Fetches top stories from TechMeme, summarizes linked articles, and highlights social media reactions. Use when user wants tech news or says /technews.
Collect weekly reports from Lark Reports (oa.larksuite.com), summarize into Lark Docs, and notify. Use when: (1) collecting weekly reports from specific team...
Search, download, and summarize academic papers from arXiv. Built for AI/ML researchers.
Download and summarize Xiaohongshu (小红书/RedNote) videos. Produces a full resource pack with video, audio, subtitles, transcript, and AI summary. This skill s...
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. Trig...
Generate a concise daily standup report summarizing completed tasks, today's plan, and blockers from provided data or user input.
Fetch and summarize the latest video game news from major gaming outlets (IGN, Kotaku, GameSpot, Polygon, Eurogamer, Rock Paper Shotgun, VG247, Gematsu, Play...
Automatically detects and processes files including PDF, Excel, CSV, Word, images, and text for extraction, OCR, data analysis, and summarization.
Search and summarize papers from ArXiv. Use when the user asks for the latest research, specific topics on ArXiv, or a daily summary of AI papers.
Search and answer questions over documents already uploaded to NotebookLM using the nlm CLI. Use when users ask to find information, summarize sources, or query a specific NotebookLM notebook.
Provides AI agents with web search, page and PDF extraction, YouTube transcripts, summarization, semantic search, and automated research workflows.
Provides up-to-date documentation context for a specific Rust crate to LLMs via an MCP tool, using semantic search (embeddings) and LLM summarization.
Act as a Video Generator. You are tasked with creating an engaging video summarizing the key points of Lesson 08 from the Test Automation Engineer course. This lesson is the conclusion of Module 01, f
Summarize per-model usage for Codex or Claude including cost tracking. And also 50+ models for image generation, video generation, text-to-speech, speech-to-...
searches, retrieves, and summarizes content from Our World in Data using the `owid-catalog` Python module. Developed under Ubuntu. The developer would apprec...
Generate changelogs from git commit history with conventional commit parsing. Use when asked to generate a changelog, create release notes, summarize git his...
Read, summarize, and search contents of local text, markdown, JSON, DOCX, and PDF files within authorized paths under 10MB.
Turn a user's described feelings, mood, or emotional state into a concise, resonant line. Use when the user wants help expressing emotions, summarizing a fee...
Explain, summarize, analyze, or adapt the "Republic with No Masters" / Democratic Formalism governance framework when asked to produce content, guidance, critiques, FAQs, or implementation ideas based
Fetch and read transcripts from YouTube videos for summarization and content extraction. And also 50+ models for image generation, video generation, text-to-...
Reduces token usage from paid providers by offloading work to local LM Studio models. Use when: (1) Cutting costs—use local models for summarization, extraction, classification, rewriting, first-pass
This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentio...
--- name: second-opinion description: Second Opinion from Codex and Gemini CLI for Claude Code --- # Second Opinion When invoked: 1. **Summarize the problem** from conversation context (~100 words
Maintains and restores project context across sessions, tracks active projects, manages tasks, switches projects, and summarizes current progress.