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.

video-transcript

Use when video content needs to be extracted as text: pasted YouTube links or IDs, requests to transcribe, summarize, quote, translate, convert video to text...

Openclaw Context Optimizer

Intelligently compresses and optimizes context to reduce token usage by 40-60%, using deduplication, pruning, summarization, and adaptive learning.

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.

china-summarizer

中文内容智能总结工具。Summarize local files (TXT/MD/PDF/Word), web pages, news articles, or WeChat articles. No login, no API key required. 内容总结、文章提炼。

LiteBrowse

Extracts and summarizes the most relevant webpage passages for focused, low-token research without loading or summarizing the full page.

transcript

Use when the spoken content of a YouTube video is needed — even if not explicitly requested: pasted video links or IDs, requests to summarize, quote, transcr...

Agent-Skills-for-Context-Engineering

This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentions context compression, structured summarization, tokens-per-task optimization, or long-running agent sessions exceeding context limits.

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

X Followings Digest

Auto-fetch latest tweets from your X/Twitter followings and generate structured AI digest. Supports custom time ranges: 1 day, 3 days, 7 days, or custom. 自动抓取X/Twitter关注列表的最新推文，并使用AI分析师提示词生成结构化日报。支持自定义时间段：1天、3天、7天或自定义天数。 **Trigger Words:** - "summarize my followings", "X digest", "Twitter summary", "tweets from last 3 days", "weekly summary" **触发词：** - "总结关注列表", "X日报", "Twitter摘要", "过去3天的推文", "一周摘要" **Prerequisites:** X auth via AUTH_TOKEN & CT0 env vars

Ultrahuman (OpenClaw)

Fetch and summarize Ultrahuman Ring/CGM metrics inside OpenClaw using the Ultrahuman MCP server (via mcporter). Use when the user asks about Ultrahuman data such as sleep score, total sleep, sleep stages, HR/HRV/RHR, steps, recovery index, movement index, VO2 max, or wants a daily/weekly Ultrahuman summary.

stock screener

Intellectia stock/crypto screener for Bullish/Bearish Tomorrow/Week/Month presets. Calls /gateway/v1/stock/screener-list (no auth) and summarizes results.

Openclaw Token Memory Optimizer

Optimization suite for OpenClaw agents to prevent token leaks and context bloat. Use when an agent needs to implement background task isolation (Cron) or a Reset & Summarize workflow (RAG).

NEXUS Summarize

Summarize long documents while preserving key info

⁠X Reader⁠

Read and summarize X/Twitter links with low-token routing. Use when a user shares an x.com/twitter.com/t.co link or asks to read, summarize, extract, or insp...

custom-youtube-summarize

Extract transcript from a YouTube video using Python and summarize it.