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Found 850 Skills
This skill should be used when the user asks to "test my site", "test the site", "run site tests", "check if site is working", "verify site", "smoke test", "test pages", "check api calls", "test web api", "verify deployment works", or wants to test a deployed, activated Power Pages site at runtime using browser-based navigation, page crawling, and API request verification.
Look up phone number information (carrier, type, caller name) and verify users via SMS/voice OTP. Use for phone verification and data enrichment. This skill provides REST API (curl) examples.
A specialized skill for generating high-quality illustrations for academic papers, supporting two output formats: (1) LaTeX/TikZ code: Suitable for structured diagrams such as system architecture diagrams, data flow diagrams, and geometric schematic diagrams, which can be directly embedded into papers; (2) draw.io XML: Suitable for highly decorative diagrams such as technical roadmaps, scientific research display diagrams, and academic presentation illustrations, supporting gradient colors, shadows, and free layout, which can be opened and edited at app.diagrams.net. Supports the above two output formats with a unified workflow: Analyze input (copy/image/paper) → Drawing instructions → Code generation → Compilation verification → Full-score delivery. It automatically identifies the field of the paper and designs illustrations as an expert in that field. Use when the user asks to: 画论文图、画架构图、画流程图、画示意图、 LaTeX画图、TikZ画图、论文配图、生成画图指令、复刻图片、 画图代码、学术论文图、画系统架构、画协议流程、论文插图、tikz diagram、 latex figure、根据论文画图、画个图、帮我画图、生成tikz、论文tikz、 根据文案画图、照着图片画、复刻这张图、技术路线图、科研架构图、 学术汇报图、drawio、draw.io、路线图、研究框架图、技术方案图。
Alibaba Cloud OSS scheduled local-folder sync skill using aliyun CLI, including integrated ossutil commands for incremental upload. Use when the user wants to schedule recurring local-to-OSS uploads, validate OSS backup prerequisites, set up cron or Task Scheduler for OSS sync, or clearly separate what stays on aliyun CLI from what remains OS-local or manual. Conditional write operations: creates the target bucket (PutBucket) only when the user confirms the bucket does not exist yet; optionally deletes test objects (DeleteObject) only when the user explicitly requests cleanup after verification. Triggers: "OSS scheduled sync", "定时同步到OSS", "aliyun ossutil cp --max-age", "aliyun ossutil cp -u", "cron upload to OSS", "Task Scheduler OSS upload", "aliyun CLI OSS sync", "本地目录增量上传 OSS".
Use when you have an approved implementation plan document and need to execute it step by step. Triggers on /execute command, when transitioning from planning with an approved plan, or when resuming execution of a partially completed plan. Provides batch-based execution with TDD, checkpoint reviews, and verification gates.
Build backend APIs for Chrome extensions. NestJS + MongoDB (Mongoose) recommended stack. Auth, webhooks, license verification, CORS. Use when: backend, API, server, database, license, webhook.
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Real-time web search and page reading using Aliyun IQS APIs. Use this skill FIRST when the user needs current information, news, facts verification, URL content extraction, or any web-based research. This skill provides structured search results with source links, markdown-formatted content extraction, and supports various search engines including real-time news search and deep research modes.
Reference skill for Zoom webhooks. Use after routing to an event-driven workflow when implementing subscriptions, signature verification, delivery handling, retries, or event-type selection.
Fetches live AI crypto trading signals with entry price, stop-loss, take-profit, leverage, confidence scores, and automated verification. Covers 50+ coins including BTC, ETH, SOL. Use when the user asks for crypto signals, trade ideas, market direction, portfolio analysis, or wants to build a trading bot.
Explore-lane experimental execution skill for deep learning research repositories. Use when the researcher explicitly authorizes exploratory runs such as small-subset validation, short-cycle guess-and-check, batch sweeps, idle-GPU search, or quick transfer-learning trials, with results summarized in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline execution, conservative training verification, default routing, or implicit experimentation.
Use when starting new feature work to create isolated git worktrees with smart directory selection and safety verification. Keeps main branch clean while developing.