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Xcrawl Map

Organization
xcrawl-api
xcrawl-map

Use this skill for XCrawl map tasks, including site URL discovery, regex filtering, scope estimation, and crawl planning before full-site crawling.

Overview

Publisherxcrawl-api
Repositoryxcrawl-skills
Skill namexcrawl-map
Stars
450
Forks
43
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by xcrawl-api on GitHub. Read the source before you install it.

Installation

Install the Xcrawl Map AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/xcrawl-api/xcrawl-skills/tree/main/skills/xcrawl-map
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/xcrawl-api/xcrawl-skills.git /tmp/xcrawl-skills
mkdir -p .claude/skills
cp -r /tmp/xcrawl-skills/skills/xcrawl-map .claude/skills/xcrawl-map
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Xcrawl Map in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Xcrawl Map on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Xcrawl Map is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

XCrawl Map

Overview

This skill uses XCrawl Map API to discover URLs for a site. Default behavior is raw passthrough: return upstream API response bodies as-is.

Required Local Config

Before using this skill, the user must create a local config file and write XCRAWL_API_KEY into it.

Path: ~/.xcrawl/config.json

json
{
  "XCRAWL_API_KEY": "<your_api_key>"
}

Read API key from local config file only. Do not require global environment variables.

Credits and Account Setup

Using XCrawl APIs consumes credits. If the user does not have an account or available credits, guide them to register at https://dash.xcrawl.com/. After registration, they can activate the free 1000 credits plan before running requests.

Tool Permission Policy

Request runtime permissions for curl and node only. Do not request Python, shell helper scripts, or other runtime permissions.

API Surface

  • Start map task: POST /v1/map
  • Base URL: https://run.xcrawl.com
  • Required header: Authorization: Bearer <XCRAWL_API_KEY>

Usage Examples

cURL

bash
API_KEY="$(node -e "const fs=require('fs');const p=process.env.HOME+'/.xcrawl/config.json';const k=JSON.parse(fs.readFileSync(p,'utf8')).XCRAWL_API_KEY||'';process.stdout.write(k)")"

curl -sS -X POST "https://run.xcrawl.com/v1/map" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer ${API_KEY}" \
  -d '{"url":"https://example.com","filter":"/docs/.*","limit":2000,"include_subdomains":true,"ignore_query_parameters":false}'

Node

bash
node -e '
const fs=require("fs");
const apiKey=JSON.parse(fs.readFileSync(process.env.HOME+"/.xcrawl/config.json","utf8")).XCRAWL_API_KEY;
const body={url:"https://example.com",filter:"/docs/.*",limit:3000,include_subdomains:true,ignore_query_parameters:false};
fetch("https://run.xcrawl.com/v1/map",{
  method:"POST",
  headers:{"Content-Type":"application/json",Authorization:`Bearer ${apiKey}`},
  body:JSON.stringify(body)
}).then(async r=>{console.log(await r.text());});
'

Request Parameters

Request endpoint and headers

  • Endpoint: POST https://run.xcrawl.com/v1/map
  • Headers:
  • Content-Type: application/json
  • Authorization: Bearer <api_key>

Request body: top-level fields

FieldTypeRequiredDefaultDescription
urlstringYes-Site entry URL
filterstringNo-Regex filter for URLs
limitintegerNo5000Max URLs (up to 100000)
include_subdomainsbooleanNotrueInclude subdomains
ignore_query_parametersbooleanNotrueIgnore URLs with query parameters

Response Parameters

FieldTypeDescription
map_idstringTask ID
endpointstringAlways map
versionstringVersion
statusstringcompleted
urlstringEntry URL
dataobjectURL list data
started_atstringStart time (ISO 8601)
ended_atstringEnd time (ISO 8601)
total_credits_usedintegerTotal credits used

data fields:

  • links: URL list
  • total_links: URL count
  • credits_used: credits used
  • credits_detail: credit breakdown

Workflow

  1. Restate mapping objective.
  • Discovery only, selective crawl planning, or structure analysis.
  1. Build and execute POST /v1/map.
  • Keep filters explicit and reproducible.
  1. Return raw API response directly.
  • Do not synthesize URL-family summaries unless requested.

Output Contract

Return:

  • Endpoint used (POST /v1/map)
  • request_payload used for the request
  • Raw response body from map call
  • Error details when request fails

Do not generate summaries unless the user explicitly requests a summary.

Guardrails

  • Do not claim full site coverage if limit is reached.
  • Do not mix inferred URLs with returned URLs.
  • Do not hardcode provider-specific tool schemas in core logic.

Frequently asked questions

What does the Xcrawl Map AI skill do?

Use this skill for XCrawl map tasks, including site URL discovery, regex filtering, scope estimation, and crawl planning before full-site crawling.

Why use Xcrawl Map on TypingMind?

Because you install it once and use it with any model. Xcrawl Map is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Xcrawl Map in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xcrawl-api/xcrawl-skills/tree/main/skills/xcrawl-map. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Xcrawl Map?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Xcrawl Map?

As many as you like. As long as a model supports skills, you can use Xcrawl Map with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Xcrawl Map AI skill free?

It is published on GitHub by xcrawl-api. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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