Cli Anything Openrefine

OrganizationPopular

HKUDS

cli-anything-openrefine

Use OpenRefine through an agent-native CLI for importing messy data, applying JSON operation histories, inspecting rows, exporting cleaned data, and managing session undo/redo.

Overview

Publisher	HKUDS
Repository	`CLI-Anything`
Skill name	`cli-anything-openrefine`
Stars	49.5K
Forks	4.6K
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

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 HKUDS on GitHub. Read the source before you install it.

Installation

Install the Cli Anything Openrefine 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.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/HKUDS/CLI-Anything/tree/main/openrefine/agent-harness/cli_anything/openrefine/skills

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/HKUDS/CLI-Anything.git /tmp/CLI-Anything
mkdir -p .claude/skills
cp -r /tmp/CLI-Anything/openrefine/agent-harness/cli_anything/openrefine/skills .claude/skills/cli-anything-openrefine

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

Use it in TypingMind

Enable Cli Anything Openrefine 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 Cli Anything Openrefine 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 Cli Anything Openrefine 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.

CLI-Anything OpenRefine

Use this skill when a task needs OpenRefine data cleaning, transformation, reusable operation histories, or CSV/TSV export from an automated agent workflow.

Prerequisites

Install the harness:

bash
cd openrefine/agent-harness
python -m pip install -e .

Start OpenRefine before backend commands:

bash
openrefine -i 127.0.0.1 -p 3333

Set a custom server with OPENREFINE_URL=http://127.0.0.1:3333 or pass --base-url.

Command Rules For Agents

Prefer --json on every one-shot command.
Use --session <path> for isolated task state.
Import or open a project before row, apply, export, undo, or redo commands.
Existing OpenRefine operation-history JSON can be passed directly to data apply.
Generated files are normal OpenRefine operation JSON and exported CSV/TSV data.

Common Commands

bash
cli-anything-openrefine --json server ping
cli-anything-openrefine --json project list
cli-anything-openrefine --json --session run/session.json project import messy.csv --name cleanup
cli-anything-openrefine --json --session run/session.json data rows --limit 10
cli-anything-openrefine --json ops text-transform run/trim.json --column Name --expression 'value.trim()'
cli-anything-openrefine --json --session run/session.json data apply run/trim.json
cli-anything-openrefine --json --session run/session.json data export run/clean.csv --format csv
cli-anything-openrefine --json --session run/session.json session undo
cli-anything-openrefine --json --session run/session.json session redo

REPL

Run cli-anything-openrefine with no subcommand to enter the REPL.

For automated user journeys, pipe newline-separated REPL commands through stdin. Redirected streams automatically use an ASCII-only input/output path while interactive terminals retain the Unicode banner, prompt history, and styling:

bash
printf 'help\nexit\n' | cli-anything-openrefine

Unicode payloads are rendered as reversible ASCII backslash escapes when the REPL is redirected, preventing legacy Windows output encodings from turning a successful command into a failed journey.

Piped workflows return a nonzero exit status at exit or EOF if any command failed, allowing CI to detect an unsuccessful user journey.

Error Handling

When --json is set, command failures write a JSON object to stderr with ok: false.

Frequently asked questions

What does the Cli Anything Openrefine AI skill do?

Use OpenRefine through an agent-native CLI for importing messy data, applying JSON operation histories, inspecting rows, exporting cleaned data, and managing session undo/redo.

Why use Cli Anything Openrefine on TypingMind?

Because you install it once and use it with any model. Cli Anything Openrefine 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 Cli Anything Openrefine in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HKUDS/CLI-Anything/tree/main/openrefine/agent-harness/cli_anything/openrefine/skills. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cli Anything Openrefine?

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 Cli Anything Openrefine?

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

Is the Cli Anything Openrefine AI skill free?

Yes. It is published on GitHub by HKUDS under the Apache-2.0 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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Setup Matt Pocock Skills

mattpocock

CommunityPopular

Configure this repo for the engineering skills: set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.

Tdd

Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.

To Spec

Turn the current conversation into a spec and publish it to the project issue tracker: no interview, just synthesis of what you've already discussed.

To Tickets

Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker (edges as text in one file per ticket…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

CLI-Anything OpenRefine

Prerequisites

Command Rules For Agents

Common Commands

REPL

Error Handling

Frequently asked questions

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