Clean messy tabular data through OpenRefine using command-line operations. Import files, inspect rows, apply reusable JSON transformation histories, and export cleaned CSV or TSV data, with session support for undoing and redoing changes.
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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.
安装前可以查看交给 AI 代理的指令内容。
Use this skill when a task needs OpenRefine data cleaning, transformation, reusable operation histories, or CSV/TSV export from an automated agent workflow.
Install the harness:
cd openrefine/agent-harness
python -m pip install -e .
Start OpenRefine before backend commands:
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.
--json on every one-shot command.--session <path> for isolated task state.data apply.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
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:
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.
When --json is set, command failures write a JSON object to stderr with ok: false.
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Build and improve Python command interfaces for GUI applications with OpenClaw. The skill guides source analysis, command design, testing, and packaging, including interactive sessions and structured JSON output for agents.
中文简介正在准备中。当前显示英语简介。
Use Codex to build Python command-line tools for applications with graphical interfaces. Analyze source code, add commands, test against the actual software, validate packaging and documentation, and discover tools already generated or installed.
中文简介正在准备中。当前显示英语简介。
Use Reasonix to build or improve a Python command-line interface for existing software. The workflow covers source analysis, interactive commands, JSON output, tests, documentation, and installation checks using the software’s own backend where possible.
中文简介正在准备中。当前显示英语简介。
Inspect and edit 3MF files for 3D printing. Detect cylindrical holes, change their diameters, repair mesh issues, and compare files while preserving BambuStudio and PrusaSlicer metadata when repacking the edited file.
中文简介正在准备中。当前显示英语简介。
Manage AdGuard Home network filtering from the command line. Update blocklists, register devices, configure DNS rules that map names to addresses, and inspect query logs and statistics through the AdGuard Home REST API.
中文简介正在准备中。当前显示英语简介。
Generate slides, documents, websites, and diagrams from natural language prompts through AnyGen OpenAPI. Manage reference uploads, check generation progress, and download finished files using commands with structured output for AI agents.
中文简介正在准备中。当前显示英语简介。