code audit", "find vulnerabilities", "check for bugs", "review code quality", "find dead code", "check for anti-patterns", "performance audit", "check for code smells", "technical debt", or "code health check".
Guide for conducting thorough, multi-source research and producing comprehensive, well-sourced reports. Powered by AnyCap -- the capability runtime that equips AI agents with web search (including AI Grounded citations), web crawl, image generation, cloud storage, and one-click web publishing through a single CLI. Use when the user asks for deep research, competitive analysis, market research, technical deep dive, literature review, technology comparison, or any task requiring multi-source information gathering and synthesis. Also use when users say "investigate", "survey the landscape", "compare X vs Y", "state of the art", "write a report on", "look into", "find out about", "analyze the market", or any inquiry that needs more than a single search. Trigger on mentions of research, analysis, investigation, comparison, report, survey, or deep dive.
Execute deep research on every item in a research outline, producing structured JSON per item and a final markdown report. Use after running /research to generate an outline. Reads outline.yaml and fields.yaml, launches parallel research agents in batches, validates output, generates a consolidated report, and supports resume on interruption. Trigger when the user says "start deep research", "research these items", "run the deep phase", "fill in the fields for each item", or "generate the research report".
Generate a reusable structured achievement description based on the day's work content, summary or git changes, which can be directly used for daily work reports, git commit message or git PR message
Carbone integration. Manage data, records, and automate workflows. Use when the user wants to interact with Carbone data.