smart-fetch
Fetch web pages for LLM use with markdown-first negotiation, strict output limits, cache/revalidation, and robust.
Best use case
smart-fetch is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Fetch web pages for LLM use with markdown-first negotiation, strict output limits, cache/revalidation, and robust.
Teams using smart-fetch should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/smart-fetch/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How smart-fetch Compares
| Feature / Agent | smart-fetch | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Fetch web pages for LLM use with markdown-first negotiation, strict output limits, cache/revalidation, and robust.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# smart-fetch Fetch web pages for LLM use with markdown-first negotiation, strict output limits, cache/revalidation, and robust. ## Install ``` npx clawhub@latest install smart-fetch ```
Related Skills
url-fetcher
Simple web content fetching without API keys or external dependencies.
smart-context
Token-efficient agent behavior — response sizing, context pruning, tool efficiency, and delegation.
markdown-fetch
Optimizes web fetching by using Cloudflare's Markdown for Agents, reducing token consumption by ~80%.
x-tweet-fetcher
Fetch tweets from X/Twitter without login or API keys.
feishu_file_fetch
Implements a Clawdbot extension tool that downloads Feishu files by message_id and file_key, streams to disk with sha256, size limits, and path traversal protection. Use when the user asks to build or update the feishu_file_fetch tool, Feishu file download workflow, or Clawdbot extension handling message_id/file_key inputs.
telegram-smart-launcher
Enhance Telegram replies with context-aware dynamic CTA buttons (Smart Launcher UI). Use when replying to users on Telegram to provide relevant, time-sensitive, and task-oriented options for better interaction.
smart-spawn
Pick the best AI model for any task using the Smart Spawn API.
scrapling-fetcher
Web scraping using Scrapling — a Python framework with anti-bot bypass (Cloudflare Turnstile, fingerprint.
smart-spawn-api
Pick the best AI model for any task using the Smart Spawn API.
smart-contract-audit
Audit and analyze Solidity smart contracts for security vulnerabilities.
smart-home-energy-saver
Analyze home energy usage and propose safe, read-only automation plans for savings.
smart-router
Expertise-aware model router with semantic domain scoring, context-overflow protection, and security redaction. Automatically selects the optimal AI model using weighted expertise scoring (Feb 2026 benchmarks). Supports Claude, GPT, Gemini, Grok with automatic fallback chains, HITL gates, and cost optimization.