Fast Dash
dkedar7/fast_dash
Build a Fast Dash web app from a Python function. An agent skill from dkedar7/fast_dash.
A skill your agent uses when building, debugging, testing, or maintaining Plotly Dash applications, callbacks, server backends, component packages, renderer internals, and Dash repository workflows.
Install Dash
$ npx skills add VectorSpaceLab/AREX-Skill --skill dash -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill dash --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/dash .claude/skills/dash && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "dash" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/dash into .claude/skills/dash/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dash", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/dashType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add VectorSpaceLab/AREX-Skill --skill dash -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill dash --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/repositories/repo-skills/dash .agents/skills/dash && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dash" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/dash into .agents/skills/dash/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dash", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill dash -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill dash --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/repositories/repo-skills/dash .cursor/skills/dash && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dash" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/dash into .cursor/skills/dash/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dash", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/VectorSpaceLab/AREX-Skill.git --path skills/repositories/repo-skills/dash--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add VectorSpaceLab/AREX-Skill --skill dash -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill dash --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/repositories/repo-skills/dash .gemini/skills/dash && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "dash" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/dash into .gemini/skills/dash/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dash", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install VectorSpaceLab/AREX-Skill dashInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add VectorSpaceLab/AREX-Skill --skill dash -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/repositories/repo-skills/dash .github/skills/dash && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "dash" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/dash into .github/skills/dash/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dash", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill dash -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill dash --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/repositories/repo-skills/dash .opencode/skills/dash && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dash" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/dash into .opencode/skills/dash/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dash", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
dash- GitHub stars
- 328
- Token cost
- ~1.6k tokens
- SKILL.md length
- 571 words
- Files
- 7 (incl. scripts, references)
- Skills in repo
- 157
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when building, debugging, testing, or maintaining Plotly Dash applications, callbacks, server backends, component packages, renderer internals, and Dash repository workflows.
- Maintaining Plotly Dash applications
- SKILL.md covers Read first, Quick install and smoke check, Route by task and Important boundaries
- Runs Python scripts from its folder; calls python and npm
- Server backends
What it does
Dash is an agent skill from VectorSpaceLab/AREX-Skill. Use when building, debugging, testing, or maintaining Plotly Dash applications, callbacks, server backends, component packages, renderer internals, and Dash repository workflows.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/package-overview.md`, `references/repo-provenance.md` and `references/repo-routing-metadata.json`).
It sits in Backend & APIs. It works with Plotly and Python. The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is MIT.
When your agent uses it
- Maintaining Plotly Dash applications
- Server backends
- Component packages
- Renderer internals
Example prompts
- “/dash”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit ac3fe1a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonnpm
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Dash loads about 1.6k tokens when it runs, and up to ~5.8k if it reads all its reference files. Until then it costs about 46 tokens; SKILL.md has 571 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from VectorSpaceLab/AREX-Skill at commit ac3fe1a, republished under its MIT licence (© VectorSpaceLab). 571 words, ~1,553 tokens.
Download SKILL.mdSave it as
.claude/skills/dash/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- dash
- description
- Use when building, debugging, testing, or maintaining Plotly Dash applications, callbacks, server backends, component packages, renderer internals, and Dash repository workflows.
- disable-model-invocation
- true
- metadata.disco-role
- operating
- license
- MIT
Dash Repo Skill
Dash is Plotly's Python framework for building reactive web applications with Python layouts, React component bundles, and server-side or clientside callbacks. Use this repo skill when a task involves Dash application code, callback routing, Dash server backends, component wrapper generation, the Dash renderer, or Dash repo test/build workflows.
Read first
- Read references/package-overview.md for the installed package shape, public imports, optional extras, CLIs, and major subsystems.
- Read references/troubleshooting.md for cross-cutting install/import, generated component, optional dependency, Node, browser, and stale-skill failures.
- Read references/repo-provenance.md before deciding whether this skill matches a current Dash checkout.
- Run scripts/check_dash_install.py when you need a safe import/optional-backend/CLI diagnostic before using deeper routes.
Quick install and smoke check
For ordinary app use:
python -m pip install dash
python - <<'PY'
import dash
from dash import Dash, html, dcc, Input, Output
print(dash.__version__)
app = Dash(__name__)
app.layout = html.Div([dcc.Input(id="name"), html.Div(id="out")])
@app.callback(Output("out", "children"), Input("name", "value"))
def update(value):
return value or ""
print(app.layout.to_plotly_json()["type"], len(app.callback_map))
PYChoose extras only when the workflow needs them:
| Need | Install |
|---|---|
| Selenium/browser testing fixtures | python -m pip install "dash[testing]" |
| Diskcache background callbacks | python -m pip install "dash[diskcache]" |
| Celery background callbacks | python -m pip install "dash[celery]" plus a broker/result backend |
| FastAPI backend and WebSocket callbacks | python -m pip install "dash[fastapi]" |
| Quart backend | python -m pip install "dash[quart]" |
async def callbacks on Flask | python -m pip install "dash[async]" |
| Component generation helpers | install Dash from a checkout with the development dependencies needed by the component package |
Route by task
Build or debug a Dash app
Use sub-skills/app-callback-workflows/SKILL.md when the task mentions:
Dash(...), layout trees,html,dcc,dash_table, component IDs, assets, URL prefixes, Jupyter display, CSP hashes, or pages.@app.callback,@dash.callback,Input,Output,State,MATCH,ALL,ALLSMALLER,ctx,callback_context,PreventUpdate,no_update, orPatch.- Clientside callbacks or
window.dash_clientside.
