Discover and install skills to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
git-forensics Lingjie-chen/MT5 分析 Git 历史,发现"逻辑耦合"(总一起改的文件)和"热点"(高频修改的复杂模块)。基于 Adam Tornhill 的《Your Code as a Crime Scene》方法论。 | Skills | 65 Impact Pending Average score across 0 eval scenarios Reviewed: Version: 3069d33 |
freshservice-automation Lingjie-chen/MT5 Automate Freshservice ITSM tasks via Rube MCP (Composio): create/update tickets, bulk operations, service requests, and outbound emails. Always search tools first for current schemas. | Skills | 75 1.43x Agent success vs baseline Impact 92% 1.43xAverage score across 3 eval scenarios Reviewed: Version: 3069d33 |
freshdesk-automation Lingjie-chen/MT5 Automate Freshdesk helpdesk operations including tickets, contacts, companies, notes, and replies via Rube MCP (Composio). Always search tools first for current schemas. | Skills | 78 1.41x Agent success vs baseline Impact 82% 1.41xAverage score across 3 eval scenarios Reviewed: Version: 3069d33 |
file-organizer Lingjie-chen/MT5 Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort. | Skills | 54 1.03x Agent success vs baseline Impact 98% 1.03xAverage score across 3 eval scenarios Reviewed: Version: 3069d33 |
figma-automation Lingjie-chen/MT5 Automate Figma tasks via Rube MCP (Composio): files, components, design tokens, comments, exports. Always search tools first for current schemas. | Skills | 75 2.34x Agent success vs baseline Impact 96% 2.34xAverage score across 3 eval scenarios Reviewed: Version: 3069d33 |
dropbox-automation Lingjie-chen/MT5 Automate Dropbox file management, sharing, search, uploads, downloads, and folder operations via Rube MCP (Composio). Always search tools first for current schemas. | Skills | 74 1.51x Agent success vs baseline Impact 94% 1.51xAverage score across 3 eval scenarios Reviewed: Version: 3069d33 |
domain-name-brainstormer Lingjie-chen/MT5 Generates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking. | Skills | 56 1.05x Agent success vs baseline Impact 99% 1.05xAverage score across 3 eval scenarios Reviewed: Version: 3069d33 |
docx Lingjie-chen/MT5 Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks | Skills | 87 1.62x Agent success vs baseline Impact 91% 1.62xAverage score across 3 eval scenarios Reviewed: Version: 3069d33 |
docusign-automation Lingjie-chen/MT5 Automate DocuSign tasks via Rube MCP (Composio): templates, envelopes, signatures, document management. Always search tools first for current schemas. | Skills | 65 2.00x Agent success vs baseline Impact 88% 2.00xAverage score across 3 eval scenarios Reviewed: Version: 3069d33 |
discord-automation Lingjie-chen/MT5 Automate Discord tasks via Rube MCP (Composio): messages, channels, roles, webhooks, reactions. Always search tools first for current schemas. | Skills | 74 1.85x Agent success vs baseline Impact 89% 1.85xAverage score across 3 eval scenarios Reviewed: Version: 3069d33 |
developer-growth-analysis Lingjie-chen/MT5 Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs. | Skills | 60 Impact Pending Average score across 0 eval scenarios Reviewed: Version: 3069d33 |
deep-research Lingjie-chen/MT5 量化交易市场深度研究工具。支持宏观经济分析、技术面研究、资产相关性分析和市场微观结构研究。当需要进行深度市场调研、分析经济数据影响或研究新交易品种时使用此 Skill。 | Skills | 67 Impact Pending Average score across 0 eval scenarios Reviewed: Version: 3069d33 |
datadog-automation Lingjie-chen/MT5 Automate Datadog tasks via Rube MCP (Composio): query metrics, search logs, manage monitors/dashboards, create events and downtimes. Always search tools first for current schemas. | Skills | 69 1.28x Agent success vs baseline Impact 89% 1.28xAverage score across 3 eval scenarios Reviewed: Version: 3069d33 |
csv-data-summarizer Lingjie-chen/MT5 交易日志 CSV 数据分析工具。自动分析交易记录 CSV 文件,计算胜率、盈亏比、最大回撤、Sharpe Ratio 等量化指标并生成可视化报告。当需要分析交易绩效、优化策略参数或生成交易报告时使用此 Skill。 | Skills | 74 1.20x Agent success vs baseline Impact 94% 1.20xAverage score across 3 eval scenarios Reviewed: Version: 3069d33 |
convertkit-automation Lingjie-chen/MT5 Automate ConvertKit (Kit) tasks via Rube MCP (Composio): manage subscribers, tags, broadcasts, and broadcast stats. Always search tools first for current schemas. | Skills | 73 1.16x Agent success vs baseline Impact 83% 1.16xAverage score across 3 eval scenarios Reviewed: Version: 3069d33 |
content-research-writer Lingjie-chen/MT5 Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership. | Skills | 68 1.44x Agent success vs baseline Impact 98% 1.44xAverage score across 6 eval scenarios Reviewed: Version: 3069d33 |
connect-apps-plugin Lingjie-chen/MT5 Composio Claude Agents SDK - 全局外部应用连接插件 | Skills | 58 3.33x Agent success vs baseline Impact 100% 3.33xAverage score across 3 eval scenarios Reviewed: Version: 3069d33 |
confluence-automation Lingjie-chen/MT5 Automate Confluence page creation, content search, space management, labels, and hierarchy navigation via Rube MCP (Composio). Always search tools first for current schemas. | Skills | 74 1.73x Agent success vs baseline Impact 90% 1.73xAverage score across 3 eval scenarios Reviewed: Version: 3069d33 |
concept-modeler Lingjie-chen/MT5 从模糊的用户需求中提取领域概念——实体、流程和"暗物质"(用户没说的)。基于 DDD(领域驱动设计)方法论。 | Skills | 69 1.23x Agent success vs baseline Impact 80% 1.23xAverage score across 3 eval scenarios Reviewed: Version: 3069d33 |
complexity-guard Lingjie-chen/MT5 The final gatekeeper. Audits RFCs to reject over-engineering, unnecessary dependencies, and resume-driven development. | Skills | 76 1.17x Agent success vs baseline Impact 100% 1.17xAverage score across 3 eval scenarios Reviewed: Version: 3069d33 |
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