Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Summarize any URL or text using Kagi's Universal Summarizer API. Supports multiple engines (including the enterprise-grade Muriel model), bullet-point takeaw...
Summarize any URL or text using Kagi's Universal Summarizer API. Supports multiple engines (including the enterprise-grade Muriel model), bullet-point takeaw...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Summarize any URL or block of text using Kagi's Universal Summarizer API. 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.
Requires a Kagi account with API access enabled. Uses the same KAGI_API_KEY as all other kagi-* skills. Create an account at https://kagi.com/signup Navigate to Settings โ Advanced โ API portal: https://kagi.com/settings/api Generate an API Token Add funds at: https://kagi.com/settings/billing_api Add to your shell profile (~/.profile or ~/.zprofile): export KAGI_API_KEY="your-api-key-here" Install the binary โ see Installation below
Token-based, billed per 1,000 tokens processed. Cached requests are free. PlanPrice per 1k tokensStandard (Cecil / Agnes)$0.030Kagi Ultimate subscribers$0.025 (automatically applied)Muriel (enterprise-grade)higher โ check API pricing page
# 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
FlagDescription--text <text>Summarize raw text instead of a URL--engine <name>Summarization engine (see below, default: cecil)--type <type>Output type: summary (prose) or takeaway (bullets)--lang <code>Translate output to a language code (e.g. EN, DE, FR, JA)--jsonEmit JSON output--no-cacheBypass cached responses--timeout <sec>HTTP timeout in seconds (default: 120)
EngineDescriptioncecilFriendly, descriptive, fast summary (default)agnesFormal, technical, analytical summarymurielBest-in-class, enterprise-grade model โ highest quality, slower
Common codes: EN English ยท DE German ยท FR French ยท ES Spanish ยท IT Italian ยท PT Portuguese ยท JA Japanese ยท KO Korean ยท ZH Chinese (simplified) ยท ZH-HANT Chinese (traditional) ยท RU Russian ยท 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.
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: $9.9800 | tokens: 1243]
{ "input": "https://arxiv.org/abs/1706.03762", "output": "The paper introduces the Transformer...", "tokens": 1243, "engine": "muriel", "type": "takeaway", "meta": { "id": "abc123", "node": "us-east", "ms": 4821, "api_balance": 9.98 } }
Use kagi-summarizer when you have a URL or document and need a concise summary without reading it yourself Use --type takeaway for structured bullet points โ ideal for research papers, long articles, or meeting notes Use --engine muriel when quality matters most (longer documents, academic papers, technical reports) Use --lang when you need the summary in a language different from the source Use kagi-fastgpt instead when you have a question that requires synthesizing information from multiple sources via live web search Use kagi-search instead when you need raw search results to scan or compare
OS=$(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).
cd {baseDir} && go build -o .bin/kagi-summarizer . Alternatively, just run {baseDir}/kagi-summarizer.sh directly โ the wrapper auto-builds on first run if Go is available. The binary has no external dependencies โ only the Go standard library.
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