Start with its callbacks and layouts reference, then use its smoke scripts for layout/callback/page checks.
Select backends, async, WebSocket, background callbacks, hooks, or MCP
Use sub-skills/server-backends-and-async/SKILL.md when the task mentions:
- Flask, FastAPI, Quart, ASGI, backend adapters, custom backends, or route handling.
async defcallbacks,dash[async],websocket_callbacks,websocket=True,persistent=True,ctx.websocket,set_props, or WebSocket disconnects.background=True,DiskcacheManager,CeleryManager,progress,running,cancel, or callback caching.- Dash hooks, WebSocket connection hooks, MCP resources/tools, or
configure_mcp_server.
Run its backend inspection script for a safe optional-extra report before promising backend coverage.
Show full SKILL.md (238 more words)Show less
Work on custom components, built-in components, resources, or renderer
Use sub-skills/component-renderer-development/SKILL.md when the task mentions:
dash-generate-components,dash-update-components,renderer, component metadata, generated Python wrappers, R/Julia wrapper generation, or built-in component packages.Component,to_plotly_json,_children_props,_js_dist,_css_dist,serve_locally,external_url,dev_package_path, or resource fingerprints.dash-renderer, callback queues,setProps,crawlLayout,paths,window.dash_component_api, SharedWorker/WebSocket client, React versions, or JSX runtime problems.
Use its CLI-check scripts before running heavier Node or component builds.
Choose tests, build/lint commands, or repo-maintenance workflow
Use sub-skills/testing-and-maintenance/SKILL.md when the task mentions:
pytest,dash_duo, Selenium, ChromeDriver, Percy, renderer tests, component tests,npm run build,npm run lint, Black/flake8/pylint/eslint/prettier, or contribution policy.- A patch to Dash source where you need a focused native test plan.
Follow its rule: never run all integration tests by default. Use focused files and preserve enough output to see tracebacks and assertion context.
Important boundaries
- Do not claim FastAPI, Quart, Diskcache, Celery, browser, renderer, or component build workflows are available until the relevant extra/tool/service is installed and checked.
- Do not use a CPU import check as proof of browser, Node, Celery broker, or WebSocket runtime behavior.
- For package-use tasks, prefer public APIs and bundled references/scripts in this skill. For repo-maintenance tasks, the testing sub-skill may tell you how to run focused commands in a current Dash checkout.
- If the current checkout commit, generated component wrapper state, or package version differs from references/repo-provenance.md, treat this skill as potentially stale and refresh it before relying on maintainer-specific details.
© VectorSpaceLab, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 6 other files (scripts, references) in skills/repositories/repo-skills/dash of VectorSpaceLab/AREX-Skill.
- SKILL.md
- references/package-overview.md
- references/repo-provenance.md
- references/repo-routing-metadata.json
- references/troubleshooting.md
- scripts/check_dash_install.py
- sub-skills
Open the folder on GitHubat commit ac3fe1a
Compare with similar skills
Dash next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dash this skillVectorSpaceLab/AREX-Skill | 328 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Fast Dashdkedar7/fast_dash | 129 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Microsim Generatordmccreary/ibook-skills | 105 | — | ~11k | Automated safety check: Pass | None | |
| Silk Profilerbaserow/baserow | 6.1k | — | ~2.9k | Automated safety check: Pass | Custom licence | |
| Land TS MonoUKGovernmentBEIS/inspect_ai | 3k | — | ~3k | Automated safety check: Pass | MIT | |
| Opensource Guide Coachcalf-ai/calfkit-sdk | 149 | 1 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 |
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Categories
Questions about Dash
What does Dash do?
A skill your agent uses when building, debugging, testing, or maintaining Plotly Dash applications, callbacks, server backends, component packages, renderer internals, and Dash repository workflows. Dash is an agent skill from VectorSpaceLab/AREX-Skill. Use when building, debugging, testing, or maintaining Plotly Dash applications, callbacks, server backends, component packages, renderer internals, and Dash repository workflows.
When should I use Dash?
Dash fits situations like: maintaining Plotly Dash applications; server backends; component packages; renderer internals.
How do I install Dash in Claude Code?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill dash -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/dash in VectorSpaceLab/AREX-Skill) into .claude/skills/dash in your project. Claude Code loads it when a task matches its description.
How do I install Dash in Codex?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill dash -a codex`. Or copy the skill folder (skills/repositories/repo-skills/dash in VectorSpaceLab/AREX-Skill) into .agents/skills/dash in your project. Codex loads it when a task matches its description.
Can I use Dash in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add VectorSpaceLab/AREX-Skill --skill dash -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dash, .gemini/skills/dash, .github/skills/dash and .opencode/skills/dash in your project.
What does Dash need to run?
Going by SKILL.md and its folder, Dash needs Python for the scripts in its folder and the command-line tools its instructions call (python and npm). Our summary lists: Python 3.
Does Dash access the network?
SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Dash safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Dash use?
Dash is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Dash use?
About 1.6k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.3k tokens, read only when the agent opens those files.
What are the alternatives to Dash?
Skills that share tags, products or a category with Dash: Fast Dash (dkedar7/fast_dash, 129 stars), Microsim Generator (dmccreary/ibook-skills, 105 stars), Silk Profiler (baserow/baserow, 6.1k stars) and Land TS Mono (UKGovernmentBEIS/inspect_ai, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Dash?
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 328 GitHub stars. The repository holds 157 skills in this directory. The repository was last updated on September 3, 2026.
Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.