Loading...
Loading...
Found 174 Skills
Build and run evaluators for AI/LLM applications using Phoenix.
Create sophisticated, Apple-inspired web interfaces with refined aesthetics and corporate elegance. Emphasizes generous whitespace, ultra-precise typography, asymmetric layouts, and purposeful interactions. Combines minimalist design philosophy with premium brand execution. Use when building premium landing pages, marketing sections, product showcases, or corporate interfaces that demand visual sophistication beyond standard business UI.
Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, review experiments, and inspect datasets. Use when debugging AI/LLM applications, analyzing trace data, working with Phoenix observability, or investigating LLM performance issues.
Create effective summaries by matching summarization type to purpose, audience, and context. Use when asked to summarize, create TLDR, condense content, or create executive summaries. Keywords: summary, TLDR, condense, executive summary, abstract.
Aggregates and summarizes the latest AI news from multiple sources including AI news websites and web search. Provides concise news briefs with direct links to original articles. Activates when user asks for 'today's AI news', 'AI updates', 'latest AI developments', or mentions wanting a 'daily AI briefing'.
Combines search results from multiple sources into coherent, deduplicated answers with source attribution. Handles confidence scoring based on freshness and authority, and summarizes large result sets effectively.
Aggregates and summarizes recent updates from a predefined list of RSS feeds. Use when the user asks for "recent updates", "what's new", or "RSS updates" within a specific timeframe.
Use when debates are trapped in false dichotomies, polarized positions need charitable interpretation, tradeoffs are obscured by binary framing, synthesis beyond 'pick one side' is needed, or when users mention steelman arguments, thesis-antithesis-synthesis, Hegelian dialectic, third way solutions, or resolving seemingly opposed principles.
Get transcripts from any YouTube video — for summarization, research, translation, quoting, or content analysis. Use when the user shares a video link or asks "what did they say", "get the transcript", "transcribe this video", "summarize this video", or wants to analyze spoken content.
Robust URL-to-Markdown extraction for OpenClaw workflows. Use this when the user needs to "extract/summarize/convert a webpage to Markdown" (especially for WeChat official accounts at mp.weixin.qq.com) and web_fetch or browser access is blocked or returns messy content. It first uses a low-cost probe via web_fetch, then falls back to the official MinerU API (through the local mineru-extract skill), and returns a traceable result contract with source links.
Preserve critical session state when compacting context. Use when context window is filling up and you need to summarize/reduce while keeping essential debugging information.
Use this when you are working on file operations like reading, writing, scanning, or deleting files. It summarizes the preferred file APIs and patterns used in this repo. It also notes when to use filesystem helpers for directories.