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datalion

Use for DataLion workflows such as listing, reading, creating, or editing projects, inspecting data sources, importing Excel or CSV data, working with reports…

Skill by HybridAIOne

IndexedMIT★ 159
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Use for DataLion workflows such as listing, reading, creating, or editing projects, inspecting data sources, importing Excel or CSV data, working with reports and report tabs and codebooks, reading chart tables, or coordinating dashboard and export work through a configured datalion MCP server and related API or UI paths.

Use cases: documents, spreadsheets, design, backend

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

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  • ~/.claude/skills/datalion

What's inside

Skill name
datalion
Description
Use for DataLion workflows such as listing, reading, creating, or editing projects, inspecting data sources, importing Excel or CSV data, working with reports and report tabs and codebooks, reading chart tables, or coordinating dashboard and export work through a configured datalion MCP server and related API or UI paths.
License
MIT
Instructions
244 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • setup-and-capabilities.md · references/

SKILL.md (first lines)

# DataLion

Use this skill for DataLion project, project-settings, data-import, codebook,
chart-table, report, report-tab, dashboard, and export workflows.

In DataLion, "tab" and "dashboard" are used interchangeably for the report
subpages managed under a report.

## Default Strategy

1. Verify the `datalion` MCP server is enabled and inspect which
   `datalion__*` tools are actually available in the current session.
2. Use MCP first for supported actions.
3. Do not invent Datalion MCP tools. If a matching tool is missing, switch to a
   REST or browser/UI path from
   [references/setup-and-capabilities.md](references/setup-and-capabilities.md).
4. Read first, write second. Restate the exact target object and proposed
   mutation before calling a write path.

## Setup

- Run HybridClaw in host sandbox mode for this local Node-based MCP server.
- Install the bridge dependencies before first use:
  `npm --prefix <path-to-your-datalion-repo>/mcp install`
- Keep `DATALION_API_TOKEN` inside MCP server config `env`, never in tracked
  files or chat.
- Use the MCP server name `datalion` so tools appear as `datalion__...`.
- For `hybridclaw gateway mcp add ...`, pass the JSON config as one quoted
  shell argument. In `zsh`, unquoted `{...}` and `[...]` will be expanded
  before HybridClaw sees them.
- See
  [references/setup-and-capabilities.md](references/setup-and-capabilities.md)
  for ready-to-paste CLI and TUI examples, dependency notes, and ability
  requirements.

## Working Rules

- Always state whether you are using MCP, REST API, or browser/UI automation.
- Resolve the exact project, report, dashboard, export, or chart before
  mutating anything.
- The current bridge directly supports project listing, project reads, project
  creation, project settings updates, data source listing, CSV upload, full
  Excel/CSV import, report list/create and tab CRUD, chart-table reads, and
  codebook list, download, generation, deletion, and upload.
- The bridge also exposes 4 browser URL helpers for project/report/dashboard
  opening and widget insertion.
- The current bridge tool surface has 22 tools total: 18 backend MCP actions
  and 4 browser URL helpers.
- Prefer `datalion__list_projects` and `datalion__read_project` before writes
  when the exact target project is not already pinned down.
- Treat `datalion__upload_data` as a data-import tool, not a generic
  project-update tool.
- Treat `datalion__edit_project` as a `defsettings` merge tool. It updates only
  the keys you pass and keeps the existing settings for all other keys.
- Use `datalion__list_data_sources` to inspect what is already loaded into a
  project before uploading or troubleshooting data.
- Prefer `datalion__import_excel_data` when the source is an `.xlsx` workbook or
  when you want Datalion's full import pipeline, including optional codebook
  generation during import.
- Use `datalion__list_codebook` when the user needs a question-level inventory;
  use `datalion__download_codebook` for the tree structure.
- For workbook imports, prefer an absolute `localPath` so the bridge can read
  the file directly.
- For uploads, confirm filename, header and delimiter assumptions, data source
  name if relevant, and whether existing rows should be truncated.
- For `import_excel_data`, confirm `projectId`, file path or base64 file
  content, filename if you are not using `localPath`, whether you want the
  default main data source (`useDefaultDataSource=true`) or a named data
  source, and whether `replaceData`, `runCalculations`, `convertComma`,
  `skipLines`, `comment`, and `createCodebook` should be enabled.
- For project settings edits, confirm the target `projectId` and the exact
  `defsettings` keys and values before calling.
- For chart-table reads, confirm `projectId`, `chartId`, and any filter string
  before calling.
- For codebook uploads, confirm `projectId`, CSV filename, import mode, and
  whether any explicit column mapping is needed. The current backend expects
  `columnMapping` as an array aligned to the CSV header order.
- For reports, prefer direct MCP coverage first.
- For dashboard and export tasks without direct MCP coverage, inspect the local
  Datalion repo and its OpenAPI or route definitions before choosing a fallback
  path.
- Keep tokens, auth headers, and exported files out of logs unless the user
  explicitly asks for them.

## Current MCP Coverage

The current `datalion` bridge exposes these direct tools:

- `datalion__list_projects`
- `datalion__read_project`
- `datalion__create_project`
- `datalion__edit_project`
- `datalion__list_data_sources`
- `datalion__upload_data`
- `datalion__import_excel_data`
- `datalion__list_reports`
- `datalion__create_report`
- `datalion__create_report_tab`
- `datalion__edit_report_tab`
- `datalion__delete_report_tab`
- `datalion__open_project_browser`
- `datalion__open_report_browser`
- `datalion__open_dashboard_browser`
- `datalion__open_add_widget_browser`
- `datalion__get_chart_table`
- `datalion__list_codebook`
- `datalion__download_codebook`
- `datalion__generate_codebook`
- `datalion__delete_codebook`
- `datalion__upload_codebook`

That means:

- project discovery and project detail reads are supported directly
- project creation is supported directly
- project settings updates through `defsettings` merges are supported directly
- project data sources can be listed directly
- CSV-style data import into an existing project is supported directly
- workbook and full-pipeline Excel/CSV import are supported directly

From HybridAIOne/hybridclaw, MIT.

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    License
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    First seen
    Oct 24, 2026
    Last checked
    Oct 24, 2026

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    Cite this page

    datalion skill. Agent Mart. https://agentmart.dev/skills/hybridaione-datalion (last updated 2026-10-24)