Model Usage

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.

slides-generation-skills

AI-powered presentation generation using 2slides API. Create slides from text content, match reference image styles, or summarize documents into presentations. Use when users request to "create a presentation", "make slides", "generate a deck", "create slides from this content/document/image", or any presentation creation task. Supports theme selection, multiple languages, and both synchronous and asynchronous generation modes.

Summarize

Summarize URLs or files with the summarize CLI (web, PDFs, images, audio, YouTube). And also 50+ models for image generation, video generation, text-to-speec...

Kagi Summarizer

Summarize any URL or text using Kagi's Universal Summarizer API. Supports multiple engines (including the enterprise-grade Muriel model), bullet-point takeaw...

Smart Model Switching

Auto-route tasks to the cheapest Claude model that works correctly. Three-tier progression: Haiku → Sonnet → Opus. Classify before responding. HAIKU (default): factual Q&A, greetings, reminders, status checks, lookups, simple file ops, heartbeats, casual chat, 1-2 sentence tasks. ESCALATE TO SONNET: code >10 lines, analysis, comparisons, planning, reports, multi-step reasoning, tables, long writing >3 paragraphs, summarization, research synthesis, most user conversations. ESCALATE TO OPUS: archi

Academic Paper Summarizer

Academic paper summarization with dynamic SOP selection based on paper topic classification. Supports method, dataset, multimodal, and other paper types with...

wikipedia-oc

searches, retrieves, and summarizes content from English Wikipedia using the `wikipedia` Python module. Developed under Ubuntu. The developer would appreciat...

Reddit Explore

This skill should be used when the user asks to "search Reddit", "explore Reddit posts", "find Reddit discussions about", "summarize Reddit opinions on", "what does Reddit think about", or wants to gather and summarize community opinions from Reddit on a specific topic.

opus

Auto-route tasks to the cheapest Claude model that works correctly. Three-tier progression: Haiku → Sonnet → Opus. Classify before responding. HAIKU (default): factual Q&A, greetings, reminders, status checks, lookups, simple file ops, heartbeats, casual chat, 1-2 sentence tasks. ESCALATE TO SONNET: code >10 lines, analysis, comparisons, planning, reports, multi-step reasoning, tables, long writing >3 paragraphs, summarization, research synthesis, most user conversations. ESCALATE TO OPUS: archi

Arxiv Summarizer Orchestrator

Orchestrates end-to-end arXiv paper retrieval, processing, and batch reporting with language control and parallel or serial paper handling modes.

summarize

Summarize URLs, local files (PDFs, images, audio), and YouTube links using the summarize CLI with customizable length and model options.

JT Meeting Summary

Pure prompt guidance for generating faithful meeting and call summaries. Use when the model should summarize transcripts into meeting minutes, concise summar...