Crawlkit

Community

vincentkoc

crawlkit

Maintain and release the crawlkit Go library, preserving downstream compatibility for gitcrawl, slacrawl, discrawl, and notcrawl.

Overview

Publisher	vincentkoc
Repository	`dotskills`
Skill name	`crawlkit`
Stars	112
Forks	9
Bundled files	2
License	MIT
Links	Skill source Repository

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.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by vincentkoc on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/vincentkoc/dotskills/tree/main/skills/crawlkit
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.

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/vincentkoc/dotskills.git /tmp/dotskills
mkdir -p .claude/skills
cp -r /tmp/dotskills/skills/crawlkit .claude/skills/crawlkit

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Crawlkit 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 Crawlkit 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 Crawlkit 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.

Crawlkit

Purpose

Maintain crawlkit, the shared Go library for crawl app archive infrastructure. Use this skill to keep shared archive infrastructure reusable, tagged, and safe for downstream app branches.

When to use

Editing or reviewing crawlkit.
Moving common crawl app behavior into the library.
Checking whether gitcrawl, slacrawl, discrawl, or notcrawl can merge against a released crawlkit tag.
Preparing or verifying a crawlkit Go module release.
Investigating shared TUI, snapshot, config, SQLite, mirror, progress, or control metadata behavior.

Workflow

Locate the crawlkit checkout from the current repository, an explicit user path, or the configured workspace root.
Read repo-local AGENTS.md, README.md, CONTRIBUTING.md, and docs/publishing.md before release or compatibility work.
Keep provider-specific logic out of crawlkit. Shared mechanics belong in packages such as config, store, snapshot, mirror, state, output, progress, tui, cache, and control.

Run the library gate with workspace masking disabled:

bash
GOWORK=off go mod tidy
git diff --exit-code -- go.mod go.sum
GOWORK=off go vet ./...
GOWORK=off go test -count=1 ./...

For release checks, verify the signed tag and public Go proxy:

bash
git tag -v <version>
GOPROXY=https://proxy.golang.org GONOSUMDB= go list -m github.com/vincentkoc/crawlkit@<version>

For downstream readiness, inspect app branches read-only. Confirm they are clean, rebased, require the released crawlkit version, and pass:

bash
GOWORK=off go test ./...
<app> --help
<app> --version
<app> metadata --json
<app> status --json
<app> tui --json

Use temp HOME, XDG_CONFIG_HOME, and XDG_CACHE_HOME for CLI smokes. Never mutate live app archives.

Inputs

Target task: library edit, release verification, downstream readiness, or TUI backport.
Optional version tag such as v0.4.0.
Optional downstream app branch paths.

Outputs

A clean crawlkit change or readiness report.
Validation commands and results.
Explicit compatibility risks for downstream app branches.
Local binary rebuild notes only when the user asks for app binaries.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

agents/openai.yaml1 KB
assets/icon.jpg37 KB

Frequently asked questions

What does the Crawlkit AI skill do?

Maintain and release the crawlkit Go library, preserving downstream compatibility for gitcrawl, slacrawl, discrawl, and notcrawl.

Why use Crawlkit on TypingMind?

Because you install it once and use it with any model. Crawlkit 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 Crawlkit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vincentkoc/dotskills/tree/main/skills/crawlkit. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Crawlkit?

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 Crawlkit?

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

Is the Crawlkit AI skill free?

Yes. It is published on GitHub by vincentkoc under the MIT license. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Crawlkit

Purpose

When to use

Workflow

Inputs

Outputs

Bundled files

Frequently asked questions

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