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
Install
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.
npx agentmarket install skill/hybridaione-datalion
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, spreadsheets, design, backend
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.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 directlyFrom HybridAIOne/hybridclaw, MIT.
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Featured in
Signals
- Stars
- 159
- Forks
- 17
- Open issues
- 323
- Last commit (this folder)
- Apr 8, 2026 (6 months ago)
- Last release
- Oct 24, 2026 (3 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/HybridAIOne/hybridclaw
- Website
- www.hybridclaw.io/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
datalion skill. Agent Mart. https://agentmart.dev/skills/hybridaione-datalion (last updated 2026-10-24)