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.

Offload Tasks to LM Studio Models

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 review, brainstorming when quality suffices, (2) Avoiding paid API calls for high-volume or repetitive tasks, (3) No extra model configuration—JIT loading and REST API work with existing LM Studio setup, (4) Local-only or privacy-sensitive work. Requires LM Studio 0.4+ with server (default :1234). N

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...

wikipedia-oc

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

Our world in data

searches, retrieves, and summarizes content from Our World in Data using the `owid-catalog` Python module. Developed under Ubuntu. The developer would apprec...

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...

Slides/PPT generation and voice narration

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.

Context Gatekeeper

Keeps the conversation token-friendly by summarizing recent exchanges, surfacing pending actions, and delivering a compact briefing for each turn before calling the model. Trigger this skill whenever you need to prune a bloated thread or keep the next prompt lean.

Fabric Bridge

Run Fabric AI patterns for text transformation, analysis, and content creation. Use when the user asks to use a Fabric pattern, extract wisdom, analyze claims, improve writing, summarize with Fabric, or mentions 'fabric' CLI. Supports 242+ patterns for tasks like content analysis, writing improvement, code review, threat modeling, and structured extraction.

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.

Smart Model Routing for Z.AI

Auto-route tasks to the cheapest z.ai (GLM) model that works correctly. Three-tier progression: Flash → Standard → Plus/32B. Classify before responding. FLASH (default): factual Q&A, greetings, reminders, status checks, lookups, simple file ops, heartbeats, casual chat, 1–2 sentence tasks, cron jobs. ESCALATE TO STANDARD: code >10 lines, analysis, comparisons, planning, reports, multi-step reasoning, tables, long writing >3 paragraphs, summarization, research synthesis, most user conversations.

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.

Arxiv Summarizer Orchestrator

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

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

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...