Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Ask questions and get AI-synthesized answers backed by live web search, via Kagi's FastGPT API. Returns a direct answer with cited references. Use when you n...
Ask questions and get AI-synthesized answers backed by live web search, via Kagi's FastGPT API. Returns a direct answer with cited references. Use when you n...
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.
Get AI-generated answers with cited web sources using Kagi's FastGPT API. FastGPT runs a full web search under the hood and synthesizes results into a concise answer โ ideal for factual questions, API lookups, and current-events queries. This skill uses a Go binary for fast startup and no 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 the kagi-search skill. 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
1.5ยข per query ($15 USD per 1000 queries). Cached responses are free.
{baseDir}/kagi-fastgpt.sh "query" # Ask a question (default) {baseDir}/kagi-fastgpt.sh "query" --json # JSON output {baseDir}/kagi-fastgpt.sh "query" --no-refs # Answer only, no references {baseDir}/kagi-fastgpt.sh "query" --no-cache # Bypass response cache {baseDir}/kagi-fastgpt.sh "query" --timeout 60 # Custom timeout (default: 30s)
FlagDescription--jsonEmit JSON output (see below)--no-refsSuppress references in text output--no-cacheBypass cached responses (use for time-sensitive queries)--timeout <sec>HTTP timeout in seconds (default: 30)
Prints the synthesized answer, followed by a numbered reference list: Python 3.11 was released on October 24, 2022 and introduced several improvements... --- References --- [1] What's New In Python 3.11 โ Python 3.11.3 documentation https://docs.python.org/3/whatsnew/3.11.html The headline changes in Python 3.11 include significant performance improvements... [2] ... Token usage and API balance are printed to stderr.
Returns a JSON object with: query โ the original query output โ the synthesized answer tokens โ tokens consumed references[] โ array of { title, url, snippet } objects meta โ API metadata (id, node, ms)
Use kagi-fastgpt when you need a direct answer synthesized from web sources (e.g. "What version of X was released last month?", "How do I configure Y?") Use kagi-search when you need raw search results to scan, compare, or extract data from yourself Use web-browser when you need to interact with a page or the content is behind JavaScript
OS=$(uname -s | tr '[:upper:]' '[:lower:]') ARCH=$(uname -m) case "$ARCH" in x86_64) ARCH="amd64" ;; aarch64|arm64) ARCH="arm64" ;; esac TAG=$(curl -fsSL "https://api.github.com/repos/joelazar/kagi-skills/releases/latest" | grep '"tag_name"' | cut -d'"' -f4) BINARY="kagi-fastgpt_${TAG}_${OS}_${ARCH}" mkdir -p {baseDir}/.bin curl -fsSL "https://github.com/joelazar/kagi-skills/releases/download/${TAG}/${BINARY}" \ -o {baseDir}/.bin/kagi-fastgpt chmod +x {baseDir}/.bin/kagi-fastgpt # 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-fastgpt . Alternatively, just run {baseDir}/kagi-fastgpt.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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