--- name: kagi-summarizer-7925618a867f description: Summarize any URL or text using Kagi's Universal Summarizer API. Supports multiple engines (including the enterprise-grade Muriel model), bullet-point takeaways, and output translation to 28 languages. Use when you need a high-quality summary of an article, paper, video transcript, or any document. --- # Kagi Universal Summarizer Summarize any URL or block of text using [Kagi's Universal Summarizer API](https://help.kagi.com/kagi/api/summarizer.html). Handles articles, papers, PDFs, video transcripts, forum threads, and more. Supports multiple summarization engines and can translate output to 28 languages. This skill uses a Go binary for fast startup and zero runtime dependencies. The binary can be downloaded pre-built or compiled from source. ## Setup Requires a Kagi account with API access enabled. Uses the same `KAGI_API_KEY` as all other kagi-* skills. 1. Create an account at https://kagi.com/signup 2. Navigate to Settings → Advanced → API portal: https://kagi.com/settings/api 3. Generate an API Token 4. Add funds at: https://kagi.com/settings/billing_api 5. Add to your shell profile (`~/.profile` or `~/.zprofile`): ```bash export KAGI_API_KEY="your-api-key-here" ``` 6. Install the binary — see [Installation](#installation) below ## Pricing Token-based, billed per 1,000 tokens processed. Cached requests are free. | Plan | Price per 1k tokens | |------|---------------------| | Standard (Cecil / Agnes) | **$0.030** | | Kagi Ultimate subscribers | **$0.025** (automatically applied) | | Muriel (enterprise-grade) | higher — check [API pricing page](https://kagi.com/settings?p=api) | ## Usage ```bash # Summarize a URL {baseDir}/kagi-summarizer.sh https://example.com/article # Summarize raw text {baseDir}/kagi-summarizer.sh --text "Paste your article text here..." # Pipe text from stdin cat paper.txt | {baseDir}/kagi-summarizer echo "Long text..." | {baseDir}/kagi-summarizer.sh --type takeaway # Choose engine {baseDir}/kagi-summarizer.sh https://arxiv.org/abs/1706.03762 --engine muriel # Get bullet-point takeaways instead of prose {baseDir}/kagi-summarizer.sh https://example.com/article --type takeaway # Translate summary to another language {baseDir}/kagi-summarizer.sh https://example.com/article --lang DE {baseDir}/kagi-summarizer.sh https://example.com/article --lang JA # JSON output {baseDir}/kagi-summarizer.sh https://example.com/article --json # Combined options {baseDir}/kagi-summarizer.sh https://arxiv.org/abs/1706.03762 --engine muriel --type takeaway --lang EN --json ``` ### Options | Flag | Description | |------|-------------| | `--text ` | Summarize raw text instead of a URL | | `--engine ` | Summarization engine (see below, default: `cecil`) | | `--type ` | Output type: `summary` (prose) or `takeaway` (bullets) | | `--lang ` | Translate output to a language code (e.g. `EN`, `DE`, `FR`, `JA`) | | `--json` | Emit JSON output | | `--no-cache` | Bypass cached responses | | `--timeout ` | HTTP timeout in seconds (default: 120) | ### Engines | Engine | Description | |--------|-------------| | `cecil` | Friendly, descriptive, fast summary **(default)** | | `agnes` | Formal, technical, analytical summary | | `muriel` | Best-in-class, enterprise-grade model — highest quality, slower | ### Language Codes Common codes: `EN` English · `DE` German · `FR` French · `ES` Spanish · `IT` Italian · `PT` Portuguese · `JA` Japanese · `KO` Korean · `ZH` Chinese (simplified) · `ZH-HANT` Chinese (traditional) · `RU` Russian · `AR` Arabic Full list: BG CS DA DE EL EN ES ET FI FR HU ID IT JA KO LT LV NB NL PL PT RO RU SK SL SV TR UK ZH ZH-HANT If no language is specified, the output language follows the document's own language. ## Output ### Default (text) Prints the summary to stdout. Token usage and API balance are printed to stderr: ``` The paper "Attention Is All You Need" introduces the Transformer architecture, a novel approach to sequence transduction tasks that relies entirely on attention mechanisms, dispensing with recurrence and convolutions... [API Balance: $9.9800 | tokens: 1243] ``` ### JSON (`--json`) ```json { "input": "https://arxiv.org/abs/1706.03762", "output": "The paper introduces the Transformer...", "tokens": 1243, "engine": "muriel", "type": "takeaway", "meta": { "id": "abc123", "node": "us-east", "ms": 4821, "api_balance": 9.98 } } ``` ## When to Use - **Use kagi-summarizer** when you have a URL or document and need a concise summary without reading it yourself - **Use `--type takeaway`** for structured bullet points — ideal for research papers, long articles, or meeting notes - **Use `--engine muriel`** when quality matters most (longer documents, academic papers, technical reports) - **Use `--lang`** when you need the summary in a language different from the source - **Use kagi-fastgpt** instead when you have a question that requires synthesizing information from multiple sources via live web search - **Use kagi-search** instead when you need raw search results to scan or compare ## Installation ### Option A — Download pre-built binary (no Go required) ```bash OS=$(uname -s | tr '[:upper:]' '[:lower:]') ARCH=$(uname -m) case "$ARCH" in x86_64) ARCH="amd64" ;; aarch64|arm64) ARCH="arm64" ;; esac TAG=$(curl -fsSL "https://api.github.com/repos/joelazar/kagi-skills/releases/latest" | grep '"tag_name"' | cut -d'"' -f4) BINARY="kagi-summarizer_${TAG}_${OS}_${ARCH}" mkdir -p {baseDir}/.bin curl -fsSL "https://github.com/joelazar/kagi-skills/releases/download/${TAG}/${BINARY}" \ -o {baseDir}/.bin/kagi-summarizer chmod +x {baseDir}/.bin/kagi-summarizer # Verify checksum (recommended) curl -fsSL "https://github.com/joelazar/kagi-skills/releases/download/${TAG}/checksums.txt" | \ grep "${BINARY}" | sha256sum --check ``` Pre-built binaries are available for Linux and macOS (amd64 + arm64) and Windows (amd64). ### Option B — Build from source (requires Go 1.26+) ```bash cd {baseDir} && go build -o .bin/kagi-summarizer . ``` Alternatively, just run `{baseDir}/kagi-summarizer.sh` directly — the wrapper auto-builds on first run if Go is available. The binary has no external dependencies — only the Go standard library. --- Source attribution: modbender Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/kagi-summarizer/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2025 skill-library-mcp contributors Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: modbender Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/kagi-summarizer/SKILL.md Attribution basis: Source repository record Fields of work: Education & Research, Marketing Roles: Content Marketer, Marketing Analyst, Researcher Specialties: API Tools: Kagi Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 6417381cadaca3b5f322de154968d6c4fda9b6f0fcc550b351c26e7a25e92c57