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Found 20 Skills
Performs security-focused differential review of code changes (PRs, commits, diffs). Adapts analysis depth to codebase size, uses git history for context, calculates blast radius, checks test coverage, and generates comprehensive markdown reports. Automatically detects and prevents security regressions.
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.
This skill retrieves upcoming earnings announcements for US stocks using the Financial Modeling Prep (FMP) API. Use this when the user requests earnings calendar data, wants to know which companies are reporting earnings in the upcoming week, or needs a weekly earnings review. The skill focuses on mid-cap and above companies (over $2B market cap) that have significant market impact, organizing the data by date and timing in a clean markdown table format. Supports multiple environments (CLI, Desktop, Web) with flexible API key management.
Use when user wants work review or work summary. Triggers on「工作回顾」「日报」「周报」「worklog」「今天做了什么」「本周总结」.
Maintain `*-skills` README standards and checklist-style roadmap docs through one canonical maintenance entrypoint. Use when a repo needs profile-aware README maintenance, checklist roadmap validation or migration, or a bounded audit-first doc workflow with Markdown and JSON reporting.
Automatically summarize the daily top news from multiple news websites using browser automation to access and read news content. Applicable for tasks such as user requests like "Summarize today's news", "Get today's top news", "Generate news summary"; or user questions like "What are the important news today?" and "Help me check today's headlines on news websites". Supports Chinese news websites (Sina, NetEase, Tencent, etc.) and international news websites (BBC, Reuters, etc.), generating detailed summary reports in Markdown format.
Reporting pipelines for CSV/JSON/Markdown exports with timestamped outputs, summaries, and post-processing.
Based on the content of NSFC proposal text and combined with the application code recommendation library, provide you with 5 sets of recommended primary/secondary application codes (Code 1/Code 2) with justifications; output to NSFC-CODE-vYYYYMMDDHHmm.md (read-only, no modification to the proposal)
Local code review tool for self-inspection before git push. Triggered when users request phrases like "review my code", "check code changes", "review this commit", "review this", "code review", "git review", "help me check my code". Supports reviewing unstaged, staged uncommitted, and committed unpushed changes, and outputs a Markdown review report with scores.
Conduct a full-dimensional in-depth analysis of Amazon competitor Listings, including copywriting logic, review analysis, keyword analysis, market dynamics, etc. Automatically save the analysis as a Markdown report to the reports/ directory. Trigger this when the user uses the /amazon-analyse command with a product ASIN.
Deep dive into a book. Collect information from six dimensions including chapter structure, background key points, problem impacts, solutions, term index, and further reading through parallel sub-agents, then output a Markdown deep learning note after cross-analysis. Trigger words: Analyze the book XX, Study XX, Reading notes for XX, book analysis.
Analyze the source code of GitHub open-source repositories and generate structured analysis reports. Supports generating reports such as project architecture overview, code quality analysis, core module description, etc., and optional synchronization to Notion.