Firecrawl Dashboard Reporting

Organization

firecrawl

firecrawl-dashboard-reporting

Pull metrics from analytics dashboards and internal web tools with Firecrawl browser. Use when the user needs dashboard reporting, cross-platform metric summaries, authenticated analytics extraction, date-range reports, or structured metrics from web dashboards.

Overview

Publisher	firecrawl
Repository	`firecrawl-workflows`
Skill name	`firecrawl-dashboard-reporting`
Stars	175
Forks	38
Bundled files	Instructions only
License	ISC
Links	Skill source Repository

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

Installation

Install the Firecrawl Dashboard Reporting 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.
https://github.com/firecrawl/firecrawl-workflows/tree/main/skills/firecrawl-dashboard-reporting
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/firecrawl/firecrawl-workflows/tree/main/skills/firecrawl-dashboard-reporting

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/firecrawl/firecrawl-workflows.git /tmp/firecrawl-workflows
mkdir -p .claude/skills
cp -r /tmp/firecrawl-workflows/skills/firecrawl-dashboard-reporting .claude/skills/firecrawl-dashboard-reporting

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

Use it in TypingMind

Enable Firecrawl Dashboard Reporting 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 Firecrawl Dashboard Reporting 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 Firecrawl Dashboard Reporting 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.

Firecrawl Dashboard Reporting

Use this to extract visible metrics from dashboards the user can legitimately access.

Onboarding Interview

Infer dashboard URLs, metrics, date range, and output format from context. If dashboard targets are clear and accessible, proceed immediately.

Ask at most 1-3 concise questions only if blocked, such as the dashboard URLs, auth/profile requirement, or date range.

Firecrawl Collection Plan

Use Firecrawl browser for authenticated dashboards and UI interaction:

open each dashboard
set or verify date range
extract visible KPI cards, tables, and labels
click tabs, expand sections, and scroll tables
use export/download buttons only when appropriate and allowed

If login has expired, ask the user to re-authenticate rather than attempting to bypass access controls.

Parallel Work

If appropriate, use sub-agents or equivalent parallel task runners. Split by dashboard platform or metric category. Each researcher should return metrics, units, period, source URL, and caveats.

Final Deliverable

markdown
# Dashboard Report

## Summary
[Highlights, alerts, trends]

## Metrics By Dashboard
[Platform, metric, value, unit, change, period]

## Tables Or Exports
[Captured tables/files and what they contain]

## Notes And Caveats
[Auth issues, chart-only data, unavailable metrics]

## Rerun Inputs
workflow: firecrawl-dashboard-reporting
dashboards: [urls]
date_range: [range]
metrics: [list]
output: [json/markdown]

JSON Shape

Use reportedAt, dateRange, dashboards[], metrics[], tables[], exports[], and summary.

Quality Bar

Extract actual numbers, not just chart labels.
Note when a chart cannot be read precisely.
Preserve date ranges and source URLs.

Frequently asked questions

What does the Firecrawl Dashboard Reporting AI skill do?

Why use Firecrawl Dashboard Reporting on TypingMind?

Because you install it once and use it with any model. Firecrawl Dashboard Reporting 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 Firecrawl Dashboard Reporting in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/firecrawl/firecrawl-workflows/tree/main/skills/firecrawl-dashboard-reporting. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Firecrawl Dashboard Reporting?

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 Firecrawl Dashboard Reporting?

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

Is the Firecrawl Dashboard Reporting AI skill free?

Yes. It is published on GitHub by firecrawl under the ISC 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Firecrawl Dashboard Reporting

Onboarding Interview

Firecrawl Collection Plan

Parallel Work

Final Deliverable

JSON Shape

Quality Bar

Frequently asked questions

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