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Found 304 Skills
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.
Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain, or analyze an AI research paper.
Choose the right MoE token dispatcher (`alltoall`, DeepEP, or HybridEP) for the hardware, EP degree, and optimization stage. Summarizes patterns from DSV3, Qwen3, Qwen3-Next, and VLM bring-up work.
AI-powered search that aggregates and summarizes results from multiple sources including web, X/Twitter, Reddit, Hacker News, YouTube, ArXiv, and Wikipedia. Use this when you need a synthesized answer or curated links from across the internet and social platforms.
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
Generate high-quality Markdown documents such as weekly reports, work reports, summaries, and introductions. When no draft is provided, search and summarize from the Web; when a draft is provided, organize, polish, and supplement based on the draft. Use this when the user mentions weekly reports, work reports, summaries, introductions, debriefings, or reviews.
Content Analyzer — any content (URL, text, transcript) into structured analysis report with actionable insights. Use when user asks to analyze, summarize, or extract key takeaways from content.
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.
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.
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.
Generate bug triage prep notes from One Horizon bug data. Use when asked "prepare bug triage", "summarize open bugs", or "prioritize defects for review". Requires One Horizon MCP.
Inspect GitHub PR checks with gh, pull failing GitHub Actions logs, summarize failure context, then create a fix plan and implement after user approval. Use when a user asks to debug or fix failing PR CI/CD checks on GitHub Actions and wants a plan + code changes; for external checks (e.g., Buildkite), only report the details URL and mark them out of scope.