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Found 102 Skills
NLP Cloud integration. Manage data, records, and automate workflows. Use when the user wants to interact with NLP Cloud data.
Query Chrome browsing history with natural language. Filter by date range, article type, keywords, and specific sites.
Resolves a PostHog experiment reference from natural language to a concrete experiment ID by browsing `experiment-list` (not feature-flag tools), with disambiguation when multiple experiments match. Use when the user names or quotes an experiment ("split test demo", "the File engagement boost experiment", "onboarding retention test", "landing page hero experiment", "pricing experiment"), describes it loosely ("the signup experiment", "my pricing test", "the one with the new checkout"), uses a relative reference ("latest", "most recent", "the one I created yesterday"), filters by status (running, draft, stopped, archived), or otherwise refers to an experiment by anything other than its concrete ID.
Search ClinicalTrials.gov with natural language queries. Find clinical trials, enrollment, and outcomes using Valyu semantic search.
Stock Screener - Screen all market stocks based on conditions to identify targets that match your strategy
Search for places using natural language with Camino AI's location intelligence API. Returns relevant results with coordinates, distances, and metadata. Use when you need to find real-world locations like restaurants, shops, landmarks, or any point of interest.
Matches natural language task descriptions to appropriate skills using semantic similarity. Handles fuzzy matching, intent extraction, and capability alignment. Activate on 'find skill', 'match task', 'semantic search', 'skill lookup', 'what skill for'. NOT for ranking matches (use dag-capability-ranker) or skill catalog (use dag-skill-registry).
Example skill demonstrating the Skills-as-Containers pattern with workflows, assets, and natural language routing. This is a teaching tool showing the complete PAI v1.2.0 architecture. USE WHEN user says 'show me an example', 'demonstrate the pattern', 'how do skills work', 'example skill'
Convert natural language queries to SQL. Use for database queries, data analysis, and reporting.
Python-based PPT editor with style presets, natural language animation support, and style extraction from PPT/PDF. Use when users need to "edit existing PPT", "modify slide", "add animation to PPT", "apply promotion style", "extract style from PPT/PDF", "提取样式", "编辑PPT", "修改第X页", "添加动画", "应用晋升风格", or want to maintain consistent styling across PPT slides. Supports editing specific pages, applying theme presets (promotion/tech), extracting styles from existing documents, and adding animations via natural language descriptions.
Build and open FinViz screener URLs from natural language requests. Use when user wants to screen stocks, find stocks matching criteria, filter by fundamentals or technicals, or asks to open FinViz with specific conditions. Supports both Japanese and English input (e.g., "高配当で成長している小型株を探したい", "Find oversold large caps with high ROE").
This skill guides the agent in identifying and replacing AI model-specific cliches and formulaic expressions with more natural, human-like language, grounded in external search for better alternatives.